The Territory Director plays a strategic role in scaling the business, building and maintaining relationships with strategic partners, sourcing and acquiring new customers, and managing overall relationships at buying accounts within the territory.

Responsibilities:

• Exceed quarterly/annual sales targets in all practice areas
• Co-Sell with Anthropic, Snowflake, AWS, and other ecosystem partners
• Drive and execute lead generation activities
• Partner with team members to scope and present solutions to prospects and clients
• Take accountability for the phData brand in the territory and accounts
• Navigate complex organizational structures to identify key stakeholders
• Accurately forecast, update deals, and manage sales pipeline
• Complete and embrace training for continuous improvement and new company initiatives

Qualifications:

• 5+ years of B2B sales experience in technology services
• Experience in cloud services, data services, and/or AI is a plus
• Strong verbal, written, and presentation skills
• Ability to craft proposals, SOWs, negotiate contracts, deliverables, and pricing
• Enthusiasm to work in a fast-paced, high-growth environment
• Ability to work cross-functionally and be inclusive in the sales process
• Proven track record of sourcing, negotiating, and closing $250K+ deals

Why phData?

• Remote-First Work Environment
• A casual, award-winning small-business work environment
• A culture that prizes autonomy, creativity, and transparency
• Competitive compensation, benefits, PTO, and perks

XML job scraping automation by YubHub

The Territory Director plays a strategic role in scaling the business, building and maintaining relationships with strategic partners, sourcing and acquiring new customers, and managing overall relationships at buying accounts within the territory.

Responsibilities:

• Exceed quarterly/annual sales targets in all practice areas
• Co-Sell with Anthropic, Snowflake, AWS and other ecosystem partners
• Drive and execute lead generation activities
• Partner with team members to scope and present solutions to prospects and clients
• Take accountability for the phData brand in the territory and accounts
• Navigate complex organizational structures to identify key stakeholders
• Accurately forecast, update deals, and manage sales pipeline
• Complete and embrace training for continuous improvement and new company initiatives

Qualifications:

• 5+ years of B2B sales experience in technology services
• Experience in cloud services, data services, and/or AI is a plus
• Strong verbal, written and presentation skills
• Ability to craft proposals, SOWs, negotiate contracts, deliverables and pricing
• Enthusiasm to work in a fast-paced, high-growth environment
• Ability to work cross-functionally, and be inclusive in the sales process
• Proven track record of sourcing, negotiating and closing $250K+ deals

Why phData?

• Remote-First Work Environment
• A casual, award-winning small-business work environment
• A culture that prizes autonomy, creativity, and transparency
• Competitive compensation, benefits, PTO, and perks

XML job scraping automation by YubHub

We are looking for a Technical Delivery Manager to join our Elastic Platform Operations (EPO)/Managed Services team. In this role, you will lead and scale the design, implementation, and ongoing operations of modern data platforms for multiple enterprise customers, ensuring reliable delivery and continuous improvement of their cloud data environments.

Key Responsibilities

Client Delivery

• Own and drive the delivery and operational excellence of modern data platforms (including streaming, data lakes, and analytics) for multiple customer accounts.
• Translate business and technical requirements into actionable Epics, Stories, and Tasks that mature and improve customer data platforms while aligning to phData methodologies and best practices.
• Ensure engagements are delivered on time, within scope, and on budget, with clear measures of success and value for customers.
• Lead and motivate client technical teams, providing hands-on technical leadership for design, implementation, and ongoing operational support of cloud data platforms.
• Provide leadership during major incidents, ensuring effective coordination, communication, escalation, and follow-through to resolution, root cause analysis, and remediation.

Collaboration & Leadership

• Collaborate with cross-functional partners including architects, engineers, and site reliability/operations teams in the US and India to deliver successful client engagements and seamless handoffs across time zones.
• Develop strong relationships with sponsors and stakeholders, keeping them informed of progress and outcomes, hosting leadership discussions, and identifying opportunities to expand the value of our services.
• Ensure teams are trained and prepared to deliver by driving accurate process documentation, clear internal and external communication, and continuous readiness for production operations.
• Maintain proper staffing levels across accounts, balancing delivery between US and India team members to support continuous delivery and high customer satisfaction.

Practice & Firm Contribution

• Deliver feedback and drive improvements to our overall Managed Services offerings through process optimization, knowledge sharing, and creation of accelerators and reusable assets.
• Champion phData’s core values and foster a culture of accountability, ownership, and continuous improvement within delivery teams.
• Contribute to the evolution of best practices for incident management, change management, and modern data platform operations across multiple customers.

Additional Responsibilities

• Act as a trusted advisor to senior client stakeholders (Director and VP level), shaping roadmaps for cloud data platforms and influencing strategic decisions around data and analytics operations.
• Mentor and coach architects, engineers, and operations team members, helping them grow technical depth and delivery capabilities across large and complex environments.
• Help define and refine Managed Services standards, playbooks, and frameworks to support scalable growth across a broad customer base.

About You

You are a client-focused technical delivery leader who enjoys owning complex data platform operations, guiding teams through ambiguity, and building strong relationships with stakeholders. You are equally comfortable discussing architectural trade-offs with engineers and outcomes with business leaders, and you thrive in a remote, global, outcomes-driven environment.

Required Qualifications

Experience

• 5+ years of experience in technical management, IT architecture, customer relationship management, project management, and/or delivery management, ideally within data, analytics, or infrastructure operations.

Technical / Functional Skills

• Hands-on experience with at least one major cloud platform, specifically Amazon Web Services (AWS) or Microsoft Azure.
• Technical knowledge deploying and managing modern cloud data technologies such as Snowflake, dbt, Fivetran, Airflow, Redshift, Matillion, Databricks, Azure Synapse, Qlik, StreamSets, NiFi, Cloudera, Coalesce, and EMR (not all required but familiarity with several is expected).
• Background in IT operations, infrastructure, or production support, including managing modern data platforms or data warehouses for multiple customers of various sizes.
• Experience leading technical operations teams through multiple large or complex projects, including backlog creation (Epics, Stories, Tasks), prioritization, and delegation.
• Experience scoping and planning large-scale, complex technology infrastructure or modern data platform initiatives.
• Demonstrated ownership of incident and escalation processes, including coordination among technical teams, end-users, and stakeholders through resolution, root cause analysis, and remediation.
• Active daily use of AI coding tools (Cursor, GitHub Copilot, Claude, ChatGPT, or equivalent) with demonstrated judgment about when to trust, verify, and correct AI-generated output.
• Ability to describe specific engineering tasks completed with AI assistance.

Consulting / Delivery Skills

• Experience delivering services for external or internal customers in a professional services, managed services, or similar client-facing environment, including direct interaction with global customers and business partners.
• Ability to interact confidently with Director and VP level stakeholders, guiding discussions, building relationships, and communicating complex technical information in accessible ways (written, verbal, and formal presentations).
• Proven experience coordinating across technical teams managing IT infrastructure services or modern data platforms for multiple customers concurrently.
• Strong written and verbal communication skills in English.

Collaboration & Ownership

• Demonstrated ability to lead and collaborate with distributed, cross-functional teams across regions (e.g., US, LATAM, and/or India) and time zones.
• Strong leadership skills with a professional track record of creating, challenging, and improving processes and procedures.
• Highly organized, strategic thinker, and effective problem-solver who can manage multiple priorities and accounts simultaneously with minimal supervision.
• Flexibility to work across time zones as needed to support global teams and customers.

Education

• Bachelor’s degree in Computer Science or a related field, or equivalent practical experience (degree preferred but not required).

Preferred Qualifications

• Experience managing IT or data operations/production support environments, including leading data warehouse, ML, or data engineering teams.
• Experience working with cloud data platforms such as Snowflake, Databricks, and Azure Synapse in a multi-customer or managed services context.
• Additional experience with tools such as Qlik, StreamSets, NiFi, Cloudera, or Coalesce.
• Prior experience in a consulting, managed services, or MSP-style environment supporting multiple enterprise customers.
• Prior experience working in global or remote teams and partnering across US, LATAM, and/or India.
• Demonstrated passion and curiosity for learning new technologies and staying current with technology trends to inform business strategy.
• Contributions to internal accelerators, process improvements, or knowledge sharing initiatives are a plus.

Location & Time Zone Expectations

This role is based in the US and operates primarily in Central or Eastern US time zones, with regular collaboration with teams in India and across the Americas.

• We are a remote-first company, and you should be comfortable working with a distributed global team.
• Some flexibility may be required to collaborate across time zones with colleagues and clients.
• Client needs may occasionally require flexibility in working hours and willingness to travel for client visits, team workshops, and strategic planning sessions.

Why phData?

• Impactful Work: Partner with leading organizations on meaningful data & AI initiatives.
• Collaborative Culture: Work with a supportive, high-performing global team that values transparency, autonomy, and continuous improvement.
• Growth Opportunities: Access to challenging projects, mentorship, and structured development pathways.
• Values-Driven: We prioritize doing the right thing for our clients, our teams, and our community.

Benefits at phData

US:

• Remote-First Work Environment
• 401k plan with company match
• Dental and Vision insurance
• Home Office Equipment Stipend
• Annual stipend for Learning and Development
• Competitive comp, excellent benefits, 4 weeks PTO plan plus 10 Holidays (and other cool perks)

XML job scraping automation by YubHub

We're growing fast, and we give our people real ownership over their work. We hire top performers and trust them to deliver results.

As a Sr. Advisory Consultant, focused on bringing Master Data Management recommendations and solutions to life, you'll help clients design and operationalize MDM programs that treat their most critical data as a strategic asset. This is a hands-on consulting role focused on building end-to-end MDM processes, defining match, merge, and survivorship rules, and enabling the tools and workflows clients need to sustain high-quality, trusted master data.

Core Responsibilities

MDM Strategy and Process Design

• Gather and document business requirements for MDM design, including data domains, ownership, governance boundaries, and decision rights.
• Map stakeholders and decision rights across the client organization, and navigate the politics and competing priorities that determine whether governance decisions actually hold.
• Own the executive sponsor relationship , establishing steering committee cadence, keeping sponsors engaged, and escalating directly if sponsorship disengages.
• Build the business case for MDM scope, tying recommendations to the revenue, cost, or risk outcomes the executive sponsor cares about.
• Support the design of tailored MDM programs with recommendations on end-to-end workflows, ingress and egress data flows, team structure, and scope.
• Collaborate with data engineers, analysts, and business owners to embed MDM processes into daily workflows, platform pipelines, and modeling practices.
• Apply data quality processes such as profiling, monitoring, and issue management to ensure rules are practical and adopted.

Match, Merge, and Survivorship

• Partner with business teams to draft and maintain business rules governing match, merge, and survivorship logic for master data entities.
• Define and document matching criteria and thresholds tailored to the client's data landscape and business requirements.
• Establish survivorship rules that determine which record attributes are promoted to the golden record based on source system trust and business priority.
• Support testing and validation of match, merge, and survivorship configurations in client environments.
• Bring a modern perspective on MDM operating model design and rollout.

Tool Enablement & Adoption

• Evaluate and recommend MDM tooling options based on client requirements, data volumes, and existing technology landscape.
• Translate MDM design decisions into clear specifications for technical resources to configure and build within MDM and DQ tools (e.g., Semarchy, Informatica, Reltio, or equivalent), and validate the build against those specifications.
• Leverage AI-assisted features in modern tools (auto-classification, definition drafting, similarity matching, lineage discovery) to accelerate MDM execution.
• Facilitate MDM working groups and coach client staff on stewardship practices to drive alignment and sustainable data ownership.
• Communicate MDM concepts in clear business language; prepare training materials and adoption guides for executive and cross-functional audiences.

Required Qualifications

• 5+ years of experience in MDM, data governance, metadata management, or related roles.
• Hands-on experience with MDM and/or data catalog tools (e.g., Informatica, Reltio, Semarchy, Talend, Ataccama, or equivalent).
• Experience operating at the program level when MDM is a workstream within a larger transformation initiative (e.g., ERP/CRM modernization, M&A integration), not only standalone scoped delivery.
• Experience leading or supporting MDM working groups or data stewardship councils.
• Knowledge of data access provisioning, integration patterns, ingress/egress flows, or lineage capture.
• Demonstrated ability to define and obtain alignment for business rules, matching logic, and data quality controls.
• Strong communication skills: able to facilitate workshops, write clear business documentation, and present to mixed audiences.
• Experience mentoring or developing other consultants.
• Experience supporting scoping, SOW development, and effort estimation for consulting engagements.
• Familiarity with governance operating models and stewardship practices.
• Willingness to travel up to 50% per month when required by our clients.

Preferred Skills

• Hands-on experience with Semarchy specifically.
• Experience leading full MDM engagements end-to-end as the primary client-facing owner, directing technical resources and business analysts.
• Bachelor's degree in Information Systems, or related field (or equivalent work experience).

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You'll play a key role in helping clients embed governance and stewardship into their daily work. This is a hands-on role focused on executing governance activities, supporting metadata cataloging, and applying practical data quality controls.

Key Responsibilities:

• Facilitate data governance working groups to drive alignment between business and technology stakeholders.
• Execute metadata management activities such as cataloging, lineage capture, and stewardship workflows.
• Partner with business teams to draft and maintain business rules, definitions, and data quality controls.
• Apply data quality processes such as profiling, monitoring, and issue management, ensuring rules are practical and adopted.
• Support the installation, configuration, rollout and adoption of governance/metadata tools (e.g., Collibra, Alation, Atlan, Purview).
• Coach client staff on data stewardship practices,showing them how to govern their data effectively and sustainably.
• Communicate governance concepts in clear business language; prepare presentations, training materials, and adoption guides.
• Provide input on access controls, privacy, and compliance with regulations (GDPR, CCPA, etc.)
• Collaborate with data engineers, analysts, and business owners to embed governance into daily workflows, platform pipelines, modeling practices, and observability.
• Metadata Tools & Platform Enablement - Install and configure metadata/catalog tools in client environments.
• Build and curate catalogs, including ingestion of technical metadata, business glossaries, and lineage.
• Define user personas and design role-appropriate experiences (data stewards, data owners, analysts, engineers).
• Tailor tool UX (workflows, dashboards, search optimization) to improve usability and adoption.
• Configure governance workflows (e.g., DG asset approvals, stewardship assignments, issue tracking).
• Leverage and guide customers on AI-assisted features in modern tools (auto-classification, definition drafting, similarity matching, lineage discovery) to accelerate execution and adoption.

Qualifications:

• 5+ years of experience in data governance, metadata management, or related roles.
• Hands-on experience with data catalog/metadata tools (e.g., Alation, Collibra, Atlan, Purview).
• Exposure to data quality tools and processes (Informatica, Talend, Ataccama, or equivalent).
• Strong communication skills: able to facilitate workshops, write clear business documentation, and present to mixed audiences.
• Demonstrated ability to define and obtain alignment for definition, business rules and data quality controls.
• Familiarity with governance operating models and stewardship practices.
• Knowledge of privacy regulations (GDPR, CCPA) and how governance practices support compliance.
• Willingness to travel as required by clients.
• Bachelor’s degree in Information Systems, or related field (or equivalent work experience).

Preferred Skills:

• Experience leading or supporting data governance working groups or stewardship councils.
• Knowledge of data access provisioning, integration patterns, or lineage capture.
• Experience building adoption materials, training guides, or playbooks for governance programs.
• Prior client-facing consulting experience.

XML job scraping automation by YubHub

The Territory Director plays a strategic role in scaling our business. As a key player within our Sales organization, you are accountable for building and maintaining relationships with strategic partners within our ecosystem, sourcing and acquiring new customers, and managing the overall relationship at buying accounts within your territory.

Responsibilities:

• Exceed quarterly/annual sales targets in all practice areas (Data Engineering, Managed Services, Machine Learning, and Analytics)
• Co-Sell with Anthropic, Snowflake, AWS and other ecosystem partners to sell transformative data and AI engineering services and solutions into enterprise companies.
• Drive and execute lead generation activities (i.e. cold calls, email, social, regional events, etc.) to grow market share and awareness within your region.
• Partner with team members (Managing Directors, Solutions Engineering, Marketing, etc.) to scope and present solutions to prospects and clients.
• Take accountability for the phData brand in your territory and accounts, including all sales, delivery and overall customer success for accounts with your region.
• Navigate complex organizational structures to identify key stakeholders, champions and budget owners across various lines of business within an account.
• Accurately forecast, update deals, and manage sales pipeline.
• Complete and embrace training for continuous improvement and new company initiatives.

Qualifications:

• 5+ years of B2B sales experience in technology services. Experience in cloud services, data services, and/or AI is a plus.
• Experience co-selling with technology partners. Experience in Snowflake, Azure, AWS, and related platforms is a plus.
• Strong verbal, written and presentation skills.
• Ability to craft proposals, SOWs, negotiate contracts, deliverables and pricing.
• Enthusiasm to work in a fast paced, high-growth environment.
• Ability to work cross-functionally, and be inclusive in your sales process.
• Possess natural curiosity about your customer and their business.
• Proven track record of sourcing, negotiating and closing $250K+ deals that turn into multi-million dollar customers.
• Ability to travel up to 50%

Benefits at phData

US:

• Remote-First Work Environment
• 401k plan with company match
• Dental and Vision insurance
• Home Office Equipment Stipend
• Annual stipend for Learning and Development
• Competitive comp, excellent benefits, Flexible PTO plus 10 Holidays (and other cool perks)

XML job scraping automation by YubHub

We're growing fast, and we give our people real ownership over their work. We hire top performers and trust them to deliver results.

Role Overview We are looking for a Solutions Architect – Managed Services to join our Elastic Platform Operations (EPO) team. In this role, you will lead the design, implementation, and ongoing optimization of cloud-native data platforms on Snowflake, AWS, and Azure for our managed services clients, ensuring they are secure, scalable, and aligned to strategic business goals.

Key Responsibilities

Client Delivery

• Own and drive end-to-end solution architecture, design, and implementation of large-scale, cloud-native data platform projects on Snowflake, AWS, and Azure for managed services customers.
• Translate business and technical requirements into secure, scalable platform solutions, including migrations from legacy platforms, integration of data lakes and data warehouses, and performance optimization of enterprise data workloads.
• Ensure engagements are delivered on time, within scope, and with measurable business value by proactively optimizing platform performance, reliability, and costs through automation, monitoring, and continuous improvement.

Collaboration & Leadership

• Collaborate with cross-functional partners across sales, engineering, and support, as well as client stakeholders including executives, to align platform strategies and roadmaps with business goals and ensure high customer satisfaction.
• Provide hands-on technical leadership to delivery teams during migrations, integrations, incident response, and performance tuning, guiding engineers through complex implementation challenges.
• Ensure high quality in deliverables through robust architecture standards, documentation, testing, and governance, including the implementation of strong security and data governance practices on client platforms.
• Partner with practice and account leaders to manage multiple customer engagements simultaneously, preventing resource overruns, maximizing platform ROI, and reinforcing phData’s Operational Maturity Framework with clients.

Practice & Firm Contribution

• Contribute to the evolution of phData’s Elastic Platform Operations offerings by promoting the Operational Maturity Framework, codifying best practices, and feeding lessons learned back into accelerators, templates, and playbooks.
• Mentor and develop junior engineers, sharing best practices in cloud-native architecture, operations, and consulting to foster a culture of continuous learning and excellence.
• Support pre-sales and scoping efforts as needed by partnering with sales and practice leadership to shape viable managed services solutions that balance technical feasibility, risk, and client value.

About You You are a strategic, client-focused solutions architect who enjoys building and operating scalable, cloud-native data platforms that solve complex business problems. You are comfortable leading technical teams, managing multiple projects, and operating in distributed, global environments where outcomes and continuous improvement matter more than routines.

Required Qualifications

Experience

• 8+ years of hands-on experience architecting, designing, implementing, and managing cloud-native data platforms and solutions, ideally in a consulting or managed services environment.

Technical / Functional Skills

• Deep expertise with modern enterprise data platforms such as Snowflake, Amazon Redshift, and Azure SQL Data Warehouse, including strong skills in performance tuning and troubleshooting.
• Strong cloud experience across AWS, Azure, and the Snowflake ecosystem, including services such as S3, ADLS, Kinesis, Azure Data Factory, dbt, and Kafka.
• Proven ability to build and operate scalable, secure data platforms aligned to strategic business goals, with a focus on operational excellence and continuous improvement.
• Advanced proficiency in Microsoft SQL and SQL-based workloads, including writing, debugging, and optimizing complex queries.
• Experience with infrastructure-as-code tools and CI/CD pipelines and tooling.
• Hands-on experience with data integration and ingestion tools.
• Active daily use of AI coding tools with demonstrated judgment about when to trust, verify, and correct AI-generated output.

Consulting / Delivery Skills

• Strong client-facing communication skills, with experience presenting architectural recommendations to executive stakeholders and creating clear, detailed solution documentation.
• Experience delivering and managing multiple concurrent customer engagements in a professional services or consulting environment, ensuring timely delivery and optimized operations.
• Ability to serve as a trusted advisor on data platform strategy, helping clients navigate technical trade-offs to meet business goals.
• Ability to break down complex, ambiguous platform challenges into structured, actionable steps and drive them through to completion.

Collaboration & Ownership

• Demonstrated ability to work effectively with distributed and cross-functional teams, including sales, engineering, and support, to ensure seamless project delivery and high customer satisfaction.
• Proven track record of taking ownership of outcomes, anticipating upstream data and platform changes, and proactively managing risks to minimize impact on users and systems.
• Experience mentoring and guiding junior engineers and contributing to a culture of continuous learning and operational excellence.

Education

• Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.

Benefits at phData

• Remote-First Work Environment
• 401k plan with company match
• Medical, Dental and Vision insurance
• Home Office Equipment Stipend
• Annual stipend for Learning and Development
• Competitive comp, excellent benefits, 4 weeks PTO plan plus 10 Holidays

XML job scraping automation by YubHub

We're growing fast, and we give our people real ownership over their work. We hire top performers and trust them to deliver results.

Solutions Architect

Data Engineering

Role Overview

We are looking for a Solutions Architect to join our Data Engineering team. In this role, you will partner directly with clients to understand business objectives, architect scalable Data & AI solutions, and lead engineering teams through successful delivery from discovery through production deployment. You'll combine deep technical expertise with strong consulting skills to solve complex technical challenges, advise technical leaders, and communicate effectively with executive stakeholders. You won't simply design solutions,you'll lead their successful delivery while embracing AI-first engineering practices that improve speed, quality, and client outcomes.

Key Responsibilities

• Lead discovery sessions to uncover business goals, technical requirements, and solution constraints, while translating complex client challenges into scalable, production-ready Data & AI architectures.
• Serve as the primary technical advisor throughout client engagements.
• Provide clear recommendations on architecture, tooling, implementation approaches, and technical trade-offs, while developing architecture diagrams, design documentation, implementation plans, and technical standards.
• Lead and own the successful delivery of enterprise Data & AI solutions from architecture through production deployment and guide engineering teams through implementation while proactively identifying technical risks and removing delivery blockers.
• Leverage AI throughout the software delivery lifecycle to improve solution design, engineering productivity, documentation, testing, troubleshooting, and client outcomes while guiding clients on practical AI adoption.
• Mentor engineers through architectural guidance, technical coaching, design reviews, and contribute to hiring, onboarding, and technical enablement.

About You

You are a client-facing technical leader who enjoys solving complex data challenges and driving clear outcomes from ambiguity. You are comfortable operating in distributed, global teams and partnering with colleagues across time zones. You combine strong communication and consulting skills with deep hands-on expertise in modern Data & AI platforms and engineering practices. You are equally comfortable leading technical discussions with engineering teams, influencing executive stakeholders, and helping clients navigate complex architectural decisions while delivering measurable business value.

Required Qualifications

Experience

• 8+ years of experience in Solutions Architecture, Data Engineering, or related consulting roles.
• Proven experience designing and delivering enterprise Data & AI solutions into production within cloud environments.
• Demonstrated experience delivering with AI, leveraging modern AI technologies throughout the software delivery lifecycle to improve solution design, engineering productivity, code quality, testing, documentation, troubleshooting, and client outcomes.
• Strong consulting experience leading technical discovery, solution architecture, and client-facing engagements.

Technical / Functional Skills

• Hands-on experience with many of the following cloud and data platforms: Snowflake, Databricks, Google BigQuery, AWS, Microsoft Azure, Google Cloud Platform.
• Hands-on experience with data engineering technologies: Python, SQL, Java and/or Scala, Spark, Kafka, Airflow, dbt, Fivetran, Matillion, or similar technologies.
• Experience with modern engineering practices including: CI/CD, Infrastructure as Code, observability, and monitoring.
• Experience incorporating AI into day-to-day engineering and solution delivery using technologies such as: Anthropic Claude, OpenAI, GitHub Copilot, Microsoft Copilot, Google Gemini, Snowflake Cortex AI, AWS Bedrock, LangChain, LangGraph, or similar enterprise AI development platforms and frameworks.

Preferred Qualifications

• Industry certifications across Snowflake, AWS, Azure, GCP, Anthropic, and/or Databricks.
• Contributions to technical communities through speaking, writing, open source, or internal enablement.

Benefits at phData

• Remote-First Work Environment
• 401k plan with company match
• Dental and Vision insurance
• Home Office Equipment Stipend
• Annual stipend for Learning and Development
• Competitive comp, excellent benefits, 4 weeks PTO plan plus 10 Holidays (and other cool perks)

XML job scraping automation by YubHub

We are looking for a Sr. Solutions Architect – Managed Services to join our Elastic Platform Operations (EPO) team. In this role, you will operate, mature, and optimize modern cloud data platforms spanning streaming, data lakes, data warehouses, and analytics to ensure performance, security, scalability, and user satisfaction.

Key Responsibilities

Client Delivery

• Own and drive the operation, reliability, and continuous improvement of modern cloud data platforms (streaming, data lakes, data warehouses, and analytics) for enterprise customers.
• Translate business and technical requirements into robust cloud-native data platform architectures and implementation plans that align with phData methodologies, standards, and best practices.
• Ensure engagements are delivered on time, within scope, and with measurable business value by providing architectural guidance and hands-on operational support for platforms such as Snowflake and Amazon Redshift.
• Proactively identify and articulate best practices, platform optimizations, and automation opportunities to help customers get the most value from their Cloud Data Platform.

Collaboration & Leadership

• Collaborate with cross-functional partners (engineering, analytics, ML, support, and others) to design, build, and operate modern data platforms for our clients.
• Act as a technical leader across multiple simultaneous customer accounts, skillfully navigating complex environments and aligning stakeholders on priorities and approaches.
• Provide technical and strategic leadership during workshops, discovery sessions, design reviews, and operational reviews, including creating and delivering detailed technical presentations.
• Ensure high quality in deliverables through rigorous troubleshooting, performance tuning, documentation, testing, governance, and change management.
• Partner with practice and account leaders to build Epics, Stories, and Tasks that mature and improve customer data platforms, delegating effectively to Engineers and ensuring successful and timely delivery.

Practice & Firm Contribution

• Contribute to internal initiatives such as codifying operational best practices, building accelerators, templates, and playbooks, and enhancing our cloud data platform offerings.
• Continually hunt for ways to automate and optimize existing processes, tooling, and workflows, and share improvements with the broader team.
• Train and mentor engineers on new technology stacks, operational practices, and platform standards.
• Represent phData with professionalism in all interactions, communicating clearly with both technical and non-technical stakeholders.

Additional Responsibilities

• Act as a trusted advisor to senior client stakeholders, shaping data platform roadmaps, influencing strategic decisions, and guiding long-term initiatives.
• Mentor and coach team members, fostering a culture of learning, feedback, and continuous improvement in cloud data platform operations.
• Help define and refine practice standards, reusable assets, and delivery frameworks for cloud-native data platforms and managed services.
• Lead complex incident response and post-incident review efforts, driving systemic improvements that enhance performance, reliability, and user satisfaction.

About You

You are a client-focused technical leader and problem solver who enjoys operating and improving complex cloud data platforms, driving automation, and coaching engineers to deliver reliable, scalable solutions. You are comfortable working in a fast-paced, outcomes-driven environment with distributed, global teams and partnering closely with clients across time zones.

Required Qualifications

Experience

• 10+ years of experience in modern cloud data platforms, data warehousing, consulting, and data engineering/operations.

Technical / Functional Skills

• Extensive experience providing architectural guidance and operational support for cloud-native data warehouses such as Snowflake and/or Amazon Redshift across a large user base.
• Expertise with cloud-native data technologies in AWS and/or Azure, including services such as S3, Aurora, Athena, Redshift, SageMaker, Azure SQL/DevOps, and Azure Data Factory.
• Production support experience in large enterprise environments supporting cloud data platforms and a variety of cloud data technologies.
• Strong working knowledge of SQL, with the ability to write, debug, and optimize complex queries for performance and maintainability.
• Strong troubleshooting, performance tuning, and database administration skills for cloud data platforms.
• Active daily use of AI coding tools (Cursor, GitHub Copilot, Claude, ChatGPT, or equivalent) with demonstrated judgment about when to trust, verify, and correct AI-generated output.
• Ability to describe specific engineering tasks completed with AI assistance.

Consulting / Delivery Skills

• Experience delivering projects for external or internal clients in a professional services or consulting environment.
• Ability to break down complex, ambiguous platform challenges into structured, actionable steps and drive them through to completion.
• Strong written and verbal communication skills in English, including the ability to create and deliver detailed presentations to client and internal audiences.

