Responsibilities:

• Own and evolve HubSpot as the core commercial system of record: pipeline architecture, deal stages, workflows, data governance, permissions, and adoption across the team.

• Build and automate dashboards and reporting for pipeline, funnel conversion, forecasting, activity, and performance vs. targets.

• Improve the data infrastructure behind the commercial org, ensuring clean data flows across CRM, enrichment tools, sales engagement platforms, and analytics environments.

• Lead new tool rollouts end-to-end (requirements to vendor evaluation to implementation to enablement).

• Drive CRM hygiene and scalable process with Sales Directors and Account Management.

• Create enablement and onboarding materials for new hires and for new tools/process changes.

• Deliver exec-ready updates (dashboards, memos, QBR materials) and present insights to senior leadership and, as needed, board/investor stakeholders.

• Streamline cross-functional workflows with Finance and Legal (gating processes, approvals, contracting handoffs).

Requirements:

• Hands-on experience owning and operating a CRM system (HubSpot strongly preferred), including workflows, automation, pipeline architecture, reporting frameworks, and governance.

• 5+ years in Sales Ops / RevOps / BizOps supporting a B2B sales team in a fast-moving or mature environment.

• Strong analytical skills: you turn data into clean reporting, clear insights, and actionable recommendations.

• Proven experience building dashboards (across platforms) teams actually use, with consistent metric definitions/frameworks.

• Strong systems thinking: ability to design scalable commercial processes and data structures as the business grows.

• Comfortable leading tool implementations and driving change management across stakeholders.

• Comfortable operating with and presenting to executive stakeholders (C-suite/Board/investors when relevant), with crisp, structured communication.

• High ownership, bias to action, and strong attention to detail.

• Advanced Excel; SQL and/or BI tools (e.g., Looker, Tableau, Power BI).

• US Citizen, Green Card Holder, or otherwise authorized to work in the US.

Bonus:

• Experience in technically complex industries (telecom, aerospace, hardware, infrastructure, or government/defense-adjacent markets).

• Experience with data engineering or data modeling supporting a GTM organization.

• Experience scaling contracting/approval processes for high-value enterprise deals.

• Experience working with globally distributed teams across time zones and cultures.

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You will work at the front of the product lifecycle; providing rapid, actionable root-cause findings that feed directly back into active design iterations. You will be the primary technical owner of understanding why prototype hardware fails, translating physical evidence into design, process, and supplier improvements that accelerate our path to reliable production hardware.

Key responsibilities include:

Performing failure analysis investigations on Printed Circuit Board Assemblies (PCBAs), components, modules, and subsystems returned from environmental, electrical, and mechanical cycling test campaigns Troubleshooting and isolating failures using drawings, schematics, circuit tracing, fault isolation techniques, and Design of Experiments (DOE) where appropriate Applying analytical techniques including optical and digital microscopy, X-ray/Computed Tomography (CT), mechanical cross-sectioning, curve tracing, and thermal imaging to identify failure mechanisms at the sub-system, board, and component level Coordinating with external analytical laboratories for advanced techniques such as Scanning Electron Microscopy / Energy Dispersive Spectroscopy (SEM/EDS), Fourier-Transform Infrared Spectroscopy (FTIR), and Focused Ion Beam (FIB) analysis when deeper characterization is required Authoring concise technical FA reports with documented findings, images, and conclusions that support design review discussions Translating physical failure evidence into clear, actionable root-cause conclusions and corrective action recommendations Collaborating with design, reliability, quality, manufacturing, and test engineering teams to drive corrective actions and prevent recurrence across prototype iterations Supporting Failure Modes and Effects Analysis, Design Verification, Validation, and Qualification planning and with proactive FA insights and risk identification based on lessons learned from previous builds Identifying and flagging failure patterns related to PCB/PCBA assembly, Surface Mount Technology (SMT) soldering processes, and supplier quality issues to inform Design for Quality and Reliability Building and maintaining a failure database to capture institutional knowledge and enable trend analysis across prototype builds Establishing and continuously improving FA processes, workflows, and documentation standards appropriate for a fast-moving prototype environment

Requirements include:

Bachelor's degree in Electrical Engineering, Materials Science, Electronic Engineering Technology, Mechanical Engineering or a related field 5+ years of hands-on failure analysis experience on electronic hardware (PCBAs, motors, batteries, components, interconnects) Background in a prototype or New Product Introduction (NPI) environment with rapid iteration cycles Proficiency with standard FA tools: optical/digital microscopes, multimeters, oscilloscopes, and curve tracers Experience with thermal imaging and thermal characterization of electronic assemblies Experience with non-destructive and destructive analysis methods including X-ray/CT and mechanical cross-sectioning Demonstrated ability to read and interpret PCB schematics and layouts Experience coordinating with external analytical labs or vendors for advanced characterization Strong technical writing skills with the ability to produce clear, evidence-based FA reports

Bonus qualifications include:

Master's degree in Electrical Engineering, Materials Science, or a related field Experience with structured problem-solving methodologies such as 8D, Fishbone, or 5-Why analysis Familiarity with physics-of-failure approaches to root-cause analysis Familiarity with PCB/PCBA assembly and SMT processes, including the ability to identify assembly and soldering-related defects

What we offer:

All our positions offer a compensation package that includes equity and robust benefits. Base pay is just one component of Astranis's total rewards package. Your compensation also includes a significant equity package via incentive stock options, high-quality company-subsidized healthcare, disability and life insurance, 401(k) retirement planning, flexible PTO, and free on-site catered meals.

Astranis pay ranges are informed and defined through professional-grade salary surveys and compensation data sources. The actual base salary offered to a successful candidate will additionally be influenced by a variety of factors including experience, credentials & certifications, educational attainment, skill level requirements, and the level and scope of the position.

Base Salary: $145,000-$190,000 USD

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This role requires strong communication skills to effectively engage with stakeholders, gather requirements, and facilitate product demos.

The ideal candidate should have a deep understanding of agile methodologies, experience in the insurance sector, and possess the ability to translate complex needs into actionable tasks for the development team.

Key responsibilities include defining and communicating the vision, roadmap, and backlog for data products, managing team backlog items and prioritising based on business value, and translating business requirements into scalable data product features.

Additionally, the Product Owner III will collaborate with data engineers, analysts, and business stakeholders to prioritise and deliver impactful solutions, champion data governance, privacy, and compliance best practices, and act as the voice of the customer to ensure usability and adoption of data products.

The role also involves leading Agile ceremonies, maintaining a clear product backlog, monitoring data product performance, and continuously identifying areas for improvement.

The ideal candidate will have proven experience as a Product Owner, ideally in data or analytics domains, and a strong understanding of data engineering, data architecture, and cloud platforms.

They will also have excellent stakeholder management and communication skills across technical and non-technical teams, strong business acumen, and the ability to align data products with strategic goals.

Experience with Agile/Scrum methodologies and working in cross-functional teams is also required, as well as the ability to translate data insights into compelling stories and recommendations.

Preferred qualifications include experience working in a fast-paced, data-driven product environment, a background in analytics, data science, or software development, and Product Owner certification.

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lag Team's mission is to deliver a unified, intelligent portfolio services platform that:

Enables seamless portfolio onboarding and maintenance Provides API-driven, self-service capabilities Reduces manual operations through structured automation and AI-assisted workflows Scales reliably across products, environments, and clients

We are seeking a senior full-stack engineer with strong backend and distributed systems expertise, who actively leverages AI-assisted development and agentive workflows to accelerate delivery and improve engineering quality.

Responsibilities include: Collaborate with team members in a multi-office, multi-country environment Deliver high-efficiency, high-availability, concurrent, and fault-tolerant software systems Work with product management and business users to define the roadmap for the product Identify and drive opportunities to incorporate AI and intelligent automation into the Portfolio Services platform, improving developer experience, reducing manual operations, and enhancing user outcomes Lead the adoption of AI-augmented engineering practices and ensure resilience and stability by including the use of generative AI coding assistants, automated test generation, intelligent documentation, and AI-enhanced observability Design and develop innovative solutions to complex problems, identifying issues and roadblocks Drive a strong culture by bringing principles of inclusion and diversity to the team and setting the tone through specific recruiting, management actions, and employee engagement

Good to have: Experience architecting or integrating AI-powered components (e.g., workflow automation, recommendation systems, anomaly detection, LLM-based services) Knowledge and experience developing and working with relational databases (e.g., MySQL, Sybase) Experience developing using NoSQL and distributed storage technologies (e.g., Cassandra, HBase) Experience with Cloud platforms like Microsoft Azure, AWS, Google Cloud Experience with DevOps and tools like Azure DevOps Team leading experience Experience with frontend technologies and the Angular framework is a plus

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Key responsibilities: Plan and execute field-scale testing programs, including designing trials that generate high-quality agronomic and product performance data. Collaborate with seed dealers and growers to plant trials, collect required data, maintain and harvest trials, and translate results into clear recommendations. Provide technical support and training for seed dealers and the Bayer squad, including product knowledge, agronomic best practices, and local management recommendations. Provide technical information and positioning guidance for seed, trait, and crop protection (chemistry) products, clearly communicating agronomic value and return on investment. Create and own an Agronomy Plan aligned with the local squad's business strategies and objectives, enabling the squad and customers to achieve or exceed sales and growth targets. Build strong presence and credibility with key growers, seed dealers, crop consultants, and other key third-party stakeholders, serving as a trusted agronomic advisor. Plan and execute tactics that support identified business strategies, including local demonstrations, field days, training events, and digital engagement. Provide strong leadership in local product portfolio management and future-year forecasting, evaluating new products thoroughly each season to inform forecasting and market positioning strategy. Ensure product stewardship and provide use recommendations for the local territory, including educating the sales team and customers on the legal use of crop protection and seed products. Comply with Bayer safety and vehicle safety policies and manage the proper use of Product Performance Inquiry claims in alignment with guidelines. Travel approximately ~60% of the time with significant daily face-to-face customer interaction to support dealers, growers, and internal partners. Launch new products effectively in the local market, delivering high-quality work, exercising good judgment, and making independent decisions without immediate supervision.

Requirements: Bachelor's degree in Agronomy, Agriculture, or a related field. Strong agronomic expertise with the ability to analyze field conditions, diagnose crop issues, and develop practical, locally relevant crop management solutions. Demonstrated experience working directly with growers, seed dealers, or agricultural customers, with proven ability to build trust and long-term relationships. Proven ability to plan and execute field trials or on-farm demonstrations, interpret data, and translate results into clear, actionable recommendations. Strong communication and training skills, including the ability to convey complex agronomic and product information clearly to diverse audiences and through multiple channels (in-person, digital, social media, email). Demonstrated leadership in cross-functional or squad-based environments, with the ability to collaborate effectively with sales, product management, agronomy, and marketing teams and to contribute constructive, solution-based input. Strong organizational and time-management skills, with the ability to manage multiple projects and priorities while delivering high-quality work independently. Valid driver's license and ability to obtain a DOT license. Ability to lift up to 60 lbs and willingness to travel approximately ~60% within the territory.

Preferred qualifications: 6+ years (with BS), 4+ years (with MS), or 3+ years (with PhD) of experience in agronomy, sales, field development, or R&D-related roles; degree must be completed by start date.

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We are seeking an experienced and innovative AI Product Engineer – Agentic Platforms to join our Financial Services Artificial Intelligence & Business Lines (FS-ABL) practice. This role is ideal for a consulting technologist with deep expertise in modern GenAI tooling, agentic system design, and enterprise SDLC, who can partner directly with clients to envision, design, develop, and deploy Agentic AI platforms in regulated environments.

In this role, you will work at the intersection of client advisory, AI product engineering, and delivery execution, helping banks, insurers, and capital markets firms transition from GenAI pilots to production-grade, governed, multi-agent systems. You will apply leading GenAI frameworks and LLM platforms , including Anthropic, OpenAI, LangChain, LangGraph, DSPy, and vector databases,while operating across the full Agentic SDLC.

P&C Insurance knowledge and experience is a significant plus. Additionally, familiarity with core insurance platforms like Guidewire, DuckCreek or Majesco will be extremely helpful to succeed in this role.

We are looking for candidates across all levels of experience and expertise - junior through senior level AI Product Engineers.

Responsibilities:

Client Advisory & Product Vision

Partner directly with Financial Services clients to identify, prioritize, and shape Agentic AI use cases across customer operations, underwriting, claims, risk, compliance, finance, and technology.

Lead client workshops to define agent personas, responsibilities, autonomy boundaries, human-in-the-loop checkpoints, and escalation logic.

Translate evolving business needs into agentic product backlogs, roadmaps, and MVP definitions.

Support executive conversations around GenAI platform strategy, operating models, vendor selection, and scale-out approaches.

Agentic Platform & Architecture Design

Design and implement multi-agent architectures using modern GenAI tooling, including:

Planner, executor, reviewer/critic, and supervisor agents

Tool-calling and function-calling agents

Memory-enabled agents (conversation, semantic, episodic, and structured memory)

Leverage LangChain and LangGraph for agent orchestration, workflows, and control flow.

Apply DSPy and declarative prompt optimization techniques for repeatability, performance tuning, and regression control.

Design agent interaction patterns such as hierarchical agents, collaborating agents, and event-driven agent workflows.

Define standardized agent contracts, interfaces, and schemas to enable reuse and scale.

Agentic SDLC & Engineering Delivery

Own delivery across the full Software Development Lifecycle (SDLC), extending it into a formal Agentic SDLC, including:

Agent design specifications and behavior contracts

Prompt, policy, and tool versioning

Simulation environments and offline evaluation

Automated testing of agent flows and guardrails

Controlled rollout, telemetry-driven optimization, and continuous learning

Build production-grade AI services primarily using Python, integrating:

LLM providers such as Anthropic (Claude), OpenAI, and open-source models

Retrieval-Augmented Generation (RAG) using vector databases (e.g., Pinecone, FAISS, Milvus, Weaviate)

Implement CI/CD pipelines for agent code, prompts, and policies.

Integrate GenAI agents with client systems via APIs, workflow engines, event streams, and data platforms.

Observability, Evaluation & Optimization

Implement agent observability including tracing, decision logging, tool usage, and failure analysis.

Apply evaluation frameworks for hallucination detection, consistency checks, and fitness scoring.

Design feedback loops incorporating human-in-the-loop review and reinforcement.

Monitor cost, latency, throughput, and behavioral drift across deployed agents.

Governance, Risk & Financial Services Compliance

Design Agentic AI platforms aligned with Financial Services regulatory expectations, including:

Auditability and traceability of agent decisions

Model and prompt explainability

Data privacy and security controls

Resilience and fail-safe mechanisms

Embed guardrails and policies addressing hallucination risk, bias, unauthorized actions, and escalation failures.

Produce documentation supporting risk, compliance, internal audit, and regulator engagement.

Team Leadership & Firm Contribution

Provide technical leadership and mentorship to consulting delivery teams.

Contribute to internal GenAI accelerators, agent frameworks, and reusable assets.

Support RFPs, proposals, and client solution designs with credible GenAI and agentic architectures.

Participate in thought leadership on Agentic SDLC, GenAI engineering, and responsible autonomy.