Collaboration & Ownership

• Demonstrated ability to work effectively with distributed and cross-functional teams (including engineering, analytics, and support) to ensure seamless project delivery and high customer satisfaction.
• Proven track record of taking ownership, managing multiple priorities across several customer accounts, and delivering high-quality work with minimal supervision.
• Proven experience learning new technology stacks, training team members, and creating, challenging, and improving processes and procedures.

Education

• Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.

Preferred Qualifications

• Production and/or database administration experience and certifications in core data platforms such as Snowflake, AWS, Azure, GCP, Hadoop, or Databricks.
• Production experience with cloud and distributed data storage technologies such as S3, ADLS, HDFS, GCS, Kudu, Elasticsearch/Solr, Cassandra, or other NoSQL storage systems.
• Production experience with data integration technologies such as Spark, Kafka, event/streaming platforms, StreamSets, Matillion, Fivetran, HVR, NiFi, AWS Data Migration Service, Azure Data Factory, Google Dataproc, or similar tools.
• Production experience with workflow management and orchestration tools such as Airflow, AWS Managed Airflow, Luigi, or NiFi.
• Working experience with infrastructure as code using Terraform or CloudFormation.
• Strong expertise in a scripting language (preferably Python) to automate repetitive tasks and improve operational efficiency.
• Experience with continuous integration and deployment frameworks and tools such as Bitbucket, GitHub, Flyway, and Liquibase.
• Experience as a technical team lead, providing direction, coaching, and support to engineers.
• Bachelor’s degree in Computer Science or a related field.

Location & Time Zone Expectations

This role is based in the US and operates primarily in Central and Eastern time zones.

• We are a remote-first company, and you should be comfortable working with a distributed global team.
• Some flexibility may be required to collaborate across time zones with colleagues and clients.
• Client needs may occasionally require flexibility in working hours to support key milestones or workshops.

Why phData?

• Impactful Work: Partner with leading organizations on meaningful data & AI initiatives.
• Collaborative Culture: Work with a supportive, high-performing global team that values transparency, autonomy, and continuous improvement.
• Growth Opportunities: Access to challenging projects, mentorship, and structured development pathways.
• Values-Driven: We prioritize doing the right thing for our clients, our teams, and our community.

Benefits at phData

US:

• Remote-First Work Environment
• 401k plan with company match
• Dental and Vision insurance
• Home Office Equipment Stipend
• Annual stipend for Learning and Development
• Competitive comp, excellent benefits, 4 weeks PTO plan plus 10 Holidays (and other cool perks)

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We are looking for a Solutions Architect to join our Data Engineering team. In this role, you will partner directly with our clients to understand business objectives, architect scalable Data & AI solutions, and lead engineering teams through successful delivery from discovery through production deployment.

Key Responsibilities:

• Lead discovery sessions to uncover business goals, technical requirements, and solution constraints, while translating complex client challenges into scalable, production-ready Data & AI architectures.
• Serve as the primary technical advisor throughout client engagements.
• Provide clear recommendations on architecture, tooling, implementation approaches, and technical trade-offs, while developing architecture diagrams, design documentation, implementation plans, and technical standards.
• Lead and own the successful delivery of enterprise Data & AI solutions from architecture through production deployment and guide engineering teams through implementation while proactively identifying technical risks and removing delivery blockers.
• Leverage AI throughout the software delivery lifecycle to improve solution design, engineering productivity, documentation, testing, troubleshooting, and client outcomes while guiding clients on practical AI adoption.
• Mentor engineers through architectural guidance, technical coaching, design reviews, and contribute to hiring, onboarding, and technical enablement.

Required Qualifications:

• 8+ years of experience in Solutions Architecture, Data Engineering, or related consulting roles.
• Proven experience designing and delivering enterprise Data & AI solutions into production within cloud environments.
• Demonstrated experience delivering with AI, leveraging modern AI technologies throughout the software delivery lifecycle to improve solution design, engineering productivity, code quality, testing, documentation, troubleshooting, and client outcomes.
• Strong consulting experience leading technical discovery, solution architecture, and client-facing engagements.

Technical / Functional Skills:

• Hands-on experience with many of the following cloud and data platforms: Snowflake, Databricks, Google BigQuery, AWS, Microsoft Azure, Google Cloud Platform.
• Hands-on experience with data engineering technologies: Python, SQL, Java and/or Scala, Spark, Kafka, Airflow, dbt, Fivetran, Matillion, or similar technologies.
• Experience with modern engineering practices including: CI/CD, Infrastructure as Code, observability, and monitoring.
• Experience incorporating AI into day-to-day engineering and solution delivery using technologies such as: Anthropic Claude, OpenAI, GitHub Copilot, Microsoft Copilot, Google Gemini, Snowflake Cortex AI, AWS Bedrock, LangChain, LangGraph, or similar enterprise AI development platforms and frameworks.

Benefits at phData US:

• Remote-First Work Environment
• 401k plan with company match
• Dental and Vision insurance
• Home Office Equipment Stipend
• Annual stipend for Learning and Development
• Competitive comp, excellent benefits, 4 weeks PTO plan plus 10 Holidays

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This is a highly client-facing role. You will operate as a Program Manager for data and AI programs, accountable for both execution and client outcomes.

Core Responsibilities:

• Lead complex AI and data programs as the primary point of contact for client sponsors and partners, owning successful delivery and client outcomes.
• Translate client strategy into clear roadmaps and integrated delivery plans, balancing pace, quality, scope, and risk across multi-geo teams.
• Partner closely with technical delivery leads, architects, and engineers to ensure delivery aligns to business goals and measurable value.
• Own engagement financials including budget, burn, margins, forecasting, utilization, and change control; proactively manage risk and variances using delivery metrics.
• Build strong, trust-based relationships with senior client, partner, and technical stakeholders, providing concise status updates and executive-ready storytelling.
• Navigate ambiguity, competing priorities, and difficult trade-offs with calm, data-informed recommendations.
• Manage project risks and customer escalations end-to-end in close partnership with delivery and sales.
• Identify opportunities to expand phData services, including AI and analytics offerings, within existing accounts.
• Provide account health readouts covering financials, project status, AI adoption metrics, and key blockers.
• Help shape a healthy, inclusive delivery culture by coaching Project Managers and consultants, and contributing to the evolution of AI-augmented delivery practices.

Core Requirements:

• Proven experience leading client-facing programs and working directly with executive stakeholders, with strong written and verbal communication skills.
• 5+ years of Technical Program / Program Management experience in a consulting or professional services environment, managing timelines, scope, budgets, and resources for data and AI programs.
• Experience running multi-workstream initiatives across data platforms, analytics, cloud, and/or AI/ML, with strong command of Agile/iterative delivery and solid understanding of Waterfall.
• Background in AI, data, and analytics projects, with familiarity across modern data stacks such as Snowflake, AWS/Azure/GCP, modern BI, and ML/LLM platforms, including associated risks and trade-offs.
• Demonstrated ownership of performance across a project portfolio, including billable utilization and management of multiple customers concurrently.
• Proficiency in Jira, Azure DevOps, MS Project, and Excel, along with strong written technical documentation skills.
• Experience leading remote, multi-geo teams.
• Bachelor’s degree in IT or a related technical field.
• PMP and CSM certifications are strongly preferred.
• Willingness to travel up to 50% per month (10 of 20 business days) when required by our clients

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We partner with industry leaders, including Snowflake, AWS, Anthropic, Glean, and dbt, to solve the complex data and AI challenges that slow large enterprises.

We're growing fast, and we give our people real ownership over their work. We hire top performers and trust them to deliver results.

What You'll Do

Executive Advisory & Delivery

Serve as a senior advisor to Customer executives (CIO, CFO, CTO, CDO, Chief AI Officer, and their staffs) on AI strategy, governance, and organizational change tied to Anthropic/Claude adoption.

Design and personally lead strategy sessions, and advisory engagements spanning AI operating model design, governance frameworks, and FinOps for AI cost management.

Bring a defined perspective on FinOps in AI: unit economics of LLM usage, cost allocation and chargeback/showback models, model selection and token-cost tradeoffs, and how finance, engineering, and business functions should collaborate to manage AI spend at scale.

Act as the escalation point and quality bar for advisory delivery, ensuring engagements meet a consistently high standard and produce outcomes that customers can act on.

Practice & Business Growth

Own and grow the Anthropic-focused Advisory pipeline, translating our capabilities into offerings that Customers want to buy.

Partner with sales and account teams on presales, shaping proposals, scoping advisory engagements, and participating directly in Customer pursuits.

Work with Anthropic's GTM and alliance teams to develop joint offerings, referral pipeline, and co-selling motions.

Define and evolve the advisory service catalog, including offerings, pricing, and delivery methodology, as the practice scales.

Marketing & Thought Leadership

Publish points of view, whitepapers, and frameworks, particularly on AI FinOps, that establish phData and the individual as a recognized voice in the market.

Represent phData at industry events, webinars, and Anthropic-sponsored forums.

Partner with marketing on campaigns, case studies, and content that support pipeline generation for the Advisory practice.

Delivery Oversight

Oversee a portfolio of advisory engagements, ensuring consistent methodology, staffing, and quality across delivery teams.

Mentor and develop consulting talent within the Advisory practice.

Own Customer satisfaction and outcomes for related engagements, through proactive delivery management, executive engagement, and escalation resolution.

What You'll Bring

• 5+ years in management consulting, strategy advisory, or a senior enterprise technology leadership role, with a track record of advising C-level executives.
• Direct experience with FinOps, ideally spanning both cloud financial management and emerging AI/LLM cost management (token economics, model cost-performance tradeoffs, usage governance, chargeback/showback).
• Demonstrated experience designing and facilitating strategy sessions.
• Working knowledge of AI governance and responsible AI frameworks, and experience leading organizational change tied to AI or major technology adoption.
• Experience with Anthropic's Claude platform, and the broader enterprise AI landscape.
• Business development experience, comfortable shaping deals, scoping SOWs, and participating in presales conversations.
• A point of view others want to hear, comfortable writing, speaking, and representing the firm publicly.
• Willingness to travel up to 50% to Customer sites.

What Success Looks Like

• A growing, healthy pipeline of Anthropic-aligned advisory engagements, with phData recognized as a go-to partner for AI strategy, governance, and FinOps.
• A recognizable market point of view on AI FinOps, backed by published content and speaking engagements.
• Advisory delivery that consistently earns strong Customer feedback and repeat or expansion business.

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We're looking for a Machine Learning Solutions Architect to join our Applied AI team. In this role, you will translate complex business challenges into practical, production-ready Applied AI solutions that deliver measurable value for our clients. You will collaborate closely with client stakeholders, senior architects, and cross-functional delivery teams to design and guide implementation of robust AI systems.

Key Responsibilities:

• Lead the design of end-to-end Applied AI architectures that span predictive ML, MLOps, generative AI, LLM applications, agentic workflows, and intelligent automation aligned to client objectives and constraints.
• Translate ambiguous business requirements into clear solution designs, technical requirements, implementation roadmaps, and measurable success criteria for client engagements.
• Guide and contribute hands-on to prototypes, proofs of concept, and production implementations, ensuring high-quality delivery, robust integrations, and smooth transition into reliable production operations.
• Partner with client and internal stakeholders through discovery sessions, architecture workshops, and roadmap discussions to evaluate AI opportunities, recommend technology choices, and de-risk complex technical decisions.
• Ensure production AI systems are designed and implemented with strong attention to security, observability, evaluation, governance, cost-effectiveness, and ongoing monitoring, retraining, and support.

About You: You are a technically rigorous, client-focused problem solver who enjoys working in a fast-paced, outcomes-driven environment. You are comfortable operating in distributed, global teams and partnering with colleagues across time zones.

Required Qualifications:

• 8+ years of experience designing, building, or delivering Data, Analytics, Cloud, Software, Machine Learning, or AI solutions, including at least 5 years designing or leading AI, machine learning, MLOps, or data-intensive solutions in production.
• Strong understanding of Applied AI and modern machine learning systems, including predictive ML, MLOps, generative AI, LLM applications, RAG, and agentic architectures.
• Hands-on experience with production AI/ML systems, including evaluation, observability, security, governance, and operational support.
• Experience with modern cloud, data, and AI ecosystems such as Snowflake, Databricks, AWS, Azure, Google Cloud, dbt, Anthropic, OpenAI, or similar frameworks.
• Proficiency with programming and software development, preferably in Python, and strong working knowledge of SQL.

Benefits at phData US:

• Remote-First Work Environment
• 401k plan with company match
• Dental and Vision insurance
• Home Office Equipment Stipend
• Annual stipend for Learning and Development
• Competitive comp, excellent benefits, 4 weeks PTO plan plus 10 Holidays

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We're growing fast, and we give our people real ownership over their work. We hire top performers and trust them to deliver results.

Role Overview

We are looking for a Commercial Life Sciences leader to help grow and scale phData's Life Sciences - Commercial business across data, analytics, and AI.

You'll lead go-to-market development for our commercial offerings while staying close enough to delivery to shape practical, high-value client solutions - across market access, pricing and reimbursement, patient services, commercial operations, omnichannel, payer analytics, and gross-to-net.

What You'll Do

• Drive Customer Outcomes. Stay relentlessly focused on the client's end goals, evaluating and applying the right data, AI, and platform technologies to deliver tangible business and patient value.
• Serve as a Trusted Advisor. Build strong relationships with commercial, analytics, and data leaders and act as a credible thought partner.
• Drive Sales & Industry Growth. Lead business development that grows phData's commercial footprint across life sciences - shaping proposals, leading client orals, supporting strategic pursuits, and expanding existing accounts against shared revenue goals.
• Identify Expansion Opportunities. Work with account and partner teams to surface adjacent use cases, capture a backlog of next-step opportunities, and turn successful delivery into broader account growth.
• Own & Scale phData's Commercial Accelerators. Own the development of the commercial offerings themselves - defining what they are, what they're worth, and what they need to succeed - while a dedicated team builds them and you stay close enough to keep each build true to the commercial intent.

What Success Looks Like

• A stronger commercial life sciences pipeline, driven by sharper offerings and more effective pursuit support
• Higher win rates and better account expansion through domain-led solutioning
• A growing library of repeatable accelerators, demos, and packaged assets - offerings that get easier to deploy, demonstrate, and scale over time
• Tighter alignment between market demand, the solution roadmap, and delivery
• A faster path from client pain point to scalable solution concept to delivered value

Who You Are

You move fluidly between strategy and execution. You're credible enough to hold executive conversations and shape go-to-market direction, and practical enough to dive into use cases, requirements, and delivery tradeoffs when the work calls for it.

Required Qualifications

• ~10+ years in life sciences, with meaningful time in commercial domain roles, consulting, data and analytics, solution leadership, or adjacent commercial transformation work
• Strong working knowledge of one or more commercial domains: commercial analytics, market access, pricing and reimbursement, patient services, field analytics, omnichannel, commercial operations, or gross-to-net
• Experience shaping and selling data, analytics, digital, or AI-enabled solutions for life sciences clients
• Ability to engage both business and technical stakeholders and translate between commercial priorities and technical approaches
• A track record in client pursuits, proposals, workshops, or strategic account growth
• Comfort operating in ambiguity - structuring problems and moving from concept to execution
• Strong communication: clear narratives, solution framing, and executive-ready materials

Preferred Qualifications

• Experience across both industry and consulting/services/solution environments
• Depth in commercial intelligence platforms, payer analytics, patient access, field force analytics, or AI-enabled commercial workflows
• Direct experience with pharma commercial work such as launch planning, brand performance, segmentation and targeting, next-best-action, or omnichannel analytics
• Familiarity with life sciences commercial data sources and the vendors behind them: claims, formulary, payer, real-world data, specialty pharmacy, hub, HCP/HCO, contracting, and GTN data, via IQVIA, Komodo, Symphony, MMIT, Clarivate/DRG, Definitive Healthcare, Veeva (CRM and Network), or Salesforce Life Sciences Cloud
• Technical fluency across tools like Snowflake, Databricks, AWS, dbt, SQL, Python, R, SAS, Tableau, or Power BI - you don't need to be hands-on in all of them, but you should lead cross-functional conversations across business, data, analytics, ML, and platform teams with credibility
• Experience packaging reusable offerings, accelerators, or market-facing assets
• Co-sell or joint-solution experience with cloud, data, or application vendors
• Exposure to adjacent domains: patient support, provider analytics, or medtech commercial analytics

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We're growing fast, and we give our people real ownership over their work. We hire top performers and trust them to deliver results.

Role Overview

We are looking for a Principal Solutions Architect – Managed Services to join our Managed Services team. In this role, you will lead the architecture, operation, and continuous improvement of modern cloud-native data platforms for multiple customers, ensuring they are secure, scalable, and high-performing. You will collaborate closely with clients, engineers, and practice leadership to translate evolving requirements into actionable roadmaps and high-quality outcomes across streaming, data lakes, and analytics workloads.

Key Responsibilities

Client Delivery

• Own and drive the design, provisioning, and enhancement of cloud-native data solutions on AWS and/or Azure, leveraging deep expertise in Snowflake and related data services for enterprise-scale platforms.
• Lead the operation and management of modern data platforms,from streaming and data lakes to analytics,across a progressively evolving technical stack for multiple concurrent customer accounts.
• Translate business and technical requirements into Epics, Stories, and Tasks that mature and improve customers’ data platforms, ensuring timely and successful delivery of these initiatives.
• Provide architectural and operational guidance for cloud-native data warehouses (e.g., Snowflake, Redshift) and distributed storage technologies (e.g., S3, ADLS, NoSQL) to support large user bases.
• Recommend appropriate technologies and approaches to ensure performance, security, scalability, and user satisfaction, including data model design for data warehouses and data lakes.
• Continually identify and deliver automation and optimization opportunities that expand and harden customers’ data platforms and phData’s managed services offerings.

Collaboration & Leadership

• Serve as the technical leader across multiple accounts, providing clear ownership, direction, and decision-making while navigating complex customer environments.
• Delegate work effectively, coach engineers, and mentor team members, fostering upskilling and continuous learning across evolving technology stacks.
• Collaborate across technology stacks and organizational silos to integrate disparate functions and technologies into cohesive solutions.
• Create and deliver detailed technical presentations and recommendations for executive and senior stakeholders, articulating complex concepts clearly and confidently.
• Demonstrate calm, structured thinking under pressure,quickly assessing situations, formulating plans of action, and following through to successful outcomes.
• Manage the human side of delivery, engaging respectfully and confidently with teammates and customers, including during challenging conversations.

Practice & Firm Contribution

• Create, challenge, and improve processes and procedures to enhance the quality, consistency, and scalability of managed services delivery.
• Build automated solutions for repetitive administrative and operational tasks using Python or similar tooling to increase efficiency and reliability.
• Contribute to internal knowledge sharing, training, and upskilling initiatives that raise the technical bar across the team.
• Help refine and standardize patterns, runbooks, and best practices for modern data platforms, workflows, and CI/CD across the practice.

Additional Responsibilities

• Act as a trusted advisor to senior client stakeholders, shaping roadmaps, influencing strategic decisions, and guiding long-term initiatives.
• Mentor and coach team members, fostering a culture of learning, feedback, and continuous improvement.
• Help define and refine practice standards, reusable assets, and delivery frameworks.

About You

You are a client-focused technical leader and problem solver who thrives in fast-paced, operations-heavy environments with multiple concurrent customers and evolving requirements. You enjoy tackling complex data challenges, working across technology stacks and organizational boundaries, and turning ambiguity into structured plans and real outcomes. You bring strong presence, clear communication, and a collaborative mindset, valuing authenticity, psychological safety, and follow-through with teammates and clients alike.

Required Qualifications

Experience

• 15+ years of experience architecting, operating, and optimizing modern cloud-based data platforms and data warehouses in enterprise environments.

Technical / Functional Skills

• Advanced data platform expertise in Snowflake and at least one major cloud platform (AWS and/or Azure), with experience in Databricks or similar technologies.
• Hands-on experience with cloud and distributed data storage technologies such as S3, ADLS, Cassandra, or other NoSQL systems.
• Strong background in data integration technologies, including Spark, Kafka, event/streaming platforms, and tools such as Matillion, Fivetran, HVR, AWS Data Migration Services, and Azure Data Factory.
• Production experience with workflow management and orchestration tools such as Airflow, AWS Managed Airflow, and Luigi.
• Strong SQL skills, including the ability to write, debug, and optimize complex queries for performance and reliability.
• Extensive experience with Infrastructure as Code using Terraform or CloudFormation.
• Experience building automated solutions for repetitive administrative or operational tasks using Python or a similar language.
• Familiarity with CI/CD and deployment frameworks, including tools like Bitbucket, GitHub, Flyway, and Liquibase.
• Active daily use of AI coding tools (Cursor, GitHub Copilot, Claude, ChatGPT, or equivalent) with demonstrated judgment about when to trust, verify, and correct AI-generated output.
• Ability to describe specific engineering tasks completed with AI assistance.

Consulting / Delivery Skills

• Experience delivering projects and managed services for external or internal clients in a professional services, consulting, or complex enterprise environment.
• Ability to break down complex, multifaceted data challenges into structured, actionable steps and drive them through to completion.
• Proven experience as a technical team lead and mentor, providing direction, coaching, and quality oversight for engineers.
• Strong client-facing written and verbal communication skills, including comfort presenting detailed technical content to executive audiences.

Collaboration & Ownership

• Demonstrated ability to work effectively with distributed, cross-functional teams across platforms, applications, and organizational boundaries.
• Professional track record of creating, challenging, and improving processes and procedures to enhance delivery quality and efficiency.
• Unmatched troubleshooting and performance tuning skills, with a strong sense of ownership and follow-through.
• Presence and poise to manage the human side of delivery, including difficult conversations, while upholding a respectful and collaborative culture.

Education

• Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.

Preferred Qualifications

Preferred qualifications help candidates stand out but are not required for success in this role.

• Snowflake SnowPro Core certification.
• One or more Snowflake advanced certifications.
• Bachelor’s degree in Computer Science or a related field.
• Experience in managed services, operations-focused roles, or similar environments supporting multiple customers simultaneously.
• Prior experience working in global or remote teams and partnering across US, LATAM, and/or India.
• Contributions to open source, technical communities, speaking, writing, or internal accelerators are a plus.

Location & Time Zone Expectations

This role is based in US and operates primarily in Central and/or Eastern time zones with significant overlap to US Central Time.

• We are a remote-first company, and you should be comfortable working with a distributed global team.
• Some flexibility may be required to collaborate across time zones with colleagues and clients.
• Client needs may occasionally require flexibility in working hours to support key milestones or workshops.

Why phData?

• Impactful Work: Partner with leading organizations on meaningful data & AI initiatives.
• Collaborative Culture: Work with a supportive, high-performing global team that values transparency, autonomy, and continuous improvement.
• Growth Opportunities: Access to challenging projects, mentorship, and structured development pathways.
• Values-Driven: We prioritize doing the right thing for our clients, our teams, and our community.

Benefits at phData

US:

• Remote-First Work Environment
• 401k plan with company match
• Medical, Dental and Vision insurance
• Home Office Equipment Stipend
• Annual stipend for Learning and Development
• Competitive comp, excellent benefits, 4 weeks PTO plan plus 10 Holidays (and other cool perks)

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We are looking for a Principal Machine Learning Solutions Architect to join our Applied AI team. In this role, you will lead the architecture, implementation, and lifecycle management of AI/ML applications that deliver measurable business value for our clients.

Key Responsibilities:

• Own and drive end-to-end solution design and delivery of AI/ML and data solutions for strategic client accounts, ensuring reliable model deployment, retraining, monitoring, and production operations that create clear business impact.
• Translate complex business and data science requirements into scalable, secure, and resilient AI/ML architectures, defining the environments, data flows, and infrastructure required for model development, training, tuning, and serving.
• Lead technical and strategic client engagements, including workshops, discovery sessions, and architecture reviews, to align stakeholders on AI/ML roadmaps, deployment approaches, and production-readiness standards.
• Ensure the quality, reliability, and observability of AI/ML solutions through robust testing strategies, documentation, monitoring, and governance that meet security, compliance, and performance expectations.
• Contribute to and leverage reusable assets such as reference architectures, accelerators, templates, and playbooks, while mentoring team members and partnering with Sales and account leadership to grow strategic AI/ML engagements.

About You: You are a customer-obsessed technical leader and consultant who enjoys solving complex data and AI/ML challenges while building trusted relationships with clients. You are equally comfortable discussing architecture with executives and diving deep into code, infrastructure, and data pipelines with engineering teams.

Required Qualifications:

• 10+ years of experience as a Machine Learning Engineer, Software Engineer, Data Engineer, or Data Scientist building and deploying production data and machine learning solutions.

Technical / Functional Skills

• Strong proficiency in a modern programming language such as Python (or similar) for building production-grade data and ML solutions, including experience designing and integrating APIs and services that expose ML models.
• Ability to build and operate robust data pipelines across diverse data sources and toolsets, with strong working knowledge of SQL and experience writing, debugging, and optimizing complex and distributed queries.
• Hands-on experience with big data and analytics platforms such as Spark, Snowflake, Databricks, Redshift, Amazon EMR, HDFS, or similar large-scale data processing and storage technologies.
• Familiarity with multiple data source systems such as JMS, Kafka, RDBMS, data warehouses, MySQL, Oracle, and SAP, and how they integrate into analytical and ML environments.
• Systems-level knowledge of network and cloud architecture, Linux-based operating systems, and storage/compute platforms (e.g., AWS, Databricks, Cloudera), with proven experience designing and operating production ML systems for performance, security, scalability, and reliability.
• End-to-end software development lifecycle experience (design, documentation, implementation, testing, deployment, and ongoing operations) for data and ML solutions, including model deployment, monitoring, and lifecycle management.

Benefits at phData US:

• Remote-First Work Environment
• 401k plan with company match
• Dental and Vision insurance
• Home Office Equipment Stipend
• Annual stipend for Learning and Development
• Competitive comp, excellent benefits, 4 weeks PTO plan plus 10 Holidays

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phData partners with industry leaders, including Snowflake, AWS, Anthropic, Glean, and dbt, to solve the complex data and AI challenges that slow large enterprises.

Core Responsibilities

• Client Delivery & Execution
• Lead AI ecosystem assessments; identify maturity gaps and design tailored governance frameworks aligned to client's industry, regulatory environment, and AI enablement vision
• Own multi-workstream engagements; drive executive alignment and multi-year governance roadmaps connected to AI strategy and value realization
• Define governance evaluation and approval processes for AI tools and use cases: risk tiers, scoring methodology, and control expectations by risk tier
• Develop AI governance operating model blueprints: governing bodies, roles, RACIs, and interaction models across Technology, Product, InfoSec, Risk, and Legal
• Define and operationalize AI FinOps guardrails, including: spend visibility, budget thresholds, usage policies, platform/tool approval, license rationalization, and TCO decisions integrated into the broader governance model
• Facilitate executive and working sessions to align stakeholders and drive decisions
• Define governance metrics and dashboards tracking value, cost, risk exposure, control coverage, and governance effectiveness
• Recommend third-party AI governance tools; collaborate with engineering teams to ensure implementability on modern data & AI platforms
• Shape and close strategic opportunities in partnership with sales: value propositions, solution approaches, and delivery models
• Represent phData externally as a thought leader on AI governance at conferences, webinars, and partner events

• Client Leadership & Account Growth
• Serve as a trusted advisor to day-to-day client sponsors and senior stakeholders, owning relationships, aligning on delivery roadmaps, and surfacing expansion opportunities
• Partner with executive sponsors, data and analytics leaders, product and delivery teams, and business end users to ensure seamless execution and measurable outcomes
• Build cross-practice relationships (Data Engineering, Analytics, AI/ML, Advisory) to design and deliver end-to-end solutions that drive customer success

• Thought Leadership & Practice Development
• Contribute to phData's AI Governance, Operating Model, and FinOps offerings: methods, templates, accelerators, and client-ready collateral
• Support sales pursuits, webinars, and thought leadership focused on AI governance
• Mentor consultants and senior consultants

Required Qualifications

• 5+ years in AI/Data ecosystem assessment, multi-stakeholder program leadership, and advising senior executives on AI or data governance
• Demonstrated experience designing governance frameworks: risk tiering, model risk management, platform/tool approval processes
• Operating model design experience: roles, RACIs, governance bodies for data, analytics, or AI organizations
• Strong understanding of AI/GenAI concepts including model types, agentic workflows, and enterprise use cases
• Familiarity with AI governance standards: NIST AI RMF, EU AI Act, ISO/IEC 42001
• Working knowledge of data platforms and AI ecosystems (Snowflake, AWS, Claude, etc.) and how governance is implemented in practice
• Proven consulting delivery skills: problem framing, hypothesis-driven analysis, compelling executive-ready deliverables
• Excellent communication and storytelling skills; ability to translate complex governance concepts for business audiences
• Demonstrated ability to influence without authority and build cross-functional consensus
• Bachelor's degree; ability to travel as required by client commitments

Preferred Qualifications

• Experience standing up AI governance committees, steering committees, or review boards , charters, cadences, and decision-rights
• Hands-on model risk management, responsible AI, or regulated-industry compliance experience (financial services, healthcare, or public sector)
• Prior consulting experience at a data/AI firm or within a central AI/ML office or analytics function
• Public thought leadership contributions on AI governance
• Advanced degree or relevant professional certifications

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We're growing fast, and we give our people real ownership over their work. We hire top performers and trust them to deliver results.

phData is seeking a Forward Deployed Strategist to join our Advisory team. The Forward Deployed Strategist is a business-first consultant who helps clients rapidly identify, shape, and accelerate high-value AI and data opportunities.

Core Responsibilities

• Client Discovery & Opportunity Framing

Quickly understand and internalize client challenges, constraints, stakeholder dynamics, and workflow realities. Identify high-value opportunities by immersing in business operations and uncovering messy, manual, cross-functional workflows that are addressable with AI solutions. Translate ambiguous business problems into crisply framed problem statements, use cases, hypotheses, and MVP scopes that can be validated quickly. Lead workshops, interviews, working sessions, and art-of-the-possible conversations that create alignment, momentum, and a practical path forward. Bring a user-centered design mindset to the solution identification process.

• Business Value, Communication & Executive Storytelling

Define success in terms of business KPIs and quantify measurable business value to justify investment in MVPs and solutions. Maintain a transparent link between use cases, expected outcomes, and the client’s broader technology roadmap. Build strong relationships with business executives, functional leaders, and end users by communicating clearly, listening actively, and facilitating productive decisions. Bridge the gap between business needs and technology by developing balanced technical, organizational, and process recommendations, along with compelling narratives and rigorous business cases for AI and data investments. Act as a translator between business and technical teams, helping stakeholders understand trade-offs, risks, dependencies, timelines, and the path from MVP to a scaled solution.

• Prototype Activation & Scale Readiness

Prototype and iterate solutions using low/no-code and AI-assisted tools to showcase value early. Work hand in hand with phData technologists to bring solutions to life quickly and frame the business value in a way stakeholders can understand. Surface platform, data, workflow, and operating model gaps that must be addressed to scale successful patterns beyond MVP. Help clients rethink how work gets done, not just which tools they use, by driving adoption-minded solution design and strong change communication.

• Client Leadership & Engagement Ownership

Serve as the consulting-forward, business-facing lead for the work, helping manage scope and risk while maintaining strong executive-level stakeholder relationships. Create alignment around priorities, next steps, and decision points so that discovery, prototyping, and scaling efforts stay focused on measurable outcomes. Partner with client and phData teams to move validated ideas toward scalable delivery and broader organizational impact. Work alongside clients, in person as needed, to drive business outcomes.

Required Experience

• 5+ years of experience in consulting with a passion for technology-driven process optimization.
• Exceptional written and verbal communication skills, including executive storytelling, workshop leadership, active listening, and business-case development.
• Demonstrated ability to build trust with business executives, functional leaders, and end users in ambiguous, fast-moving environments.
• Strong consulting presence with the ability to facilitate productive conversations, challenge assumptions constructively, and guide clients toward practical decisions.
• Experience translating ambiguous business problems into structured problem statements, use cases, hypotheses, and MVP scopes.
• Ability to connect solution ideas to measurable business value through KPIs, ROI logic, adoption metrics, cycle-time improvements, risk reduction, and time-to-value framing.
• Experience partnering with technical teams to move from business requirements to prototypes, pilots, and scalable solutions.
• Comfort working hands-on with AI copilots, analytics tools, workflow tools, and low/no-code platforms to accelerate discovery, prototyping, and validation.
• Deep empathy for users and a willingness to immerse in how work really gets done, including exceptions, workarounds, and organizational friction.
• High ownership, sound judgment, and comfort making progress without perfect requirements.
• Bachelor’s degree in business, analytics, engineering, information systems, design, or a related field, or equivalent practical experience.

Preferred Experience

• Master's degree in business administration (MBA).
• Exposure to modern data and AI platforms, self-service analytics, workflow automation, or low/no-code tooling.
• Experience building business cases for new technology investments and influencing executive stakeholders.
• Experience working alongside engineers, solution architects, or delivery teams in client-service environments.
• Familiarity with change management, adoption planning, or operating-model design.

Benefits

• phData celebrates diversity and is committed to creating an inclusive environment for all employees.
• Our approach helps us to build a winning team that represents a variety of backgrounds, perspectives, and abilities.
• We are proud to be an equal opportunity employer.

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We're growing fast, and we give our people real ownership over their work. We hire top performers and trust them to deliver results.

Enterprises are investing in AI and data platforms at a record pace. Few have the product leadership to turn that investment into measurable outcomes. phData is changing that, and we need a Director to lead the way.

Core Responsibilities

Delivery & Engagement Leadership

• Own the design, delivery, quality, scope, and financial performance of AI and data product engagements across a portfolio of client accounts, serving as engagement leader on key programs.
• Translate complex client requirements into scalable product strategies.
• Define and enforce specification quality, backlog standards, and adoption KPIs across all team engagements to drive root-cause fixes.
• Build trusted relationships with executive client sponsors (CDO, CTO, CAO, VP of Product) and shape multi-phase roadmaps from MVC to scale.

Team Leadership & Portfolio Management

• Plan staffing and capacity across the practice; balance utilization, growth, and delivery commitments at scale.
• Own the recruiting pipeline to identify, attract, and hire high-caliber talent that meets and/or exceeds the standard for delivery excellence.

Go-to-Market & Commercial Ownership

• Own GTM strategy, pipeline targets, and revenue outcomes for product management.
• Lead pre-sales engagements, including discovery sessions, executive workshops, SOW scoping, and storytelling that connects product management to measurable business outcomes.
• Accountable for the development of phData's Product Management standards, delivery frameworks, and reusable assets.
• Define AI productivity standards and evaluation models across the team; ensure AI fluency translates to measurable business value.

Required Qualifications

• 10+ years of product management experience, with at least 3 years in a consulting, professional services, or advisory environment.
• Proven track record leading and managing product managers with accountability for team utilization, performance, and client satisfaction.
• Experience owning a portfolio of client accounts with direct responsibility for delivery quality, scope, and financial performance.
• Demonstrated success building and scaling data or AI products from MVP to production.
• Deep understanding of the modern data and AI stack (Snowflake, cloud platforms, BI tools, agentic AI frameworks) and the ability to guide strategic product decisions at that level.
• Proficient in product operating models; backlog management, specification quality, KPI frameworks, Business Acceptance criteria, and Value Realization Plans.
• Experience designing AI-assisted product workflows and embedding AI productivity tools into team delivery; ability to evaluate and enforce AI adoption standards across a portfolio.
• Demonstrated pre-sales track record; SOW development, executive proposals, and closing consulting engagements.
• Strong executive communication and storytelling skills; able to translate product complexity into business impact for CDO, CTO, and board-level audiences.
• Experience proactively identifying delivery risks, escalating effectively, and driving root-cause accountability across multi-engagement portfolios.
• Experience at a top-tier data, AI, or management consulting firm preferred.
• Prior experience working in global or remote teams and partnering across the U.S., LATAM, and/or India.
• Willingness and ability to travel up to 50% (10 of 20 days per month).

Success Measures for this Role

• Revenue & Growth - Product bookings and revenue - Product pipeline growth - Net revenue retention.
• Delivery & Quality - Customer satisfaction, extensions, and expansions - Reduction in delivery escalations.
• Team & Practice - Team utilization, growth, and performance calibration outcomes - Quality and reuse of product standards, delivery frameworks, and reusable assets - Measurable productivity gains from AI-assisted workflows across the team.

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We are looking for a Principal Analytics Consultant who specializes in Sigma to help our customers gain tangible value from their data. In this role, you will lead end-to-end analytics engagements and build scalable Sigma solutions that help clients realize measurable business value.

Key Responsibilities:

• Lead end-to-end analytics workstreams, owning planning, requirements, prototyping, development, testing, deployment, and adoption for Sigma solutions.
• Own the technical approach, backlog, and sequencing of work to deliver high-quality, scalable analytics solutions aligned to each client's business context and data environment.
• Facilitate client working sessions to clarify ambiguous business needs, define analytical requirements, align stakeholders on priorities and risks, and drive decisions.
• Design and develop Sigma workbooks, dashboards, governed datasets, and self-service analytics experiences that enable business users to explore and act on data.
• Apply strong SQL, data modeling, and data visualization practices to connect Sigma solutions to cloud data warehouses, data marts, and analytical data structures.
• Establish quality standards for analytics deliverables, reviewing solutions for technical quality, usability, performance, scalability, and alignment to best practices.
• Recommend governance, security, access, workspace, and operating-model practices that support enterprise-scale Sigma adoption.
• Analyze, troubleshoot, and optimize data models, workbooks, reports, platform configurations, and deployment issues when required.
• Manage client expectations through clear status reporting, proactive communication, feedback loops, and transparent escalation of risks and dependencies.
• Partner with account and practice leaders to identify new use cases, extension opportunities, and reusable accelerators that deepen client value and support growth of the Analytics practice.
• Lead or mentor consultants and contribute to staffing, utilization, delivery planning, workstream budgets, and overall project performance.
• Support backlog development and ongoing enhancement of analytics solutions after initial implementation.

About You: You are a client-focused analytics practitioner who enjoys leading delivery, solving complex data problems, and creating practical, well-designed solutions. You bring strong technical judgment, executive presence, and the ability to move comfortably between business strategy, analytics architecture, hands-on development, and team leadership.

Required Qualifications:

• 7+ years of relevant experience delivering data analytics, business intelligence, or data visualization solutions in an enterprise environment.
• 3+ years of external consulting experience, including ownership of client-facing analytics projects or workstreams from kickoff through completion.
• Demonstrated expertise designing and delivering analytics solutions with Sigma, including workbook development, data exploration, visualization, and self-service analytics experiences.
• Strong SQL skills and experience working with cloud data warehouses, data marts, semantic models, and analytical data structures; Snowflake experience is preferred.
• Strong understanding of data modeling, metric definition, visualization design, performance optimization, and analytics architecture.
• Experience establishing or operating Sigma governance practices, including access management, security, workspace organization, deployment practices, and platform administration.
• Demonstrated ability to translate ambiguous business needs into clear analytical requirements and communicate recommendations, tradeoffs, and risks to technical and business stakeholders.
• Exceptional customer-facing communication, facilitation, project management, and stakeholder-management skills.
• Strong problem-solving skills with a passion for learning and mastering new technologies, techniques, and procedures.

Benefits at phData US:

• Remote-First Work Environment
• 401k plan with company match
• Dental and Vision insurance
• Home Office Equipment Stipend
• Annual stipend for Learning and Development
• Competitive comp, excellent benefits, 4 weeks PTO plan plus 10 Holidays

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phData is seeking an AI & Data Strategy Leader to join their Advisory team. You will work with senior executives to shape AI and data strategy, lead cross-functional teams to deliver on it, and turn capabilities into measurable business outcomes.

Core Responsibilities

Client Delivery & Execution

• Lead AI & data strategy engagements end-to-end: problem definition, readiness assessment, use case prioritization, and design of roadmaps and operating models tied to revenue, customer experience, and innovation objectives.
• Own engagement delivery; manage scope and risk, maintain executive-level stakeholder relationships, and facilitate high-impact discovery, prioritization, and "art of the possible" workshops.
• Bridge the gap between business needs and technology: develop balanced technical, organizational, and process recommendations and build compelling narratives and rigorous business cases for AI/data investments.
• Architect future-state AI & data operating models and technology stacks with a focus on safety, scalability, TCO, and regulatory compliance.
• Provide delivery oversight for AI/data platforms; ensure execution aligns with agreed strategy; own quality of all engagement outputs and coach project team members on consulting fundamentals and business impact.

Client Leadership & Account Growth

• Serve as a trusted advisor to day-to-day client sponsors and senior stakeholders, owning relationships, aligning on delivery roadmaps, and surfacing expansion opportunities.
• Partner with executive sponsors, data and analytics leaders, product and delivery teams, and business end users to ensure seamless execution and measurable outcomes.
• Build cross-practice relationships to design and deliver end-to-end solutions that drive customer success.

Thought Leadership & Practice Development

• Contribute to phData's AI & Data Strategy offerings: methods, frameworks, accelerators, and client-ready collateral.
• Support sales pursuits, client presentations, and thought leadership focused on AI and data strategy.
• Mentor consultants and senior consultants on strategic thinking, executive presence, and delivery quality.

Required Qualifications

• 6+ years as a hands-on AI or data strategy leader, owning strategy engagements and roadmaps.
• 2+ years of consulting leadership with external clients, managing multiple workstreams and teams.
• Proven ability to engage senior stakeholders and deliver a clear, compelling story behind recommendations.
• Experience identifying and prioritizing AI/data opportunities, designing roadmaps and operating models, and building business cases tied to revenue, cost, risk, and customer experience.
• Strong technical literacy across modern cloud and data platforms, data governance, AI governance, and ML pipelines, and how these connect to business outcomes.
• Experience leading workshops, driving change and adoption, and coaching/mentoring consultants and technical leaders.
• Track record collaborating with client stakeholders, partners, and cross-functional teams with high ownership and accountability.
• Extensive experience leading multi-engagement or multi-year AI/data strategy portfolios.

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We're growing fast, and we give our people real ownership over their work. We hire top performers and trust them to deliver results.

As a Principal Analytics Consultant specializing in Power BI, you will lead complex analytics engagements and help customers realize measurable value from their data. You will combine deep Power BI expertise with strong consulting judgment, executive presence, and delivery leadership.

Key Responsibilities:

• Lead end-to-end Power BI engagements and workstreams, including planning, discovery, requirements, prototyping, development, testing, deployment, enablement, and adoption.
• Establish the overall technical approach, solution architecture, backlog, delivery sequence, and quality standards for scalable Power BI solutions.
• Design and develop Power BI semantic models, reports, dashboards, data products, and self-service analytics experiences that are intuitive, performant, governed, and aligned to business outcomes.
• Apply strong practices in dimensional modeling, DAX, Power Query, SQL, data visualization, metric definition, and performance optimization.
• Connect Power BI solutions to enterprise data warehouses, data marts, lakehouses, semantic models, and other analytical data structures.
• Lead client discovery and working sessions that clarify ambiguous needs, define analytical requirements, align stakeholders, surface tradeoffs, and drive decisions.
• Advise clients on Power BI governance and operating models, including workspace strategy, security, access management, deployment practices, platform administration, adoption, and performance.
• Review and improve existing reports, semantic models, platform configurations, and deployment practices to identify opportunities for optimization, standardization, and scale.
• Manage client expectations through clear communication, status reporting, feedback loops, risk management, transparent escalation, and alignment on decisions and dependencies.
• Provide technical leadership and mentorship to consultants and delivery teams; establish a high bar for quality, usability, maintainability, and client value.
• Contribute to staffing plans, utilization planning, delivery planning, workstream budgets, estimates, and overall project performance.
• Partner with account and practice leaders on discovery, proposals, solution shaping, estimates, and expansion opportunities that deepen client value and support Analytics practice growth.
• Develop reusable Power BI accelerators, frameworks, templates, enablement materials, and points of view that improve delivery consistency and market impact.
• Support backlog development and ongoing enhancement of analytics solutions after initial implementation.

Required Qualifications:

• 7+ years of relevant experience delivering data analytics, business intelligence, or data visualization solutions in an enterprise environment.
• 3+ years of external consulting experience, including ownership of client-facing analytics projects or workstreams from kickoff through completion.
• Experience leading complex delivery teams or workstreams and mentoring consultants or technical practitioners.
• Experience contributing to delivery planning, estimates, staffing, utilization, budgets, proposals, or practice development.

Technical and Functional Skills:

• Demonstrated expertise designing and delivering enterprise Power BI solutions, including semantic modeling, report and dashboard development, DAX, Power Query, data visualization, and performance optimization.
• Strong SQL skills and experience working with cloud data warehouses, data marts, lakehouses, semantic models, and analytical data structures.
• Experience with Power BI Service administration and enterprise enablement, including workspace strategy, security roles, access management, deployment practices, platform configuration, governance, and adoption.
• Strong understanding of analytics architecture, data modeling, metric definition, visualization design, usability, scalability, and maintainability.
• Demonstrated ability to translate ambiguous business needs into clear analytical requirements and communicate recommendations, tradeoffs, risks, and dependencies to technical and executive stakeholders.
• Exceptional customer-facing communication, facilitation, project leadership, and stakeholder-management skills.
• Strong problem-solving skills with a passion for learning and applying new technologies, techniques, and procedures.

Benefits at phData US:

• Remote-first work environment
• 401(k) plan with company match
• Dental and vision insurance
• Home office equipment stipend
• Annual learning and development stipend
• Competitive compensation, excellent benefits, four weeks of paid time off, 10 holidays, and other perks

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We're growing fast, and we give our people real ownership over their work. We hire top performers and trust them to deliver results.

You will own a portfolio of strategic, industry-focused accounts, driving growth, profitability, and executive relationships while helping clients formulate and realize their AI & Data goals. You will collaborate closely with client executives, Sales, Technical Account Leads, Delivery leaders, and ecosystem partners to deliver high-impact programs and advance phData’s delivery excellence.

Key Responsibilities

Client Delivery

• Own and drive account strategy, delivery, and growth for a portfolio of strategic, industry-focused accounts, creating and executing long-term growth plans aligned to client goals and phData’s capabilities.
• Translate client business objectives and AI & Data goals into strategic programs spanning data platforms, pipelines, governance, analytics, and AI, in partnership with data engineering, analytics, and ML teams.
• Ensure engagements across your portfolio are delivered on time, within scope, and with strong profitability and measurable business value, maintaining ~40% utilization to stay close to delivery and client outcomes.

Collaboration & Leadership

• Collaborate with cross-functional partners across Go-to-Market, Delivery, Finance, Product, and Partner teams to align on account health, project success, and future opportunity.
• Provide strategic leadership during executive meetings, workshops, QBRs, and roadmap discussions, positioning phData as a trusted advisor to both business and IT stakeholders.
• Ensure high-quality deliverables by staying engaged with delivery teams, reviewing performance metrics, and driving governance, risk management, and issue resolution across accounts.
• Partner with ecosystem providers (e.g., Anthropic, Snowflake, AWS) to design and execute joint account strategies that bring added value to clients and accelerate portfolio growth.

Practice & Firm Contribution

• Contribute to internal initiatives such as industry playbooks, account planning frameworks, sales enablement materials, and patterns for driving AI & Data outcomes in your verticals.
• Represent phData professionally at industry events, conferences, and panels, helping elevate our presence and reputation in Restaurant/Hospitality, Technology, and other priority sectors.
• Share best practices, deal learnings, and client insights to help improve phData’s client engagement model, forecasting, and overall delivery excellence.

Additional Responsibilities

• Act as a trusted advisor to senior client stakeholders, shaping roadmaps, influencing strategic decisions, and guiding long-term initiatives.
• Mentor and coach team members, fostering a culture of learning, feedback, and continuous improvement.
• Help define and refine practice standards, reusable assets, and delivery frameworks.

About You

You are a client-focused, strategic account leader and trusted advisor who enjoys working in a fast-paced, outcomes-driven environment. You are a value-driven communicator, relationship builder, and strategic thinker who is comfortable operating in distributed, global teams and partnering with colleagues across time zones to drive complex, high-impact work.

Required Qualifications

• 10+ years of experience in consulting or similar data-driven verticals, including ownership of strategic account portfolios and revenue targets in the $10–20M+ range.
• Hands-on experience collaborating with data engineering, analytics, and ML teams to design, sell, and oversee implementation of modern data solutions (data platforms, pipelines, governance, analytics, and AI).
• Proven ability to own revenue and profitability across a portfolio of strategic accounts, delivering growth through both net-new and expansion work.
• Experience delivering projects for external or internal clients in a professional services or consulting environment.
• Ability to break down complex problems into structured, actionable steps and drive them through to completion.
• Strong written and verbal communication skills in English, including experience leading executive-level conversations and influencing cross-functional stakeholders.
• Demonstrated ability to work effectively within matrixed, distributed, and cross-functional teams across Sales, Delivery, Product, and Partners.
• Proven track record of building and sustaining CxO and senior executive relationships, influencing strategic roadmaps across both IT and business stakeholders.
• Willingness and ability to travel up to 50%, depending on client needs and business priorities, while taking full ownership of account outcomes.

Preferred Qualifications

• Experience in the Restaurant/Hospitality and/or Financial Services sectors, with meaningful exposure to data, analytics, or AI-driven transformation.
• Hands-on experience with cloud data platforms and ecosystems (e.g., Snowflake, AWS, Databricks, Anthropic) and familiarity with modern data architectures and use cases.
• Prior experience working in global or remote teams and partnering across US and other regions.
• Contributions to communities, speaking, writing, or internal accelerators (e.g., industry events, thought leadership, or sales/solutions playbooks) are a plus.

Benefits at phData US

• Remote-First Work Environment
• 401k plan with company match
• Dental and Vision insurance
• Home Office Equipment Stipend
• Annual stipend for Learning and Development
• Competitive comp, excellent benefits, Flexible PTO plus 10 Holidays

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The Business Systems Architect is responsible for designing, implementing, and evolving enterprise platform architecture solutions that support scalable, secure, and efficient business operations.

Primary Responsibilities and Duties:

• Convert ambiguous stakeholder needs into prioritized projects with measurable success criteria.
• Own requirements intake, discovery, process mapping, impact analysis, and scoping for cross-functional business systems initiatives.
• Finalize solution designs and coordinate end-to-end technical implementation, including test planning, end-user UAT, defect resolution, deployment, post-deployment validation, and historical data reconciliation.
• Own ongoing data quality, including establishing monitoring, cleansing, validation, migration/backloading, and reconciliation as gaps are identified or data models evolve.
• Design and maintain enterprise architecture solutions for IT-owned systems and platforms
• Lead architecture efforts for moderately complex cross-functional initiatives
• Translate business and operational requirements into scalable technical solutions
• Define integration approaches across various SaaS and cloud platforms
• Support AI and automation initiatives through architecture guidance and implementation support
• Evaluate emerging technologies and provide recommendations aligned to business needs
• Ensure architecture solutions align with security, compliance, and governance standards
• Collaborate with IT and business teams on solution delivery
• Identify opportunities to optimize system performance, scalability, resiliency, and cost
• Provide technical mentorship and guidance to team members and project teams
• Contribute to architectural standards, documentation, and best practices
• Support vendor evaluations and technology selection activities
• Governance and administration of enterprise platforms, including role-based access controls, license management, and cost optimization

About You:

• You’re a collaborative and solutions-focused technologist with a strong foundation in enterprise architecture and modern platforms.
• You enjoy solving complex problems, working across teams, and building scalable, secure solutions that drive real impact.
• You take extreme ownership of outcomes, are comfortable leading through ambiguity, and can move between executive-level business conversations and detailed technical decisions.
• You build trust by making complexity understandable, surfacing risks early, and following problems through from discovery to measurable results.
• You care deeply about the quality and usefulness of the systems you build.
• You are willing to challenge assumptions and adapt quickly as requirements change.

What You Bring:

• Experience with enterprise systems, cloud/hybrid environments, and integration design (API, SaaS)
• Experience with enterprise systems such as Salesforce, Certinia, Rippling, and Greenhouse
• Strong problem-solving skills and the ability to troubleshoot complex technical issues
• Ability to communicate clearly with both technical and non-technical stakeholders
• A thoughtful approach to security, governance, and performance optimization
• A balance of hands-on execution and long-term architectural thinking

Core Experience:

• 8+ years in systems, application, or enterprise architecture (or similar roles)
• Experience designing and delivering enterprise technology solutions
• Solid understanding of infrastructure, system design, and security principles
• Proven ability to partner with cross-functional teams and evaluate technical solutions
• Familiarity with architecture frameworks or security/compliance standards
• Exposure to vendor selection or mentoring team members

Preferred Additional Experience:

• Experience with AI, automation, or modernization initiatives

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We're looking for an AI Services lead to join our Client Services team. This role will lead our commercial strategy, methodology, and client success for the Anthropic private equity channel.

Key Responsibilities

• Own the private equity vertical within the Anthropic partnership, building and managing relationships at the fund level and driving AI activation and client success across portfolio companies.
• Partner with funds and portcos to develop and apply AI value creation frameworks tailored to PE investment theses, connecting Claude-powered solutions to EBITDA improvement, operational efficiency, and exit readiness.
• Lead the origination and shaping of engagements across the PE portfolio lifecycle: due diligence, post-close integration, value creation, and exit preparation.
• Act as the primary executive sponsor for PE-focused accounts present in partner-level conversations, credible in CFO and operating partner discussions, and accountable for the outcome.
• Build and maintain account plans that extend across fund relationships, not just individual portfolio companies, turning a single PE firm into a multi-portfolio, multi-year program.
• Partner with Anthropic's financial services and enterprise field teams to coordinate go-to-market motions, co-develop proposals, and align on account strategy.
• Shape how phData engages the PE market by building playbooks, value frameworks, and repeatable patterns that form the foundation for a scalable vertical.
• Mentor delivery leaders and account teams embedded in PE engagements, ensuring the quality of client relationships and AI outcomes meets the bar this industry demands.

About You

You are financially fluent, commercially aggressive, and deeply familiar with how private equity firms evaluate and create value. You understand that in PE, everything is measured, and you hold your AI programs to the same standard.

The traits below aren't aspirational; they describe who you already are:

• Extreme Ownership: You consider "business as usual" in your account plan a failure. Stagnant accounts are a personal problem you refuse to tolerate. You push action, create momentum, and treat every week without a clear next use case as a gap you need to close.
• Order Maker, Not Order Taker: PE firms don't hire advisors who respond to RFPs. They hire people who come in with a point of view on where value is being left on the table and a concrete plan to capture it. You are that person. You walk into every GP meeting with a proposed next chapter, not a recap of the last one.
• Financially Grounded: You speak the language of private equity fluently, EBITDA, hold period, operating leverage, portfolio roll-up, and exit multiple. You don't need someone to translate business outcomes into financial impact. You do that yourself, and you build it into every proposal you write.
• Attention to Detail: You believe sloppy account management is a trust destroyer, and trust is harder to rebuild in PE than in any other industry. The account plan is accurate. The value creation tracker is live. The engagement status reflects reality. You don't let things drift.

Required Qualifications

• 10–15+ years of experience in a hybrid client advisory and commercial role within consulting, professional services, or financial services with direct accountability for engagement quality and revenue growth.
• Demonstrated experience working with or within private equity firms, portfolio companies, or financial services organizations with a clear understanding of how PE firms make investment and operating decisions.
• Track record scoping and delivering $500K–$5M+ services programs with measurable financial outcomes (EBITDA improvement, cost reduction, revenue acceleration, or operational efficiency).
• History of building multi-account, multi-engagement programs, not just managing individual projects with responsibility for the growth of the overall portfolio.
• Proven ability to operate at the GP, CFO, and operating partner level as a credible, trusted advisor, not just a delivery contact.
• Experience building AI or data value creation frameworks that connect technology investment to quantifiable business and financial outcomes.
• Comfort operating with limited structure in a high-growth, matrixed environment where the playbook is still being written.
• Willingness to travel up to 50% based on client and partner needs.

Technical / Functional Skills

• Sufficient AI/data fluency to shape engagements involving agentic AI, LLM-powered workflows, and data infrastructure, including RAG, agent orchestration, MCP-style integrations, and AI evals without requiring a technical co-lead to define the solution.
• Direct experience with Anthropic (Claude for Work, API, or Enterprise) or a comparable LLM platform, with the ability to articulate where Claude creates differentiated value for financial services use cases.
• Financial modeling and business case development capability able to build or validate an ROI model, connect AI outcomes to EBITDA impact, and present it credibly to a PE investment committee or operating partner.

Preferred Qualifications

• CPA, CFA, or MBA with a finance or accounting concentration, or equivalent, demonstrating financial fluency in a client-facing role.
• Direct experience building or operating within a PE-focused practice at a consulting or technology services firm.
• Prior success designing and executing AI value creation programs specifically within PE-backed portfolio companies with documented financial impact.
• Existing relationships within the private equity ecosystem (GPs, operating partners, portfolio CFOs) that are relevant to the Anthropic partnership.
• Experience in structuring fund-level AI strategies that span multiple portfolio companies under a single investment thesis.

Benefits

• Remote-First Work Environment
• 401k plan with company match
• Dental and Vision insurance
• Home Office Equipment Stipend
• Annual stipend for Learning and Development
• Competitive comp, excellent benefits, Flexible PTO plan plus 10 Holidays

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We're looking for an AI Services Lead to join our Client Services team, focusing on our partnership with Anthropic. You'll help land the Anthropic account and own everything that comes after. You're in the room from the beginning, shaping the deal, setting the vision, and building the roadmap that turns an initial commitment into a multi-year AI transformation.

Key Responsibilities

• Lead activation for newly landed Anthropic-focused accounts, rapidly moving them from initial interest into well-scoped, active engagements that align with client AI/data maturity.
• Own end-to-end delivery oversight for your accounts, staying close enough to identify technical and delivery risk early.
• Build and maintain documented account plans and use-case backlogs that turn initial pilots or workshops into multi-phase, multi-workstream AI transformation programs.
• Become a trusted advisor to senior client stakeholders (IT and line-of-business), shaping AI and data roadmaps that leverage Anthropic and related capabilities to drive measurable business outcomes.
• Partner with Anthropic’s field team and internal Sales, Marketing, and Delivery leadership to identify, shape, and close expansion opportunities across your portfolio of accounts.
• Provide strategic leadership during executive meetings, QBRs, and roadmap discussions, positioning phData as a trusted advisor to both business and technology stakeholders.
• Mentor team members and foster a culture of learning, feedback, and continuous improvement.
• Contribute to internal playbooks, account planning frameworks, and repeatable patterns for driving AI & Data outcomes.
• Share best practices and client insights to improve phData's engagement model and delivery excellence.