Benefits

This position comes with competitive compensation and benefits package:

Competitive salary and performance-based bonuses

Comprehensive benefits package

Career development and training opportunities

Flexible work arrangements (remote and/or office-based)

Dynamic and inclusive work culture within a globally known group

Private Health Insurance

Retirement Benefits

Paid Time Off

Training & Development

Industry: Technology

Category: Engineering

Salary Range: Competitive salary and performance-based bonuses

Salary Min: 95000

Salary Max: 150000

Salary Currency: USD

Salary Period: year

Required Skills:

Generative AI

Agentic AI

Agent-based systems

Multi-agent architectures

LLM platforms

Vector databases

Python

CI/CD pipelines

APIs

Workflow engines

Event streams

Data platforms

Observability

Evaluation frameworks

Human-in-the-loop review

Reinforcement learning

Governance

Risk management

Financial Services compliance

Team leadership

Mentorship

Thought leadership

Preferred Skills:

Cloud computing

Containerization

DevOps

Machine learning

Natural language processing

Recommendation systems

deployed agents

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The successful candidate will be responsible for end-to-end planning, allocation and risk-mitigation of semiconductor and electronics components in direct support of all products lines and business unit objectives. They will work closely with procurement and channel marketing teams to provide formulate forecasts and make long-range purchase recommendations.

Key responsibilities include:

• End-to-end planning, allocation and risk-mitigation of semiconductor and electronics components
• Formulating forecasts and making long-range purchase recommendations
• Overseeing the sourcing, movement, allocation and disposition of Corsair purchased semiconductor and electronics components
• Understanding NPI requirements to drive successful new product launches and sustaining volumes
• Ensuring ODM partners and component supplier have up-to-date visibility on long-range demand requirements to ensure uninterrupted supply
• Continually evaluating market conditions and recommending improvements to respective overall supply chain

The ideal candidate will have a strong background in supply chain planning, with experience working with MRP systems and planning tools. They will also have excellent communication skills and be able to manage competing objectives effectively.

Required skills and experience include:

• Bachelor's Degree in Supply Chain, Business, Logistics or related disciplines or equivalent experience
• 5-8 years of detailed scheduling and material planning experience in a fast-paced consumer electronics environment
• In-depth experience with MRP/ERP and BI reporting tools
• Excellent communication skills with the ability to manage stakeholders and high-pressure situations

Nice to have skills and experience include:

• High volume CE / Consumer Electronics experience
• Supply Chain accreditation (ASCM/APICS/ISM/etc)

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Your key responsibilities will include:

• Originating and executing cross-asset risk management solutions predominantly related to strategic/financing events
• Performing and/or overseeing financial analysis to support hedging recommendations, including capital structure/hedge capacity assessment and modelling, stress testing and scenario analysis of market risk factors impacting corporate finance and credit metrics
• Assessing client credit metrics, rating agency considerations and hedge accounting standards as they relate to risk management transactions
• Supporting execution by coordinating internal stakeholders and preparing clear, client-ready materials (PowerPoint) that explain transactions in a concise, non-technical way

You will likely have the following qualifications to succeed in this role:

• Experience originating and executing cross-asset risk management solutions predominantly related to strategic/financing events
• Strong understanding of hedging solutions and market dynamics; experience with financial sponsors is preferred
• Strong understanding of common financing structures/products (e.g., acquisition financing) and associated hedging solutions
• Advanced proficiency in Microsoft Excel and PowerPoint; VBA (Visual Basic for Applications) is a plus
• FINRA Series 63, 79, and 7 licenses required. A contingency period to obtain licensing can be provided at manager's discretion

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Our ERP practice helps some of the largest global firms and most recognizable brands deliver value and business transformation enabled by digital ERP solutions and services. Our ERP services covering strategy, implementation and innovation help clients delivering true value and achieve their transformation agenda.

We help globally renowned clients improve their Finance and Accounting operations by devising strategies and enabling Oracle Cloud capabilities that support enterprise-wide decision-making, improve operational efficiencies, and transform / reposition the role of Finance within the enterprise. You’ll have exposure to strategic projects, you’ll be part of a multi-cultural collaborative team, and you’ll be able to see your own ideas transform into breakthrough results.

We are looking for experienced Oracle ERP Finance and/or Supply Chain lead consultants to help sell and deliver Oracle transformation programmes at some of our key clients across UKI and Western Europe, with proven experience and capability in some of these areas:

• Taking a key delivery role of Oracle ERP (Finance and/or Supply Chain) solutions, in a functional and/or workstream management capacity, on large-scale transformation programmes.

• Operating across different phases of the consulting lifecycle – working with stakeholders in the client organisation across requirements analysis, functional design, process design (including scenario design, flow mapping), and fit-gap recommendations, through to deployment and business readiness support.

• Shaping and selling Oracle ERP (Finance and/or Supply Chain) solutions by engaging with senior stakeholders to help solve their business challenges in the relevant market segment.

• Actively engaging in the definition and creation of Oracle ERP (Finance and/or Supply Chain) solutions. You will play an important in shaping and identifying new and expansion business opportunities on these programmes.

• Managing and supporting proactive Oracle proposal development, focusing on the Infosys Consulting value proposition, key differentiators, and win themes.

• Assuming the role of trusted advisor to clients providing guidance in matters relating to Oracle Applications within relevant industries.

• Coordinating relationship building activities across teams on each client engagement to help ensure they are well advised on important matters.

• Collaborating with Oracle ERP colleagues in a multi-geography, hybrid delivery environment to deliver successful outcomes for our clients.

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You will build and operate backend services that orchestrate multiple text-to-speech (TTS) providers, alongside Synthesia's in-house models, delivering a seamless and consistent experience to end users despite underlying system complexity.

You will be responsible for designing and evolving systems that handle provider reliability, request routing, and output consistency, ensuring users can generate and regenerate voice content with predictable, high-quality results.

You will contribute to user-facing product problems from a backend perspective, working closely with frontend engineers to ensure APIs and workflows integrate cleanly into the product experience.

You will own projects that span multiple systems and domains, such as:

• Building robustness layers (retries, throttling, failover) to handle unreliable third-party providers

• Designing persistence systems to ensure consistent voice outputs across generations

• Improving how voice data is stored, retrieved, and reused

You will also work on newer initiatives around voice discovery and recommendations, helping users find the best voices by building evaluation systems, improving recommendation logic, and adding observability to monitor quality.

You will evaluate your work through system performance and user experience metrics, using observability to debug and continuously improve reliability.

You will collaborate closely with product, frontend, and R&D teams, ensuring backend systems support both current product needs and future innovation.

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This isn't a conventional recruiter role , you'll work alongside GTM Sourcers and hiring leaders to define role strategy, design world-class candidate experiences, and deliver outstanding hires across global markets. You'll help shape what it means to build elite GTM teams in a fast-moving AI company.

If you're energized by ownership, creative problem-solving, and building recruiting systems that scale , and if you care deeply about quality, speed, and candidate experience , this role is for you.

Responsibilities

• Full-cycle recruiting for a broad range of GTM roles, from early-stage hires to strategic senior leaders in Sales, Customer Success, Partnerships, and Revenue Operations.

• Partnering closely with GTM leadership to refine role requirements, set hiring strategy, and identify key success signals that elevate quality of hire.

• Collaborating with GTM Sourcers to build and execute strategic sourcing plays, including market mapping, talent pools, and targeted pipelines across regions.

• Designing and managing candidate pipelines across global time zones with a focus on efficiency, transparency, and high-touch experience.

• Acting as a trusted advisor to hiring teams, providing market insights, role benchmarks, and data-driven recommendations.

• Representing ElevenLabs externally , every interaction with candidates is an opportunity to bring our brand and values to life.

Requirements

• Proven experience in full-cycle GTM recruiting, ideally in high-growth technology environments (we'd love to see ~3+ years, but impact > years).

• A track record of closing high-caliber talent in Sales, Customer Success, Partnerships, or Revenue Operations.

• Comfortable managing high volume, complex roles with multiple search priorities - while maintaining high quality and urgency.

• Strong partnership skills , you influence hiring leaders with clarity, data, and operational rigor.

• Exceptional communication , you craft compelling role narratives and maintain excellent candidate and stakeholder experience.

• Thrives in fast-paced, remote-first environments and collaborates seamlessly across teams and time zones.

Preferred Experience

• Data fluency , tracking and improving recruiting metrics and operating with an analytics mindset.

• A builder's mindset , you iterate, experiment, learn patterns, and refine GTM hiring playbooks.

• Mandarin language speakers.

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In this role, you'll turn hypotheses into measurable experiments, advise on test design to ensure validity and statistical significance, and help partners translate learnings into next steps. You'll partner closely with Product, Engineering, and Analytics teams to build a culture of test-and-learn, establish governance standards, and ensure we stay within platform usage limits.

This role turns experimentation into personalization, making every web experience more responsive to who the fan is and what they need.

Responsibilities:

• Build the experimentation program for EA Help,designing, setting up, and managing A/B and multivariate tests in Optimizely.
• Define and maintain experimentation governance, including test intake, prioritization, and documentation processes to ensure consistent, scalable execution.
• Advise on experiment design to ensure tests are statistically valid and align with business goals.
• Set up and launch experiments directly in Optimizely, or partner with Engineering for server-side or complex technical implementations.
• Analyze and interpret experiment results, producing actionable insights, business narratives, and recommendations for next steps.
• Develop personalization strategies using segmentation, targeting, and behavioral data to tailor content to specific fan groups or individuals.
• Integrate qualitative research and fan feedback to validate hypotheses and enrich quantitative findings.
• Pilot new workflows, tools, or automations that improve experimentation velocity, reliability, and transparency.
• Foster a “learn fast” mindset, normalizing failed tests as valuable learning and celebrating insights as much as wins.
• Collaborate cross-functionally with Product, Analytics, and Content teams to identify and prioritize opportunities for testing and personalization.
• Track and report on the performance, adoption, and impact of experimentation across initiatives.
• Monitor platform usage to ensure we stay within monthly active user (MAU) limits and avoid overage charges.
• Stay informed on AI-driven user experiences and explore opportunities to leverage AI for experimentation, personalization, and insights generation.
• Champion experimentation culture, coaching partners and team members to use data to inform design and content decisions.

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About the Position As a Performance Marketer at Constructor, you'll own and scale our paid acquisition channels to drive qualified pipeline for a category-defining AI product. Your work will directly impact how enterprise e-commerce buyers discover Constructor and enter our sales funnel.

Responsibilities

• Plan, launch, and optimize campaigns across Google Ads, LinkedIn Ads, display networks, content syndication, and sponsorship placements.
• Manage and allocate paid media budgets to maximize pipeline contribution and ROI across all channels.
• Collaborate with demand generation and sales to ensure paid campaigns align with global campaigns, pipeline goals, and lead-to-opportunity conversion targets.
• Build and test audience segments, ad creative, landing pages, and bidding strategies through continuous A/B experimentation.
• Partner with content, graphic design, and product marketing to develop compelling ad copy, assets, and sponsored content that resonates with e-commerce decision-makers.
• Own reporting dashboards and provide regular performance readouts with clear insights and actionable optimization recommendations.
• Stay current on platform updates, privacy regulations, and B2B paid media trends to maintain a competitive edge.

Requirements

• 3–5 years of hands-on experience managing paid media campaigns in a B2B SaaS or technology environment.
• Proven track record running Google Ads and LinkedIn Ads at scale with demonstrable pipeline impact.
• Strong analytical skills with proficiency in Google Analytics, Looker Studio, Tableau, or similar BI/reporting tools.
• Working knowledge of marketing automation and CRM platforms (e.g., HubSpot, Marketo, Salesforce) for lead tracking and attribution.
• Demonstrated ability to manage six-figure monthly budgets and clearly report on pipeline and revenue impact.
• Excellent communication skills with the ability to translate data into actionable insights for cross-functional stakeholders.

Benefits

• Unlimited vacation time – we strongly encourage all of our employees to take at least 3 weeks per year.
• A competitive compensation package including stock options.
• Fully remote team – choose where you live.
• Work from home stipend!
• Apple laptops provided for new employees.
• Training and development budget for every employee, refreshed each year.
• Maternity & Paternity leave for qualified employees.
• Work with smart people who will help you grow and make a meaningful impact.
• Company-sponsored US health coverage (100% paid for employee).

Diversity, Equity, and Inclusion at Constructor At Constructor.io, we are committed to cultivating a work environment that is diverse, equitable, and inclusive. As an equal opportunity employer, we welcome individuals of all backgrounds and provide equal opportunities to all applicants regardless of their education, diversity of opinion, race, color, religion, gender, gender expression, sexual orientation, national origin, genetics, disability, age, veteran status, or affiliation in any other protected group.

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As a Senior Machine Learning Engineer on the Ranking team, you will be responsible for enhancing the quality of our ranking systems, ensuring that search, browse, and autocomplete experiences are highly relevant, personalized, and diverse.

Responsibilities

• Design and develop ML-based ranking solutions to drive improvements in key business metrics such as conversion, engagement, and user satisfaction.
• Analyze ranking performance and identify gaps in search, browse, and autocomplete experiences, focusing on relevance, personalization, attractiveness, diversification, and other quality signals.
• Innovate and optimize ranking algorithms to advance the ranking pipeline, improve ranking quality, and meet evolving business needs.

Requirements

• At least 4 years of experience with Python for machine learning and backend development.
• At least 4 years of experience developing, deploying, and maintaining machine learning models with a strong focus on ranking systems for search, recommendations, or similar applications.
• Experience in large-scale ML model training, evaluation, and optimization, with a focus on real-time inference and serving.
• Experience with big data frameworks such as Spark for processing large datasets and integrating them into ML pipelines.
• Proficiency in using tools like SQL, PySpark, Pandas, and other frameworks to extract, manipulate, and analyze data.
• Experience with data pipeline orchestration tools like Airflow or Luigi to manage and automate workflows for ML training and signal delivery.

Benefits

• Unlimited vacation time.
• Fully remote team.
• Work from home stipend.
• Apple laptops provided for new employees.
• Training and development budget for every employee.
• Maternity & Paternity leave for qualified employees.
• Base salary: $80k–$120k USD, depending on knowledge, skills, experience, and interview results.
• Stock options.
• Regular team offsites to connect and collaborate.

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We are hiring Data Analysts to work across multiple teams at Constructor, including Data Science Integrations, Ranking, Recommendations, and Personalization. In this role, you will work at the intersection of data, product, and machine learning.

Responsibilities

• Analyze user behaviour and large-scale datasets to identify patterns, issues, and opportunities for improvement
• Design, run, and analyze A/B tests to evaluate product changes and measure impact on key business metrics
• Define and validate metrics that reflect both user experience and business outcomes
• Build dashboards, reports, and data tools to support decision-making across teams
• Partner with customers, engineering, product, and business teams to translate insights into product improvements

Requirements

We are looking for strong analytical thinkers who are comfortable working with data to drive product and business decisions. Core skills:

• Strong analytical skills and experience solving business problems using data
• Solid knowledge of SQL and experience working with large datasets
• Experience with Python for data analysis (pandas, NumPy, visualization libraries)
• Understanding of A/B testing and statistical concepts

Product & data understanding:

• Understanding of machine learning pipelines, training data quality, and model evaluation
• Familiarity with ranking, recommendations, or search relevance is a plus
• Experience defining metrics, building metric trees, and analyzing product funnels

Communication & ownership:

• Ability to communicate insights clearly and translate business needs into analytical solutions
• Comfortable working with multiple stakeholders in a fast-paced environment

Benefits

• Work with smart and empathetic people who will help you grow and make a meaningful impact
• Regular team offsite events to connect and collaborate
• Fully remote team - choose where you live
• Unlimited vacation time - we strongly encourage all of our employees take at least 3 weeks per year
• Work from home stipend
• Apple laptops provided for new employees
• Training and development budget for every employee, refreshed each year
• Maternity & Paternity leave for qualified employees
• Base salary: $80k–$120K USD, depending on knowledge, skills, experience, and interview results
• Stock options - offered in addition to the base salary

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Constructor is the next-generation platform for search and discovery in ecommerce, built to explicitly optimize for metrics like revenue, conversion rate, and profit.

Our search engine is entirely invented in-house utilizing transformers and generative LLMs, and we use its core and personalization capabilities to power everything from search itself to recommendations to shopping agents.

Engineering is by far our largest department, and we’ve built our proprietary engine to be the best on the market, having never lost an A/B test to a competitive technology.

We’re a team who love solving problems and want to make our customers’ and coworkers’ lives better.

About You

You're a product designer who owns problems, not screens. You're comfortable with ambiguity, can partner with PMs to shape direction, and know how to translate research insights into production-ready interfaces, working closely with engineers.

The Team

Our AI Agent Tools team is building a new category of e-commerce experience: intelligent agents that guide shoppers, learn from merchandiser expertise, and drive real business outcomes.

Responsibilities

You'll be designing the future of product discovery: the moment a shopper goes from intent to purchase, reimagined through AI.

• You'll define what agentic shopping looks like , Not just chatbots bolted onto search, but genuinely new interaction patterns where AI understands what a shopper wants and helps them get there.

• You'll shape how merchandisers control it , You will collaborate with Agent Orchestrators,professionals blending data analysis, design, and shopper psychology,to design the dashboard tools that allow them to configure, train, and optimize new shopping journeys without engineering support.

• You'll prove it works in the real world , From running UI experiments on live retailer sites to validating new shopping experiences with actual shopper data, your designs ship and get measured.

What You'll Own

• Research & validation , Conducting shopper research and running experiments alongside product and data teams to validate hypotheses with real input.

• Interaction design for agentic experiences , Mapping novel user flows where AI/LLMs drive the shopping journey, for both shoppers and the merchandisers who orchestrate them.

• Visual strategy , Defining a bold design direction that represents what product discovery looks like in 2027.

• High-fidelity delivery , Producing final mockups and assets across key surfaces: homepage, search, PDP, filtering, guided shopping, and agent configuration.

• UX patterns , Ensuring designs scale within Constructor’s evolving design system and component library.

Benefits

• Work with smart and empathetic people who will help you grow and make a meaningful impact.

• Regular team offsite events to connect and collaborate.

• Fully remote team - choose where you live.

• Unlimited vacation time - we strongly encourage all of our employees take at least 3 weeks per year.

• Work from home stipend! We want you to have the resources you need to set up your home office.

• Apple laptops provided for new employees.

• Training and development budget for every employee, refreshed each year.

• Maternity & Paternity leave for qualified employees.

• Stock options - offered in addition to the base salary

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The ideal candidate brings deep leasing expertise, strong financial acumen, and the ability to build scalable systems, operate effectively in ambiguity, and translate complex tradeoffs into clear executive decisions and durable outcomes.

"+"In this role, you will:

• Define and drive global real estate strategy balancing cost, flexibility, speed, and long-term growth.
• Lead and develop a high-performing team while building strong cross-functional partnerships across regions.
• Own end-to-end lease transactions (strategy → site selection → negotiation → execution) and secure best-in-class outcomes.
• Act as a senior thought partner to executives, shaping high-stakes decisions with clear, data-driven recommendations.
• Develop portfolio strategies, financial models, and scenario analyses to inform investment decisions and tradeoffs.
• Build scalable frameworks, playbooks, and operating mechanisms that improve speed, quality, and consistency.
• Drive company-wide real estate decisions aligned to broader business, talent, and infrastructure strategy.
• Oversee portfolio governance (expirations, risk, obligations) and ensure proactive, disciplined execution.
• Lead budgeting, forecasting, and reporting in partnership with Finance and Accounting, ensuring strong controls.
• Drive alignment across Legal, Workplace, Finance, Security, EHS, and other stakeholders on transactions and operations.
• Build analytics and reporting systems to improve visibility, prioritization, and portfolio performance.
• Establish strong external partnerships (landlords, brokers, operators) and leverage AI/tools to enhance execution and outcomes.

"+"You might thrive in this role if you have:

• 8–12+ years of experience leading corporate real estate transactions across commercial office and industrial/warehouse environments; in-house experience strongly preferred.
• Advanced expertise in lease negotiation and interpretation, portfolio strategy, financial modeling, and risk assessment.
• Proven ability to lead and develop high-performing teams in fast-paced environments, while producing clear, executive-ready recommendations and decision materials.
• Strong communication and judgment, with the ability to navigate ambiguity, influence stakeholders, and independently solve complex problems.
• Ability to balance long-term strategic planning with hands-on execution, moving seamlessly from portfolio strategy to detailed transaction and lease review.

Proficiency with AI-enabled tools, Google and Microsoft Suites, and lease administration systems.

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You will analyze how users think, feel, and behave in interaction with AI systems,especially in high-risk contexts such as self-harm, manipulation, coercion, and influence,and translate these insights into decision-ready risk assessments, mitigation strategies, and product guidance.

This role bridges clinical/behavioral expertise and intelligence analysis, turning psychological signals and patterns into structured judgments, early indicators, and actionable recommendations.

You will partner closely with investigators, engineers, policy, and trust & safety teams to shape how we understand and mitigate potential risks in human-AI interactions.

Key responsibilities include:

• Developing insights into how AI systems are used in complex or high-risk situations (e.g., self-harm, suicidal ideation, substance-use escalation, and threats of violence), identifying recurring patterns and emerging trends that help guide product, safety, and policy decisions.

• Synthesizing behavioral, psychological, and intelligence signals into clear narratives about user needs, system dynamics, and potential areas of risk or vulnerability.

• Producing decision-ready briefs and assessments that inform product, safety, and policy decisions.

• Developing and refining behavioral risk frameworks, taxonomies, and indicators (e.g., severity models, escalation pathways, psychological harm categories).

• Identifying early indicators of emerging issues and assessing whether observed patterns represent meaningful safety concerns, helping prioritize and inform appropriate mitigations.

• Assessing the effectiveness of mitigations,such as product changes, safeguards, and guidance,using behavioral evidence and real-world outcomes.

• Contributing to incident reviews and post-incident analysis by bringing a behavioral perspective to root cause analysis and prevention.

• Bridging research and operations, translating academic and clinical literature into practical safeguards, policies, and product decisions.

You might thrive in this role if you:

• Bring 5+ years in forensic, clinical, trust and safety, or applied academic settings assessing risk of violence, self-harm, or addiction, with strong mixed-methods research skills.

• Have familiarity with AI systems, language models, or human-AI interaction dynamics, and are interested in applying psychological expertise to emerging AI risks (experience working on AI safety, trust & safety, or related domains is a plus).

• Can translate human behavior into structured intelligence, connecting individual cases to system-level patterns and risks.

• Are comfortable working across qualitative and quantitative inputs, including casework, interaction data, research literature, and metrics.

• Have experience designing or using risk frameworks, taxonomies, or evaluation methods to structure ambiguity.

• Communicate clearly across disciplines, turning complex behavioral insights into concise, actionable recommendations.

• Thrive in fast-moving, ambiguous environments, and can prioritize effectively under uncertainty.

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Join us and you’ll keep millions of users listening by making great recommendations to each and every one of them.

Samba sits at the heart of Spotify’s personalization engine, powering experiences like autoplay, radio, and personalized mixes. We work on complex sequencing and optimization problems,balancing what users love with how Spotify supports creators and the business.

Our team blends machine learning, backend engineering, and data expertise, and collaborates across North America and Europe to deliver impactful, real-time personalization at scale.

What You'll Do

• Design and build machine learning systems that optimize ranking and sequencing across personalized surfaces

• Develop multi-objective optimization strategies that balance user satisfaction with business outcomes

• Collaborate closely with cross-functional partners including product, data science, and engineering teams to align on goals, share context, and deliver impactful solutions

• Work across ML, backend, and data layers to bring models into production

• Contribute to scalable infrastructure supporting high-volume user interactions

• Run experiments and use insights to continuously improve performance

• Help shape technical direction and raise the bar for engineering excellence within the team

Who You Are

• You have 5+ years of experience in machine learning, data, or backend engineering

• You are experienced with production-grade systems and scalable architectures

• You have worked on recommendation systems, ranking, or optimization problems

• You bring a T-shaped skillset across ML, data, and backend domains

• You are comfortable navigating ambiguity and solving complex problems

• You care about user experience and measurable impact

• You enjoy collaborating across disciplines and geographies

Where You'll Be

• This role is based in London or Stockholm

• We offer you the flexibility to work where you work best! There will be some in-person meetings, but still allows for flexibility to work from home.

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Responsibilities:

• Lead the technical architecture of Spotify's Agent Engine
• Guide the transition of existing agent-powered features into a unified system
• Design how internal systems can be exposed as agent capabilities
• Build and improve evaluation systems that help teams measure quality, reliability, and user impact with confidence
• Partner with research and machine learning teams to define what belongs in system design versus model capabilities
• Explore and prototype new approaches to agent-based systems, and bring successful ideas into production at scale
• Support best practices in building production-ready AI systems, including experimentation, observability, and performance optimization
• Contribute to technical standards that help teams move faster while maintaining security and reliability

Requirements:

• You are comfortable working across system design, infrastructure, and machine learning concepts, and enjoy connecting these areas
• You have experience with areas such as agent orchestration, LLM infrastructure, evaluation systems, or data pipelines for machine learning
• You have worked on platform or consolidation efforts that bring multiple systems or teams together
• You are able to make progress in ambiguous problem spaces and bring structure to open-ended challenges
• You communicate clearly and work well with engineering, product, and research partners across different levels of the organization
• You stay informed on developments in AI and are motivated to apply new ideas in practical ways
• You take a pragmatic approach to building, using prototypes and iteration to move ideas forward
• You take ownership of outcomes and proactively manage risks, trade-offs, and expectations

Where You'll Be:

• We offer you the flexibility to work where you work best! For this role, you can be within the North America region as long as we have a work location
• This team operates within the Eastern Standard time zone for collaboration

Additional Information:

• The United States base range for this position is $281,196 - $401,709 plus equity
• The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays, paid sick leave
• These ranges may be modified in the future

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In this role, you will translate research into production by advancing the state of the art and applying it to meet today’s AI needs. You will drive the design, development, execution, and implementation of research projects, using scientific principles and techniques to develop, evaluate, and deploy algorithms and solutions that improve system performance, quality, data management, and accuracy.

Join us to shape the future of AI and deliver meaningful value to millions of users. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Responsibilities:

• Develop deep expertise across a broad research area and relevant techniques; stay current on industry trends and advances; and apply these insights to shape product and platform direction.
• Partner with stakeholders to understand business and product requirements; incorporate research insights; and provide strategic technical direction for problem solving with solid scientific rigor and measurable business impact.
• Mentor and inspire peers and new research talent; build relationships and advocate for research initiatives; share results through industry outreach; collaborate with academia; and strengthen the recruiting pipeline.
• Document experiments and outcomes; communicate learnings to accelerate innovation; and help define best practices, including ethics and privacy considerations for research processes and data collection.
• Guide and mentor junior team members in developing new technologies that translate into production-ready solutions.
• Work closely with partner teams across Microsoft AI to understand shared needs and build a technical roadmap to address them.

Qualifications:

• Bachelor’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research) OR Master’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR equivalent experience.
• 5+ years experience creating publications (e.g., patents, libraries, peer-reviewed academic papers).
• 2+ years experience presenting at conferences or other events in the outside research/industry community as an invited speaker.
• 5+ years experience conducting research as part of a research program (in academic or industry settings).
• 3+ years experience developing and deploying live production systems, as part of a product team.
• 3+ years experience developing and deploying products or systems at multiple points in the product cycle from ideation to shipping.
• 8+ years of experience in product development in machine learning and related areas.
• Hands-on experience developing algorithms and models using deep learning frameworks such as TensorFlow and PyTorch.
• Active research in at least one of the following areas: LLM training, artificial intelligence, data science, information retrieval, machine learning, or natural language processing.
• Demonstrated excellence in communication and cross-team collaboration.
• Ability to think big while delivering measurable real-world impact through design and development.
• Solid understanding of web documents and web data processing and understanding concepts, methods, applications, and challenges.
• Experience with Big Data (Spark, Mapreduce, Cosmos, etc.) and NRT systems
• Experience with Search or recommendations.

#MicrosoftAI Applied Sciences IC5 – The typical base pay range for this role across the U.S. is USD $139,900 – $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 – $304,200 per year.

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You will set technical direction, mentor a high-caliber science cohort, and partner closely with engineering, PM, UXR, and policy to ship end-to-end outcomes. You will contribute to the development of the next generation of MSN that is adopting the latest generative AI techniques.

Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees, we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day, we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Responsibilities:

• Lead content-quality understanding at scale.
• Design and deploy models that assess credibility, usefulness, freshness, safety, and diversity across modalities; reduce misinformation/toxicity error rates through prompt- and model-level innovations; build human-in-the-loop and active-learning pipelines that get better over time.
• Champion safety & trust. Partner with policy and platform teams to encode safety standards and editorial principles into the ML system; create red-teaming, adversarial, and safeguard layers for generative and curated experiences.
• Scale E2E ML systems. Collaborate with engineering on data contracts, feature stores, distributed training/inference, and automated rollout/rollback; drive architectural investments that increase agility and reliability of Discover's AI platform.
• Own evaluation and experimentation. Define offline metrics (e.g., Rejection Rate, ERR, Defect Rate) and online methodologies (A/B tests, interleaving, counterfactual & bandit approaches) to confidently attribute business impact and guard against regressions.
• Mentor & influence. Provide technical leadership across problem framing, methodology selection, code quality, and publishing/knowledge-sharing; uplevel peers through design reviews, deep-dives, and principled decision-making.
• Stay close to users. Translate user engagements and behavioral history into model objectives and product bets; ensure our AI solutions elevate relevance, transparency, and engagement for real users.