About You You are a commercially minded, technically fluent client leader. You thrive in ambiguity, move fast, and don't wait for permission to drive outcomes. The traits below aren't aspirational; they describe who you already are:

• Extreme Ownership: You consider "business as usual" in your account plan a failure. Stagnant accounts are a personal problem you refuse to tolerate.
• Order Maker, Not Order Taker: Your clients don't tell you what to build next. You tell them.
• Attention to Detail: You believe that great work doesn't happen without the details being right.
• Systems Thinker: You don't accept a recurring problem as bad luck.

Required Qualifications

• 6–10+ years of experience in a hybrid delivery/sales role within consulting or professional services, with responsibility for scoping service engagements and accountability for project success.
• Demonstrated experience owning both delivery quality and account growth on the same engagement.
• Track record in scoping and delivering $50K–$1M services engagements.
• History building account plans and roadmaps that carry a single pilot into a broader rollout.
• Comfort stepping into an account shortly after it is landed and immediately owning activation and expansion.
• Strong relationship-building skills with senior client stakeholders (IT and line-of-business) and a track record of becoming a trusted advisor to leaders.
• Ability to structure complex problems and drive them to resolution in a matrixed environment.
• Willingness to travel up to 50% based on client needs.

Technical / Functional Skills

• Real, hands-on AI/data competency sufficient to identify use cases, and delivery risk for agentic AI/LLM and data solutions.
• Direct experience with Anthropic (Code, Cowork, or Enterprise) or a comparable LLM/agentic AI platform.

Benefits at phData US

• Remote-First Work Environment
• 401k plan with company match
• Dental and Vision insurance
• Home Office Equipment Stipend
• Annual stipend for Learning and Development
• Competitive comp, excellent benefits, Flexible PTO plan plus 10 Holidays

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Our AI & Data Strategy Architects help clients use data and AI to drive business transformation and competitive advantage. You'll align strategy and architecture, design implementation roadmaps, and guide organizations through adopting modern data platforms, machine learning solutions, and responsible AI practices.

Core Responsibilities:

• Advise clients on AI & data strategy,linking business goals to concrete data/AI capabilities, use cases, and value.
• Design implementation roadmaps and future-state operating models (roles, processes, governance, and platform direction).
• Make architecture and technology recommendations (cloud, data platforms, integration, data quality, governance, privacy, security, regulatory) clearly tied to business outcomes.
• Facilitate discovery and “art of the possible” sessions with business and technical stakeholders, including senior executives.
• Communicate complex technical and strategic concepts in clear, executive-ready language and partner with cross-functional teams to embed strategy into delivery.
• Own key workstreams within AI & data strategy engagements (e.g., use case discovery, roadmap design, operating model, governance approach).
• Perform analysis and synthesis (interviews, research, frameworks) and turn insights into clear recommendations and client-ready deliverables.
• Support workshop design and facilitation and mentor junior team members on consulting basics and communication.

At the Lead level, you also:

• Lead full AI & data strategy engagements or major programs, often acting as the day-to-day Engagement Lead for focused strategy projects.
• Own stakeholder alignment,including C‑suite,and translate goals into scoped plans, workstreams, milestones, and resourcing.
• Guide technology rationalization and operating model decisions, weighing TCO, risk, and regulatory needs, and ensuring alignment across business and technical leaders.
• Lead and coach multi-disciplinary teams (business analysts, architects, data engineers, change leaders) and help shape offerings and pursuits for new opportunities.

Qualifications:

• Experience as a hands-on AI & data strategy or architecture leader (strategy engagements, roadmaps, or major workstreams).
• Consulting experience with external clients, managing multiple priorities and stakeholders.
• Proven experience with ownership of complex workstreams.
• Strong understanding of modern cloud/data architectures and AI capabilities, and how to apply them to increase revenue, improve customer experience, or enable new products.
• Experience engaging senior stakeholders (up to C‑suite) and using strategy frameworks (e.g., opportunity prioritization, SWOT, multi‑year roadmaps, business cases/ROI).
• Ability to make technical recommendations tied to business outcomes across cloud, data platforms, integration, data quality, data governance, privacy/security, and regulatory needs (e.g., GDPR, CCPA).
• Proven facilitation and communication skills,workshops, “art of the possible” sessions, and executive-ready presentations.
• Track record of collaboration and ownership across client stakeholders, partners, and global cross-functional teams.
• Clear point of view on where data and AI are heading and how organizations can capture that value.
• Willingness to travel as required by clients.

Additional expectations at the Lead level:

• 2+ years of consulting leadership experience, repeatedly leading full AI & data strategy engagements or multi-workstream programs.
• Proven ability to coach and mentor others, communicate concepts in clear business language, and drive change and adoption.

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Responsibilities:

• Manage the full accounts receivable cycle, including invoice review, collections, cash application, and account reconciliations.
• Resolve billing discrepancies and customer inquiries in a timely manner.
• Monitor customer accounts, follow up on outstanding balances, and collaborate with the Treasury Manager on collections.
• Review APAC entities' payroll reports and transactions booking in NetSuite.
• Assist in month-end closing procedures and other accounting tasks as assigned.
• Prepare and post journal entries as needed.
• Prepare account reconciliations and supporting schedules.
• Analyze financial results and explain variances.
• Support the annual financial audit and other ad hoc projects.

Requirements:

• 2+ years of accounting experience in a fast-paced environment.
• Strong experience with Accounts Receivable, bookkeeping, General Ledger accounting, and month-end close processes.
• Bachelor's degree in Accounting or a related field.
• Excellent written and verbal communication skills.
• Strong attention to detail and accuracy in data entry and record-keeping.
• Experience with NetSuite accounting software and Salesforce CRM is strongly preferred.
• Intermediate Excel skills.
• Knowledge of GAAP required.

What We Offer:

• Competitive salary ranging from $72,000 to $80,000 per year.
• Comprehensive benefit offerings, including flexible work hours, a hybrid work environment, unlimited vacation, a generous 401K match, parental leave, team events, a wellness budget, learning reimbursement, and a monthly WFH budget for remote workers.
• Opportunities for career growth and internal mobility.
• Health plans with no monthly out-of-pocket premium, dental, vision, 401k match, and commuter benefits.

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About The Role: In this role, you’ll have a unique opportunity to help scale the Outsourced Finance partner motion. You will act as the central point of contact for our finance partner ecosystem and play a key role in driving both partner engagement and sales outcomes. Your goal is to build and manage relationships that drive consistent partner-sourced opportunities, resulting in new SpendHound customers.

As Finance Partnerships Manager, You Will:

• Serve as the primary relationship manager for an initial portfolio of ~5 outsourced finance partner companies that we expect to grow to 10-20 over the coming months
• Build strong communication channels with partners, ensuring alignment on priorities, objectives, and performance expectations.
• Help grow the channel through targeted business development via referrals and cold outreach
• Own customer targets tied to partner-sourced opportunities, including forecasting, pipeline tracking, and achievement of monthly/annual goals.
• Help define the playbook to scale this motion across many possible partners.
• Develop and manage joint go-to-market strategies with partners to drive mutual value and accelerate customer acquisition, including scalable processes and playbooks for partner enablement, co-marketing, and referral workflows.
• Collaborate closely with internal teams (Sales, Marketing, Customer Success) to enable partners with the tools, training, and information needed to succeed.
• Monitor partner performance, report key metrics, and implement initiatives that improve outcomes for both partners and the company.
• Act as an advocate for partners internally, ensuring feedback loops for continuous improvement.

You Are Likely To Succeed If:

• Enjoy scaling new programs from the ground up and are comfortable experimenting and navigating ambiguity
• Are a strong communicator with the executive presence to engage senior leaders and represent SpendHound externally
• Results-oriented with proven success in meeting sales targets through indirect channels.
• Thrive in fast-paced, cross-functional environments and know how to keep momentum moving across teams
• Are proactive, self-directed, and take ownership without waiting for permission
• Have 3-5 years of experience in partner/channel sales, alliances, or business development roles in a tech or services business.

What We Offer: Our compensation package includes comprehensive benefits, perks, and a competitive salary:

• Flexible work hours, flexible vacation, a generous 401K match, parental leave, team events, wellness budget, learning reimbursement, and more!
• The on-target-earning for this position is anticipated to be $150,000 USD ($100,000 Base + $50,000 Uncapped Bonus).

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Responsibilities:

• Run discovery to understand priorities and how these enterprises engage with alternative data today
• Develop and offer insights tailored to specific teams/use cases
• Partner with Revenue on pitches, trials, & renewals, owning the solution side of each conversation
• Ensure data deliverables are coordinated with internal counterparts across engineering, data, and product

Requirements:

• 5+ years of experience working with consumer brands or technology firms in a client-facing analytical role
• A talent for data-driven storytelling
• Experience working with large Fortune 500 companies in the consumer or tech landscape
• Strong written and verbal communication, including presenting to executive audiences

What We Offer:

• Competitive salary ($170,000 - $200,000)
• Variable compensation with on-target earnings of up to $250,000
• Comprehensive benefits, perks, and equity
• Flexible work hours, flexible vacation, generous 401K match, parental leave, team events, wellness budget, learning reimbursement, and more

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We are hiring a Solutions Lead to own our relationships with leading cloud and data infrastructure companies. You will lead discovery with these accounts, connect their needs to our datasets and solutions, and act as a thought leader on the cloud and AI infrastructure market.

As a Solutions Lead, you'll gain experience in:

• Discovery & Thought Leadership: Responsible for running discovery to understand priorities and how these enterprises engage with alternative data today.
• Customer Engagement & Impact: Partner with Revenue on pitches, trials, & renewals, owning the solution side of each conversation.
• Cross Functional Delivery: Ensure data deliverables are coordinated with internal counterparts across engineering, data, and product.

You Are Likely To Succeed If You Have:

• 5+ years of experience in a client facing analytical role (solutions consulting, equity research, sales engineering, business strategy)
• A talent for data-driven storytelling
• Experience working with enterprise technology, cloud, software, or data infrastructure companies
• Ability to work collaboratively in an innovative, entrepreneurial, and dynamic environment
• Strong written and verbal communication, including presenting to executive audiences

What We Offer:

• Comprehensive benefits, perks, and a competitive salary
• Flexible work hours, flexible vacation, a generous 401K match, parental leave, team events, wellness budget, learning reimbursement, and more
• The annual base salary range for this position is anticipated to be $170,000 - $200,000
• On-target earnings (OTE) of up to $250,000

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YipitData's Corporate team collaborates with organizations to help them make sense of external data. We're expanding our GTM Data Validation team within the Corporate practice by welcoming a Data Validation Analyst (Junior Sales Engineer) to support our new logo sales team through technical expertise and solutioning.

As a Solutions Engineering Analyst, you will:

• Support Sales and Account Executive teams through technical expertise, product mastery, and in-depth data analysis work to help prospective partners gain trust in our data, methodologies, and product outputs.
• Work to understand customer goals and needs and scope appropriate solutions for them, balancing customer demand, budgets, and available data assets and coverage.
• Troubleshoot data quality issues to overcome skepticism and guide improvements to data coverage and methodology.
• Work cross-functionally to help guide the onboarding journey and early customer success in collaboration with our data, insights, client strategy, and account executive teams.
• Enable commercial partners through continuous refinement of available GTM assets and processes to accelerate deal cycles and power our growing business.

You are likely to succeed if:

• You have 1-4 years of experience in Sales Engineering, Client-Facing Data Analysis, Customer Success in a Technical Environment, or Sales/Account Management.
• You are committed to long-term account health, eager to understand customers and their needs, and craft solutions that power years-long partnerships.
• You are eager to be in a highly customer-facing role.

What We Offer:

• Comprehensive benefits, perks, and a competitive salary.
• Flexible work hours, flexible vacation, a generous 401K match, parental leave, team events, wellness budget, learning reimbursement, and more!
• The annual base salary range for this position is anticipated to be $125K.

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As a Research Analyst, your key responsibilities will include:

• Creating and communicating valuable insights from our datasets
• Collaborating with our data team to help build new research products and features
• Becoming a trusted resource for our subscribers, the largest investors in the world
• Working with our Sales, Client Strategy, and Marketing teams to position our products on client calls, webcasts, and in press references

You are likely to succeed if you have:

• 3+ years of experience in equity research or management consulting-styled writing
• A background in equity research or business analysis and a passion for data-driven fundamental investing
• A commitment to learning new technology skills
• A Bachelor's degree or foreign equivalent in Finance, Economics, Statistics, or a related field

We offer a competitive salary of $150,000 + bonus (targeted at 15% of salary) and equity, as well as comprehensive benefits, perks, and a flexible work environment.

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You will be responsible for production-grade systems that our customers and internal teams depend on daily. You will need to be responsive, reliable, and an excellent communicator. The ideal candidate treats AI coding tools as core infrastructure for how they work.

You have shipped full-stack applications, you are comfortable navigating ambiguity, and you have a bias toward action that compounds across a small team.

This is a remote-friendly opportunity that can sit in NYC, one of our office hubs, or anywhere else in the US.

The annual on-target earnings for this position is anticipated to be up to $170K - $190K.

What We Offer:

• Flexible work hours, flexible vacation, a generous 401K match, parental leave, team events, wellness budget, learning reimbursement, and more
• Your growth at YipitData is determined by the impact you make, not by tenure, unnecessary facetime, or office politics

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As a Senior Product Marketing Manager, you will define positioning, lead product launches, and enable commercial teams to bring the next generation of investor workflows to market.

Key responsibilities include:

• Owning product positioning and go-to-market strategy for AI and big data products
• Defining ideal customer profiles and tailoring messaging to different investor segments
• Partnering with Product, Revenue, and Insights teams to influence roadmap decisions
• Leading competitive intelligence across traditional data providers and emerging AI platforms
• Collaborating on pricing and packaging across a multi-product platform
• Developing and scaling high-impact sales enablement and marketing assets
• Establishing and tracking success metrics for GTM efforts

Qualifications and skills required:

• 5+ years of experience in product marketing or a related role
• Strong ability to translate complex technical capabilities into compelling narratives
• Interest in or experience with AI and data products
• Comfort operating in fast-moving, ambiguous environments
• Experience working closely with product teams and influencing decisions early
• Strong written and verbal communication skills

Bonus points if you:

• Have experience working with hedge funds, asset managers, or financial data products
• Have a background in finance, investing, or data-driven research
• Have built or scaled product marketing in a B2B or data-driven environment
• Are familiar with frameworks like positioning, ICP development, or Jobs-to-Be-Done
• Have an MBA or MS in Marketing

The compensation package includes a competitive salary, equity, and comprehensive benefits, with an annual base salary ranging from $160,000 to $185,000, plus a 10% performance bonus.

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You’ll be responsible for accurate and timely payroll for 500+ employees, multi-state payroll compliance, benefits invoice reconciliation, and the payroll and reconciliation processes associated with our self-insured health plans.

This is a highly hands-on role that will partner closely with Finance, People Ops, ADP, and our benefits partners. You’ll serve as an internal payroll subject matter expert while helping us strengthen controls, improve processes, and scale our payroll and benefits operations as the company grows.

As Our Senior Payroll & Benefits Administrator You Will:

• Own end-to-end US payroll processing for 500+ US employees, ensuring accurate, timely, and compliant payroll.
• Partner with Finance and People Ops to manage payroll inputs and changes, including new hires, terminations, compensation changes, bonuses, deductions, and leaves, proactively identifying and resolving discrepancies.
• Serve as the primary point of contact and internal subject matter expert for payroll, resolving employee questions and partnering with ADP and internal stakeholders on payroll, tax, and deduction issues.
• Manage multi-state payroll and tax requirements for a distributed workforce, including appropriate handling of New York's Convenience of the Employer rule and related withholding requirements.
• Own payroll and invoicing-related benefits administration, including employee deduction changes, QLEs, and ongoing coordination with the People Ops benefits team.
• Review and reconcile benefits invoices and self-funded plan activity, validating employee eligibility, enrollment, payroll deductions, and plan fees, and partner with Accounting to resolve discrepancies and complete financial reconciliations.
• Own payroll and benefits reconciliations and support month-end, year-end, W-2 preparation, open enrollment, benefits renewals, audits, and other recurring processes.
• Maintain strong documentation and controls while identifying opportunities to automate, simplify, and scale payroll and benefits processes.

What We Offer:

• Competitive salary: $105,000-115,000 per year
• Comprehensive benefits, perks, and a generous 401K match
• Flexible work hours, flexible vacation, parental leave, team events, wellness budget, learning reimbursement, and more!
• Opportunity for growth and professional development in a dynamic and fast-paced environment

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As a Senior Data Product Analyst, you will play a pivotal role in making that vision a reality. You will own the path from raw alternative data to trusted, product-ready intelligence,determining how complex datasets are structured, interpreted, and ultimately surfaced to customers.

Responsibilities

Data Source Ownership & Methodology Design

• Own the translation of raw alternative datasets into scalable, AI-ready data products.
• Design methodologies that answer high-value business questions, determining how disparate datasets should be combined, normalized, and interpreted.
• Partner closely with Data Engineering to shape source data pipelines into clean, well-structured datasets with clear definitions and documentation.
• Develop deep expertise in the strengths, limitations, biases, and coverage characteristics of key datasets and ensure those nuances are reflected in downstream outputs.

AI Product Intelligence & Knowledge Systems

• Define how the product should use different datasets, including valid query patterns, edge cases, failure modes, and methodological guardrails.
• Own metric definitions, data lineage, and documentation to ensure the product consistently delivers accurate and explainable answers.
• Establish standards for how the product reasons across multiple datasets, preventing over-interpretation and ensuring conclusions remain statistically defensible.
• Serve as the final reviewer for methodology-related changes that impact product behavior.

Product Development & Customer Problem Solving

• Translate customer questions into scalable methodologies, data models, and product capabilities.
• Expand the range of questions the product can answer by enabling new forms of segmentation, cohort analysis, behavioral measurement, and cross-dataset insights.
• Partner with Product, Engineering, and Leadership to identify new data sources, use cases, and capabilities that increase the commercial value of the AI product.
• Help shape the product roadmap by turning emerging customer needs and experimental insights into repeatable product functionality.

Data Quality & Operational Excellence

• Coordinate testing and validation of staged data changes before they reach production.
• Own incident management processes for data quality issues, methodology changes, and upstream source disruptions.
• Build and maintain a library of quality checks tailored to the unique requirements of AI-powered customer experiences.
• Ensure the product consistently surfaces reliable, accurate, and internally consistent information across all supported use cases.

Requirements

• 3–6 years of experience in data product management, product analytics, analytics engineering, data science, market intelligence, alternative data, or a closely related field.
• Strong fluency in SQL; comfort with data pipelines, schema changes, and upstream/downstream data dependencies.
• Experience owning data documentation, metric definitions, or data quality programs,not just conducting ad hoc analysis.
• A track record of cross-functional coordination, ideally between technical data teams and product or commercial stakeholders.
• Strong project management instincts: you can run a triage process, maintain a quality library, and coordinate across multiple stakeholder groups without dropping balls.
• Clear, structured communication,you can translate complex data methodology questions into guidance that non-technical stakeholders can act on.
• A demonstrable track record of building,shipping things, solving hard problems, and leaving a clear mark on the products you’ve worked on.
• An entrepreneurial mindset: you’re comfortable with ambiguity, energized by new problem spaces, and don’t need a fully paved road to make progress.
• Deep experience with alternative data, panel data, or similarly complex, nuanced data sources is required,you need to understand the quirks, limitations, and methodological subtleties of these datasets and be able to encode that understanding for an AI-driven product.
• Prior experience in or exposure to AI/ML products, LLM-based agents, or evaluation frameworks is a strong plus.

Benefits

• Competitive base salary with comprehensive benefits
• Fully remote-friendly within the United States
• Flexible work hours and flexible vacation
• Generous 401(k) match, parental leave, wellness budget, and learning reimbursement
• A growth-oriented environment where advancement is driven by impact,not tenure

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You will own critical central data pipelines built on large-scale alternative datasets, including transaction data, email receipt data, B2B spend data, and other third-party datasets. Your team will transform complex data into reliable, production-grade assets used by research analysts, product teams, and internal applications.

Responsibilities:

• Lead, coach, and develop a global team of data engineers while staying close to architecture, design, code reviews, debugging, and delivery.
• Partner with Technical Product Managers and Data leads to translate roadmap priorities, customer needs, and research requirements into scalable technical plans.
• Build and improve scalable data pipelines, data models, and QA systems for various data products.
• Collaborate with business stakeholders and PMs to support reliable delivery of data pipelines, incident resolution, methodologies, and operational improvements.
• Use AI coding tools to develop and enhance methodologies, accelerate engineering execution, improve documentation, strengthen QA, support technical exploration, and raise team productivity.
• Create clarity and momentum in ambiguous environments by breaking down complex data, research, and product challenges into actionable engineering plans.

Requirements:

• 8+ years of professional experience in data engineering, data architecture, big data development, ETL engineering, or related technical roles.
• 3+ years of managerial experience, including mentoring, team leadership, and supporting delivery.
• Experience managing, mentoring, or formally leading data engineers or technical teams in a hands-on player-coach capacity.
• Strong hands-on expertise with SQL, PySpark, Databricks, and Airflow or similar workflow orchestration tools and AI toolings.
• Experience building, maintaining, or scaling business-critical data systems, including pipelines, production datasets, data delivery systems, or customer-facing data products.
• Deep technical judgment across data modeling, distributed data systems, pipeline architecture, orchestration, data quality, observability, and production reliability.
• Strong communication and cross-functional collaboration skills, especially with Product, Research, Operations, Client Success, Sales, and Engineering stakeholders.

Nice to Have:

• Experience with alternative data or financial data, including consumer transaction data, email receipt data, B2B spend data, or other large-scale third-party datasets.
• Experience supporting internal business stakeholders, including collaboration with leadership to aligned on strategic initiatives.
• Experience building data pipelines that support AI agents, LLMs, automated insight generation, or AI-powered analytical workflows.

What We Offer:

• Competitive salary: up to $215,000 per year, with a variable target up to 10%.
• Comprehensive benefits, perks, and equity.
• Flexible work hours, flexible vacation, a generous 401K match, parental leave, team events, wellness budget, learning reimbursement, and more!
• Opportunity to work remotely within the United States.

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As a Senior Data Analyst (MedTech), you will manage a team of 3-4 data analysts, own data quality and accuracy across MedTech research products, and evaluate new data sources to fuel sector growth.

Responsibilities:

• Team Leadership & Development: Manage a team, coach and perform management, set clear expectations, and provide regular feedback.
• Existing Product Ownership & Quality: Own data quality, review methodology decisions, and partner with the MedTech Research team.
• New Dataset Evaluation & Product Development: Identify, scope, and lead evaluations of new data sources, develop methodology and validation frameworks, and work with the Sector Head.
• Strategic Contribution: Translate sector priorities into team execution, contribute to MedTech roadmap discussions, and communicate priorities and risks.

Requirements:

• 4-8+ years of experience in data analytics, data science, or data product development.
• Strong technical skills, experience working with large-scale datasets, and healthcare data experience.
• Strong problem-solving and analytical judgment, clear communication style.

Preferred qualifications:

• Prior people management experience.
• Experience in alternative data, financial data products, or investor-facing analytics.
• Demonstrated ability to evaluate and scope new data sources end-to-end.
• Experience with AI/ML tools and workflows.

Compensation package includes a competitive salary ($175,000-$200,000), performance-based bonus, equity, flexible work hours, flexible vacation, 401K match, parental leave, team events, wellness budget, and learning reimbursement.

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Responsibilities:

• Own data strategy and execution for a portfolio of client deliverables within new sectors
• Serve as a subject-matter expert for emerging sector data, partnering with GTM teams on client conversations
• Investigate and resolve data quality issues, proactively troubleshooting client- or internal QA concerns
• Design, standardize, and maintain scalable workflows, ensuring consistency and efficiency as coverage expands
• Operate as a player-coach, setting a high bar for quality, speed, and innovation while mentoring and empowering your team

Requirements:

• 8+ years of experience in data analytics, data operations, or consulting, including 2+ years in a lead or management capacity
• 4+ years of experience working with SQL, Python, Pyspark, or other programming languages to explore and transform large, complex datasets
• Strong experience working with large, messy, evolving datasets, especially in environments with changing definitions or taxonomies
• Comfortable with SQL and Python (or similar tools) and have experience building and maintaining production-grade data workflows

What We Offer:

• Competitive salary ($170K ~ $190K + 10% target variable)
• Comprehensive benefits, perks, and equity
• Flexible work hours, flexible vacation, generous 401K match, parental leave, team events, wellness budget, learning reimbursement, and more

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Responsibilities:

• Act as a primary driver of revenue growth by selling YipitData's feed products into quantitative and systematic investment funds.
• Build and maintain a strong pipeline of opportunities through proactive outreach and your existing network.
• Collaborate with internal product teams to tailor solutions that address clients' specific data needs.
• Manage the complete sales process , from prospecting to contract execution , ensuring exceptional client experience.
• Represent YipitData at relevant conferences, industry events, and client meetings to strengthen our presence in the quant community.

Requirements:

• Have 4+ years of experience in financial data sales, with a proven track record selling to quantitative hedge funds or asset managers.
• Have a proven track record of exceeding quota and successfully introducing complex or technical data products to new clients.
• Leverage your network within the quant and systematic community to build pipeline.
• Are resourceful, resilient, and energized by the challenge of opening new doors.
• Thrive in a collaborative environment and are motivated by team and company success, not just individual achievement.

What We Offer:

• Competitive salary with an annual OTE of $300K.
• Comprehensive benefits, perks, and equity.
• Flexible work hours, flexible vacation, a generous 401K match, parental leave, team events, wellness budget, learning reimbursement, and more!

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Responsibilities:

• Own the commercial relationship for existing business
• Identify and close upsell opportunities
• Develop relationships with budget owners and decision makers
• Create advocates for our products and assist them in finding answers to their key questions
• Collaborate with research, data product, and client strategy teams to provide a "must-have" service to our clients

Requirements:

• At least 6+ years of experience in subscription and/or research sales in a fast-paced environment
• Experience selling insights to retailers
• Experience managing the holistic life cycle of a client relationship
• Experience selling into large enterprises and negotiating contracts
• Track record of meeting or exceeding sales goals
• Strong oral and written communication skills
• High EQ and sensitivity to clients' needs
• Entrepreneurial spirit and willingness to help build a new business

What We Offer:

• Competitive salary ($140-150K base salary + variable commission)
• Comprehensive benefits and perks, including flexible work hours, unlimited vacation, and a generous 401K match
• Equity and a strong culture focused on mastery, ownership, and transparency

This role may be performed fully remotely within the United States.

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Responsibilities:

• Break into new verticals using creative prospecting to meet stakeholders at all levels of larger businesses
• Leverage outbound sales skills using multiple communication methods, including cold calling, cold emailing, and LinkedIn messages
• Generate interest and meetings from Procurement leaders for a valuable product that helps them save time and money on software and AI renewals
• Develop skills across modern sales technology tools, including Apollo, Orum, LinkedIn Sales Navigator, and ZoomInfo
• Collaborate with the Enterprise Sales Development Manager, Enablement Manager, and Head of Sales to develop your sales skills
• Refine messaging to ensure success

Requirements:

• 2+ years of experience in a high-velocity sales environment as a top-performing SDR/BDR
• Successful experience working for a U.S.-based tech company selling to U.S. prospects, with a strong focus on cold-calling
• Track record of meeting or exceeding targets
• Empathetic with strong interpersonal skills and high emotional intelligence
• Highly self-motivated and proactive with your time
• Ability to handle rejection and be resourceful
• Coachable and willing to learn
• Positive outlook and sound judgment in new situations

Benefits:

• Flexible work hours and vacation
• Generous 401K match
• Parental leave
• Team events
• Wellness budget
• Learning reimbursement

Compensation: The annual salary for this position is anticipated to be up to $66,800 OTE ($50,000 base and $16,800 in bonus potential).

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As a Sales Development Representative at YipitData, you will:

• Develop creative outbound sales skills using various communication methods, including cold calling, cold emailing, and direct mail.
• Collaborate with Product, Sales, C-level stakeholders, and Strategy professionals who rely on alternative data research.
• Work with Marketing to optimize the opportunity conversion process.
• Map out organizational structures of leading tech companies to identify prospective users.
• Develop skills across a broad range of sales tools, including Salesforce, Gong, Groove, LinkedIn Sales Navigator, Zoom Info, Asana, and others.

To succeed in this role, you should:

• Have experience as a Sales Development Representative (SDR) or a strong desire to be in sales.
• Be passionate about contributing to the future of data-driven solutions for large tech, AI, and cloud companies.
• Understand the needs of Enterprise Tech companies.
• Be creative and empathetic with strong interpersonal skills and high emotional intelligence.
• Thrive in fast-paced, dynamic environments.
• Be resourceful and excited to learn.

We offer a competitive salary range of $65,000 per year, with eligibility for an annual performance-based bonus of up to $20,000. Our compensation package also includes comprehensive benefits, perks, and a flexible work environment.

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As a Sales Associate, you will join the go-to-market team of this new division and assist in acquiring new clients. Your responsibilities will include qualifying and following up with inbound leads and marketing-qualified opportunities, and proactively generating leads through outbound activity. You are then responsible for managing a full sales cycle and closing those new business opportunities.

This role is part of a new start-up team, but with the resources of a larger company. As such, you will gain experience in an earlier-stage sales environment with frequent iteration and the opportunity to take on additional responsibilities outside the general scope of your work.