Qualifications:

• Bachelor’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field & related experience (e.g., statistics predictive analytics, research) OR Master’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field experience (e.g., statistics, predictive analytics, research) OR equivalent experience.
• Experience working with natural language understanding.
• Experience in Python and at least one major deep learning framework (PyTorch/TensorFlow) with large-scale data processing and training.
• Experience with evaluation & experimentation (offline metrics, A/B testing, bandits) and ML model development lifecycle.
• Preferred Qualifications: Master’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND related experience (e.g., statistics, predictive analytics, research) OR equivalent experience.
• Have publications at top AI/ML conferences (e.g., KDD, SIGIR, EMNLP, NIPS, ICML, ICLR, RecSys, ACL, CIKM, CVPR, ICCV, etc.).
• Expertise with LLMs (prompting, RAG, Parameter-Efficient Fine-Tuning), multimodal modeling, and retrieval-augmented recommendation; familiarity with counterfactual learning and multi-objective optimization.
• Experience building content integrity/safety systems (e.g., misinformation, harmful content, low-quality/duplicate detection) and quality-aware ranking.
• Demonstrated ability to lead cross-disciplinary efforts (PM, ENG, UXR, editorial/policy) from idea to shipped business impact; mentoring scientists and setting technical vision.
• Familiarity with Microsoft stack (e.g., Azure ML, Kusto, Synapse, Azure AI Foundry).

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

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Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime.

At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the flexibility to do your best work.

Creating a career you love? It's Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that.

To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think.

You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

As a machine learning intern in our Advance Technology Group at Pinterest, you will be exposed to a full spectrum of ML product development. The team focuses on developing cutting-edge technologies for Pinterest’s visual understanding modules and recommender systems.

You'll conduct research that can be applied across Pinterest engineering teams and engage in external collaborations and mentoring, while also having opportunities to deploy features to hundreds of millions of users or conduct research applicable for paper submissions.

We offer a 12-week fall internship program remotely or in our San Francisco, Palo Alto, Seattle, or New York offices.

Note to applicants: By applying to this role, you will be considered for multiple intern roles open across our various ML teams. Please only apply once within the USA or Canada as multiple applications may delay our recruitment process.

Internships are 12 weeks paid from September 21 - December 11, 2026.

Depending on the team, our fall internships will be located either remote or hybrid in San Francisco, Palo Alto, New York or Seattle offices.

What you’ll do:

• Develop and launch new user features using unique internal datasets and ML techniques, especially in recommendation systems, computer vision, representation learning, generative AI, and responsible AI.

• Gain hands-on experience with production ML systems, including algorithmic research, infrastructure, data engineering, training, inference, and product, to deliver innovative solutions.

You will be exposed to full-stack production ML systems.

• Leverage frontier AI tools and agents to accelerate engineering implementation, including prototyping and experimentation work.

• Validate AI-generated outputs through testing, code review, and critical thinking, ensuring solutions are accurate, maintainable, secure, and aligned with team standards.

• Use AI to better understand unfamiliar code, investigate bugs, and summarize technical context or documentation.

• Contribute in cutting-edge research in machine learning and artificial intelligence that can be applied to Pinterest problems

• Write clean, efficient, and sustainable code

• Take proactive ownership over the completion and quality of your tasks and project with minimal guidance from your mentor, manager, and peers

What we’re looking for:

• This role will be on our Visual Search or Applied Science teams.

• We are looking for candidates with experience in Computer Vision, Visual Search, User Understanding, Recommendation Systems, Reinforcement Learning, ML efficiency optimization, Generative AI, and LLMs.

• Ability to legally work full time (40 hours/week) from September-December 2026

• Working towards a PhD degree in Computer Science, ML, NLP, Statistics, Information Sciences or related field

• Mastery of at least one systems language (Java, C++, Python) and one ML framework (Tensorflow, Pytorch, MLFlow)

• Proficiency with AI-native engineering, including the design of agent-friendly codebases.

• High degree of autonomy in learning new agent-first development tools.

• Strong critical thinking when working with AI-generated suggestions, with a clear approach to validating correctness, performance, security, and maintainability.

• Comfort iterating on prompts, refining workflows, and adapting AI-assisted approaches based on the problem, context, and constraints.

• Experience in research and in solving analytical problems

• Strong communicator and team player. Being able to find solutions for open-ended problems.

Preferred Qualifications:

• Publications in machine learning, AI, data science, data analytics, statistics, or related technical fields

• Strong passion for research and for answering hard questions with research

• Passion for applied ML and the Pinterest product

Why Intern at Pinterest?

• Meaningful Work: Contribute to projects that impact millions of users worldwide.

• Mentorship: Learn from and be guided by experienced engineers and researchers in the field.

• Growth and Development: Participate in professional development workshops and networking events to build your skills and connections.

In-Office Requirement Statement:

• We let the type of work you do guide the collaboration style. That means we’re not always working in an office, but we continue to gather for key moments of collaboration and connection

• This role may require you to be located near an office for in-person collaboration, and therefore may need to be located a commutable distance from one of our Pinterest offices.

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found here.

US based applicants only

The salary for this position is $12,100 monthly.

#LI-HYBRID #LI-EB1

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As a Senior Staff, you will design and build a large-scale system that powers end-to-end search relevance at scale. You’ll work across multiple areas of the stack, including query understanding, retrieval, ranking, features, measurement, LLM-based answers, RAG etc, partnering deeply with product, org leads, and other XFN to deliver reliable, high quality systems that can help Reddit Search scale to billions of users.

Key responsibilities include:

Contribute to advancing Reddit's Search and Recommendations products by designing AI-driven Search experience prioritizing seamless and delightful user experience.

Deeply understand the Reddit search product and drive the vision for the search relevance team.

Enhance core search retrieval and ranking, design and implement new search engine features, build and scale search indexes, develop and test new pipeline components.

Collaborate across disciplines and with ML, Product, Infrastructure, and DS teams at Reddit to find technical solutions to complex challenges.

Mentor and guide senior and staff engineers in the team.

Influence org-wide technical direction and partner closely with senior leadership to shape the long-term roadmap.

We are looking for someone with 10+ years of industry experience with deep expertise in large-scale search and recommendation systems. You should have a proven ability to identify key opportunities, define roadmaps and drive scalable improvement in search relevance. Strong experience in building and deploying large-scale ML models using frameworks such as PyTorch or Tensorflow is also required.

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You will work on core components of the PyTorch ecosystem, including model execution, distributed training, performance optimization, and developer experience.

Responsibilities:

• Design and build core PyTorch capabilities across runtime, autograd, distributed training, and model execution
• Optimize performance across GPU/accelerator backends (CUDA, Triton, etc.)
• Contribute to or lead development of large-scale ML systems and infrastructure
• Improve model training efficiency, scalability, and reliability across multi-node environments
• Work on compilers / graph transformations / kernel optimization to accelerate deep learning workloads
• Partner with researchers and applied teams to translate cutting-edge models into production systems
• Drive open-source contributions and collaborate with the broader PyTorch community
• Influence roadmap and architecture for next-gen AI platforms
• Work at the forefront of AI and accelerated computing
• Direct impact on how PyTorch runs on the world's most advanced GPU platforms
• Collaborate across hardware, systems software, and AI research to push performance boundaries and enable breakthroughs in generative AI, autonomous systems, and high-performance computing

Requirements:

• PhD or MSc degree in Computer Science, Applied Math, Physics, or related science or engineering field (or equivalent experience)
• 8+ years of software development experience
• Strong programming skills in C++ and Python
• Deep understanding of deep learning frameworks, preferably PyTorch
• Experience with GPU programming (CUDA or similar) and performance optimization

Preferred qualifications:

• Contributions to PyTorch core or ecosystem libraries
• Experience with NVIDIA AI stack (TensorRT, Triton Inference Server, cuBLAS, cuDNN, NCCL)
• Familiarity with ML compilers (TorchInductor, Triton, XLA, TVM)
• Experience optimizing LLMs or large-scale recommendation / vision models
• Background working closely with hardware-aware software optimization

Benefits:

• Competitive salaries
• Generous benefits package
• Eligible for equity

Application deadline: April 27, 2026

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We are at the forefront of integrating Generative AI and agentic systems into large-scale recommendation pipelines. We are seeking a Senior Applied Scientist to design, build, and optimize ranking and recommendation models that directly impact user engagement across Microsoft’s content ecosystem.

In this role, you will work hands-on with cutting-edge deep learning and LLM-enhanced ranking systems while collaborating closely with engineering and product partners to deliver production-quality solutions at scale.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Design & implement ranking, reranking, and retrieval models using deep learning, LLMs, and advanced recommendation techniques.

Own end-to-end ML pipelines , feature engineering, model training, offline/online evaluation, and production inference optimization.

Innovate by applying state-of-the-art methods including LLM-enhanced ranking, contextual bandits, reinforcement learning, and generative recommendation approaches.

Collaborate cross-functionally with engineering, product, and platform teams to translate research insights into shipped features.

Contribute to technical direction within the team , propose experiments, identify opportunities, and drive projects from ideation to production.

Mentor less experienced scientists and engineers, fostering a culture of technical excellence and knowledge sharing.

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We are at the forefront of integrating Generative AI and agentic systems into large-scale recommendation pipelines. We are seeking a Senior Applied Scientist to design, build, and optimize ranking and recommendation models that directly impact user engagement across Microsoft’s content ecosystem.

In this role, you will work hands-on with cutting-edge deep learning and LLM-enhanced ranking systems while collaborating closely with engineering and product partners to deliver production-quality solutions at scale.

Responsibilities:

• Design & implement ranking, reranking, and retrieval models using deep learning, LLMs, and advanced recommendation techniques.
• Own end-to-end ML pipelines , feature engineering, model training, offline/online evaluation, and production inference optimization.
• Innovate by applying state-of-the-art methods including LLM-enhanced ranking, contextual bandits, reinforcement learning, and generative recommendation approaches.
• Collaborate cross-functionally with engineering, product, and platform teams to translate research insights into shipped features.
• Contribute to technical direction within the team , propose experiments, identify opportunities, and drive projects from ideation to production.
• Mentor less experienced scientists and engineers, fostering a culture of technical excellence and knowledge sharing.

Qualifications:

• Bachelor’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics predictive analytics, research) OR Master’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research) OR equivalent experience.
• 4+ years of industry experience in applied science, machine learning, or deep learning at scale.
• Solid foundation in recommendation systems, ranking models, or search relevance.
• Hands-on experience with deep learning frameworks (PyTorch or TensorFlow) and cloud-scale ML infrastructure.
• Proficiency in Python and data processing tools (Spark, Pandas, or equivalent).
• Track record of shipping ML models to production with measurable user impact.
• Experience with LLM-based ranking, retrieval-augmented generation (RAG), or generative recommendation systems.
• Familiarity with multi-objective optimization, heterogeneous signal fusion, or user modeling.
• Experience with online experimentation (A/B testing, interleaving) and metrics-driven development.
• Publications at top venues (NeurIPS, ICML, KDD, WWW, RecSys, SIGIR).
• Exposure to agentic AI systems or autonomous content curation pipelines.
• Experience with distributed ML training and large-scale data pipelines.

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In this role, you will:

• Take ownership of the review, negotiation, drafting and management of a wide range of legal agreements.
• Advise Twilio's internal clients on contract interpretation and negotiation.
• Champion Twilio's mission, ethics and integrity by ensuring Twilio's compliance policies are in practice and protect the company from risk, comply with all applicable local laws and regulations, and are in line with Twilio's values.
• Seek to understand the context of the positions of Twilio's customers and the requests from Twilio's internal clients.
• Strive to solve problems and address issues from their perspectives.
• Evaluate which matters and issues are most worthy or in need of your attention at any given time.

To be successful in this role, you will need to have strong academic credentials and demonstrated record of success as a lawyer. You will need to have 5+ years of commercial transactions experience with at least 3 years of negotiating complex technology transactions (e.g., SaaS). You will need to have experience supporting a large sales organization. You will need to be able to structure, draft and negotiate a high volume and broad range of commercial contracts, including Master Services Agreements, Professional Services Agreements, Non-Disclosure Agreements, etc. You will need to be able to provide entrepreneurial, quick-thinking, pragmatic, business-oriented advice and recommendations that properly balances the legal risk and business reward. You will need to be able to take complex legal concepts and explain them in a way that allows a non-lawyer to understand the issue and the associated risk. You will need to have outstanding communication skills, both written and verbal, including the ability to advocate for a position while maintaining a collaborative and open-minded approach. You will need to be able to triage a heavy workflow, setting appropriate expectations with internal clients and delivering results efficiently.

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Your scope includes Related Searches, People Also Ask, Conversational Suggestion Pills, and other new follow-on experiences as the space evolves. This role is designed for a solid individual contributor who operates with autonomy, thrives in ambiguous problem spaces, and drives meaningful customer and business impact through product judgment and cross-team collaboration.

You will work closely with engineering, design, data science, and partner teams to define product direction for follow-on suggestions, ship high-quality experiences, and deliver measurable improvements in engagement, task success, and session depth across Search and Copilot surfaces.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees, we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day, we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Responsibilities:

Own product direction and outcomes for Follow-On Suggestion Experiences,including Related Searches, People Also Ask, Conversational Suggestion Pills, and future follow-on experiences ,from problem framing through execution to measurable impact on task completion and engagement.

Drive coherent and seamless follow-on experiences across Search and Copilot, partnering with cross-org teams to ensure consistent user journeys and shared patterns across surfaces.

Set and sustain a high-velocity product operating rhythm by creating clarity, generating energy, and reducing friction,accelerating decision-making and maintaining a high bar for pace, ownership, and execution.

Enable rapid shipping, learning, and iteration by leveraging AI-powered tooling and tight cross-functional collaboration to compress delivery cycles and increase experimentation throughput.

Identify and pursue high-impact opportunities to improve session depth, engagement, task success, and retention through data-driven insights and experimentation across follow-on suggestion surfaces.

Frame ambiguous problem spaces effectively, define clear success metrics, and translate insights into well-prioritized product bets and roadmaps for follow-on experiences.

Partner closely with engineering and data science to make informed trade-offs across UX quality, velocity, scalability, and model performance for suggestion relevance and presentation.

Define and evolve metrics, evaluation frameworks, and experiments to assess follow-on experience quality, growth impact, and long-term user value.

Communicate product strategy, trade-offs, and outcomes to senior stakeholders, driving alignment and informed decision-making.

Contribute to team-wide product excellence through design reviews, strategic thinking, and sharing reusable approaches that scale beyond a single problem area.

Qualifications:

Required Qualifications:

Bachelor’s Degree AND 4+ years experience in product/service/program management or software development. OR equivalent experience.

Track record of shipping consumer-facing product experiences with measurable impact on engagement or task success.

Solid product judgment and strategic thinking, with the ability to connect customer needs to product direction and business outcomes.

Customer empathy and UX intuition, especially in consumer-scale search, AI, or content discovery experiences.

Solid analytical skills and comfort using data, experimentation, and evaluation frameworks to drive decisions.

Experience collaborating across engineering, design, and data science in fast-paced, ambiguous environments.

Excellent communication skills with the ability to influence stakeholders and drive alignment.

Preferred Qualifications:

Bachelor’s Degree AND 6+ years experience in product/service/program management or software development. OR equivalent experience.

Experience with search, recommendation, or suggestion systems at consumer scale.

Experience working on AI-powered or LLM-driven user experiences.

3+ years experience taking a product, feature, or experience to market (e.g., design, addressing product market fit, and launch).

4+ years experience improving product metrics for a product, feature, or experience in a market (e.g., growing engagement, expanding usage, improving task completion).

Experience influencing without authority and aligning partner teams across organizational boundaries.

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As one applied scientist in the team, your major responsibilities include: Thinking through the product scenarios and goals, identifying key challenges and designing experimental processes for iteration and optimization. Offline model training and optimizing, collaborating with platform teams on online serving and perf optimization for shipping. Keeping on track of research trends in the fields of personalized recommendation, deep learning, and AI. Working independently and collaboratively with other team members.

Qualifications: Master/PhD in computer science or related fields focusing on machine learning and AI. 3+ years' experiences in areas of machine learning, natural language processing, or large-scale data mining. Solid coding skills and good experience on deep learning frameworks like PyTorch, TensorFlow, CNTK, etc. Preferred: Working/research experiences on recommendation areas are good plus. Good communication skills and self-motivation.

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We are at the forefront of integrating Generative AI and agentic systems into large-scale recommendation pipelines. We are seeking a Senior Applied Scientist to design, build, and optimize ranking and recommendation models that directly impact user engagement across Microsoft’s content ecosystem.

In this role, you will work hands-on with cutting-edge deep learning and LLM-enhanced ranking systems while collaborating closely with engineering and product partners to deliver production-quality solutions at scale.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Responsibilities:

• Design & implement ranking, reranking, and retrieval models using deep learning, LLMs, and advanced recommendation techniques.
• Own end-to-end ML pipelines , feature engineering, model training, offline/online evaluation, and production inference optimization.
• Innovate by applying state-of-the-art methods including LLM-enhanced ranking, contextual bandits, reinforcement learning, and generative recommendation approaches.
• Collaborate cross-functionally with engineering, product, and platform teams to translate research insights into shipped features.
• Contribute to technical direction within the team , propose experiments, identify opportunities, and drive projects from ideation to production.
• Mentor less experienced scientists and engineers, fostering a culture of technical excellence and knowledge sharing.

Qualifications:

• Bachelor’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics predictive analytics, research) OR Master’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research) OR equivalent experience.
• 4+ years of industry experience in applied science, machine learning, or deep learning at scale.
• Solid foundation in recommendation systems, ranking models, or search relevance.
• Hands-on experience with deep learning frameworks (PyTorch or TensorFlow) and cloud-scale ML infrastructure.
• Proficiency in Python and data processing tools (Spark, Pandas, or equivalent).
• Track record of shipping ML models to production with measurable user impact.
• Experience with LLM-based ranking, retrieval-augmented generation (RAG), or generative recommendation systems.
• Familiarity with multi-objective optimization, heterogeneous signal fusion, or user modeling.
• Experience with online experimentation (A/B testing, interleaving) and metrics-driven development.
• Publications at top venues (NeurIPS, ICML, KDD, WWW, RecSys, SIGIR).
• Exposure to agentic AI systems or autonomous content curation pipelines.
• Experience with distributed ML training and large-scale data pipelines.

#MicrosoftAI Applied Sciences IC4 – The typical base pay range for this role across the U.S. is USD $119,800 – $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 – $258,000 per year.

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

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Honda has a clear vision for the future, and it’s a joyful one. We are looking for individuals with the skills, courage, persistence, and dreams that will help us reach our future-focused goals. At our core is innovation. Honda is constantly innovating and developing solutions to drive our business with record success. We strive to be a company that serves as a source of “power” that supports people around the world who are trying to do things based on their own initiative and that helps people expand their own potential. To this end, Honda strives to realize “the joy and freedom of mobility” by developing new technologies and an innovative approach to achieve a “zero environmental footprint.”

We are looking for qualified individuals with diverse backgrounds, experiences, continuous improvement values, and a strong work ethic to join our team.

If your goals and values align with Honda’s, we want you to join our team to Bring the Future!

JOB PURPOSE:

Lead in development of problem solving, continuous improvement and associate mentoring/development, in alignment with efficient production, new model introduction, business plan implementation and innovation to achieve or exceed targets that promote associate success.

KEY ACCOUNTABILITIES:

Recommend strategic investments in technology, tools, and processes to support future product lines and production capacity

Continuous development of self, colleagues and team through training and mentoring to proactively improve areas of management expertise for personal and team growth

Identify risks, remove barriers, and maintain alignment across engineering, operations, supply chain, and production teams

Evaluate and assess concerns identified by team to help or guide them to address or correct and resolve issues utilizing PDCA

Define and maintain a multiyear engineering roadmap aligned with business goals and manufacturing requirements

Manage projects for business plan and new model from concept through launch, ensuring on-time and on-budget delivery

Manage required organizational resources (manpower, structure, budget) necessary to achieve operational expectations

Collaborate in the development of Business Plan Strategy and new technologies or model introductions to improve production characteristics and ensure voice of the floor is heard

Ensure engineering work complies with manufacturing standards, regulatory requirements, and internal quality systems

QUALIFICATIONS, EXPERIENCE, & SKILLS:

• Minimum educational qualifications: Bachelor's degree in engineering or engineering technology (e.g., mechanical, electrical, industrial and robotics) or other equivalent relevant work experience.
• Minimum relevant work experience: 8 to 12 or more years experience of based on education
• Other job-specific skills:
• Knowledge and experience with Honda business planning process.
• Expertise within manufacturing department of assignment.
• Background in model development, forecasting, or capacity planning
• Strong presentation skills for communicating forecasts, risks, and strategic recommendations
• Be a pro-active problem-solver who anticipates risks and removes barriers.

Visa sponsorship issues:

This position is not eligible for work visa sponsorship

What differentiates Honda and makes us an employer of choice?

Total Rewards:

Competitive Base Salary (pay will be based on several variables that include, but not limited to geographic location, work experience, etc.)

Regional Bonus (when applicable)

Manager Lease Car Program (No Cost - Car, Maintenance, and Insurance included)

Industry-leading Benefit Plans (Medical, Dental, Vision, Rx)

Paid time off, including vacation, holidays, shutdown

Company Paid Short-Term and Long-Term Disability

401K Plan with company match + additional contribution

Relocation assistance (if eligible)

Career Growth:

Advancement Opportunities

Career Mobility

Education Reimbursement for Continued learning

Training and Development Programs

Additional Offerings:

Lifestyle Account

Childcare Reimbursement Account

Elder Care Support

Tuition Assistance & Student Loan Repayment

Wellbeing Program

Community Service and Engagement Programs

Product Programs

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The Manager, GCS supports teams to improve process effectiveness and performance and provides guidance in the development and maintenance of processes, systems and services owned by GCS.

This role coordinates, leads and delivers GCS services across projects and activities, ensuring operational excellence across all delivery models.

It also leads and project manages improvement initiatives that strengthen how clinical development is delivered and how patients ultimately benefit from our science.

As a key member of an activity team, the Manager, GCS coordinates and delivers GCS services, overseeing lifecycle management and business continuity for assigned projects, services and technologies.

The role provides expert support to user communities by conducting process, system and tool training, facilitating knowledge sharing, establishing best practices and maintaining clear communication with stakeholders across GCS and AstraZeneca.

It involves conducting critical analyses of processes and tools to define business usage, identifying opportunities to improve efficiency and effectiveness while reducing business continuity risks, and contributing to or developing business cases for continuous improvement projects.

The Manager, GCS leads or manages business improvement projects using lean principles, including planning, prioritising, implementing and tracking delivery.

Acting as a source of knowledge in one or more GCS areas, the role supports the implementation of changes that enhance how functions and teams perform.

It evaluates and monitors programme performance to ensure implementation stays on target, trains colleagues in continuous improvement and new ways of working, and helps embed a culture of change.

The role grows capabilities, applies new approaches to improve work, positively impacts team performance and creates learning opportunities for others.

It is also responsible for knowledge management of continuous improvement activities, ensuring insights are captured and used to shape future initiatives.

Ready to help transform how clinical development operates?

Essential Skills/Experience:

• BS, MS, or PhD in a biological or healthcare-related field with 2+ years of relevant pharmaceutical or clinical development industry experience

• Ability to work collaboratively; proven organisational and analytical skills, and proven skills to deliver to time, cost and quality

• Good project management skills

• Excellent knowledge of spoken and written English

• Strong business communication, stakeholder management and presentation skills

• Well-developed organisational and interpersonal skills

• Ensure risks and issues management to ensure effective delivery.

Expertly utilises escalation routes and governance to gain traction and deliver rapid solutions

Share lessons learned and best practice recommendations with relevant stakeholders to drive continuous improvement

Build relationships and achieve results without line management input

Curious and self-motivated

Desirable Skills/Experience:

• Experience utilising standard process improvement methodologies (e.g. Lean Six Sigma) to identify root causes of process issues and identify areas of process improvement

• Some experience with Quality Systems and Quality Management, including process definition and process improvement, ideally within an Information Systems environment

• Experience in multiple fields of clinical development

• Understanding of ICH GCP guidelines in relation to study delivery

• Experience working in a global organisation with complex/geographical context

When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines.

In-person working gives us the platform we need to connect, work at pace and challenge perceptions.

That's why we work, on average, a minimum of three days per week from the office.

But that doesn't mean we're not flexible.

We balance the expectation of being in the office while respecting individual flexibility.

Join us in our unique and ambitious world.

AstraZeneca offers the chance to follow the science end-to-end, from early discovery through late-stage development, in an environment where digital, data science and AI are embedded into everyday work.

Colleagues collaborate across disciplines and geographies to tackle complex diseases, learn from patients' experiences and translate ideas into life-changing medicines for people worldwide.

Continuous learning is encouraged through diverse projects, development programmes and exposure to different therapy areas, enabling meaningful careers built on curiosity, courage and scientific excellence.

If this role matches your skills and ambition, apply now to help shape the future of clinical development and make a real impact for patients!

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Key responsibilities include:

• Providing financial solutions and opportunities to your portfolio of clients
• Increasing wallet share of existing clients and identifying product opportunities within the business
• Conducting full needs assessments with current and potential Wealth customers and recommending appropriate banking, investment, and insurance products and services to meet individual needs, based on objectives, risk tolerance, and proper asset allocations
• Representing the Company in community organisations and activities to enhance the Company's image and maintain and grow a referral network for additional relationship opportunities while maintaining an active prospect pipeline.

As an HSBC employee, you will have access to tailored professional development opportunities to ensure you have the right skills for today and tomorrow. We offer a competitive pay and benefits package, including a robust Wellness Hub, all in a welcoming and inclusive work environment.

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You'll translate infrastructure and product capabilities into commercial propositions, partnering with Sales and Marketing to ensure international enterprise and government customers understand what Anthropic can deliver, and when. You'll serve as the internal subject matter expert on international readiness requirements, advising on deals, partnerships, and policy positions as they arise.

You'll build scalable processes for capturing, triaging, and acting on international product feedback so it doesn’t get lost in HQ product cycles. You'll serve as the GTM strategist for Anthropic’s mission-oriented international programs, including our approach to responsible AI deployment in democratic allied nations and our strategy for expanding access and affordability in Global South markets.

You'll partner with Policy, Beneficial Deployments, and Global Affairs to ensure mission programs have a viable commercial and infrastructure foundation, not just a policy framework. You'll track and synthesise the competitive landscape for sovereign AI and national AI programs, surfacing implications for Anthropic’s positioning and commercial strategy.

Responsibilities

• Contribute to Anthropic’s international compute strategy
• Develop a framework for evaluating and sequencing data residency and sovereign deployment requests
• Identify and document international customer requirements for product localization
• Translate infrastructure and product capabilities into commercial propositions
• Serve as the internal subject matter expert on international readiness requirements
• Build scalable processes for capturing, triaging, and acting on international product feedback
• Serve as the GTM strategist for Anthropic’s mission-oriented international programs
• Partner with Policy, Beneficial Deployments, and Global Affairs to ensure mission programs have a viable commercial and infrastructure foundation

Requirements

• 5–7 years in product, technical GTM, solutions engineering, or strategy roles with meaningful international scope
• Strong working knowledge of cloud infrastructure, data residency frameworks, and enterprise compliance requirements
• Experience working with or selling to government customers or regulated enterprises
• Ability to synthesise complex technical, regulatory, and geopolitical constraints into clear commercial and strategic recommendations
• Comfortable building internal processes from scratch
• High autonomy and strong written communication
• Direct experience with sovereign cloud programs, regulated data environments, or government AI initiatives is a plus
• Familiarity with EU AI Act, India DPDP Act, or similar regulatory frameworks shaping enterprise AI deployment internationally is a plus
• Experience at a hyperscaler, cloud provider, or enterprise SaaS company navigating international infrastructure decisions is a plus
• An interest in the intersection of AI, democratic governance, and responsible technology deployment is a plus
• Annual salary: £120,000-£170,000 GBP

$190,000-$270,000 USD

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Key responsibilities include:

• Design and implement automated ML and NLP pipelines for data preprocessing, query understanding and rewrite, ranking and retrieval, and model evaluation
• Collaborate with product managers and cross-functional teams to drive technology-first initiatives that enable novel business strategies and product roadmaps for the search and discovery experience
• Contribute to building a robust framework for evaluating search ranking improvements - both offline and online

The ideal candidate will have a strong understanding of computer science fundamentals, experience applying LLM to search relevance, and contributions to well-used open-source projects.

At Databricks, you'll have the opportunity to shape the future of AI-driven products, work with cutting-edge models, and collaborate with a world-class team of AI and ML experts.

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Key Responsibilities: Drive the development and deployment of ML based search and discovery relevance models and systems integrated with Databricks' products and services. Design and implement automated ML and NLP pipelines for data preprocessing, query understanding and rewrite, ranking and retrieval, and model evaluation, enabling rapid experimentation and iteration. Collaborate with product managers and cross-functional teams to drive technology-first initiatives that enable novel business strategies and product roadmaps for the search and discovery experience. Contribute to building a robust framework for evaluating search ranking improvements - both offline and online.

What We’re Looking For: BS+ (M.S. or PhD preferred) in Computer Science, or a related field. 6+ years experience developing search relevance systems at scale in production or in high-impact research environments. Experience applying LLM to search relevance - Experience in one or more of the following: Query understanding NLP Text mining Recommendations Personalization Discovery Conversational AI Strong understanding of computer science fundamentals. Contributions to well-used open-source projects.

Why Join Us? At Databricks, we are building state-of-the-art AI solutions that redefine how users interact with data and our products. You’ll have the opportunity to shape the future of AI-driven products at Databricks, work with cutting-edge models, and collaborate with a world-class team of AI and ML experts.

About Databricks Databricks is the data and AI company. More than 10,000 organisations worldwide , including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 , rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI.

Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees.

Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel.

Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

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At Gusto, we're on a mission to grow the small business economy. We handle the hard stuff , payroll, health insurance, 401(k)s, and HR , so owners can focus on their craft and their customers.

With teams in Denver, San Francisco, and New York, we support more than 400,000 small businesses nationwide and are building a workplace that reflects the people we serve.

All full-time employees receive competitive base pay, benefits, and equity (RSUs) , because everyone who helps build Gusto should share in its success. Offer amounts are determined by role, level, and location. Learn more about our Total Rewards philosophy.