In this role, you’ll gain experience in:

• Running a full sales cycle from initial outreach all the way to close
• Working on both inbound and outbound opportunities
• Selling to C-level executives
• Working in a startup environment, you’ll be part of a small team going to market on a totally new product

You are likely to succeed if:

• You have 2+ years in a SaaS, AI, or Fintech high-velocity sales environment, either as a top-performing SDR/BDR or Account Executive (At least 1 year of selling and 1 year of acquisition)
• You have strong interpersonal skills and enjoy spending a lot of time on phone and video calls
• You have strong email communication skills
• You’re comfortable working in a dynamic environment where things can change quickly
• You’re organized and can manage a large pipeline of opportunities

What We Offer:

• Base Salary + Variable Compensation: The annual base salary range for this position is anticipated to be $70,000. This role is eligible for variable compensation, with on-target earnings (OTE) of up to $136,000.
• Comprehensive benefits, perks, and a competitive salary, including flexible work hours, flexible vacation, a generous 401K match, parental leave, team events, wellness budget, learning reimbursement, and more!

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In this role, you will own the full sales cycle,from sourcing and qualifying new leads to leading product demonstrations, coordinating with research teams, and closing new business.

Responsibilities:

• Drive Revenue – Close deals and expand YipitData’s presence in the investment field.
• Build Relationships – Cultivate trust with senior stakeholders and deliver value.
• Collaborate & Impact – Partner across teams to ensure client success and drive results.

Requirements:

• 2+ years of experience in sales, business development, or a client-facing role (enterprise or subscription sales is a plus)
• Highly motivated to build a career in enterprise sales within financial services
• Comfortable with outbound prospecting and energized by hunting for new opportunities
• Intellectually curious and excited about data, investing, and financial markets
• Resilient and thrive in a fast-paced, performance-driven environment
• Strong written and verbal communication skills, including thoughtful questioning

What We Offer:

• Competitive salary: $78,000 base salary plus up to $110,000 in commission per year
• Comprehensive benefits, perks, and equity
• Flexible work hours, flexible vacation, a generous 401K match, parental leave, team events, wellness budget, learning reimbursement, and more!

Our award-winning, people-centric culture emphasizes transparency, ownership, and continuous mastery.

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Responsibilities:

• Participate early in new product and feature development, applying threat modeling and security design reviews to identify potential issues
• Analyze application architecture, APIs, authentication, authorization, data flows, cloud services, and third-party integrations to understand potential attack vectors
• Identify and validate vulnerabilities, prioritize risks, and work with teams to design remediation plans
• Improve security tooling across the development lifecycle, including SAST, DAST, dependency scanning, and secret scanning
• Automate security tasks and develop standards, secure design patterns, and coding guidance
• Lead responses to product security incidents and collaborate with Engineering and Product teams

Requirements:

• Experience in product security, application security, software engineering, penetration testing, or related roles
• Ability to analyze complex systems, identify trust boundaries, and understand potential risks
• Knowledge of threat modeling, architecture review, and application assessment
• Familiarity with security tools such as SAST, DAST, dependency scanning, and secret scanning
• Programming skills in languages like Python, JavaScript, or similar
• Strong judgment and communication skills, balancing security, customer impact, engineering effort, and business priorities

Benefits:

• Competitive salary ($180,000/year)
• Comprehensive benefits package
• Flexible work hours and vacation policy
• Generous 401K match and parental leave
• Team events, wellness budget, and learning reimbursement

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Responsibilities:

• Own YipitData's overall SEO and AEO strategy
• Own keyword, query, and question mapping across the full buyer journey
• Translate mapping into a prioritized content roadmap and detailed article briefs
• Coordinate with the YipitAgent team on content production and own verification and quality review of content
• Build and maintain tracking and reporting systems for content velocity, non-branded organic sessions, AI-sourced sessions, and visibility
• Continuously iterate on content performance
• Build and manage third-party presence on platforms that influence human buyers and AI models
• Work with PR on citation strategy
• Implement structured data, schema, internal linking, and technical SEO best practices
• Run experiments on titles, formats, structure, and distribution

Requirements:

• 4+ years of hands-on experience in SEO, content marketing, or organic growth
• Direct experience with AEO, generative engine optimization, or AI search visibility is required
• Fluent in the modern SEO toolkit and actively experimenting with AI visibility and citation tracking tools
• Think in questions and answers, not just keywords
• Write clear, specific content briefs and have a sharp editorial eye
• Comfortable with technical SEO fundamentals and can work effectively with engineers
• Collaborate well across content, product, design, and sales

What We Offer:

• Competitive salary ($108K-123K)
• Comprehensive benefits, perks, and equity
• Flexible work hours, flexible vacation, generous 401K match, parental leave, team events, wellness budget, learning reimbursement, and more
• Opportunity to work remotely within the United States

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The successful candidate will establish the systems, templates, and technical foundations that allow the teams to publish high-quality content quickly and consistently,without relying on engineering for routine website work. They will help evolve the website into a scalable growth platform that supports YipitData's businesses, strengthens their brand, and creates clear, intuitive experiences for their audiences.

Responsibilities:

• Own the end-to-end design and development of YipitData's public-facing websites, from early concepts and user flows through launch and ongoing iteration.
• Translate business objectives, brand strategy, content requirements, and growth opportunities into clear information architecture and compelling web experiences.
• Design and build responsive, accessible, production-ready pages, templates, components, and interactions in Webflow.
• Create and maintain a scalable website design system that improves consistency, quality, and speed across YipitData's web properties.
• Serve as the technical owner of the Webflow environment, including CMS architecture, reusable components, custom code, integrations, permissions, documentation, and publishing workflows.
• Partner with Demand Generation and Marketing to support SEO and AEO, conversion optimization, experimentation, analytics, lead flows, and campaign launches.
• Collaborate with Brand and Communications to ensure that every website experience reflects YipitData's visual identity, narrative, voice, and editorial standards.
• Work with business and product teams to turn complex offerings,including data, research, and AI-powered products,into intuitive, credible, and engaging digital experiences.
• Establish website quality standards and conduct ongoing reviews for usability, accessibility, responsiveness, performance, and cross-browser compatibility.
• Manage website projects and priorities across multiple stakeholders, communicating tradeoffs and moving work forward in a fast-paced environment.
• Develop self-service templates, guidance, and governance that enable non-technical teams to publish and update content safely.
• Collaborate with external agencies and specialized partners when needed while steadily increasing YipitData's in-house capabilities.

Requirements:

• 5+ years of professional experience designing and building high-quality marketing or corporate websites.
• Highly proficient in Webflow, including CMS architecture, reusable components, responsive layouts, interactions, and custom code when needed.
• Strong front-end fundamentals, including HTML, CSS, and JavaScript.
• Deep experience with responsive design, information architecture, design systems, accessibility standards, browser compatibility, and website performance.
• Comfortable owning work from initial request through discovery, design, stakeholder alignment, development, QA, launch, and iteration.

Nice-to-have experiences:

• Designing websites for B2B technology, data, analytics, research, financial services, or other complex products.
• Technical SEO, AEO, structured data, content discoverability, or large-scale CMS publishing.
• Conversion-rate optimization, experimentation, analytics, and lead-generation workflows.
• Figma and component-based design systems.
• Connecting Webflow with analytics, marketing automation, CRM, forms, APIs, or other third-party platforms.

What We Offer:

• Competitive salary: The annual base salary range for this position is anticipated to be $150,000 with eligibility for an annual performance-based bonus of up to 10%.
• Comprehensive benefits, perks, and a flexible work environment.

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As our Insights Sector Lead, you will:

• Lead product strategy for various categories, collaborating with data counterparts to drive meaningful value for clients
• Manage a team of talented insights analysts, scaling their impact through effective coaching and development opportunities
• Be responsible for the commercial success of the sector, working closely with revenue counterparts on critical upsell and renewal opportunities

You are likely to succeed if:

• You have 5 years of experience servicing consumer brand clients from a product perspective, specifically within market research
• You have experience managing others and enjoy cross-functional workflows
• You enjoy using SQL or Excel to dive deep into data to surface impactful insights

We offer a competitive salary, comprehensive benefits, and perks, including flexible work hours, flexible vacation, a generous 401K match, parental leave, team events, wellness budget, and learning reimbursement.

The annual base salary range for this position is anticipated to be $160K-170K, with on-target earnings (OTE) of up to $192K-204K.

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Responsibilities:

• Create and deliver meaningful insights to prospective clients
• Dive into secondary research and work with the Sales team to isolate key pain points for prospective clients
• Deliver actionable analysis to address client issues
• Consult with prospective clients to uncover business opportunities and provide actionable insights
• Identify areas where YipitData's data can help clients
• Gain skills in identifying new opportunities, sizing up potential impact, and working closely with Marketing to establish and execute a go-to-market strategy

Requirements:

• 3-4+ years of experience in business analytics or consulting
• Talent for data-driven storytelling
• Passion for data analysis; SQL and/or Python experience is preferred
• Ability to work collaboratively in an innovative, entrepreneurial, and dynamic environment
• Experience in collaborating with brand manufacturers and/or retailers is preferred

What We Offer:

• Competitive salary ($100k-$110k per year)
• Comprehensive benefits and perks
• Flexible work hours and vacation
• Generous 401K match and parental leave
• Team events and wellness budget
• Learning reimbursement

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Responsibilities:

• Assess the current TA organization, processes, and ways of working to determine what should be preserved, improved, simplified, or redesigned.
• Define and execute a roadmap for the next phase of Talent Acquisition, prioritizing the changes that will have the greatest impact on the business.
• Lead the organization through change by building stakeholder alignment, navigating resistance, and driving adoption of new processes and expectations.
• Strengthen partnerships across Talent Acquisition, People, hiring managers, and business leaders to create greater clarity, consistency, and accountability throughout the hiring process.
• Lead, coach, and develop a team of approximately seven recruiting professionals, establishing clear expectations, accountability, and opportunities for growth.
• Serve as a strategic talent advisor to senior leaders, bringing recruiting expertise, market insights, and thoughtful challenge to workforce and hiring decisions.
• Evolve our approach to proactive sourcing, talent pipelining, and market mapping based on the needs of the business.
• Provide strategic oversight for senior-level, executive, and other business-critical searches, ensuring the right strategy, resources, and stakeholder engagement are in place.
• Establish clear recruiting processes, operating rhythms, SLAs, and ownership that improve hiring quality, speed, consistency, and accountability.
• Build meaningful metrics, dashboards, forecasting, and capacity planning that enable better decision-making and visibility into recruiting performance.
• Own and optimize our recruiting technology ecosystem, including our ATS, automation, and AI-enabled tools.
• Identify root causes and recurring bottlenecks across the hiring process and implement scalable solutions that drive continuous improvement.

Requirements:

• 10+ years of progressive Talent Acquisition experience, including significant experience leading and developing recruiting teams in high-growth or evolving organizations.
• Experience supporting hiring across multiple functions, including technical, sales/GTM, and finance or professional services roles, with exposure to senior and executive hiring.
• Strong recruiting operations and technology expertise, including experience with Greenhouse or a comparable ATS.

What We Offer:

• Competitive salary: $280,000 - $350,000 OTE (base + bonus)
• Comprehensive benefits, perks, and equity
• Flexible work hours, flexible vacation, generous 401K match, parental leave, team events, wellness budget, learning reimbursement, and more

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Responsibilities:

• Own business performance, including ARR growth, retention, profitability, and overall financial performance
• Translate the strategy into a multi-year business plan with clear targets, assumptions, resource requirements, and risks
• Establish the business scorecard and provide a clear view of performance, trajectory, and required decisions
• Define the portfolio and investment strategy, including determining which markets, buyer segments, and systematic workflows to pursue
• Shape transaction data, B2B data, Quant products, and other feeds into a coherent portfolio
• Identify opportunities to turn existing data into new products, use cases, and revenue streams
• Allocate investment across the portfolio, making explicit decisions about where to scale, maintain, change course, or stop
• Prioritize capabilities and data assets that can be reused across multiple products, workflows, and markets
• Build the commercial engine, including defining a clear portfolio proposition, packaging, pricing, bundling, entitlements, and other core business-model decisions
• Partner with Revenue and Client Strategy to build repeatable sales, trial, onboarding, adoption, retention, and service motions for systematic-data buyers
• Build strong relationships with quantitative researchers, data scientists, portfolio managers, and other sophisticated data buyers
• Establish a scalable operating model, including creating an operating cadence, establishing clear decision rights and accountability, and resolving cross-product dependencies
• Prepare the business for the future of data consumption, including setting business requirements for systematic products and shaping the portfolio's distribution strategy

Requirements:

• Senior leadership experience building or scaling a data, financial-technology, information-services, analytics, or enterprise-software business
• Direct ownership of a P&L or business line, including revenue performance, multi-year planning, resource allocation, and investment tradeoffs
• A record of turning individual products or differentiated data assets into a coherent, repeatable commercial business
• Strong market and portfolio judgment, with the ability to choose among competing buyer segments, growth opportunities, and investments
• Experience developing pricing, packaging, go-to-market, onboarding, and service models for sophisticated enterprise or technical customers
• The ability to build strong client relationships and translate market evidence into clear business and product choices
• Experience leading through a matrixed organization, establishing decision rights, aligning functional leaders, and creating execution discipline
• Sufficient technical fluency to engage credibly on data quality, methodologies, schemas, APIs, infrastructure, and delivery reliability
• A demonstrated ability to build teams, develop leaders, and design organizations that can scale
• Exceptional written, verbal, and executive communication skills

Preferred Skills:

• Experience serving quantitative investors, systematic funds, data scientists, or other technical investment personas
• Experience in alternative data, market data, financial information services, or investment-research products
• Familiarity with systematic-data requirements such as point-in-time integrity, backtesting, identity mapping, schema stability, lineage, and reproducibility
• Experience commercializing data through feeds, APIs, cloud platforms, MCPs, marketplaces, third-party integrations, or agentic interfaces
• Experience evaluating, sourcing, licensing, or managing third-party data partnerships
• Experience using AI and automation to improve data-product development, quality, evaluation, or client delivery

Benefits:

• Flexible work hours, flexible vacation, a generous 401K match, parental leave, team events, wellness budget, learning reimbursement, and more
• Base Salary + Performance-Based Bonus: The annual base salary range for this position is anticipated to be $225k-$250k, with eligibility for an annual performance-based bonus of up to 25%

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You will own the customer journey from first impression through paid conversion: how prospects discover YipitAgent, understand its value, start a trial, become deeply engaged, and convert into paying customers. Your work may span our SEO/AEO strategy, trial UX, in-product engagement, lifecycle communications, and pricing/packaging. You will collaborate closely with core product, design, engineering, data, marketing, and customer-facing teams.

What Success Looks Like:

• Organic inbounds become our primary channel for new customer acquisition.
• More visitors start trials and reach meaningful value quickly.
• Trialists engage deeply and consistently throughout their trials.
• More trialists convert into paying customers.
• Measurable increases in active users per account.

Key Responsibilities:

• Optimize our SEO/AEO by leveraging our proprietary data and the latest technologies & tactics.
• Own and improve the growth funnel from acquisition through trial activation, engagement, conversion, and re-engagement.
• Define and measure clear goals and success metrics for each stage of the customer journey.
• Discover ‘aha’ moments through interviews, behavioral data, funnel analysis, and experimentation and incorporate those moments into the UX appropriately.
• Design and optimize trial onboarding, in-product education, activation moments, and upgrade experiences.
• Develop engagement and re-engagement tactics, including proactive and personalized lifecycle touchpoints.
• Incorporate growth tactics into the core product experience so engagement reinforces itself and spreads to other users.
• Explore and test pricing, packaging, and trial structures that improve conversion while preserving customer trust.
• Partner with designers and engineers to prototype, launch, measure, and iterate on new experiences.
• Build a disciplined experimentation practice that balances rapid learning with a coherent customer experience.
• Communicate insights, priorities, results, and tradeoffs clearly across the company.

Qualifications & Skills:

• 5+ years of growth product management, product marketing, or similarly relevant experience.
• A track record of improving acquisition, activation, engagement, retention, or conversion.
• Strong product and UX judgment, with the ability to turn ambiguous problems into intuitive experiences.
• Highly analytical and comfortable working with funnel metrics, cohorts, experiments, and behavioral data.
• Strong customer discovery skills and the ability to combine qualitative insight with quantitative evidence.
• Experience with product-led growth, self-serve trials, or B2B SaaS products.
• Familiarity with SEO/AEO, lifecycle communications, and pricing or packaging experimentation.
• Comfortable moving between strategy and execution,from defining the growth model to reviewing a trial screen or drafting an email.
• Excellent collaborator and communicator across design, engineering, data, marketing, sales, and customer-facing teams.

This is a remote-friendly opportunity that can sit in NYC (where our headquarters is located), one of our office hubs, or anywhere else in the US. However, depending upon where the remote work is performed, income could be subject to New York State tax withholding.

Our compensation package includes comprehensive benefits, perks, and a competitive salary:

• Base Salary + Performance-Based Bonus: The annual base salary range for this position is anticipated to be $170,000, with eligibility for an annual performance-based bonus of up to 10%.

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Responsibilities:

• Lead and develop the product team
• Lead product portfolio strategy and execution
• Directly own and build products
• Drive commercial performance
• Build a consistent, reliable client experience
• Connect teams around shared outcomes

Requirements:

• Significant product management experience, typically 7+ years
• Experience directly managing and developing product managers
• A track record of taking products from customer discovery through launch and scaling
• Strong portfolio judgment
• Commercial fluency
• Hands-on analytical ability
• Technical fluency in data products
• Excellent communication and cross-functional leadership skills

Preferred Qualifications:

• Experience with alternative data, financial data, or investment research products
• Familiarity with fundamental, quantitative, or systematic investment workflows
• Experience building a portfolio that serves multiple customer segments or combines multiple data sources

What We Offer:

• Competitive salary ($190k - 205k)
• Performance-based bonus (up to 15%)
• Equity
• Comprehensive benefits and perks

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Responsibilities:

• Identify and evaluate potential data partners with high strategic and product value
• Engage with CEOs and senior executives to assess opportunities and build alignment
• Lead discovery and diligence processes to understand data quality and long-term product applicability
• Develop strategic and economic business cases for partnership opportunities
• Negotiate and execute complex enterprise-level agreements
• Coordinate cross-functionally with various teams

What Success Looks Like:

• Signing a flagship, exclusive partnership within 12-18 months
• Building a repeatable executive-level pipeline of high-quality partnership opportunities
• Establishing clear internal conviction around which opportunities merit investment

Requirements:

• Director-level experience in enterprise sales, strategic partnerships, corporate development, investment banking, or strategy consulting
• Experience evaluating and executing complex, multi-stakeholder transactions
• Comfortable engaging and influencing C-suite executives
• Strong judgment when evaluating ambiguous, high-stakes opportunities

What We Offer:

• Competitive base salary
• Performance incentives (OTE $350k)
• Equity
• Flexible work hours and open vacation policy
• Generous 401(k) match and parental leave
• Wellness and work-from-home benefits
• Learning and professional development support

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Responsibilities:

• Design, validate, and deploy robust, scalable optimization frameworks and distribution models to ensure complete mathematical integrity across downstream metrics.
• Explore and execute complex methodologies, evaluate methodological trade-offs, and implement advanced statistical procedures.
• Partner cross-functionally to transition ad hoc code into standardized, version-controlled templates and logical libraries.
• Partner closely with Data Engineering to optimize code performance and scale analytical workflows.

Requirements:

• 4–5 years of professional data science experience.
• Bachelor’s degree in a highly quantitative field (Statistics, Economics, Physics, Mathematics, Engineering, or a related discipline).
• Exceptional expertise in working with, modeling, and optimizing for statistical distributions.
• Advanced proficiency in Python or R and expert-level SQL.

Nice to Have:

• Direct experience working with panel data or longitudinal consumer data.
• Hands-on experience analyzing receipt data or transaction-level consumer data.
• Experience working with Databricks and scaling advanced compute workloads.

What We Offer:

• Competitive salary up to $170K + bonus element.
• Comprehensive benefits, perks, and equity.
• Flexible work hours, flexible vacation, a generous 401K match, parental leave, team events, wellness budget, learning reimbursement, and more!

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As a Data Product Analyst, you will independently manage data quality end-to-end, resolve complex issues across data pipelines and sources, improve category classification and product attribution, collaborate with cross-functional partners, and help clients understand the methodology and data limitations.

Key responsibilities include:

• Ramping up quickly to become the primary owner of high-impact data deliverables
• Designing, maintaining, and running comprehensive QA processes to ensure data accuracy and reliability
• Serving as a trusted resource for clients and internal stakeholders
• Investigating and resolving complex data quality issues
• Collaborating cross-functionally with Insights and Engineering to align on best practices
• Proactively identifying opportunities to improve efficiency, robustness, and data quality

Requirements include:

• 4-6 years of experience in data analytics, data operations, or consulting
• 4+ years of experience working with SQL, Python, Pyspark, or other programming languages
• Experience using sample or panel data to make precise estimates
• Proven track record of quickly learning new concepts
• Strong communication skills
• Ownership mentality and enthusiasm for making a big impact

What YipitData offers:

• Competitive salary with an anticipated on-target earnings of up to $150K + bonus eligible
• Comprehensive benefits and perks, including flexible work hours, flexible vacation, 401K match, parental leave, team events, wellness budget, and learning reimbursement
• Opportunity for growth and development in a rapidly growing company

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Responsibilities:

• Own the lifecycle of your data domain: from defining how raw partner data should be processed, validated, tagged, and modeled to ensuring downstream teams can confidently build products on top of it.
• Build systems that improve data quality: Design validation frameworks, monitoring, and QA systems that proactively detect issues.
• Design reusable methodologies that scale: Identify common business concepts and analytical patterns across Investor, Corporate, and Data Feeds.
• Set analytical and technical direction: Partner with the Technical Product Manager to prioritize investments based on cross-business impact.
• Expand and evolve your domain: Partner with the Data Evaluation team to onboard new datasets.
• Redesign analytical work with AI: Use AI, automation, and emerging tooling to fundamentally improve how data is processed, validated, documented, and maintained.
• Help build the organization: Mentor junior analysts and establish the standards, processes, and culture that define how your domain operates.

Requirements:

• 6-8+ years of experience in data analytics, with a background in fields like financial services, management consulting, data science, or high-growth technology.
• Expert fluency in SQL and experience using Python or PySpark.
• Proven track record of quickly learning complex data methodologies and building strong mental models of how and why data works.
• Led complex, ambiguous projects with multiple stakeholders.
• Skilled at working with messy, inconsistent datasets and evolving schemas.
• Clearly communicate complex concepts and influence cross-functional partners.

What We Offer:

• Competitive salary: $165K-$205K per year.
• Comprehensive benefits, perks, and a generous 401K match.
• Flexible work hours, flexible vacation, parental leave, team events, wellness budget, learning reimbursement, and more.
• Opportunity to work remotely within the United States.

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As a Client Strategy Manager, Corporate at YipitData, you will:

• Own and cultivate relationships with your clients by leveraging product expertise to drive value, user engagement, and deeper adoption
• Understand the client base and the jobs that need to be done, becoming a trusted resource for our clients by acting as a thought partner and providing top-notch service
• Advocate for client needs cross-departmentally
• Create and execute account growth & engagement strategies
• Manage commercial strategy by developing rapport with key decision-makers, partnering with cross-functional partners to create, set and execute account strategy, and identifying upsell opportunities to augment contract value
• Contribute to building best-in-class practices within our growing Corporate team

You are likely to succeed if:

• You have a minimum of 3+ years of relevant client-facing experience
• You can think holistically about an account and build strategic relationships to support user engagement, value creation, and positive renewal outcomes
• You are passionate about making your clients successful
• You can proactively identify value-adding opportunities for your client base through discovery
• You can manage a high-touch, high-volume client base
• You are both a self-starter and a team player
• You are energized by contributing to the future of YipitData and the Corporate business

The annual on-target earnings for this position is anticipated to be $115,000 base salary + $40,000 commission based ($155,000 OTE).

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As a Client Strategy Manager at YipitData, you will own and cultivate relationships with your clients, leverage product expertise to drive value and grow user engagement, and become a trusted resource for our clients.

Responsibilities:

• Own and cultivate relationships with your clients
• Leverage product expertise to drive value and grow user engagement
• Become a trusted resource for our clients by acting as a thought partner and providing top-notch service
• Advocate for client needs cross-departmentally
• Create and execute on account growth & engagement strategies
• Manage commercial strategy by developing rapport with key decision makers, managing renewals, and identifying and executing on upsell opportunities

Requirements:

• Minimum of 4+ years of relevant client-facing experience
• Ability to build strategic relationships within your book of business
• Passionate about making your clients successful and care deeply about their investment questions and process
• Ability to proactively identify value-adding opportunities for your client base and materialize them through our research
• High-touch, high-volume client base management skills
• Self-starter and team player

What We Offer:

• Competitive salary with an annual on-target earnings of up to $110,000 base salary + $40,000 gross retention bonus
• Comprehensive benefits, perks, and flexible work hours
• Flexible vacation, generous 401K match, parental leave, team events, wellness budget, learning reimbursement, and more!

Our company operates globally with offices in the US, APAC, and India, and we offer a remote-friendly work environment.

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Responsibilities:

• Develop creative outbound sales skills using various communication methods, including cold calling, cold emailing, direct mail, and more.
• Work with Product, Sales, C-level stakeholders, and Strategy professionals who rely on alternative data research to inform strategic decisions.
• Collaborate with Marketing to optimize the opportunity conversion process.
• Map out organizational structures of leading Brands and Retailers to identify prospective users.
• Develop skills across a broad range of sales tools, including Salesforce, Gong, Groove, LinkedIn Sales Navigator, Zoom Info, Asana, and others.

Requirements:

• Experience as a Sales Development Representative (SDR) in an internship or full-time role.
• Strong desire to be in sales.
• Passion for contributing to the future of data-driven solutions for Brands and Retailers.
• Creativity in thinking of different ways to engage prospects.
• Empathetic with strong interpersonal skills and high emotional intelligence.
• Ability to thrive in fast-paced, dynamic environments.
• Positive outlook and resourcefulness.
• Sound judgment when handling new situations.

What We Offer:

• Competitive salary: up to $92,500 On-Target-Earning ($70,000 Base + $22,500 Variable).
• Comprehensive benefits, perks, and flexible work arrangements, including flexible work hours, flexible vacation, generous 401K match, parental leave, team events, wellness budget, and learning reimbursement.

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This is a terrific opportunity for a product innovator to accelerate YipitData's revenue growth and client engagement by developing pioneering products and experiences that enable customers to capitalize on valuable data.

You will be honing the team's product development strategy, making critical decisions that impact product and company outcomes, and promoting collaborative execution with other team members.

Responsibilities:

• Drive revenue growth by building new alternative data products spanning entire sectors or financial verticals
• Explore and evaluate new datasets for potential commercialization
• Work closely with the Partnerships team to direct the sourcing of new datasets and build tight relationships with prospective data partners
• Understand the workflows, problems, and needs of users through client interviews and collaboration with the Revenue team
• Drive the product strategy that creates value on top of YipitData's data and research
• Communicate progress and roadmaps upward and outward
• Potentially manage or build out a team of Product Development Analysts

Requirements:

• 5+ years of alternative data experience, including evaluating, sourcing, and working with multiple datasets
• Successfully developed new alt-data research or feed products with measurable impact
• Client-facing or buy-side exposure and a strong understanding of financial client needs
• Customer-centric product thinking using data and feedback to guide high-impact decisions
• Track record of product innovation, identifying opportunities early, prioritizing effectively, and executing quickly and iteratively
• Collaboration across teams and influencing others to deliver on shared product goals
• Understanding of the underlying technology of data collection, storage, delivery, and consumption
• Transparent communication and alignment with company objectives and success

What We Offer:

• Competitive salary ($185K - $200K)
• Annual target performance bonus of 10%
• Equity
• Comprehensive benefits and perks, including flexible work hours, flexible vacation, 401K match, parental leave, team events, wellness budget, and learning reimbursement
• Opportunity for growth and self-improvement in an environment focused on ownership, respect, and trust

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Responsibilities:

• Own the tiered target account list in partnership with Corporate Tech leadership, defining ideal customer profiles, buying committee personas, and prioritization criteria for both known and whitespace accounts.
• Orchestrate 1:1 and 1:few account-based marketing plays that reach multiple stakeholders within each buying committee, sequencing content, outreach, and offers across channels to move accounts from awareness to active conversation.
• Own content strategy and the editorial roadmap for the Corporate Tech audience in partnership with our Content Marketing Associate, ensuring every asset is anchored in differentiated data and built to open doors.
• Direct channel execution across paid social, paid search, retargeting, organic, and AEO in partnership with our Digital Marketing Associate, with targeting and messaging tuned to priority accounts.
• Partner with marketing leadership on our social proof strategy for target accounts, surfacing testimonials, case studies, and customer stories and putting them in front of the right buyers at the right stage.
• Shape event strategy in partnership with our Associate Field Marketing Manager, including hosted events, executive roundtables, and third-party conferences where target accounts are present.
• Partner closely with Sales on outbound strategy, messaging, and positioning, arming the team with account insights, sequences, and data-led talking points.
• Support expansion motions within existing Corporate Tech accounts, identifying new teams and use cases and running programs to unlock them.
• Own measurement and performance for the program, building the reporting that connects account engagement to SAOs, pipeline, and closed-won revenue and sharing results and tradeoffs across the company.
• Run a disciplined test-and-learn cadence on audiences, offers, channels, and messaging, and scale what works.