AI is a fundamental part of how work gets done at Gusto. We expect all team members to actively engage with AI tools relevant to their role and grow their fluency as the technology evolves. AI experience requirements vary by role and will be assessed during the interview process.

About the Role:

Gusto is scaling our AI-powered risk function to support a complex, multi-entity business operating in highly regulated environments. As the Enterprise Risk Management Lead, you will own and operate Gusto's Enterprise Risk and Third Party Risk Management programs , built AI-first, designed to scale, and built to enable the business to move fast without breaking things.

This is a People Empowerer (manager) role. You balance hands-on program leadership with managing and developing a team of compliance professionals. You navigate the tension between "doing the work" and "leading the work" , contributing directly to complex, high-impact programs while ensuring your team delivers with excellence.

You are a change agent who influences how automated risk management gets done at Gusto, models AI-enabled ways of working, and helps others grow their own capabilities in the process.

You will champion the adoption of AI, machine learning, and process automation across risk monitoring, control testing, incident management, and reporting , and you will partner with Product, Data Science, and Engineering to make it explainable, adopted, compliant, and scalable.

Here’s what you’ll do day-to-day:

You manage initiatives that are complex in both scope and impact, influencing the strategic direction of Gusto's compliance risk management framework.

You apply a deep understanding of the regulatory landscape and how it intersects with Gusto's business model to proactively design and lead cross-functional risk programs.

You translate complex risk topics into clear, actionable guidance that senior leaders can immediately understand and operationalize.

You lead cross-functional working groups, align divergent perspectives, and drive cohesive progress toward shared goals , with minimal oversight.

As a PE, you balance individual risk and compliance contribution with team leadership.

You manage operations, professional development, resource allocation, and performance , while staying close enough to the work to be a credible, hands-on partner to your team and stakeholders.

You model responsible AI use, and act as a source of knowledge and mentorship , supporting your team's AI journey and helping others apply it responsibly and effectively.

AI-Enabled Risk Operations, Innovation & Transformation

This is how you and your team operate , not a side project.

• Champion the adoption of AI, machine learning, process automation, and advanced analytics to improve risk monitoring, control testing, and reporting across ERM, TPRM, and broader compliance functions

• Lead the integration of AI and automation into every phase of the risk lifecycle: vendor assessments, document ingestion and analysis, continuous monitoring and alerting, risk scoring, prioritization, and trend analysis

• Build intelligent risk monitoring and evaluation systems , including auto-tagging for risk issues, audit requests, and regulatory changes , that improve real-time visibility and eliminate manual effort across the enterprise risk portfolio

• Drive the digitalization of risk tools including RCSAs, KRIs, incident reporting, and audit tracking , transforming periodic, reactive processes into continuous intelligence systems with live leading and lagging indicators that enable real-time decision-making

• Partner with Product, Data Science, and Engineering to define requirements for AI-driven workflows, decisioning engines, and dashboards , ensuring explainability, auditability, and regulatory defensibility of all AI-enabled risk decisions

• Design and build intelligent dashboards and reporting tools that deliver real-time risk visibility and decision-quality insights to senior leadership and cross-functional stakeholders

• Design AI workflows with appropriate validation loops, human-in-the-loop checkpoints, and guardrails , ensuring outputs are reliable, governable, and meet regulatory standards before being used to frame risks, recommendations, or decisions

• Stay current on AI advancements and emerging technologies and proactively integrate new capabilities into team operations to increase velocity and scale

• Model responsible AI use , supporting ICs in their AI journeys and fostering a culture of intentional experimentation, accountability, and continuous improvement

Enterprise Risk Management

• Design, implement, and continuously improve Gusto's ERM framework, ensuring alignment with best practices and Gusto's stage of growth and strategic priorities across all entities

• Define and maintain Gusto's enterprise risk taxonomy, risk appetite statement, and key risk indicators spanning operational, regulatory, technology, financial, and reputational risk domains

• Lead Gusto's Enterprise Risk Management process , driving integration of risk practices across business functions, promoting a proactive risk culture, and ensuring incident management, root cause analysis, and lessons learned are systematically captured in an automated, AI forward way.

• Apply AI-assisted insights to enterprise risk datasets to surface systemic patterns, validate assumptions, prioritize risks, and deliver proactive, data-driven advisory to senior leadership

• Monitor the regulatory landscape (OCC, FDIC, CFPB, SEC, FINRA, GDPR, NIST, ISO, SOC) and leverage AI to proactively incorporate changes before they become compliance gaps

• Act as a key advisor to senior compliance leadership , translating complex risk findings into clear, actionable recommendations with minimal oversight

Third Party Risk Management (TPRM)

• Design, implement, and independently manage a high-impact, AI-first TPRM program with clear milestones, progress tracking, and measurable outcomes across all Gusto entities

• Manage the full third-party risk lifecycle , onboarding and risk profiling, periodic assessments, issue management, corrective action tracking, and offboarding , across suppliers, product partners, contractors, service providers, and cloud service providers , and do so in an AI and automated way.

• Maintain a centralized, authoritative vendor risk inventory and risk register, ensuring real-time visibility into Gusto's third-party risk posture

• Conduct periodic AI-driven audits and reviews of third-party compliance with contractual obligations and regulatory standards, identifying patterns that inform continuous program improvement

• Serve as the central orchestrator across Compliance, Security, Legal, Procurement, IT, and GRC for proactive and reactive third-party incident management

• Own Gusto's TPRM policy and maintain comprehensive documentation , risk assessments, audit findings, corrective actions , ensuring full accountability and traceability

People Leadership & Team Development

• Balance individual compliance contribution with team leadership , managing operations, professional development, resource allocation, and performance while staying close to the work

• Coach and develop ICs toward next

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A typical day for this role will involve envisioning, championing, and supporting the development of novel ML systems, product integrations, and performance optimizations to solve real-world problems. You will lead, mentor, challenge, and grow enthusiastic, collaborative software engineers and applied scientists across the organization. You will also raise the AI/ML skillset within the organization, which requires a passion for teaching and mentoring.

To be successful in this role, you will need 12+ years of software engineering experience, with 2+ years of experience in a Principal or Senior Staff Engineer role having ownership responsibility over large-scale software systems. You should have a background in the design and development of scalable AI and ML systems and services, and a deep passion for building ML-powered products.

As a Senior Staff Machine Learning Engineer, you will be an inspiring colleague, a coach, and mentor with experience owning and fostering engineering maturity in multiple organizations. You will be a builder, and implementer, who seeks out high-impact work, and who is proactive, curious, and an excellent communicator.

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To be successful in this role, you will need to have 3+ years of experience applying ML to real-world problems, preferably in a growth or user acquisition context. You will need to have excellent communication skills and the ability to work effectively in cross-functional teams. You will need to have strong problem-solving skills and the ability to translate business requirements into technical solutions. You will need to have strong programming skills in Python and experience with PyTorch. You will need to have proficiency in data processing and analysis using tools like SQL, Spark, or Hadoop. You will need to have experience with recommendation systems, user modeling, or personalization algorithms. You will need to have familiarity with statistical analysis. You will need to have experience using AI coding assistants and agentic tools as a force-multiplier, and equally comfortable solving problems from first principles when those tools aren’t available. You will need to have a Bachelor’s/Master’s degree in a relevant field or equivalent experience.

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Reporting to the Group Product Manager (Growth Acquisition), you'll lead high-impact initiatives from ideation through delivery. You'll partner closely with Engineering, Data Science, and Marketing to build and ship a roadmap of bold changes in service of creating a best-in-class user experience for current and future Pinners.

Key responsibilities include:

• Leading the product vision, strategy, and execution for performance marketing, owning outcomes for scalable, efficient growth across paid channels.
• Driving clarity, alignment, and prioritization across a broad cross-functional team in an ambiguous, complex product area with substantial impact on top-line growth.
• Influencing senior stakeholders and contributing to long-term strategy for acquisition.
• Partnering closely with Marketing, Engineering, and Data Science to build and evolve the core systems, experimentation, measurement infrastructure, and optimization tools that improve how we plan, execute, and scale paid marketing.

To succeed in this role, you'll need to demonstrate strong technical background, working knowledge of performance marketing mechanics, and strong analytical skills to define product strategy and drive decision making.

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Key Responsibilities: Drive the development and deployment of ML-based search and discovery relevance models and systems integrated with Databricks' products and services. Design and implement automated ML and NLP pipelines for data preprocessing, query understanding and rewrite, ranking and retrieval, and model evaluation, enabling rapid experimentation and iteration. Collaborate with product managers and cross-functional teams to drive technology-first initiatives that enable novel business strategies and product roadmaps for the search and discovery experience. Contribute to building a robust framework for evaluating search ranking improvements - both offline and online.

What We’re Looking For: BS+ (M.S. or PhD preferred) in Computer Science, or a related field. 10+ years experience developing search relevance systems at scale in production or in high-impact research environments. Experience applying LLM to search relevance. Experience in one or more of the following: query understanding, NLP, text mining, recommendations, personalization, discovery, conversational AI. Strong understanding of computer science fundamentals. Contributions to well-used open-source projects.

Why Join Us? At Databricks, we are building state-of-the-art AI solutions that redefine how users interact with data and our products. You’ll have the opportunity to shape the future of AI-driven products at Databricks, work with cutting-edge models, and collaborate with a world-class team of AI and ML experts. If you're excited about pushing the boundaries of AI in real-world applications, we’d love to hear from you!

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Key Responsibilities:

• Drive the vision for the team, ensuring the team's work directly contributes to the company's goals
• Manage and mentor a team of Machine Learning engineers (L13 - L16), providing technical guidance and support to help them grow their careers
• Collaborate closely with other engineering teams at Pinterest to enhance the experience for users
• Provide visibility to senior leadership regarding the team's global impact
• Partner with stakeholders across the company to shape the future of the content ecosystem and personalization at Pinterest

Requirements:

• MS/PhD in Computer Science, ML, NLP, Statistics, Information Sciences, or equivalent experience
• Experience leading and working on a large-scale production recommendation, e-commerce, search, or ads systems that are based on state-of-the-art machine learning and big data technology
• Strong experience in related fields such as recommendation systems and applied machine learning experience is required
• Demonstrated ability to define and drive the strategic roadmap for scalable, production-quality systems from concept to execution
• Strong focus on product impact and user experience within a consumer-focused environment
• Minimum of 1 year of experience managing a high-performing machine learning engineering team of 10+ members
• 8+ years of experience in software development, with a proven track record of delivering impactful solutions

Nice to Have:

• Experience with Cursor, Copilot, Codex, or similar AI coding assistants for development, debugging, testing, and refactoring
• Familiarity with LLM-powered productivity tools for documentation search, experiment analysis, SQL/data exploration, and engineering workflow acceleration

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This is a foundational and transformational role at a pivotal moment for CoreWeave, as we scale our revenue operations infrastructure to support our trajectory as a newly public AI hyperscaler. Following our 2025 IPO and accelerated growth trajectory, we are in search of a world-class RevOps leader who can build enterprise-grade operational rigor while maintaining the Startup mindset, agility, and innovation that defines CoreWeave.

The ideal candidate will transform revenue operations from a supporting function into a strategic growth driver, creating the data foundation, process excellence, and operational insights that enable our sales, marketing, customer success, support, field engineering, and partner teams to execute at peak performance. As an AI-native company, we expect you will lead us into an AI-first strategy to create a next-generation AI-driven RevOps function to harness and implement innovation throughout our global field organization.

The successful candidate will be a proven revenue operations executive with deep expertise in scaling high-growth technology companies, building world-class revenue operations platforms, and partnering with sales leadership to drive measurable business outcomes. You will have demonstrated success implementing sophisticated revenue operations frameworks, leading large global teams, and establishing data-driven cultures that turn insights into action. Your experience spans the full revenue operations stack,from CRM architecture and sales automation to forecasting methodologies, territory optimization, compensation design, and revenue analytics.

This role uniquely combines strategic leadership with hands-on operational excellence. You will define CoreWeave's revenue operations strategy, build and lead a global team of revenue operations professionals, establish our RevOps technology stack and data architecture, create scalable processes that drive efficiency while maintaining growth, and deliver the analytics and insights that inform executive decision-making. You will be the operational partner to our Chief Revenue Officer and go-to-market leadership, ensuring we have the infrastructure, insights, and execution to achieve our ambitious revenue targets while maintaining the flexibility to adapt as markets and opportunities evolve.

Strategy & Vision Define and execute CoreWeave's global revenue operations strategy, establishing world-class operational rigor, process excellence, and data infrastructure that enables predictable, scalable revenue growth. Build comprehensive revenue operations capabilities spanning sales operations, sales strategy, sales enablement, revenue analytics, sales compensation, territory management, and forecasting,creating an integrated operational framework that drives efficiency and effectiveness across the entire revenue organization. Design and implement CoreWeave's revenue technology stack, selecting, integrating, and optimizing CRM, sales engagement, revenue intelligence, forecasting, compensation, and analytics platforms that create a single source of truth for revenue data and enable seamless execution. Leverage AI to fundamentally build a next-gen RevOps center of excellence. Lead ongoing integrations of acquisitions made by the company. Establish data-driven forecasting methodologies and revenue analytics frameworks that provide executive leadership with accurate, real-time visibility into pipeline health, revenue performance, and growth trajectories across segments, products, and geographies. Partner with CRO and go-to-market leadership to develop strategic territory plans, quota allocation models, capacity planning frameworks, and resource deployment strategies that optimize coverage, maximize revenue potential, and drive efficient growth. Design and implement sales compensation programs that align with corporate objectives, drive desired behaviors, and attract and retain top sales talent, including variable compensation structures, accelerators, SPIFs, and performance-based incentives. Establish robust revenue governance frameworks, including deal desk operations, pricing and discount approval workflows, contract review processes, SOX compliance, and commercial risk management that balance growth velocity with operational discipline. Create sophisticated revenue analytics and business intelligence capabilities, delivering executive dashboards, pipeline analytics, win/loss analysis, sales productivity metrics, and strategic insights that inform decision-making and drive continuous improvement. Drive operational excellence through continuous process optimization, automation of manual workflows, elimination of friction in revenue processes, and implementation of best practices that enable the sales organization to focus on selling. Recruit, develop, and lead a world-class global revenue operations organization, including sales operations, sales strategy, enablement, compensation, and analytics teams, building a high-performance culture of operational excellence and strategic partnership with the go-to-market organization. Serve as the strategic thought partner to the CRO and executive leadership team, providing data-driven insights, scenario modeling, and operational recommendations that inform strategic decisions on market expansion, product prioritization, and go-to-market investments.

Who You Are: Minimum 15+ years of progressive experience in revenue operations, sales operations, or sales leadership roles, with at least 8 years in senior revenue operations leadership positions. Proven track record building and scaling revenue operations functions in high-growth B2B technology companies, ideally with experience supporting organizations generating $500M+ in annual revenue. Demonstrated success implementing and optimizing enterprise CRM platforms (Salesforce expertise required), revenue intelligence tools, sales engagement platforms, and revenue analytics solutions at scale. Deep expertise in sales forecasting methodologies, pipeline management frameworks, revenue recognition principles, and financial planning processes that drive accurate revenue predictability. Extensive experience designing sales compensation plans, quota methodologies, territory models, and capacity planning frameworks for complex sales organizations with multiple segments and product lines. Strong background in data analytics, business intelligence, and revenue reporting, with ability to translate complex data into actionable insights and executive-ready presentations. Track record of building and leading high-performing global revenue operations teams, including experience managing teams across multiple geographies and time zones. Experience supporting enterprise sales.

XML job scraping automation by YubHub

As an Engineering Manager, you will set technical vision, empower a talented group of engineers, and collaborate closely with Machine Learning, Product, and Data Science to unlock better user experiences.

Key responsibilities include:

• Leading and mentoring a team of experienced machine learning engineers in developing advanced user understanding models and systems
• Collaborating cross-functionally with partners in Product, Data Science, and Engineering to define strategy, set priorities, and effectively integrate user insights into core systems and product features
• Driving experimentation and adoption of new user understanding models with product teams across Pinterest, ensuring measurable end-to-end impact on key metrics
• Managing project execution and stakeholder communication, including roadmap planning, technical decision-making, risk mitigation, and progress updates to achieve business goals
• Providing thought leadership in user modeling and recommender systems by setting a long-term technical vision and advancing the state-of-the-art in the field
• Fostering a collaborative, inclusive, and high-performing team culture

Requirements include:

• 6+ years of industry experience in applied machine learning or closely related roles, with experience developing large-scale machine learning for recommendation or ads systems
• 2+ years of people management experience leading engineering teams
• Demonstrated ML expertise with a proven track record of impactful solutions and a deep understanding of large scale distributed systems
• Strong technical leadership, including a passion for driving technical direction, system architecture, and designing robust, scalable ML solutions

Nice to have:

• Experience using Cursor, Copilot, Codex, or similar AI coding assistants for development, debugging, testing, and refactoring
• Familiarity with LLM-powered productivity tools for documentation search, experiment analysis, SQL/data exploration, and engineering workflow acceleration

XML job scraping automation by YubHub

At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love. We're looking for a technical leader and engineering manager to help lead the search backend team.

The search backend team is responsible for major areas of the search engine, including indexing and document ranking, query and content understanding, personalization, ML based retrieval, shopping, videos, as well as infrastructure efficiency and scalability. The team also works on innovative applications of NLP and Vision Models, and other techniques to drive query recommendations, multimodal search, agentic search, multimodal query understanding, and query based module generation and ranking.

Responsibilities

• Lead the search backend team to develop and maintain a scalable and efficient search engine
• Collaborate with other engineering teams to bring superior search experience to users
• Drive the vision for the team and provide visibility for senior leadership into the team's global impact
• Partner with stakeholders to expand impact across the company
• Mentor and grow managers, leaders and engineers on the team

Requirements

• Experience leading and working on a large-scale production search, recommendation or ads systems
• Applied machine learning experience is strongly preferred
• Ability to drive the roadmap and directions of scalable production quality systems end-to-end
• A knack for product and impact on users of a consumer product
• 3+ years of experience in leading/managing a highly impactful ML-based engineering team of 5+ size; 7+ years of software development experience
• Bachelors degree in computer science or related technical field, or equivalent experience
• Experience using Cursor, Copilot, Codex, or similar AI coding assistants for development, debugging, testing, and refactoring
• Familiarity with LLM-powered productivity tools for documentation search, experiment analysis, SQL/data exploration, and engineering workflow acceleration

In-Office Requirement Statement

We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.

Relocation Statement

This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

#LI-REMOTE #LI-DM57

XML job scraping automation by YubHub

You will own the product roadmap for AI platform areas, defining what we build, why, and in what order, to accelerate customer adoption of AI and ML in production. You will drive strategy for key AI platform capabilities, shaping how enterprises operationalize AI at scale.

You will partner closely with engineering teams to make deeply technical decisions about ML infrastructure, from distributed training architectures to real-time serving systems. You will represent the voice of the customer by engaging directly with enterprise ML teams, translating their pain points and workflows into platform capabilities that simplify the path to production AI.

You will collaborate with GTM, Solutions Architecture, and Customer Success teams to drive enterprise adoption, shape field enablement, and inform competitive positioning. You will define pricing, packaging, and commercialization strategy for AI platform features, working with business teams to maximize value capture.

You will grow end-user engagement with Databricks AI tools by identifying adoption bottlenecks and partnering cross-functionally to remove them.

XML job scraping automation by YubHub

You will create and execute on account strategies tailored to each customer's business goals, delivering high-impact outcomes across their financial stack. You will own the full lifecycle of success, from onboarding to renewal by leveraging product usage insights, stakeholder engagement, and cross-functional collaboration to drive product adoption, minimize churn, and grow account value.

Responsibilities:

• Develop and own strategic account plans to drive retention, expansion, and adoption across your portfolio of enterprise customers.
• Act as a trusted advisor to finance stakeholders by providing guidance on best practices across spend management, credit policy, reconciliation workflows, and financial reporting automation.
• Build multi-threaded relationships across functional areas (Finance, Procurement, AP, IT, and Security) to increase platform stickiness and customer engagement.
• Lead business reviews and financial health checks that drive executive alignment and showcase ROI.
• Proactively identify and mitigate churn risks through data analysis, usage insights, and issue resolution.
• Partner cross-functionally with Sales, Product, Credit, Risk, and Operations teams to deliver a seamless customer experience and advocate for product improvements.

Requirements:

• 4+ years in a customer-facing role owning account health, executive relationships, or expansion strategy.
• Direct experience with core accounting workflows, such as invoice processing, T&E tracking, budgeting, accounts payable, ERP systems (e.g., NetSuite, QuickBooks), or spend management tools.
• Experience managing complex, global enterprise accounts (10,000+ employees), with the ability to navigate nuanced org structures and build durable partnerships.
• Strong business acumen with a finance-first mindset and comfortable speaking the language of CFOs, Controllers, and FP&A teams.
• Ability to synthesize product usage data into strategic recommendations that drive tangible customer outcomes.
• Demonstrated success in cross-functional collaboration and influencing internal roadmaps based on customer needs.

Bonus Points:

• You love solving complex business problems with innovative financial solutions.
• You think in systems, not silos and understand the bigger picture of customer value.
• You are energized by being proactive, not reactive, in helping customers succeed.
• You want to be a thought leader and internal resource for enterprise strategy across the CS org.

Compensation: The expected OTE range for this role is $117,600 - $147,00 CAD.

XML job scraping automation by YubHub

As a Staff Software Engineer for Search Quality, you will drive the technical direction of ranking, relevance, evaluation, and quality initiatives across Databricks' next-generation Search product. You'll design and build the systems, models, and evaluation frameworks that ensure our Search stack delivers accurate, high-quality results across diverse multimodal datasets and query patterns.

The impact you will have:

• Lead the technical vision for Search Quality, shaping the ranking architecture, relevance modeling stack, and evaluation systems that power Databricks' next-generation retrieval experiences.

• Identify and solve challenges in ranking, query understanding, and hybrid retrieval , advancing state-of-the-art techniques in vector, keyword, and multimodal search.

• Design and train production-ready ranking and reranking models with strong guarantees around quality, latency, and resource efficiency.

• Partner closely with research, product, and infra teams to define metrics, evaluation methodologies, and experimentation strategies for new retrieval features and model architectures.

• Drive end-to-end engineering efforts , from early prototyping to production rollout , ensuring correctness, reliability, and measurable improvements to relevance.

• Build and operate resilient, low-latency services for ranking, evaluation, and relevance signal processing.

• Champion excellence in ML and search engineering, mentoring teammates and elevating design, code quality, and scientific rigor across the team.

• Shape Databricks' long-term roadmap for retrieval quality, ranking infrastructure, and the foundations for retrieval-driven AI products.

What we look for:

• 10+ years of experience building large-scale search, ranking, recommendation, or ML-driven relevance systems.

• Deep expertise in Search Quality, including ranking models, signals, query understanding, and evaluation methodologies.

• Strong understanding of relevance metrics and evaluation frameworks.

• Familiarity with vector search, keyword search, hybrid retrieval, and embedding-based semantic retrieval.

• Solid foundation in algorithms, data structures, and system design for performance-critical ranking and retrieval systems.

• Proven ability to deliver high-impact technical initiatives with clear business or product outcomes.

• Strong communication skills and ability to collaborate across teams in fast-moving environments.

• Strategic and product-oriented mindset with the ability to align technical execution with long-term vision.

• Passion for mentoring, growing engineers, and fostering technical excellence.

XML job scraping automation by YubHub

You will join a team that ships products used by thousands of the world's most sophisticated data and AI organizations. You will drive the vision and roadmap for AI platform product areas and define how customers build, train, deploy, and monitor AI and ML systems on Databricks. You will collaborate across engineering teams to deliver an integrated and powerful path from experimentation to production.

The impact you will have:

• Own the product roadmap for AI platform areas , defining what we build, why, and in what order , to accelerate customer adoption of AI and ML in production.
• Drive strategy for key AI platform capabilities, shaping how enterprises operationalize AI at scale.
• Partner closely with engineering teams to make deeply technical decisions about ML infrastructure , from distributed training architectures to real-time serving systems.
• Represent the voice of the customer by engaging directly with enterprise ML teams, translating their pain points and workflows into platform capabilities that simplify the path to production AI.
• Collaborate with GTM, Solutions Architecture, and Customer Success teams to drive enterprise adoption, shape field enablement, and inform competitive positioning.
• Define pricing, packaging, and commercialization strategy for AI platform features, working with business teams to maximize value capture.
• Grow end-user engagement with Databricks AI tools by identifying adoption bottlenecks and partnering cross-functionally to remove them.

XML job scraping automation by YubHub

You'll create and execute on account strategies tailored to each customer's business goals, delivering high-impact outcomes across their financial stack. You will own the full lifecycle of success, from onboarding to renewal by leveraging product usage insights, stakeholder engagement, and cross-functional collaboration to drive product adoption, minimize churn, and grow account value.

Responsibilities:

• Develop and own strategic account plans to drive retention, expansion, and adoption across your portfolio of enterprise customers.
• Act as a trusted advisor to finance stakeholders by providing guidance on best practices across spend management, credit policy, reconciliation workflows, and financial reporting automation.
• Build multi-threaded relationships across functional areas (Finance, Procurement, AP, IT, and Security) to increase platform stickiness and customer engagement.
• Lead business reviews and financial health checks that drive executive alignment and showcase ROI.
• Proactively identify and mitigate churn risks through data analysis, usage insights, and issue resolution.
• Partner cross-functionally with Sales, Product, Credit, Risk, and Operations teams to deliver a seamless customer experience and advocate for product improvements.
• Own key metrics for your accounts: GMV growth, product adoption, credit utilization, and customer health scores.

Requirements:

• 4+ years in a customer-facing role owning account health, executive relationships, or expansion strategy.
• Direct experience with core accounting workflows, such as invoice processing, T&E tracking, budgeting, accounts payable, ERP systems (e.g., NetSuite, QuickBooks), or spend management tools.
• Experience managing complex, global enterprise accounts (10,000+ employees), with the ability to navigate nuanced org structures and build durable partnerships.
• Strong business acumen with a finance-first mindset and comfortable speaking the language of CFOs, Controllers, and FP&A teams.
• Ability to synthesize product usage data into strategic recommendations that drive tangible customer outcomes.
• Demonstrated success in cross-functional collaboration and influencing internal roadmaps based on customer needs.
• Bachelor's degree required; finance, business, or related fields preferred.

Bonus Points:

• You love solving complex business problems with innovative financial solutions.
• You think in systems, not silos and understand the bigger picture of customer value.
• You are energized by being proactive, not reactive, in helping customers succeed.
• You want to be a thought leader and internal resource for enterprise strategy across the CS org.

Compensation: The expected OTE range for this role is $132,888 - $166,110 USD. The starting wage will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity.

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Brex is the intelligent finance platform that enables companies to spend smarter and move faster in more than 200 markets. By combining global corporate cards and banking with intuitive spend management, bill pay, and travel software, Brex enables founders and finance teams to accelerate operations, gain real-time visibility, and control spend effortlessly.

Tens of thousands of the world's best companies run on Brex, including DoorDash, Coinbase, Robinhood, Zoom, Plaid, Reddit, and SeatGeek.

Working at Brex allows you to push your limits, challenge the status quo, and collaborate with some of the brightest minds in the industry. We’re committed to building a diverse team and inclusive culture and believe your potential should only be limited by how big you can dream.

We make this a reality by empowering you with the tools, resources, and support you need to grow your career.

Sales at Brex

Sales is the growth engine at Brex. We bring in new customers, expand existing relationships, and drive the company’s bottom line. With unlimited territories and uncapped opportunity, your ambition sets the ceiling. We win together, celebrate often, and reward performance.

If you want to sell a category-defining product with real ownership, this is your team.

What you’ll do

As an Enterprise Customer Success Manager, you will serve as a financial technology advisor to Brex’s largest customers by partnering with CFOs, Controllers, and finance ops teams to ensure they unlock the full value of Brex’s solutions.

You’ll create and execute on account strategies tailored to each customer’s business goals, delivering high-impact outcomes across their financial stack.

You will own the full lifecycle of success, from onboarding to renewal by leveraging product usage insights, stakeholder engagement, and cross-functional collaboration to drive product adoption, minimize churn, and grow account value.

Where you’ll work

This role will be based in our San Francisco office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of two coordinated days in the office per week, Wednesday and Thursday.

As a perk, we also have up to four weeks per year of fully remote work!

Responsibilities

• Develop and own strategic account plans to drive retention, expansion, and adoption across your portfolio of enterprise customers.

• Act as a trusted advisor to finance stakeholders by providing guidance on best practices across spend management, credit policy, reconciliation workflows, and financial reporting automation.

• Build multi-threaded relationships across functional areas (Finance, Procurement, AP, IT, and Security) to increase platform stickiness and customer engagement.

• Lead business reviews and financial health checks that drive executive alignment and showcase ROI.

• Proactively identify and mitigate churn risks through data analysis, usage insights, and issue resolution.

• Partner cross-functionally with Sales, Product, Credit, Risk, and Operations teams to deliver a seamless customer experience and advocate for product improvements.

• Own key metrics for your accounts: GMV growth, product adoption, credit utilization, and customer health scores.

Requirements

• 4+ years in a customer-facing role owning account health, executive relationships, or expansion strategy.

• Direct experience with core accounting workflows, such as invoice processing, T&E tracking, budgeting, accounts payable, ERP systems (e.g., NetSuite, QuickBooks), or spend management tools.

• Experience managing complex, global enterprise accounts (10,000+ employees), with the ability to navigate nuanced org structures and build durable partnerships.

• Strong business acumen with a finance-first mindset and comfortable speaking the language of CFOs, Controllers, and FP&A teams.

• Ability to synthesize product usage data into strategic recommendations that drive tangible customer outcomes.

• Demonstrated success in cross-functional collaboration and influencing internal roadmaps based on customer needs.

• Bachelor's degree required; finance, business, or related fields preferred.