Requirements:

• 4+ years of experience in B2B demand generation, account-based marketing, or growth marketing, with a track record of sourcing pipeline and revenue from a defined set of target accounts.
• Experience marketing to enterprise technology companies, or marketing data, analytics, or research products, is a strong plus.
• You've built and run ABM programs end to end, from account selection and persona mapping through multi-channel orchestration and measurement.
• You're fluent in the modern ABM demand gen stack.
• You have strong messaging instincts and can translate a complex data product into a sharp, buyer-specific reason to take a meeting.
• You work exceptionally well with Sales and treat the relationship as a true partnership, with shared targets and a fast feedback loop.
• You're an operator who can orchestrate across content, digital, field, and sales partners, keeping many moving parts aligned toward a single goal.
• You thrive in a fast-moving environment, bias toward action, and are energized by building a program from the ground up.

What We Offer:

• Competitive salary: $110K-130K per year
• Comprehensive benefits, perks, and a generous 401K match
• Flexible work hours, flexible vacation, parental leave, team events, wellness budget, learning reimbursement, and more
• Opportunity to work remotely from anywhere in the US

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Key Responsibilities:

• Own AI product strategy for investor workflows
• Build AI-native products, not just features
• Translate frontier AI into real-world utility
• Work directly with customers
• Drive rapid experimentation and iteration
• Collaborate across disciplines
• Define quality, reliability, and trust
• Shape the future of the platform

Qualifications & Skills:

• 4-6+ years of product management or similar experience
• Experience building and launching AI copilots or agents for external customers or end users
• Familiarity with how AI/ML models and AI agents are built and maintained
• Strong product instincts with a track record of building and launching 0→1 products
• Strong user research and customer discovery skills
• Generalist knowledge of both engineering and design
• Able to design and evaluate prompts, contexts, and model behaviors
• Analytical thinker, comfortable with data and experimentation
• Great communicator and collaborator
• High ownership mindset with a bias toward action and learning

What We Offer:

• Competitive salary of $185,000 with a 10% performance bonus, and equity
• Comprehensive benefits, perks, flexible work hours, flexible vacation, a generous 401K match, parental leave, team events, wellness budget, learning reimbursement, and more

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As an Account Development Manager at YipitData, you will:

• Own and cultivate relationships with your clients by leveraging product expertise to drive value and grow user engagement, becoming a trusted resource for our clients, advocating for client needs cross-departmentally, and creating and executing on account growth & engagement strategies.
• Manage commercial strategy by developing rapport with key decision makers, managing renewals from beginning to end, and identifying and executing on upsell opportunities to augment contract value.
• Contribute to building best-in-class practices within our growing Client Strategy team and work to eventually grow into our Business Development team or build out a team of your own.

You are likely to succeed if:

• You have a minimum of 3+ years of relevant client-facing experience.
• You are able to build strategic relationships within your book of business to support your renewal conversations, partnership presentations, and business expansion opportunities.
• You are passionate about making your clients successful and care deeply about their investment questions and process.
• You are able to proactively identify value-adding opportunities for your client base and materialize them through our research.
• You can manage a high-touch, high-volume client base.
• You are both a self-starter and a team player.
• You are energized by contributing to the future of data-driven investment research and are genuinely interested in investment research and the markets.

What We Offer: Our compensation package includes comprehensive benefits, perks, and a competitive salary. The annual base salary range for this position is anticipated to be $125k. This role is eligible for variable compensation, with on-target earnings (OTE) of up to $175k. We offer flexible work hours, flexible vacation, a generous 401K match, parental leave, team events, wellness budget, learning reimbursement, and more!

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Programs have a large scope and/or impact in nature, including owning the development and support of first-of-its-kind commercialization efforts, ongoing program support (pre to post-launch), custom deal support related to the program, ownership of related enablement and communications, as well as acting as a change agent across the business.

You will be responsible for the end-to-end management of commercial and/or GBS launch readiness programs, driving cross-organizational alignment through the delivery of related outputs.

This role requires a background in program management and commercial program experience, change management, a strong understanding of and experience in scaling global, cross-organizational mechanisms.

Responsibilities

• Independently lead large scale, cross-functional commercial or GBS launch readiness programs that have Stripe-wide impact, often first-of-their-kind programs and initiatives
• Manage and lead a highly complex program/s which require considerable resources and high levels of complex functional and technical integration and knowledge
• Support the commercial program deal motion, partnering with Deal Pricing and/or Deal Strategy Strategists, sellers, and internal stakeholders to create custom commercial approaches
• Work cross-functionally with sales teams, sales leaders, services/support teams, product teams, and cross-functional teams to develop, launch, and scale the commercial program (continuously evolving the ways Stripe goes to market) to support commercialization efforts
• Identify, surface, and action systemic, broad issues and gaps, proposing holistic solutions to address root causes
• Navigate, and propose creative solutions, through complex programmatic problems at scale across Go-To-Market and Stripe
• Partner with cross-functional teams such as Legal, Finance, Accounting, Service Teams, Product Teams, etc to resolve and remove internal blockers
• Act as liaison within Sales, Deal Pricing and Deal Strategy Strategists, and other stakeholders for custom elements
• Facilitate meetings, working sessions, and exercises that assist the leadership team in optimizing effectiveness amongst themselves and across the organization in general
• Advocate on behalf of a position and quickly gain cross-functional alignment on the position
• Quickly build credibility and trust with internal stakeholders
• Lead projects to solve existing commercialization issues

Minimum requirements

• BA/BS degree in Business, Technology, Finance, or Economics
• 10+ years of experience in program management/commercial strategy/economics/deal management/pricing with experience owning program strategy or business operations
• 5+ years of direct commercial pricing model program management skills/knowledge/experience/deal management, and/or oversight
• Experience driving cross-team mechanism development end to end (ideation, planning, execution, launch, post-launch support)
• Experience working in ambiguous, quickly scaling environments, comfortable with high-agency
• Experience engaging with senior executives on high priority initiatives, as well as the ability to work effectively across internal and external organizations
• Be able to articulate and understand business strategy at the C-Suite level to gain credibility and advise organizations on how best to achieve their business goals through the use of commercial programs
• Strong written and verbal communication, presentation, negotiation, and project management skills
• Establish credibility and maintain working relationships with internal stakeholders involved with commercial constructs (Legal, Finance, Accounting, etc.)
• Experience presenting data and metrics to senior leadership to report on metrics
• Strong ability to advocate for a position even in the face of pushback

Preferred qualifications

• Direct commercial construct launch oversight and experience
• Payments industry experience
• MBA degree in Business, Technology, Finance, or Economics
• Possess PgMP or PMP certification

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You will own the end-to-end operationalization of quality measures and campaigns,from understanding the measure and identifying the opportunity, to designing and deploying high-impact programs, developing workflows, job aids and enablement, coordinating implementation, monitoring execution, and evaluating performance.

Key Responsibilities:

• Own the portfolio of HEDIS contractual quality measures and roadmap across Waymark's partnerships.
• Translate measure specifications and partner requirements into executable programs, including building workflows and scoping and directly managing vendor partners.
• Conduct retrospectives, root cause analyses, and structured improvement cycles to identify execution friction points and accelerate gap closure.
• Collaborate with Care Operations and Learning and Development teams to develop and maintain the job aids, SOPs, training, and enablement needed for care teams to execute campaigns consistently.
• Coordinate supplemental data submissions and reconciliation across payer partners.
• Partner with the Analytics team to define measure logic, dashboards, patient lists, gap reporting, and automated monitoring.
• Serve as a Subject Matter Expert for the Clinical Product Development team to ensure the ideation and requirements for new automation and AI innovations reflect best practices.
• Serve as a Subject Matter Expert for the Business Development team on HEDIS metrics and targets during contract negotiations.
• Stay informed about industry trends and best practices in quality and clinical management and integrate into our operations and product design.

Minimum Qualifications:

• 7+ years of experience in healthcare quality, quality operations, population health, value-based care, managed care, or a related field.
• 5+ years experience with NCQA HEDIS quality measures and performance programs.
• Experience with BI and reporting tools such as Looker, Tableau, Power BI, or equivalent platforms.
• Strong program and project management skills with a proven ability to lead complex, cross-functional initiatives.

Preferred Qualifications:

• Experience with Medicaid managed care.
• Lean Six Sigma or related quality improvement certification.
• Graduate or Advanced Degree (MPH, MHA, MBA).

The expected hiring range for this role is $127,000 – $157,000, depending on relevant experience, skills, and qualifications.

Benefits include stock options, work-from-home stipend, incentive program, medical, vision, and dental coverage, life insurance, paid time off, parental leave, retirement savings, commuter benefits, and professional development stipend.

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Responsibilities:

• Counsel the global product team on a range of issues relating to the adoption of artificial intelligence in all facets of Stripe’s business, including data protection and privacy law, consumer protection, and product development.
• Collaborate with teams across Stripe to deliver pragmatic and actionable legal advice on a range of issues related to the product development lifecycle.
• Draft, review, and update internal and external-facing foundational terms and documents for Stripe’s products and service offerings.
• Stay up-to-date on laws and regulations dealing with consumer financial data access and analyze laws, regulatory updates, and industry trends to proactively advise clients of potential product impacts.
• Serve as a proactive business partner to your product team and build a trusted advisor relationship offering key legal and strategic business input.

Requirements:

• 8+ years of demonstrated experience as a qualified lawyer in a top law firm or in-house legal team working with technology companies.
• Passion for working with technology and ability to understand complex operational and business models.
• Self-starter and self-learner who thrives in a fast-paced environment.
• Strong communication and relational skills.
• Excellent project management and organizational skills.

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We are looking for a Marketing Technology Program Manager to join our Marketing Operations team. This role sits at the intersection of technology, data, and program management, and requires someone who can move fluidly between strategic planning and hands-on execution.

Responsibilities

• Act as the program manager for 1-2 initiatives at a time, such as digital channel effectiveness, measurement, Account-Based Marketing (ABM), and online event production
• Own end-to-end program delivery for initiatives; maintain program communications, track milestones, lead cross-functional workstreams, and provide regular updates on roadmap progress
• Lead programs to address recurring marketing process and technology challenges; define objectives, success metrics, and build repeatable processes that scale
• Partner with product and engineering teams to scope business requirements, coordinate discovery, and translate operational needs into product requirements for internal tooling
• Lead requirements, selection, contracting, implementation, and adoption of third-party software; drive new custom features in the company's implementation of third-party software
• Coordinate review cycles, pilots, and feedback collection during program execution; summarize required changes, identify launch-blocking issues, and escalate risks as needed
• Drive ongoing operations improvements through process innovation, automation, and the adoption of AI-powered tools to increase productivity and transform workflows
• Maintain scalable documentation and support coordination with offshore production teams and cross-functional partners across time zones

Requirements

• 6+ years of experience in B2B marketing operations/technology or a related program management role in a high-growth technology environment
• 3+ years of experience working day-to-day on marketing automation platforms, CRM platforms, audience targeting and personalization, marketing campaign measurement, account-based marketing, and online events (webinars)
• 3+ years of experience in end-to-end program management of cross-functional marketing, sales, and engineering initiatives
• Experience building AI agents, including examples of agents you have deployed and examples of ways you are using AI on a daily basis beyond chat
• 3+ years of experience doing your own analysis using queries, dashboards, and AI and partnering with analysts and data scientists for more complex analytics needs
• 3+ years of experience defining your own scope and goals and collaborating with a distributed, global team to deliver on them
• Excellent written and verbal communication skills, including the ability to convey complex operational concepts to diverse stakeholders across marketing, sales, and engineering

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$225K – $285K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts
• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)
• 401(k) retirement plan with employer match
• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)
• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees
• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)
• Mental health and wellness support
• Employer-paid basic life and disability coverage
• Annual learning and development stipend to fuel your professional growth
• Daily meals in our offices, and meal delivery credits as eligible
• Relocation support for eligible employees
• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

About the Team

OpenAI's Compute organization builds and operates the infrastructure that powers frontier AI training and inference. Our data center engineering teams develop the technical standards and infrastructure required to deploy compute at unprecedented scale across both self-built and partner-operated environments.

We work across civil, structural, mechanical, electrical, construction, and infrastructure delivery to develop data center designs that are reliable, scalable, and optimized for speed.

About the Role

We are seeking a Data Center Design Manager to coordinate the design and delivery of infrastructure for large-scale AI deployments.

You will bring engineering disciplines and external design partners together to translate infrastructure requirements into coordinated, buildable design packages. You will manage design milestones, resolve cross-discipline interfaces, and keep technical decisions aligned with project requirements.

Working with engineering, construction, commissioning, operations, and hardware teams, you will help preserve design intent from early planning through construction and turnover. The focus is design execution, technical coordination, and clear ownership of design decisions.

Key Responsibilities

• Manage design scope, deliverables, milestones, and dependencies from concept development through detailed design and construction support.
• Coordinate civil, structural, architectural, mechanical, electrical, controls, and physical network interfaces across data center buildings and campuses.
• Translate owner and hardware requirements into coordinated design criteria, working with discipline leads to resolve gaps and competing requirements.
• Lead multidisciplinary design reviews; track comments, decisions, technical risks, and actions through resolution before design release.
• Evaluate design changes with engineering and delivery partners, making impacts on reliability, safety, cost, schedule, and maintainability clear.
• Coordinate external architects, engineering consultants, developers, and equipment suppliers to maintain design quality and meet agreed deliverables.
• Partner with construction and commissioning teams on constructability, sequencing, RFIs, submittals, field issues, and design changes.
• Maintain design documentation and handoff requirements, and incorporate field and operational lessons into reusable standards and reference designs.

Qualifications

• Bachelor's degree in engineering, architecture, or a related discipline, or equivalent practical experience.
• Experience managing multidisciplinary design for data centers, mission-critical facilities, or comparable complex infrastructure.
• Technical understanding of data center infrastructure and the interfaces among power, cooling, controls, structures, and physical networks.
• Experience taking coordinated design packages from early planning through detailed design and construction support.
• Experience coordinating external design consultants, engineering specialists, and construction partners.
• Ability to read technical drawings and specifications, identify interface gaps, and work with discipline experts to resolve them.
• Strong written and verbal communication, disciplined issue tracking, and sound judgment when balancing technical requirements with delivery constraints.

Preferred Skills

• Experience with hyperscale data centers, high-density AI or HPC infrastructure, or other rapidly evolving mission-critical environments.
• Familiarity with liquid cooling, high-density power distribution, and the integration of changing compute hardware requirements into facility designs.
• Experience managing design reviews, quality checks, and technical change control across concurrent projects.
• Experience with modular or prefabricated infrastructure and design approaches that improve constructability and deployment speed.
• Familiarity with BIM, model coordination, clash detection, and engineering document-control tools.
• Experience supporting commissioning readiness, as-built documentation, and handoff to operations.
• Experience adapting reference designs and engineering standards to site-specific constraints across a portfolio.
• Professional engineering or architecture licensure, or relevant design and project management credentials.

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We are seeking a product-focused Technical Program Manager to drive the Extensibility program across the Workflows, Custom Objects, and Scripts workstreams.

This is a newly created, high-impact role at the intersection of platform engineering, product management, and cross-organizational program ownership. In this role, you will own one of the most strategically consequential programs in DEeP , driving the direction, health, and outcomes of Stripe's Extensibility platform across Scripts, Custom Objects, and Workflows.

You will set the program strategy in partnership with DEeP leadership, holding organizations accountable to the success of the program.

Responsibilities:

• Drive cross-org decisions across DRIs in Script Platform, Custom Objects, Apps, SDK, Observability, DevEx, and Versioning , actively resolving the hard, ambiguous integration and ownership questions that fall between team boundaries.
• Own the critical path to major launches , proactively shaping scope, driving descope decisions, and negotiating trade-offs across teams so that launches reflect deliberate strategic choices.
• Influence and shape product and engineering roadmaps , bringing a program-level perspective to team planning cycles, pushing back where individual team roadmaps are misaligned with broader extensibility strategy, and advocating for cross-cutting investments that no single team will prioritize on their own.
• Support ProServ and Partnerships , Ensure ProServ and Partnerships requirements are surfaced into the roadmap with the same rigor as product requirements, and hold the bridge between what the platform delivers and what those teams need to close and serve complex customers.

Qualifications

Minimum requirements

• 5+ years of technical program management experience with demonstrated success in driving complex cross organizational programs.
• Strong product sense and ability to understand enterprise customer needs
• Demonstrated ability to communicate with precision and credibility across engineering, product, and executive audiences, translating complex technical trade-offs into strategic decisions, and driving alignment.
• Demonstrated ability to lead and align cross-functional teams , driving decisions, resolving conflict, and building consensus across organizations with competing priorities
• Proven track record of successful program delivery in complex technical environments
• Bachelor's degree or equivalent practical experience

Preferred Qualifications

• Background in product management or product operations
• Experience with developer platforms, API products, or payment systems

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The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The compensation tier is $176K – $385K, which includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits:

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts
• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)
• 401(k) retirement plan with employer match
• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)
• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees
• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)
• Mental health and wellness support
• Employer-paid basic life and disability coverage
• Annual learning and development stipend to fuel your professional growth
• Daily meals in our offices, and meal delivery credits as eligible
• Relocation support for eligible employees
• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

Key Responsibilities

• Work in partnership with the local Community Engagement Lead to build and manage relationships with community colleges, technical schools, universities, career and technical education programs, and local workforce boards.
• Work with building trades unions and joint apprenticeship and training committees to expand training opportunities aligned with project needs both on a local and national level.
• Partner with OpenAI’s infrastructure teams, developers, contractors, and operators to identify job requirements, skills gaps, and hiring timelines across construction, commissioning, and operations.
• Work with educators and technical experts to develop or adapt curricula, hands-on training, and credential programs that reflect employer requirements and offerings available through OpenAI’s literacy programs.
• Support apprenticeships, internships, and other work-based learning opportunities with participating employers.
• Manage program implementation, including timelines, partner responsibilities, and progress against agreed goals.
• Track participation, completion, credential attainment, job placement, and retention, working with partners to use the results to improve programs.
• Partner with the local Community Engagement Lead to identify workforce grants and other funding opportunities, and help education and training partners pursue relevant support.
• Represent OpenAI on local workforce advisory councils and in meetings with education, labor, and community partners, in partnership with the Community Engagement Lead.
• Manage the program operations and administrative tasks needed to run a successful workforce development program within our data center communities.

Qualifications

• Seven or more years of experience in workforce development, technical education, apprenticeship programs, or education–industry partnerships.
• Bachelor’s degree in education, instructional design, workforce development, engineering technology, or a related field, or equivalent professional experience.
• Experience developing and delivering technical training programs with employers and education providers.
• Experience working with trade unions, apprenticeship programs, and labor leaders.
• Ability to work with technical experts to translate job requirements into clear learning objectives and practical training.
• Experience managing programs with multiple partners, competing priorities, and defined deadlines.
• Strong written and verbal communication skills, including experience working with educators, public officials, labor representatives, and technical leaders.
• Experience evaluating program outcomes and using findings to improve delivery.
• Experience in operating with ambiguity and building successful programs from the ground up, with responsible scalability in mind.

Preferred Skills

• Experience in data centers, telecommunications, semiconductor manufacturing, energy, or other industries with substantial technical workforce needs.
• Familiarity with training and credentials relevant to data center careers, such as OSHA 30-hour and NFPA 70E safety training, Schneider Electric DCCA, BICSI cabling credentials, CompTIA certifications, and EPA Section 608 certification for refrigerant work.
• Experience with workforce funding sources, including Workforce Innovation and Opportunity Act programs, apprenticeship grants, and state workforce or community college grants.
• Experience helping local residents enter skilled trades and technical careers through community-based education and training partnerships.

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Stripe is a financial infrastructure platform for businesses. Millions of companies,from the world’s largest enterprises to the most ambitious startups,use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead.

The Product Design team is made up of several groups that define, create, and deliver all user-facing aspects of Stripe’s brand and product. Product Designers are strategic partners to Engineering and Product Management within their product area. In close collaboration with product teams, they shape user experiences, then translate them into high-quality designs that can be tested, shipped, and refined.

The Terminal design team crafts product experiences that empower users to configure and manage in person payments. This team transforms the intricate world of payments into intuitive solutions, letting users focus on growing their businesses.

As a product designer, you’ll work closely with the product manager and engineering team to envision payments features in the Stripe Dashboard and our end-user-facing surfaces and partner with go-to-market teams to bring them to users. That includes new feature development, product quality improvements to our most frequently used workflows, and setting vision for our products to meet new user expectations in an increasingly data and AI-driven world.

Responsibilities

• Understand user workflows and pain points, and produce, test, and iterate on high-quality designs to solve user needs
• Partner closely with product, engineering, marketing, and strategy partners to define a north star and product experience for new features
• Prototype user experiences for user research testing and internal communication
• Collaborate with teams across Stripe to craft a seamless dashboard user experience
• Conduct user research to test design decisions before shipping
• Collaborate with our design systems teams to leverage and improve page templates and components

Who you are

We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply.

Minimum requirements

• Has 4+ years relevant design experience at a product-driven tech company
• Has strong craft demonstrated through a portfolio of work
• Has demonstrated skills in prototyping at a high fidelity
• Has experience collaborating closely with engineering teams
• Has excellent written and verbal communication skills, demonstrated through design deliverables, videos, and written artifacts

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Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead.

As a Specialist Solutions Architect (SSA), you will be a domain expert aligned to specific Stripe solutions and customer buying centers. You will have in-depth knowledge of specific solution offerings and a deep understanding of customer challenges.

You will collaborate closely with sales and pre-sales teams to drive pipeline and revenue targets, while also educating the product and engineering teams on market trends and strongly influencing the product roadmap. You will develop deep relationships with senior customer business leaders and grow Stripe's solution offerings with new and existing customers.

As a subject matter expert, you will scale the broader organization by creating reusable assets and coaching others on complex, high-value opportunities. The team is looking for an online payments specialist with a proven track record of designing checkout experiences and payment flows for B2C and B2B enterprises.

You will engage with Stripe's customers as a thought leader in the conversion optimization space, helping them understand how Stripe Link,Stripe's one-click checkout network,can reduce cart abandonment, improve returning customer conversion, and create a more seamless payments experience at scale.

Responsibilities

• Act as a subject matter expert on Stripe Link to accelerate opportunities globally
• Demonstrate a deep understanding of checkout optimization, network-based authentication, and the business impact of saved payment methods on conversion
• Develop expertise with Stripe's Link integration patterns,including embedded checkout, Stripe.js, and direct API flows,and guide customers through key implementation decisions
• Advise customers on how Link interacts with the broader Stripe platform (Radar, Billing, Connect) to deliver compounding value across their payment stack
• Define, share, and learn best practices and reusable assets with the broader GTM organization to enhance the quality and efficiency of the team
• Create reference architectures that help customers visualize end-to-end checkout and conversion improvements
• Partner closely with the Payments product sales team on Stripe's most strategic Link opportunities, leading solution strategy and owning key customer relationships
• Partner closely with the Link product team to get early exposure to new features
• Serve as a "Voice of the Customer" internally to drive product and feature request prioritization
• Identify and summarize trends in checkout UX, wallets, passkeys, and network-based authentication, and provide actionable insights to product stakeholders and sales
• Act as an escalation point to drive complex technical issues to resolution with Stripe's engineering team
• Stay current on competitive analysis and market differentiation
• Support marketing events including executive briefings, conferences, user groups, and trade shows
• Approximately 25% travel is anticipated

Minimum Requirements

• 7+ years of experience in a pre-sales, solutions architecture, or technical consulting role focused on online payments or e-commerce
• Strong working knowledge of checkout optimization, including conversion metrics, cart abandonment, and the UX and technical levers that influence them
• Familiarity with payment authentication standards (3DS, passkeys, network tokenization) and their impact on authorization rates
• Experience designing payment flows and integrations for large enterprises, including multi-market and multi-currency scenarios
• Strong knowledge of software engineering and API integration patterns
• Exceptional communication, presentation, and interpersonal skills, comfortable explaining complex concepts to both technical and non-technical audiences
• A proven ability to build strong collaborative working relationships with business partners
• Ability to deal effectively with ambiguity and thrive in an unstructured, fast-moving environment

Preferred Qualifications

• Experience integrating Stripe or other RESTful APIs into web applications
• Experience with A/B testing or analytics frameworks for checkout optimization
• Familiarity with wallet and one-click checkout ecosystems (Apple Pay, Google Pay, PayPal, Shop Pay)
• Experience as a subject matter expert in a relevant industry, vertical, or product

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Stripe is seeking an experienced Recruiting Manager to lead a team of Go-To-Market (GTM) Recruiters. As a GTM Recruiting Manager, you will oversee the development and direct management of a group of recruiters, lead cross-functional projects, and manage performance metrics.

Responsibilities

• Lead and Develop a Team: Guide a team of full-cycle GTM recruiters to ensure exceptional performance, enhance their recruiting skills, and support their professional growth.
• Strategic Partnership: Collaborate closely with senior GTM leaders to understand their hiring needs and develop tailored recruiting strategies that meet headcount targets effectively.
• Cross-Functional Collaboration: Work with departments such as Finance, People Operations, Benefits, Onboarding, and Legal to ensure a high-quality and cohesive candidate experience.
• Talent Pipeline Development: Regularly cultivate a robust pipeline of high-quality candidates by driving initiatives in employer branding, events, and employee referrals.
• Data-Driven Insights: Provide timely reporting of key metrics and insights to inform decision-making, optimize processes, and enhance overall recruiting effectiveness.

Requirements

• 5+ years of experience in recruiting management, with a preference for in-house recruitment experience.
• Proven track record of partnering effectively with hiring teams throughout the recruiting process; acting as a trusted advisor and strategic partner to drive hiring success.
• Passionate about mentoring recruiters, providing them with coaching and guidance; invigorated by the opportunity to help your direct reports reach their full potential.
• Capable of navigating fast-paced environments and providing clarity in ambiguous situations for the team.
• Strong drive to identify and engage top talent, fostering relationships with candidates.
• Excellent communication skills, enabling effective connections with individuals at all levels.
• Exceptional teamwork abilities and proficiency in managing multiple tasks simultaneously.
• Experience thriving and prioritizing tasks in dynamic, ever-changing environments.

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The Builder Experience Team at Stripe makes it easier for product teams to build the right products, ship them with confidence, and help users realize value from them.

As a Full Stack Engineer on this team, you will identify high-friction parts of Stripe's product-development lifecycle, rapidly prototype new approaches, put them in the hands of real teams, and turn the strongest experiments into scaled solutions used by every product team at Stripe.

Your responsibilities will include:

• Designing and building tools that help Stripe teams shape better products, ship with greater speed and confidence, and learn from users more quickly.
• Developing AI-native workflows and agents that synthesize context, automate repetitive work, surface risks, and help builders make better decisions.
• Owning projects end to end: identifying high-value problems, developing prototypes, testing them with users, measuring their impact, and scaling the approaches that work.
• Working across backend systems, data sources, internal platforms, and polished user-facing experiences.
• Partnering directly with product managers, engineers, designers, researchers, and cross-functional teams to understand how work happens in practice.
• Integrating with platforms such as Kai and Compass while identifying where new foundational capabilities are needed.
• Applying strong judgment to the use of sensitive internal context, including appropriate attention to security, privacy, permissions, and user trust.
• Helping define how the team operates, including its technical foundations, product-development practices, and standards for experimentation and quality.
• Contributing to the team's roadmap by identifying systemic sources of friction and opportunities to improve Stripe's product-development lifecycle.

Requirements

You will need:

• 5+ years of backend and/or full-stack software development experience
• Demonstrated technical experience leading the design and delivery of new product experiences from prototype to production
• Strong full-stack engineering skills, including experience building reliable backend services and polished user-facing product experiences
• Ability to operate effectively in high-ambiguity environments: framing problems, experimenting & adjusting, making right-sized technical decisions, and creating an actionable path forward
• Excellent cross-functional and cross-organizational collaboration skills, with the ability to align teams with different systems, priorities, and constraints
• Strong engineering judgment around system reliability, operational excellence, security, and maintainability
• A product-minded approach to engineering, with a focus on delivering meaningful outcomes for users and the business

Preferred Qualifications

We'd love to see:

• Experience with Java, Ruby, and/or TypeScript
• Experience delivering user-facing products at Stripe (Payments, MM, RevSuite, etc), or experience delivering user-facing products pre-dating Stripe
• Experience working on 0→1 products or taking new capabilities from concept through launch and iteration

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Stripe is a financial infrastructure platform for businesses. Millions of companies,from the world’s largest enterprises to the most ambitious startups,use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead.

The Mobile Development Productivity team makes building, testing, and releasing Stripe’s mobile applications and device-integrated software fast, reliable, and secure. The team owns the mobile development platform end to end, including development environments, simulators and emulators, continuous integration, automated testing, builds, and releases.

You will lead the Mobile Development Productivity engineering team and set the technical strategy for the platform Stripe engineers use to build mobile applications and device-integrated software. You will work with engineers and leaders across mobile product and infrastructure teams to identify shared development challenges, align priorities, and translate a long-term technical vision into focused plans for your team.

Responsibilities

• Lead, support, and grow a team of engineers by hiring, coaching, mentoring, and creating opportunities for development
• Define the team’s technical strategy, goals, and roadmap, translating organizational priorities and internal user needs into clear execution plans
• Partner with mobile product teams, infrastructure teams, and technical leaders to identify shared development challenges and align stakeholders around reusable solutions
• Collaborate with staff engineers on architecture and strategic technical decisions across development environments, continuous integration, automated testing, and secure build and release systems
• Establish high standards for reliability, security, engineering craft, and operational rigor across the systems the team owns
• Improve the experience of mobile engineers and AI agents by using measures of developer productivity, build and test performance, and release health to guide investments
• Work effectively with geographically distributed colleagues to maintain alignment, visibility, and clear ownership across teams

Requirements

• 8+ years of software development experience, including 3+ years of engineering management experience
• Experience leading teams that build platforms, frameworks, infrastructure, or tools used by other engineers
• Demonstrated ability to define technical strategy, guide architecture decisions, and translate ambiguous goals into a clear roadmap and execution plan
• Proven success hiring, coaching, and developing engineers while fostering an inclusive, challenging, and supportive work environment
• Ability to align and influence cross-functional stakeholders without direct authority, communicate clearly across varied audiences, and coordinate difficult decisions and tradeoffs

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Responsibilities:

• Own Workday configuration and improvements across Absence, Time Tracking, and Benefits
• Design and maintain absence plans, accruals, eligibility rules, leave processes, time entry rules, calculations, validations, and approvals
• Partner with Payroll systems owner to ensure accurate data flow into payroll
• Independently own US and international benefits configuration
• Lead open enrollment systems readiness, configuration, testing, launch, and support
• Lead Absence, Time Tracking, and Benefits systems work for new countries and entities, policy changes, and evolving employee needs
• Own projects from discovery to adoption, and stay accountable for solution performance
• Partner with engineers to improve integrations and build automation or AI-assisted workflows
• Maintain system security, data quality, reporting, and change controls
• Resolve production issues and address underlying causes
• Create clear documentation and training for employees, managers, and People teams

Requirements:

• Deep, hands-on Workday expertise across Absence and Time Tracking
• Demonstrated experience independently owning Workday Benefits configuration for US and international programs
• Understanding of how time, absence, and benefits data flows into payroll and other downstream systems
• Experience translating complex policies and business requirements into maintainable system designs
• Strong Workday technical skills, including business processes, calculated fields, reporting, security, and data loads
• Ownership of systems through implementation and ongoing operations
• Good product judgment and clear communication

Benefits:

• $187K – $280K salary
• Generous equity
• Performance-related bonus(es) for eligible employees
• Medical, dental, and vision insurance for you and your family
• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses
• 401(k) retirement plan with employer match
• Paid parental leave, paid medical and caregiver leave
• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees
• 13+ paid company holidays
• Mental health and wellness support
• Employer-paid basic life and disability coverage
• Annual learning and development stipend
• Daily meals in offices and meal delivery credits
• Relocation support for eligible employees

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The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The salary range for this role is $231.3K - $256.5K per year, with additional compensation including generous equity, performance-related bonuses, and benefits.

Benefits include:

• Medical, dental, and vision insurance for you and your family
• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses
• 401(k) retirement plan with employer match
• Paid parental leave, medical and caregiver leave
• Flexible PTO and paid company holidays
• Mental health and wellness support
• Employer-paid basic life and disability coverage
• Annual learning and development stipend
• Daily meals in offices and meal delivery credits
• Relocation support for eligible employees

About the Team

OpenAI's Vendor Security team helps internal teams work securely with external products, services, and partners. The team builds programs and products to understand vendor risk and implement effective safeguards.

About the Role

We are looking for a Vendor Security Technical Program Manager to lead vendor-security engagements, make sound security decisions, and turn recurring vendor-security problems into tools and practices that work.

Responsibilities:

• Own vendor security engagements from start to finish
• Understand vendor use cases, workflows, and data flows
• Assess architectures, configurations, and controls
• Develop practical treatments and drive implementation
• Build reusable security patterns
• Work with Legal, Procurement, and vendors on security addenda
• Learn from internal customers and define program requirements
• Use Codex or comparable AI-assisted tools to improve processes
• Lead delivery across Security and partner teams

Requirements

• Experience assessing consequential third-party security risks
• Understanding of security principles and controls
• Knowledge of relevant frameworks and standards (e.g. ISO 27001, NIST 800-53)
• Ability to translate security findings into practical contractual positions
• Experience delivering cross-functional programs and adapting priorities
• Strong communication and relationship-building skills

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You’ll own second-line oversight of Stripe’s U.S. BaaS products and bank-fintech partnerships. The work is practical and cross-functional: turn federal and state requirements and supervisory expectations into clear policies, controls, monitoring, evidence, and ownership.

Responsibilities

• Own the second-line compliance framework for Stripe’s U.S. BaaS products (i.e., Capital, Issuing, and Treasury) and bank-fintech partnerships. Make sure responsibilities are clear across Stripe, sponsor banks, program managers, processors, and other partners.

• Turn U.S. federal and state laws, guidance, enforcement actions, and supervisory expectations into practical policies, product requirements, controls, procedures, evidence standards, and monitoring.

• Set and oversee controls for BSA/AML, customer identification and verification, customer due diligence and beneficial ownership, transaction monitoring, suspicious activity escalation, sanctions screening, and recordkeeping.

• Oversee consumer and lending compliance for BaaS products, including UDAAP; Regulations E, Z, B, and DD; fair lending; FCRA; SCRA; FDCPA; complaints and disputes; adverse action; collections; marketing and disclosures; fees; account restrictions; and account closures.

• Oversee deposit-product compliance, including FDIC insurance representations, Reg CC, pass-through insurance requirements, pooled or custodial structures, customer-level records, ledger integrity, reconciliation, and access to funds.

• Define compliance expectations for privacy, cybersecurity, incident escalation, operational resilience, business continuity, data access, record retention, and an orderly wind-down of BaaS programs.

• Provide second-line oversight on behalf of sponsor banks and other BaaS partners through risk assessments, due diligence, contract requirements, control testing, performance and complaint monitoring, issue management, and exit planning.

• Review new U.S. BaaS products and material changes. Identify applicable obligations, control gaps, licensing implications, and launch conditions, then drive remediation to closure with clear owners.

• Keep pace with U.S. BaaS regulatory developments and enforcement trends, assess what they mean for Stripe, and coordinate timely changes with first-line teams.

• Help Stripe prepare for and respond to U.S. regulatory exams, supervisory engagements, audits, and formal commitments. Maintain defensible obligation mappings and evidence, identify gaps, and oversee remediation.

• Work closely with Product, Legal, Risk, Engineering, Operations, Internal Audit, sponsor-bank teams, and other specialists. Clarify ownership, challenge control design and execution, and give leaders a clear view of risk and progress.

Requirements

• At least 7 years of experience in U.S. banking, fintech, or financial-services compliance, including substantial work with BaaS, bank-fintech partnerships, embedded finance, or deposit, card, payment, or lending products.

• A deep understanding of the U.S. regulatory framework for BaaS and how responsibilities are divided among sponsor banks, fintechs, program managers, processors, and other service providers.

• Hands-on expertise across several relevant areas, such as BSA/AML and sanctions, consumer financial protection, fair lending, deposit and FDIC insurance requirements, third-party risk, complaints and disputes, privacy and cybersecurity, ACH or card programs, and state money transmission or lending requirements.

• A track record of turning complex U.S. legal and regulatory requirements into practical policies, product requirements, controls, procedures, monitoring, testing, and evidence.

• Experience with the full compliance control lifecycle: assessing risk and obligations, designing and implementing controls, documenting decisions, testing or monitoring, managing issues, overseeing remediation, and reporting to governance forums.

• Experience reviewing new products and material changes, as well as supporting regulatory change, licensing analysis, exams, audits, enforcement remediation, or commitments to regulators and Boards.

• Sound judgment, especially when ownership, regulatory precedent, or operating boundaries are not clear. You know how to separate second-line oversight from first-line execution and still move the work forward.

• The ability to influence and coordinate across Compliance, Legal, Product, Engineering, Risk, Operations, Internal Audit, sponsor banks, and senior stakeholders without relying on formal authority.

• Clear, concise writing and strong documentation skills. You can explain complex BaaS requirements and control decisions to technical, business, governance, partner-bank, and regulatory audiences.

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Stripe is a financial infrastructure platform for businesses. Millions of companies,from the world’s largest enterprises to the most ambitious startups,use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet.

The global demand campaigns team at Stripe delivers marketing campaigns that drive awareness and engagement for our audiences, solutions, and products worldwide. You will quarterback the integrated campaign strategies, plans, and playbooks focused on Stripe’s stablecoin and crypto products.

Responsibilities

• Own the overall campaign strategy and plan for Stripe’s stablecoin and crypto products, and drive the global, cross-functional workstream for activation and impact
• Partner with comms, product marketing, channel teams, regional and field marketing, partner marketing, sales teams, and more to define and implement campaigns
• Work with regional marketing to ensure local relevance and advise on campaign delivery
• Use your multi-channel expertise to deliver campaigns via digital, web, email, online events, direct mail, social, events, sales plays, and more
• Partner with product marketing and content/editorial teams to develop compelling, relevant campaign materials and content sets
• Use and/or recommend leading tools to improve or accelerate the work of the campaigns function
• Act as an expert for your owned audience/solution to champion market trends, competitive context, and customer insights
• Track, analyze, and report on campaign performance metrics with a focus on lead generation, pipeline, and target account penetration

Requirements

• 8+ years of enterprise B2B marketing experience that includes some mix of integrated campaigns, content marketing, regional/field marketing, and/or account-based marketing
• Exceptional knowledge of fintech industry landscape, trends, and technology
• Proven expertise in partnering with regional marketing and sales teams to build, grow, and develop pipeline
• Analytical acumen, with the ability to build, interpret, and adjust measurement tools and data
• Exceptional presentation, writing, and communication skills, especially to executive stakeholders

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As Head of Business Development, Listings, you'll help shape the growth of LTSE by connecting companies with a public market built around long-term value creation. You'll engage directly with CEOs, C-suite leaders, and Boards of Directors, building trusted relationships and helping them see how an LTSE listing can advance their strategic ambitions. You'll help translate a differentiated vision for the public markets into a compelling business case, and guide prospective clients from an initial conversation to a listing decision. You'll have room to shape the business development strategy and take a hands-on role in bringing it to life: opening doors, building pipelines, and navigating complex sales cycles. Working within a small, collaborative team, your ideas, relationships, and execution will directly influence LTSE's growth.

Duties & Responsibilities

• Develop and execute a targeted business development business plan for publicly listed companies, prioritizing prospects whose strategic objectives align with LTSE's value proposition and building a qualified pipeline of listing opportunities.
• Establish and deepen relationships with CEOs, C-suite leaders, Boards of Directors, and other key decision-makers, uncovering business priorities, addressing objections, and securing clear next steps that advance listing decisions.
• Own a disciplined and transparent pipeline process, maintaining accurate prospect information, defined milestones, actionable account plans, and realistic forecasts to support accountability and effective resource allocation.
• Convert new and existing relationships into listing commitments by developing tailored business cases, navigating multiple stakeholders, and coordinating internal expertise throughout the sales process.
• Partner with Marketing to sharpen prospect targeting, strengthen LTSE's visibility and credibility with prospective issuers, and develop messaging, materials, and campaigns that support measurable business development outcomes.
• Systematically share prospect feedback, competitive insights, and barriers to adoption with the LTSE team to inform positioning, products, services, and commercial priorities.
• Oversee prospect research efforts to ensure comprehensive, accurate, and timely insights that support pipeline development and prospect engagement.

Required Skills & Abilities

• Bachelor's degree or equivalent combination of relevant education and professional experience.
• Minimum 15 years of progressively responsible experience in business development, institutional sales, equity capital markets, or a related field, including demonstrated success originating and closing complex opportunities with senior corporate decision-makers.
• Experience managing extended sales cycles involving multiple stakeholders, with clear evidence of personally building pipeline and converting relationships into measurable commercial results.
• Financial services or capital markets experience preferred, particularly experience working with public companies, corporate leadership teams, boards, or their advisors on strategic decisions.
• Established network of relevant corporate leaders and advisors.
• Experience building or expanding a business development function within a small or growing organization is preferred.

Benefits

• Drive Innovation. Make an impact working with a mission-driven company that shares your desire to create a new kind of public market.
• Meet Great People. Work with skilled, committed, and supportive teammates, that have a commitment to diversity, equity, and inclusion.
• Achieve Balance. Enjoy the LTSE commitment to a sustainable remote-first work environment, including a flexible vacation policy.
• Prioritize Health. Take charge of your health with rich medical, dental, vision, and EAP benefits. 100% of employee costs are sponsored by LTSE and there is a small, fixed employee contribution for dependent costs.
• Focus on Family. All new parents receive up to 4 months of caregiver leave including 8 weeks of full salary continuation, all while keeping your full company-sponsored benefits for up to the full 4 months.
• Foster Holistic Wellness and Growth. Receive reimbursements for up to $2000 worth of physical fitness, mental health and wellness, family care, pet care, and learning and development purchases and/or charitable giving annually with our Lifestyle Spending Accounts.
• Get Set Up for Success. Launch quickly with your company provided laptop, cell phone reimbursement, and $500 home-office stipend.
• Invest in Savings. Enroll in our 401k program offered through Human Interest, and other benefit programs offered through Gusto.
• Take Ownership. Full-time employees receive LTSE equity options in both of our entities, with a generous exercise period for those who reach a 2-year milestone.

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As an Offensive Security Engineer on the Proactive Threat team, you will simulate the tactics, techniques, and procedures (TTPs) of real-world adversaries to uncover security risks across Stripe's products and infrastructure.

You will conduct hands-on penetration testing, lead red team engagements, and collaborate with blue team counterparts to validate and improve detection and response capabilities.

Your work will directly influence how Stripe builds, ships, and secures financial infrastructure used by millions of businesses worldwide.

Beyond assessments, you will design and build offensive tooling and automation that amplifies the team's impact.

You will leverage threat intelligence to prioritize testing efforts, contribute to incident investigations when needed, and act as a subject-matter expert for security initiatives across the company.

Responsibilities

• Conduct comprehensive penetration tests across web applications, APIs, cloud environments (AWS/GCP/Azure), mobile applications, and internal infrastructure
• Plan and execute red team engagements that emulate the TTPs of cyber and criminal threat actors targeting financial services
• Perform assumed-breach and objective-based assessments to test detection and response capabilities in coordination with defensive teams
• Partner with detection engineering, threat intelligence, and incident response teams to validate security controls, identify coverage gaps, and improve detection fidelity
• Contribute adversary tradecraft insights to inform detection rule development, threat hunting hypotheses, and incident response playbooks
• Support incident investigations by providing offensive expertise, log analysis, and root cause analysis when required
• Design, develop, and maintain custom offensive tools, scripts, and automation frameworks to enhance assessment efficiency and coverage
• Build internal platforms and workflows that enable scalable, repeatable offensive operations
• Contribute to internal security tooling repositories and champion engineering best practices within the team
• Automate repetitive testing tasks, payload generation, and reporting workflows using modern development practices
• Produce clear, actionable reports that communicate technical findings, business risk, and remediation guidance to both technical and non-technical stakeholders
• Act as a subject-matter expert and primary point of contact for stakeholder teams engaged in offensive security programs and Stripe-wide security initiatives
• Lead offensive security projects end-to-end, mentor junior team members, and foster a culture of continuous learning and knowledge sharing
• Stay current with emerging threats, vulnerabilities, and attack techniques; share research internally and contribute to the broader security community

Requirements

• 5+ years of experience in offensive security, penetration testing, red teaming, or a related field
• Strong programming skills in Python, Go, or similar languages, with demonstrated experience building tools, automation, or custom exploits
• Deep knowledge of web application security, including OWASP Top 10, ASVS, and common vulnerability classes
• Hands-on experience with cloud platforms (AWS, Azure, or GCP), including cloud-native attack techniques and misconfigurations
• Proficiency with offensive tooling such as Burp Suite, Cobalt Strike, Mythic, Sliver, BloodHound, or similar frameworks
• Familiarity with adversary tradecraft and frameworks such as MITRE ATT&CK
• Excellent written and verbal communication skills, with the ability to translate complex technical findings into clear, risk-based recommendations
• Ability to think like an adversary , creative, persistent, and able to holistically assess risk in complex environments

Preferred Qualifications

• Experience conducting offensive security in fintech, financial services, or other highly regulated environments
• Background in vulnerability research, exploit development, or CVE discovery
• Experience collaborating with threat intelligence, detection engineering, or incident response teams (purple team operations)
• Familiarity with big data and log analysis tools (Splunk, Databricks, PySpark, osquery, etc.) for threat hunting or investigative support
• Proficiency with AI/LLM-assisted development tools (e.g., Claude Code, Cursor, GitHub Copilot) and experience applying them to offensive security workflows
• Interest or experience in agentic automation , using LLMs or autonomous agents to augment reconnaissance, vulnerability discovery, or exploitation workflows
• Experience testing AI/ML systems or LLM-based applications for security weaknesses
• Contributions to open-source security tools, published research, blog posts, or conference presentations
• Relevant certifications such as OSCP, OSWE, OSEP, OSED, CRTO, CPTS, PNPT, GXPN, or cloud security certifications

Location

This role is remote within the United States.

Compensation & Benefits

The annual US base salary range for this role is $170,400 – $255,700.

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This role will translate environmental priorities and external commitments into practical operating requirements across site selection, data center design, construction, equipment procurement, deployment, and ongoing operations. You will build the frameworks, metrics, governance, and cross-functional programs required to improve environmental performance while preserving the speed, reliability, and scalability demanded by OpenAI's infrastructure roadmap.

The role will partner closely with infrastructure operations, site development, engineering, construction, power, hardware, supply chain, finance, legal, public policy, government affairs, communications, and external infrastructure partners.

Key Responsibilities

• Develop and maintain a comprehensive sustainability strategy for OpenAI's global compute infrastructure.
• Translate sustainability objectives into actionable requirements for site selection, design, construction, procurement, commissioning, and operations.
• Establish decision frameworks that balance environmental impact with infrastructure reliability, deployment speed, cost, and scalability.
• Develop strategies addressing operational and embodied carbon, water stewardship, materials, construction impacts, waste, circularity, and equipment lifecycle management.
• Partner with data center engineering and operations teams to identify practical improvements in infrastructure efficiency, resource use, resilience, and operational performance.
• Incorporate sustainability considerations into self-build, colocation, cloud, and strategic infrastructure-partner decisions.
• Establish measurable goals, operating metrics, dashboards, and governance mechanisms for infrastructure sustainability programs.
• Improve the quality, consistency, and auditability of environmental and operational data across internal teams and external partners.
• Work with hardware, manufacturing, and supply chain teams to develop supplier requirements and lifecycle strategies for infrastructure equipment.
• Evaluate emerging technologies, design approaches, and operating practices and determine which should move from pilot programs into scaled deployment.
• Develop business cases that clearly communicate environmental impact, implementation requirements, cost, schedule, and operational tradeoffs.
• Partner with Public Policy and Government Affairs on infrastructure-related sustainability positions, regulatory developments, and external engagement.
• Represent OpenAI in conversations with infrastructure partners, industry organizations, policymakers, community stakeholders, and other external parties.
• Provide executive leadership with clear assessments of progress, material risks, strategic choices, and recommended actions.
• Build repeatable playbooks that allow sustainability practices to scale across sites, geographies, infrastructure partners, and technology generations.

Qualifications

• 12+ years of experience in sustainability, infrastructure operations, environmental strategy, data center infrastructure, the built environment, or a related field.
• Experience leading sustainability or operational-improvement programs across a large, complex, and geographically distributed organization.
• Demonstrated ability to translate high-level environmental objectives into practical engineering, procurement, construction, and operational requirements.
• Strong understanding of carbon, water, materials, waste, circularity, and lifecycle considerations within physical infrastructure.
• Experience building metrics, governance systems, and executive reporting for complex operational programs.
• Ability to evaluate technical, financial, environmental, regulatory, and reputational tradeoffs together.
• Strong cross-functional leadership and the ability to influence senior stakeholders without relying on direct authority.
• Experience working with external partners, suppliers, regulators, policymakers, or industry organizations.
• Excellent written and verbal communication, including the ability to make complex subjects clear and decision-ready for executives.
• Comfort operating in a fast-moving environment with incomplete information, changing priorities, and significant external scrutiny.

Preferred Skills

• Experience with hyperscale data centers, cloud infrastructure, industrial facilities, or another power- and resource-intensive operating environment.
• Familiarity with data center design, construction, facilities operations, hardware supply chains, and infrastructure-development lifecycles.
• Experience with embodied-carbon reduction, sustainable construction materials, water-positive programs, equipment circularity, or infrastructure-efficiency initiatives.
• Knowledge of greenhouse-gas accounting, environmental disclosure frameworks, lifecycle assessment, and sustainability-related data systems.
• Experience developing external partnerships or industry initiatives that produced measurable operational outcomes.
• Familiarity with energy procurement and utility policy sufficient to partner effectively with dedicated power and energy teams.
• Experience building or leading multidisciplinary sustainability and infrastructure programs through periods of rapid organizational growth.

Compensation

• $223K – $385K • Offers Equity
• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts
• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)
• 401(k) retirement plan with employer match
• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)
• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees
• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)
• Mental health and wellness support
• Employer-paid basic life and disability coverage
• Annual learning and development stipend to fuel your professional growth
• Daily meals in our offices, and meal delivery credits as eligible
• Relocation support for eligible employees
• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

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The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The salary range for this position is $225K – $385K, and total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts
• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)
• 401(k) retirement plan with employer match
• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)
• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees
• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)
• Mental health and wellness support
• Employer-paid basic life and disability coverage
• Annual learning and development stipend to fuel your professional growth
• Daily meals in our offices, and meal delivery credits as eligible
• Relocation support for eligible employees
• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

About the Team

OpenAI is building the world’s most advanced AI infrastructure ecosystem. The Site Readiness & Development team owns the upstream diligence and development work required to convert powered-land opportunities into executable infrastructure options.

About the Role

The Development Lead owns the development path after a site clears initial screening. This role validates the viable power pathway, turns site constraints into a building-level deployment plan that makes clear when each building can deploy, and runs the phase-by-phase action list that closes the decisions, dependencies, and evidence gaps needed to make a site controllable and executable.

Key Responsibilities

• Own the stage-gate path from exclusivity and commercial terms through desktop diligence, confirmatory diligence, site closing, and handoff into design, construction, and operations.
• Validate power pathways with Power and utility partners, including service options, interconnection and delivery sequencing, readiness assumptions, schedule exposure, cost implications, and decision points.
• Turn each development phase into a disciplined action list with owners, deadlines, closure criteria, open evidence, and escalation paths; drive the list to closure rather than simply reporting status.
• Translate power, land, civil, environmental, access, entitlement, and permitting constraints into a building-level deployment plan with clear sequencing and target deployment timing for each building.
• Coordinate site access, exclusivity, LOI, commercial terms, financing assumptions, and closing requirements with Commercial, Legal, Finance, Power, Land, and other partner teams.
• Define the desktop diligence scope, expected 15–30 day deliverables, and go / no-go criteria; then govern the 90–120 day confirmatory diligence plan.
• Set and track ECDs for easements, offsite improvements, well and pipeline locating, environmental studies, water-well testing, geotechnical reports, additional land, incentives, and other site-specific workstreams.
• Scope and manage diligence vendors and consultants, keeping their outputs tied to decisions, schedule, cost, action-list closure, and residual risk.
• Maintain the integrated development schedule, budget implications, dependency tracker, risk register, mitigation plan, and executive escalation cadence.
• Deliver executive-ready advance, defer, or stop recommendations and prepare the readiness package for transition into design, construction, and operations.

Qualifications

• 6+ years in land development, infrastructure development, data center development, energy-project development, electrical, mechanical, civil or environmental engineering, or related project delivery.
• Experience advancing large-scale facility programs through early planning, power validation, phased development, site closing, and readiness handoff.
• Strong ability to evaluate power pathways and translate utility, interconnection, and delivery findings into schedule, cost, and deployment implications.
• Highly organized operator who can convert ambiguous diligence into owner-based action lists, closure criteria, critical paths, and executive decisions.

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$225K – $285K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts
• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)
• 401(k) retirement plan with employer match
• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)
• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees
• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)
• Mental health and wellness support
• Employer-paid basic life and disability coverage
• Annual learning and development stipend to fuel your professional growth
• Daily meals in our offices, and meal delivery credits as eligible
• Relocation support for eligible employees
• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

About the Team

OpenAI, in close collaboration with our capital partners, is building the world’s most advanced AI infrastructure ecosystem. The Site Readiness & Development team is responsible for translating OpenAI’s long-term infrastructure needs into executable data center capacity across self-build campuses, leased facilities, and strategic development partnerships.

The team works across capacity planning, power, land, real estate, design, construction, finance, and commercial execution to ensure the right infrastructure is available in the right locations and on the timelines required to support OpenAI’s growth.

About the Role

We are seeking a Data Center Shell Planning Lead to own portfolio-level planning for future data center shell capacity. This role will translate compute-demand forecasts, power availability, technical requirements, and development schedules into a clear strategy for where, when, and how much shell capacity OpenAI should secure or build.

You will evaluate capacity across self-build, lease, colocation, and development-partner pathways; identify future supply gaps; recommend campus and building phasing; and maintain the integrated plan connecting site readiness to construction, commissioning, and operational handoff.

This is an individual contributor lead role requiring strong analytical judgment, infrastructure-development fluency, and the ability to drive decisions across teams without relying on formal authority.

Key Responsibilities

• Develop and maintain a multi-year portfolio plan for data center shell capacity across priority geographies.
• Translate compute forecasts, IT-load requirements, rack-density assumptions, power schedules, cooling requirements, and deployment timelines into site and building requirements.
• Determine when shell capacity must be secured, designed, constructed, commissioned, and ready for technical fit-out.
• Integrate land, utility, interconnection, permitting, design, procurement, construction, commissioning, and network-readiness schedules into a single capacity view.
• Identify capacity gaps, schedule conflicts, stranded-capacity risks, and dependencies that could prevent infrastructure from becoming operational on time.
• Develop scenario models comparing self-build, lease, colocation, and strategic development-partner options.
• Evaluate delivery pathways based on schedule, cost, control, flexibility, reliability, scalability, and execution risk.
• Recommend campus, building, and utility phasing that preserves optionality while supporting near-term deployment requirements.
• Assess third-party proposals and determine whether proposed facilities, schedules, technical specifications, and commercial structures can satisfy OpenAI’s requirements.
• Partner with capacity planning, energy, real estate, site development, design, construction, commissioning, networking, finance, legal, and commercial teams.
• Establish planning assumptions, readiness criteria, decision gates, and governance for moving opportunities from portfolio planning into execution.
• Build dashboards and executive-ready materials that communicate capacity supply, demand, timing, assumptions, dependencies, and material risks.
• Support investment, build-versus-partner, geographic-prioritization, and portfolio-allocation decisions.
• Create repeatable planning frameworks and playbooks that allow OpenAI to scale shell-capacity decisions across regions and infrastructure generations.

Qualifications

• 8+ years of experience in data center development, infrastructure planning, capacity planning, real estate development, construction planning, program controls, or a related field.
• Experience developing or managing portfolio-level plans across multiple data center sites, buildings, or infrastructure programs.
• Strong understanding of the data center development lifecycle, including site readiness, power delivery, design, permitting, construction, commissioning, and operational turnover.
• Ability to translate technical and demand requirements into facility-capacity, schedule, and phasing decisions.
• Strong quantitative and scenario-modeling skills, including the ability to work with incomplete or changing assumptions.
• Experience evaluating competing delivery strategies and communicating cost, schedule, flexibility, and risk tradeoffs.
• Strong cross-functional program leadership and the ability to create alignment across technical, commercial, and operational organizations.
• Excellent written communication and executive-presentation skills.
• Comfort operating in a fast-moving environment where capacity requirements, technical assumptions, and delivery timelines may change quickly.

Preferred Skills

• Experience planning hyperscale data center campuses or infrastructure supporting high-density compute.
• Familiarity with powered-land development, utility and interconnection schedules, and campus-level power phasing.
• Experience evaluating self-build, build-to-suit, wholesale colocation, and third-party development models.
• Understanding of high-density electrical, mechanical, cooling, and network infrastructure requirements.
• Experience working with developers, capital partners, colocation providers, utilities, engineering firms, and construction organizations.
• Experience creating portfolio-planning systems, capacity dashboards, or executive decision frameworks for large infrastructure programs.

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Key Responsibilities:

• Develop and own our product positioning framework and messaging architecture across our AI product portfolio, translating data science capabilities and clinical outcomes into business-outcome language that resonates with health plan and health system buyers
• Build and maintain our tech differentiation narrative , the cohesive story of why our AI innovation matters and where we win against competitors
• Lead strategic go-to-market planning for product launches, moving us from tactical announcements to systematic market education with clear positioning and success metrics
• Own scientific communications: partner with our research and clinical teams to triage new manuscripts, plan publication moments, and translate peer-reviewed findings into market-facing narratives and enablement content
• Build and maintain our sales enablement library , pitch decks, case studies, whitepapers, battle cards , and partner with BD and Partner Success to support key enterprise opportunities and continuously improve our sales approach based on market feedback

Minimum Qualifications:

• 7+ years of experience in B2B product marketing, including experience as the first or only product marketer building the function from scratch
• Track record bringing new products to market, particularly technical or data science products, with experience navigating complex, multi-stakeholder enterprise sales cycles
• Excellent written and verbal communication skills with ability to distill complex technical and clinical concepts into clear, compelling business narratives
• Self-starter who operates effectively in fast-paced, ambiguous startup environments with ability to build processes and infrastructure independently

Preferred Qualifications:

• Healthcare experience, particularly working with health plans, health systems, or value-based care organizations
• Experience in early-stage or high-growth B2B SaaS companies
• Background translating clinical evidence, research, or technical capabilities into market positioning and sales narratives

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As a Tax Account Executive at Stripe, you'll use your sales and product expertise to help drive growth through both existing and new-to-Stripe customers. You'll collaborate with the core sales, marketing, product marketing, and product teams to develop deep product and industry knowledge and drive strategic deals.

Responsibilities

• Drive revenue to achieve and overperform on targets
• Lead discussions with our largest existing and prospective customers
• Contribute to the development of go-to-market playbooks alongside product, marketing, sales, and technical services stakeholders
• Understand and articulate the value propositions of Stripe Tax to key stakeholders, including technical teams, financial departments, partners, and C-suite executives
• Develop a deep understanding of global indirect tax requirements of potential customers
• Build and maintain relationships with clients, guiding them through the sales process and helping ensure a successful implementation of Stripe Tax
• Collaborate with the product, engineering, marketing, and customer success teams to ensure client satisfaction and long-term growth
• Stay up-to-date on industry trends in data, analytics, and reporting to identify new opportunities

Who you are

We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply.

• You're an adept salesperson, capable of engaging in business-level and technical conversations at multiple levels of the organization, including C-level roles.
• You're used to building value in competitive situations and enjoy working on products that require deep product understanding, combined with technical knowledge.
• You're comfortable working with clients as you are with internal stakeholders (including executives).
• You're excited to become an expert and to share your knowledge.
• You're an organized self-starter, an excellent communicator who is detail-oriented and has a track record for improving the processes and organizations around you.

Minimum requirements

• 8+ years of sales or prospecting experience at a technology company and a track record of top performance
• Owning a direct sales quota, with direct sales experience closing new business and expanding existing users
• A proven ability to build strong collaborative working relationships with business partners
• A proven ability to be a self-starter capable of driving business results without significant supervision
• A hands-on mentality
• Excellent verbal and written communication skills
• Strong presentation skills, particularly for in-person meetings with multiple stakeholders
• Proven ability to lead complex negotiations involving bespoke commercial agreements
• Ability to understand complex technical requirements and craft solutions across multiple stakeholders

Preferred qualifications

• 3+ years of experience selling financial services or similar software
• Experience selling tax solutions
• Proven ability to sell complex software solutions

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We are seeking a Program Manager, GTM Strategic Programs to join our Go-to-Market (GTM) Strategic Programs team at Stripe. As a Program Manager, you will be responsible for building and driving large-scale programs end-to-end, and be directly responsible for marshaling the cross-functional support and resources needed to accomplish your goals.

Responsibilities

• Be accountable for building and driving large-scale programs end-to-end, and be directly responsible for marshaling the cross-functional support and resources needed to accomplish your goals
• Manage directly (or coordinate) the "full-stack" of change management activities across stakeholder engagement and creating champions, messaging and communication planning, and support and enablement
• Develop strong collaborative relationships with key stakeholders across Stripe across levels and functions
• Work cross-functionally to identify improvement opportunities for the Revenue teams spanning strategy, people, process, and technology
• Develop a Programs Center of Excellence, providing guidance, consulting, and coaching to peers and others on partner teams
• Seamlessly prioritize among various projects and synthesize data to guide and support strategy and decision
• Make C-suite-level recommendations and drive decisions, where necessary

Requirements

• Experience working in a sales and marketing organization
• 7+ years of experience in program management, business operations, management consulting, or a related discipline
• A strong track record of delivering global, complex programs with multiple constituents in a changing, ambiguous environment end-to-end
• An enthusiastic "roll up your sleeves" mentality
• Ability to work well under pressure, with a high degree of adaptability and flexibility in a fast-paced, rapidly changing environment
• The ability to diagnose, simplify, and structure problems and solutions while having command of "the details"
• Excellent analytical, presentation, and communication experience, influencing across all levels from front lines to C-suite
• Demonstrated leadership qualities throughout their work,taking ownership of challenges, selflessly supporting their colleagues, and setting the standard for quality in their deliverables

Preferred Qualifications

• Comfort operating with incomplete data and adapting and reprioritizing activities as business needs change
• Deep problem-solving and analysis experience (solving business problems,commercial, operational, financial) in a sales-oriented environment
• A growth mindset and innate curiosity where every interaction is an opportunity to learn and improve (yourself and those around you)
• Prior experience with payments
• Comfort with SQL

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As an Abuse Control Engineer on the Abuse Control Engineering (ACE) team, you will design, prototype, and incubate technical defenses that safeguard Stripe's financial ecosystem against complex, cross-cutting abuse vectors.

Responsibilities

• Rapid Control Prototyping: Design, prototype, and deploy technical controls across API, protocol, and product boundaries to immediately close high-impact abuse vectors.
• Evidence-Based Technical Requirements: Translate empirical attacker evidence and FT3 threat research into precise technical abuse requirements and control specifications.
• Control Co-Design: Collaborate closely with teams across Stripe to co-design resilient, secure controls across payment, onboarding, identity, and Connect surfaces.
• Risk Experimentation: Run rigorous experiments and A/B tests to measure risk reduction against legitimate user conversion impact, optimizing controls to minimize friction while neutralizing threats.
• Regression Testing: Build comprehensive regression testing suites and automated attack simulations with Abuse Research to ensure mitigated abuse vectors do not recur.
• Stakeholder Management: Execute ACE's incubation model by defining handoff criteria, operational documentation, and target dates to transfer successful controls to product teams.

Requirements

• 3+ years of experience in Security Engineering, Software Engineering, Application Security, or Anti-Abuse Engineering in a high-scale production environment.
• B.S. or M.S. in Computer Science, Cybersecurity, Software Engineering, or a related technical field, or equivalent practical experience.
• Strong software development background with expert proficiency in Python, Go, Java, or similar production languages, alongside expert SQL skills for analyzing system telemetry.
• Hands-on engineering experience building API-level safeguards, rate-limiting frameworks, authentication/authorization checks, or input validation controls.
• Demonstrated experience with automated testing frameworks, including writing unit, integration, and regression tests for critical backend software.
• Strong cross-functional collaboration and communication skills, with a track record of partnering across security, product, and platform teams to drive technical outcomes.

Preferred Qualifications

• Proven track record of designing and executing A/B tests, evaluating control efficacy, and balancing security safeguards against user conversion friction.
• Deep expertise in threat modeling, secure system architecture, and modern application security design principles.
• Familiarity with established threat frameworks (e.g., FT3, MITRE ATT&CK) and applying adversary kill chain analysis to build resilient defenses.
• Strong domain knowledge of financial fraud vectors, threat actor TTPs, and attacker infrastructure (e.g., Account Takeover, Card Testing, Credential Stuffing).
• Hands-on experience with large-scale data processing platforms (e.g., Databricks, Trino, PySpark) to monitor and measure control performance across distributed systems.
• Demonstrated capability in incubating software features, establishing clear operational handoff criteria, and seamlessly transitioning ownership to partner engineering teams.

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Responsibilities:

• Inspire, motivate, and develop a high-performing fraud investigations team, fostering a collaborative and results-oriented environment.
• Establish clear goals, provide coaching and feedback, and support the professional growth of team members.
• Set a strategic vision for the team and build the path to execute it in both the short and long term.
• Proactively evolve the organization’s strategy to scale operations and address day-to-day challenges.
• Collaborate with and influence risk leadership and cross-functional stakeholders to identify the highest-ROI investments for user experience, process improvement, and risk mitigation.
• Maintain oversight of operational vendor performance related to risk.
• Lead root-cause analysis to identify opportunities to predict, prevent, and mitigate risk within processes and performance.
• Define and manage core metrics, SLAs, and organizational performance.
• Identify gaps in current systems, processes, and strategies, and deliver enhancements and process improvements to mitigate existing and emerging risks.
• Ensure risk-management efforts do not compromise the user experience.

Minimum requirements:

• 10+ years of experience in fraud, risk, or management roles, including at least 2 years of directly leading and developing high-performing teams.
• Strong strategic-thinking and problem-solving skills, with the ability to translate complex challenges into actionable solutions.
• Excellent communication and stakeholder-management skills, with the ability to influence and collaborate across functions.
• Passion for delivering a user-centric experience while effectively managing risk.

Preferred qualifications:

• Expertise in fraud and risk management, including data analysis, root-cause analysis, and process improvement, as well as experience analyzing data and creating dashboards and visualizations.
• Strong proficiency in sourcing and analyzing data using SQL.
• Experience working closely with engineering teams to develop and enhance investigative tools and treatments.
• Bachelor’s degree or higher in a relevant field; an advanced degree or certification is a plus.

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The Abuse Operations team is the front-line incident response and remediation function handling active product abuse and fraud impacting Stripe and its merchants. This multi-disciplinary group works directly with impacted merchants to resolve technical incidents and policy abuse rapidly.

As an Investigator, you will play a critical role in safeguarding our financial ecosystem by investigating high-risk accounts and identifying complex patterns of fraud during incidents. You will lead incident response for product abuse and fraud events, conducting deep-dive analyses to identify root causes. Your expertise will be essential in automating response processes through agentic approaches, allowing us to safeguard merchants and neutralize threats with speed and precision.

Responsibilities:

• Investigate, mitigate, and remediate urgent fraud incidents, utilizing FT3-mapped detection and signals enrichment to reduce uncertainty and accelerate response.
• Analyze high-risk accounts to identify fraudulent merchants, card testing, account takeovers, and other fraud vectors, classifying them using FT3 to standardize threat intelligence.
• Lead incident root cause analyses to identify gaps in current systems and strategies, leveraging the FT3 framework and data-driven model to drive enhancements and process improvements for emerging fraud risks.
• Streamline incident response capabilities, ensuring the tooling and processes are clear, accurate, and efficient.
• Work cross-functionally with security, fraud, and data science teams to build agentic solutions for responding to abuse incidents at scale.
• Communicate effectively with legal and policy teams to assess and mitigate risks, demonstrating strong problem-solving under pressure.
• Collaborate with teammates, leading projects, mentoring others, and developing quality standards within the team.

Requirements:

• 3+ years of experience conducting incident response in security, product abuse, or trust domains.
• 3+ years of experience analyzing large data sets to solve problems and/or building models with a behavioral approach to fraud detection.
• B.S. or M.S. in Computer Science or a related field, or equivalent experience.
• Expert knowledge of Python and SQL, and familiarity with other programming languages.
• Experience with log analysis, network security, digital forensics, and incident response investigations.
• Ability to communicate results clearly and focus on impact.
• Ability to think creatively and holistically about reducing risk in a complex environment.

Preferred qualifications:

• An adversarial mindset, understanding the goals, behaviors, and TTPs of threat actors.
• Experience with engineering, data processing, and analysis tools.
• Familiarity with common open-source frameworks for big data processing and/or data science.

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Responsibilities:

• Build deep relationships across sales, marketing, and partner leadership teams.
• Develop a revenue-generating joint go-to-market plan for assigned partners, including joint activities such as events and webinars, engagement with partner account executives through enablement and co-selling plans, and solution development.
• Develop and execute Stripe's partner strategy with assigned partners, aligned with Stripe's regional business and global partner strategy.
• Advocate for partners and identify partnership growth opportunities.
• Report weekly, monthly, and quarterly to key stakeholders, using a strong analytical approach and clear communication.
• Work with program, marketing, and sales teams to execute partner programs, events, and sales engagement.
• Build playbooks and collateral that help partners sell effectively.

Minimum requirements:

• 8+ years of partnerships or sales experience in technology, financial services, or a similarly complex B2B environment.
• Experience owning and growing strategic partnerships that generated measurable commercial outcomes.
• Experience developing and executing joint go-to-market plans with external partners and internal sales, marketing, and program stakeholders.
• Experience negotiating commercial agreements and influencing senior executive stakeholders.
• Ability to travel as required for partner meetings, events, and internal collaboration.

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As a Designer on the Presence team, you'll contribute to the strategy and execution of Stripe's most visible web surfaces. You'll design new product pages, evolve storytelling for specific industries or audiences, and refine reusable patterns that make it easier to scale exceptional work across stripe.com.

Responsibilities

• Design new and improved experiences across stripe.com, including product, industry, and solution landing pages
• Collaborate with engineers, PMMs, and content designers to define problems, explore solutions, and bring them to life
• Partner with other designers to maintain and evolve systems that uphold Stripe's design standards at scale
• Balance storytelling with usability to create pages that are engaging, credible, and easy to navigate
• Use user research, user testing, and data to guide and validate your decisions
• Participate in critique and feedback sessions, contributing to the overall quality bar of the team
• Demonstrate a meticulous attention to craft,ensuring designs are not only functional, but visually excellent

Requirements

• 2–4 years of relevant design experience, ideally in web or product marketing contexts
• A strong portfolio of web design work that demonstrates exceptional visual design skills, systems thinking, and attention to detail
• Ability to independently scope and lead small to medium-sized projects
• Strong communication skills and a collaborative mindset
• Fluency in layout, typography, color, hierarchy, and interaction fundamentals
• Comfortable using Figma and working in component-based systems
• Experience working on CMS-driven websites and modular systems

Preferred Qualifications

• Familiarity with front-end development workflows or an ability to speak fluently with engineers
• Understanding of web performance, accessibility, and SEO best practices
• Experience designing for international audiences or multilingual websites
• Previous experience in fast-paced, cross-functional environments

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• Offered Base Salary Between $150K – $200K • Offers Equity

Synthesia is the world’s leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017, the company is headquartered in London, with offices and teams across Europe and the US.

As AI continues to shape the way we live and work, Synthesia develops products to enhance visual communication and enterprise skill development, helping people work better and stay at the center of successful organizations.

Following our recent Series E funding round, where we raised $200 million, our valuation stands at $4 billion. Our total funding exceeds $530 million from premier investors including Accel, NVentures (Nvidia's VC arm), Kleiner Perkins, GV, and Evantic Capital, alongside the founders and operators of Stripe, Datadog, Miro, and Webflow.

_Location: Remote (US East Coast/Central)_

As our team and customer base grow, we need to make sure our security efforts scale accordingly. For that, we are looking to expand the Synthesia Infosec team by onboarding an additional Security Engineer (L6)! You will report to the Head of Security and work within the Security Operations team.

Key Responsibilities:

• Build and own deeply technical security improvements across our Cloud Infrastructure(s) and associated territory (AWS/GCP, Kubernetes, CI/CD), including shipping production changes yourself when needed.

• Design, implement, and iterate on detection and response capabilities (SIEM, EDR/MDR, cloud-native detections, CNAPP) with an engineer’s bias for automation, reliability, and measurable outcomes.

• Hunt, investigate, and respond to security alerts and suspicious activity end-to-end (triage → containment → eradication → recovery → learnings), including writing tooling and detection logic to prevent recurrence.

• Build internal security tooling and automations (IaC, scripts, integrations) that reduce toil and raise the security bar by default.

Experience & Qualifications:

• You’re a deeply technical security engineer with a builder/hacker mindset, able to go from idea → prototype → production and comfortable making changes directly in Cloud Infra / DevOps systems.

• You have 5+ years of hands-on security engineering experience, ideally in a cloud-first SaaS environment.

• Have worked in a fast-growing startup, scale-up and/or SaaS company

We would expect you to have experience in:

• Cloud security engineering in AWS and/or GCP, with the ability to implement improvements hands-on (IAM, networking, compute, storage, logging).

• Kubernetes security (cluster hardening, workload isolation, runtime security, policy controls) and container ecosystems.

• DevOps fundamentals: CI/CD security, secrets management, artifact integrity, and secure-by-default platform patterns.

• Incident response and investigation, including creating repeatable playbooks and automating response where appropriate.

• Strong programming/scripting ability (Python or similar) plus comfort with infrastructure-as-code (e.g., Terraform) and automation.

• Serious agent coding - ideally you’re on the bleeding edge in the space.

• Endpoint security tooling, such as CrowdStrike

Bonus points for:

• Hands on experience with any/all of: Hunters, Wiz, Falcon, Tracebit, Torii, Okta, Google Workspace, StrongDM, Github, StepSecurity, Dope Security

• Any relevant Information Security certification, e.g AWS Certified Security, GIAC GWEB, OSCP, or CSSLP.

The good stuff..

In addition to being a part of a great team, working in a fun and innovative environment, we offer:

• A competitive salary + stock options in our fast-growing Series E startup

• Remote-friendly environment

• 100% Medical, Dental & Vision

• 401k Plan

• Paid parental leave

• 25 days of annual leave + Public holidays + paid sick leave

• Fun culture with regular socials

• A generous referral scheme

• A brand new computer + monitor

• Budget and support for conference travel, community events, and content production

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As Senior Community Affairs & Partnerships Manager, you will lead community engagement across assigned markets and strengthen CoreWeave's social license to operate. You will build trusted local relationships, guide cross-functional engagement strategies, and ensure community considerations inform site selection, permitting, construction, and operations.

Responsibilities:

• Own and lead cross-functional community engagement strategies across assigned markets, partnering with Government Affairs, Communications, People, Legal, Development, Operations, and other teams to align engagement with business objectives, permitting milestones, construction schedules, and operational priorities.
• Lead Community Affairs input into site selection and project due diligence, assessing community sentiment, political dynamics, stakeholder priorities, local opposition, and reputational risk in prospective and active markets.
• Build and maintain trusted relationships with elected officials, community leaders, faith-based organizations, nonprofits, unions, business groups, and other local stakeholders; represent CoreWeave in community, political, and public forums.
• Develop and execute market-specific engagement plans that identify key stakeholders, anticipate emerging issues, establish engagement milestones, and recommend practical courses of action and escalation paths.
• Lead the development and negotiation of community benefit agreements and coordinate with the Incentives, Legal, and Development teams on PILOTs, RDAs, and similar development agreements.
• Identify, recommend, and oversee local partnerships and community investments aligned with business and community priorities, including initiatives with CoreWeave Cares and Employee Action Networks.
• Establish KPIs and provide senior leaders with concise reporting and recommendations regarding stakeholder alignment, community sentiment, issue resolution, partnership outcomes, and material local risks and opportunities.
• Manage budgets for engagement activities, events, sponsorships, partnerships, and community investments while developing scalable processes, stakeholder-management practices, and coordination models for the growing Community Affairs function.

Requirements:

• Bachelor's degree in Public Affairs, Political Science, Urban Planning, or a related field.
• 10+ years of progressive experience in community affairs, stakeholder engagement, social performance, public affairs, government affairs, or external relations.
• Experience supporting data centers, energy, or other large-scale critical-infrastructure development, including permitting or entitlement processes.
• Demonstrated experience independently leading complex, multi-market stakeholder strategies and translating local developments into clear business recommendations.
• Demonstrated success building trusted relationships with senior government officials, community organizations, business groups, labor representatives, and other local stakeholders.
• Experience advising senior leaders and coordinating specialized cross-functional teams in politically sensitive or high-visibility environments.
• Experience using stakeholder-management tools and metrics to track engagement activity, risks, commitments, and outcomes.
• Ability to travel up to 50% and manage priorities across multiple markets.

Preferred:

• Experience negotiating community benefit agreements, PILOTs, RDAs, or similar development agreements.
• Experience managing corporate-giving, community-investment, sponsorship, or corporate partnership portfolios.

Benefits:

• Medical, dental, and vision insurance - 100% paid for by CoreWeave
• Company-paid Life Insurance
• Voluntary supplemental life insurance
• Short and long-term disability insurance
• Flexible Spending Account
• Health Savings Account
• Tuition Reimbursement
• Ability to Participate in Employee Stock Purchase Program (ESPP)
• Mental Wellness Benefits through Spring Health
• Family-Forming support provided by Carrot
• Paid Parental Leave
• Flexible, full-service childcare support with Kinside
• 401(k) with a generous employer match
• Flexible PTO
• Catered lunch each day in our office and data center locations
• A casual work environment
• A work culture focused on innovative disruption

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The Business Operations Director & Chief of Staff is a senior contributor responsible for how Waymark plans, communicates, and operates as a company. Reporting directly to the Head of Operations and working closely with the CEO and Executive Leadership Team, this leader owns three interconnected mandates: the company's strategic planning and management system, company and internal communications, and the development of the business processes that keep a scaling organization coordinated and accountable.

Responsibilities

Strategic Planning & Management

• Own the company's strategic planning system: refreshing the multi-year strategic vision; translating company strategy into clear goals, priorities, and resource allocation decisions; designing and running company-level annual and quarterly planning cycles, rolling up department-level roadmaps and driving key prioritization decisions.
• Drive the OKR / goal-setting process end to end , objective setting, results consolidation, progress monitoring, and corrective action , ensuring clarity, consistency, and accountability across all teams.
• Run the executive operating rhythm: leadership team meeting cadence and agendas, decision tracking, quarterly business reviews, and executive offsites.
• Provide executive leadership with insight and analysis on company performance, surfacing risks, trade-offs, and recommendations to inform key decisions.
• Serve as a versatile utility player for the executive team: lead high-priority cross-functional initiatives and special projects, bringing structure and momentum to ambiguous problem spaces critical to Waymark's growth.

Company & Internal Communications

• Own the company's internal communications strategy and calendar, ensuring employees understand company direction, priorities, progress, and key decisions.
• Plan and produce all-company meetings, leadership communications, and company events , narrative, content, and logistics.
• Draft and edit high-stakes executive communications: company-wide announcements, strategy narratives, decision memos, and executive presentations.
• Co-lead the development of board narrative / decks for quarterly meetings.
• Act as a conduit between the executive team and the broader organization , cascading decisions and strategic direction downward and channeling feedback, questions, and early signals of misalignment upward.
• Ensure follow-through on decisions and commitments made in executive forums, routing actions to the right owners and driving them to closure.

Business Process Development

• Design, implement, and continuously improve the core operating processes that keep the company coordinated as it scales , planning, reporting, decision-making, administration, and cross-functional coordination workflows.
• Own the company's decision-making infrastructure, including decision-memo process, approval workflows, and vendor and procurement review, in partnership with Partnerships, Finance, Legal, and Security.
• Identify organizational friction, process gaps, and duplicated effort; partner with functional leaders to redesign workflows and clarify ownership.
• Sustain and improve the company's collaboration processes and tooling to maximize productivity and coordination across teams, including thoughtful adoption of AI tools.
• Build lightweight systems for planning, reporting, and accountability that scale with the company without adding unnecessary process.

Required Qualifications

• Experience: 7+ years in business operations, chief of staff, strategy, or consulting roles with direct healthcare experience; demonstrated success operating at the executive level in a fast-paced, high-growth environment; expert-level proficiency with PowerPoint deck creation and Excel modeling.
• Strategic Planning: Hands-on experience designing and running company-level planning processes , annual/quarterly planning, OKRs or equivalent goal frameworks, and performance management rhythms.
• Communication: Exceptional written and verbal communication, including executive memos, decks, and company-wide communications; able to quickly distill complex concepts into clear, compelling narratives for executive and all-employee audiences.
• Process & Systems Thinking: Track record of designing and implementing business processes, operating cadences, and decision frameworks that improve organizational execution.
• Analytical Rigor: Financial and operational modeling skills, combining data-driven analysis with sound business intuition to pressure-test decisions on contracting, budgeting, and strategy.
• Influence & Judgment: Ability to influence without authority, build trusted relationships across all levels, and handle confidential information with discretion; entrepreneurial self-starter who delivers results without waiting for direction.

Preferred Qualifications

• Passion for improving care for Medicaid patients.
• Healthcare experience in value-based care and/or tech-enabled care delivery.
• Comfort with a range of collaboration tools (Slack, Jira, Confluence, Asana, HubSpot/Salesforce CRM, Jotform, Google Workspace) and proficiency with AI tools.

Benefits

• Stock Options: Opportunity to invest in the company’s growth.
• Work-from-Home Stipend: A dedicated stipend for your first year to help set up your home office.
• Medical, Vision, and Dental Coverage: Comprehensive plans to keep you and your family healthy.
• Life Insurance: Basic life insurance to give you peace of mind.
• Paid Time Off: 20 vacation days, accrued over the year, plus 11 paid holidays.
• Parental Leave: 16 weeks of paid leave for birthing parents after six months of employment, and 8 weeks of bonding leave for non-birthing parents.
• Retirement Savings: Access to a 401(k) plan with a company contribution, subject to a vesting schedule.
• Commuter Benefits: Convenient options to support your commute needs.
• Professional Development Stipend: A dedicated stipend supports professional development and growth.

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The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The salary range for this role is $261K – $335K, with generous equity, performance-related bonuses, and the following benefits:

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts
• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)
• 401(k) retirement plan with employer match
• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)
• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees
• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)
• Mental health and wellness support
• Employer-paid basic life and disability coverage
• Annual learning and development stipend to fuel your professional growth
• Daily meals in our offices, and meal delivery credits as eligible
• Relocation support for eligible employees
• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

About the Team

OpenAI's mission is to ensure the responsible and widespread adoption of artificial intelligence. The Sales team partners closely with customers to deeply understand their businesses and needs, helping inform the development of products and solutions that drive meaningful revenue growth and long-term success on the platform.

About the Role

As an Agency Partner, you will be responsible for driving new and expanded advertising revenue through strategic relationships with leading agency holding companies. You will help agencies and their clients leverage OpenAI's platform to connect with highly engaged audiences in innovative and responsible ways.

This role is focused on building and growing agency partnerships that unlock opportunities across a broad portfolio of advertisers. You will own the agency partnership strategy,from executive relationship development and joint business planning to agency education and portfolio activation,establishing OpenAI as a trusted partner and driving sustained adoption and revenue growth across agencies and their clients.

You will:

• Develop and execute strategic agency partnership plans that increase adoption, unlock advertiser investment, and drive revenue growth across agency holding companies and independent agencies.
• Develop and execute strategic agency plans that drive advertiser adoption, client ROI, and long-term revenue growth.
• Build and maintain relationships with senior agency decision-makers across investment, strategy, planning, innovation, data, commerce, and executive leadership functions.
• Serve as a trusted advisor to agency partners, helping them understand and activate OpenAI's advertising solutions across a diverse range of clients, industries, and business objectives.
• Lead strategic partnership discussions, joint business planning, and commercial frameworks that support agency-wide adoption and investment.
• Identify and influence priority client opportunities in partnership with agency leaders, planners, buyers, and account teams.
• Quantify opportunities through clear, data-driven business cases aligned with advertiser objectives and performance outcomes.
• Partner closely with Account Management, Product, Measurement, Marketing, and Operations to deliver exceptional agency and advertiser experiences.
• Gather and synthesize feedback from agencies and their clients to help shape the evolution of OpenAI's advertising products, partnerships, and go-to-market strategy.
• Stay informed on agency trends, competitive dynamics, shifts in media investment, and emerging technologies affecting the advertising ecosystem.

Requirements

You might thrive in this role if you have:

• Significant experience in digital advertising sales, agency partnerships, or business development.
• Deep relationships with senior stakeholders across agency holding companies, independent agencies, and their advertiser clients.
• A strong understanding of how agencies plan, buy, measure, and optimize media on behalf of clients.
• A track record of growing agency partnerships, influencing investment decisions, and delivering measurable revenue and product adoption across advertiser portfolios.
• Experience developing joint business plans and activating opportunities across large, matrixed agency organizations.
• The ability to influence multiple stakeholders, from day-to-day planning and investment teams to senior agency and client executives.
• Strong consultative selling, negotiation, strategic planning, and executive communication capabilities.
• Comfort operating in fast-paced, ambiguous environments and helping build new businesses from the ground up.
• Passion for emerging technologies and excitement about shaping how AI transforms advertising, agency partnerships, and consumer engagement.

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As a Software Engineer focused on Vulnerability Management at Stripe, you will use your software engineering expertise to find and prioritize vulnerabilities in our systems.

Working closely with engineers across the company, you will drive the timely remediation of discovered vulnerabilities, playing a key role in Stripe's overall security and risk strategy.

In addition, you will continuously improve Stripe's security defenses by enhancing our vulnerability management processes and selecting effective scanning tools to uncover weaknesses.

Your core responsibilities as a Vulnerability Management Software Engineer will involve building data- and agent-backed systems to surface vulnerabilities across Stripe.

In addition, you will coordinate fixes to prevent exploits that could impact Stripe or our users and serve as an advisor on security risks.

All of this requires collaborating cross-functionally to advocate for practices that strengthen the safety of Stripe's systems and data.

Responsibilities

• Identify vulnerabilities using automated tools and triage them appropriately
• Collaborate with other teams to drive remediation of vulnerabilities
• Contribute to our overall security and risk management strategy
• Continuously improve our security posture, processes, and tools

Minimum Requirements

• 2+ years of industry software engineering experience (does not include internships or co-ops)
• Software engineering experience within the security domain
• Empathy, strong communication skills and a deep respect for the power of collaboration
• Excellent problem-solving skills and attention to detail
• High standards for code quality and a constructive attitude to help others raise the bar

Preferred Qualifications

• An ability to think creatively and holistically about reducing risk in a complex environment
• Familiarity with automated vulnerability identification tools and triage
• Delivery of successful projects using agents to automate human review processes

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