Bonus Points

• You love solving complex business problems with innovative financial solutions.

• You think in systems, not silos and understand the bigger picture of customer value.

• You are energized by being proactive, not reactive, in helping customers succeed.

• You want to be a thought leader and internal resource for enterprise strategy across the CS org.

Compensation

The expected OTE range for this role is $132,888 - $166,110 USD.

The starting wage will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity.

The OTE figure listed here includes base salary and commissions, which may or may not be earned depending on performance.

Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.

Please be aware, job-seekers may be at risk of targeting by malicious actors looking for personal data.

Brex recruiters will only reach out via LinkedIn or email with a brex.com domain.

Any outreach claiming to be from Brex via other sources should be ignored.

XML job scraping automation by YubHub

You will create and execute on account strategies tailored to each customer's business goals, delivering high-impact outcomes across their financial stack. You will own the full lifecycle of success, from onboarding to renewal by leveraging product usage insights, stakeholder engagement, and cross-functional collaboration to drive product adoption, minimize churn, and grow account value.

Responsibilities:

• Develop and own strategic account plans to drive retention, expansion, and adoption across your portfolio of enterprise customers.
• Act as a trusted advisor to finance stakeholders by providing guidance on best practices across spend management, credit policy, reconciliation workflows, and financial reporting automation.
• Build multi-threaded relationships across functional areas (Finance, Procurement, AP, IT, and Security) to increase platform stickiness and customer engagement.
• Lead business reviews and financial health checks that drive executive alignment and showcase ROI.
• Proactively identify and mitigate churn risks through data analysis, usage insights, and issue resolution.
• Partner cross-functionally with Sales, Product, Credit, Risk, and Operations teams to deliver a seamless customer experience and advocate for product improvements.
• Own key metrics for your accounts: GMV growth, product adoption, credit utilization, and customer health scores.

Requirements:

• 4+ years in a customer-facing role owning account health, executive relationships, or expansion strategy.
• Direct experience with core accounting workflows, such as invoice processing, T&E tracking, budgeting, accounts payable, ERP systems (e.g., NetSuite, QuickBooks), or spend management tools.
• Experience managing complex, global enterprise accounts (10,000+ employees), with the ability to navigate nuanced org structures and build durable partnerships.
• Strong business acumen with a finance-first mindset and comfortable speaking the language of CFOs, Controllers, and FP&A teams.
• Ability to synthesize product usage data into strategic recommendations that drive tangible customer outcomes.
• Demonstrated success in cross-functional collaboration and influencing internal roadmaps based on customer needs.
• Bachelor's degree required; finance, business, or related fields preferred.

Bonus Points:

• You love solving complex business problems with innovative financial solutions.
• You think in systems, not silos and understand the bigger picture of customer value.
• You are energized by being proactive, not reactive, in helping customers succeed.
• You want to be a thought leader and internal resource for enterprise strategy across the CS org.

Compensation: The expected OTE range for this role is $117,600 - $147,00 USD.

XML job scraping automation by YubHub

You will track and interpret key economic indicators across regions, assess the implications of monetary and fiscal policy decisions, and evaluate how macro trends shape financial markets and risk conditions.

This role sits at the intersection of economics, markets, and strategic decision-making.

You will build forecasts and scenario analyses to understand how shifts in growth, inflation, interest rates, currencies, commodities, and geopolitics may affect asset prices and broader market regimes.

Your work will inform top-down investment views and risk assessments, supporting global macro strategies driven by economic fundamentals rather than individual company analysis.

The ideal candidate is intellectually curious, analytically rigorous, and comfortable working in a fast-moving, high-ownership environment.

Consistent with xAI's flat organisational structure, you are expected to be hands-on, proactive, and able to communicate ideas clearly and concisely to a highly technical and motivated team.

As a Macro Research Analyst, you will contribute directly to this mission by helping the organisation understand large-scale economic systems, feedback loops, and regime shifts that shape global outcomes.

You will structure, analyse, and interpret macroeconomic data across countries and regions, transforming noisy and often incomplete information into coherent economic narratives and testable hypotheses.

Your research will help identify causal relationships, constraints, and second-order effects within complex economic systems,insights that are essential for training, evaluating, and applying advanced AI models to real-world economic and financial questions.

By developing forecasts, scenarios, and risk assessments, you will support xAI's efforts to reason about uncertainty, stress-test assumptions, and evaluate how shocks propagate through global markets and institutions.

Clear communication of your findings will ensure that economic insights are effectively shared across teams, reinforcing xAI's emphasis on rigorous thinking, transparency, and collaborative problem-solving.

In this role, macroeconomic research is not an end in itself, but a tool for advancing deeper understanding.

Your work will help xAI build systems that reason more accurately about economic behaviour, policy trade-offs, and global dynamics,bringing us closer to AI that can meaningfully assist human decision-making at scale.

The Macro Research Analyst will have broad responsibility for analysing global macroeconomic conditions and their implications for financial markets and strategic decision-making.

The scope of the role spans data analysis, economic modelling, and synthesis of macroeconomic developments across multiple regions and asset classes.

The role includes management of ongoing monitoring frameworks for key economic indicators, policy developments, and geopolitical risks.

The analyst will be expected to independently identify emerging themes, develop forward-looking scenarios, and assess how macroeconomic shifts may alter market dynamics, risk exposures, and opportunity sets.

The position requires close collaboration with internal stakeholders, with an emphasis on clear, concise communication of complex economic concepts.

Given xAI's flat organisational structure, the analyst will operate with a high degree of autonomy and accountability, contributing directly to research outputs and strategic discussions rather than functioning in a narrow support capacity.

The scope of the role is intentionally flexible, allowing a high-performing analyst to expand their responsibilities over time by taking ownership of new research areas, developing novel analytical frameworks, and influencing how macroeconomic intelligence is integrated into xAI's broader mission.

Responsibilities:

Monitor and interpret data such as GDP growth, inflation, unemployment rates, interest rates, fiscal/monetary policy, currency movements, commodity prices, and geopolitical events across countries or regions.

Build economic forecasts, scenario analysis, and models to predict how macro forces will affect markets (e.g., how a central bank rate hike might impact equities, bonds, or currencies).

Provide research reports, trade ideas, and recommendations to portfolio managers, traders, or clients. This often informs 'global macro' investment strategies, where decisions are driven primarily by top-down economic views rather than individual company fundamentals.

Identify potential risks (e.g., recessions, currency crises, trade wars) and opportunities arising from economic shifts.

Basic Qualifications:

Strong academic background in economics, finance, mathematics, statistics, or a related quantitative field.

Demonstrated experience in macroeconomic research, global macro investing, economic policy analysis, or a closely related role.

Deep understanding of macroeconomic indicators and frameworks, including growth, inflation, labor markets, monetary and fiscal policy, exchange rates, commodities, and geopolitical dynamics.

Experience building and interpreting economic models, forecasts, and scenario analyses to assess market and policy outcomes.

Ability to synthesise large and complex data sets into clear, structured insights and actionable conclusions.

Strong written and verbal communication skills, with the ability to explain complex economic concepts concisely to both technical and non-technical audiences.

High level of intellectual curiosity and comfort working with uncertainty, incomplete information, and competing hypotheses.

Self-directed, detail-oriented, and capable of operating effectively in a flat organisational structure with minimal oversight.

Proven ability to prioritise effectively, manage multiple research streams, and deliver high-quality work under time constraints.

Preferred Skills and Experience:

3–7 years of experience post-doc.

At least three publications in reputable economics journals (AER, QRE, JPE, Econometrica, etc.) or outlets (The Economist, The Wall Street Journal, Financial Times, etc.).

Prior experience at a global macro hedge fund, asset manager, central bank, international financial institution, policy research organisation, or economic consulting firm.

Strong familiarity with financial markets across multiple asset classes, including rates, FX, equities, and commodities.

Experience producing investment-oriented research, including trade ideas, market commentary, or risk assessments tied to macroeconomic views.

Proficiency with data analysis and modelling tools such as Python, R, MATLAB, or similar quantitative environments.

Experience working with large economic and financial datasets and building repeatable research pipelines.

Ability to evaluate tail risks, regime shifts, and non-linear dynamics in macroeconomic systems.

Interest in applying macroeconomic reasoning to novel problems, including AI-driven applications.

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As a Business Operations Lead, you will play a crucial role in helping to streamline business processes, assist with key product launches, and manage internal and external business development (BD) initiatives.

Your primary responsibilities will include:

• Serving as a strategic right-hand to the Chief Business Officer, providing hands-on advisory across CRM strategy, internal process design, team organisational op model, data insights, and day-to-day operational decision-making.
• Delivering analysis that helps inform team performance in market, product utilisation, forecasting insights, and revenue trends for BD.
• Building and maintaining account/client tiering and prioritisation frameworks that help BD focus on the highest-value opportunities.
• Overseeing and tracking BD objectives and key results (OKRs), ensuring alignment with our long-term vision and strategy.
• Handling day-to-day business development operations, including pipeline management, deal flow, and forecasting, to ensure the team meets its objectives efficiently.
• Developing and running training sessions for the business development team, empowering them with the tools and processes needed to succeed.
• Helping orchestrate LayerZero's presence in both internal and external BD activities, coordinating participation in key meetings, events, and collaborations.
• Assisting with go-to-market (GTM) strategies and product launches, ensuring alignment with business development efforts and customer engagement.

To be successful in this role, you will need:

• 3–5+ years of experience in business operations, revenue operations, sales operations, or a similar function, ideally within a tech startup, high-growth, or Web3 environment.
• A deep understanding of BD/sales operations: pipeline management, deal tracking, CRM administration, and forecasting methodologies.
• Proven ability to build and improve operational processes from the ground up (SOPs, automation, cross-functional workflows).
• Strong analytical skills with experience building dashboards, performance reports, and data-driven recommendations.
• Excellent cross-functional communication. You thrive as the connective tissue between BD, Finance, Legal, Product, and Marketing.
• Highly organised, proactive, and comfortable operating with a high degree of ownership and ambiguity.
• Familiarity with CRM platforms (HubSpot, Salesforce, Linear, or similar) and modern GTM tooling.
• Experience supporting or partnering closely with executive leadership is a strong plus.

LayerZero Labs is committed to fostering a diverse and inclusive workplace. LayerZero Labs is an equal opportunity employer and does not discriminate on the basis of race, national origin, religion, gender, gender identity, sexual orientation, marital status, protected veteran status, disability, age, or any other legally protected status.

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You will own compensation analysis and benchmarking, lead key compensation cycles, and partner closely with HR, Finance, and senior leadership to build an equitable and forward-looking total rewards framework.

The ideal candidate will have progressive experience in Total Rewards, Compensation, or People Operations, with a strong focus on compensation design and program management. They will possess deep expertise in compensation analysis, benchmarking (e.g., Radford, Mercer, Carta), and market pricing within a talent-competitive industry, ideally financial services, crypto, or fintech.

We have created the Factors of Growth & Impact to help Villagers better measure impact and articulate coaching, feedback, and the rich and rewarding learning that happens while exploring, developing, and mastering the capabilities and contributions within and outside of the Member of Total Rewards role:

Technical Skills:

• Possesses deep expertise in compensation design, benchmarking methodologies (e.g., Radford, Mercer, Carta), and end-to-end management of complex rewards programs (merit, bonus, equity).
• Applies advanced analytical skills to independently diagnose and creatively solve intricate total rewards challenges, contributing to the strategic evolution of compensation frameworks and job architecture.
• Proactively identifies and implements process improvements and scalable solutions for total rewards administration, ensuring alignment with broader organisational priorities and industry best practices.

Complexity and Impact of Work:

• Independently owns and drives the planning and execution of complex, organisation-wide compensation cycles and initiatives, consistently delivering tactical business targets within Total Rewards.
• Navigates significant ambiguity to build, refine, and scale compensation structures and processes, acting as a critical partner to leadership in shaping Anchorage's long-term rewards strategy.
• Leads cross-functional projects with Finance, HR Business Partners, and senior leaders, ensuring robust compensation solutions are implemented with minimal oversight and proactively sharing knowledge to prevent single points of failure.

Organisational Knowledge:

• Monitors leading industry trends in total rewards, especially within financial services, crypto, or fintech, to inform the development of a competitive and equitable compensation strategy aligned with Anchorage's growth.
• Articulates the strategic impact of total rewards initiatives on attracting, retaining, and motivating top talent, demonstrating a clear understanding of how compensation drives broader firm objectives.
• Acts as a culture carrier within the People team and beyond, actively contributing to talent acquisition strategies by sharing insights on market competitiveness and total rewards value proposition.

Communication and Influence:

• Effectively mentors junior team members and leads collaborative efforts across HR Business Partners, Finance, and senior leadership to foster knowledge sharing and alignment on total rewards initiatives.
• Translates complex compensation data and strategic recommendations into clear, compelling communications, adapting messaging to influence and secure buy-in from diverse stakeholders, from individual Villagers to executive leadership.
• Proactively builds and leverages a network of internal and external contacts, including industry peers, to stay abreast of best practices and continuously refine Anchorage's total rewards approach.

You may be a fit for this role if you have:

• Progressive experience in Total Rewards, Compensation, or People Operations, with a strong focus on compensation design and program management.
• Demonstrated deep expertise in compensation analysis, benchmarking (e.g., Radford, Mercer, Carta), and market pricing within a talent-competitive industry, ideally financial services, crypto, or fintech.
• Proven track record of independently leading the end-to-end design, implementation, and administration of complex compensation programs, including merit, bonus, equity, and RSU plans.
• Ability to operate strategically and tactically, translating compensation philosophy into actionable frameworks and owning all stages of compensation cycles.
• Exceptional analytical skills with the ability to interpret complex data, identify trends, and develop data-driven recommendations for senior leadership.
• Experience collaborating effectively with HR Business Partners, Finance, and executive teams to ensure alignment of total rewards strategy with business objectives and budget constraints.
• Proficiency with HRIS platforms (e.g., workday) and compensation planning tools, with a strong understanding of how to leverage technology for efficient total rewards administration.
• Demonstrated ability to thrive in a fast-paced, high-growth environment, building structure and process where none previously existed, and comfortable with ambiguity.
• Excellent communication and presentation skills, with the ability to clearly articulate complex compensation concepts to diverse audiences, from individual contributors to executives.

Although not a requirement, bonus points if:

• Direct experience with Workday HRIS and advanced compensation planning modules.
• Exposure to international compensation practices and global equity program management.
• Experience transitioning a company from options to RSUs.
• Experience with trading or hedge fund compensation models.
• Experience presenting to and influencing compensation committees or boards.
• You were emotionally moved by the soundtrack to Hamilton, which chronicles the founding of a new financial system. :)

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You will analyze full-funnel customer journeys across web, marketing, and CRM touchpoints, leveraging modern analytics platforms, cloud data warehouses, and A/B testing. The ideal candidate thrives in close collaboration with marketing, webstore, product, and engineering teams.

Responsibilities:

• Leverage CDP and first-party data to build customer segments, cohorts, and lifecycle views, partnering with marketing and CRM teams to support audience activation, personalization, and campaign optimization.
• Conduct in-depth analysis of website traffic, user behavior, and eCommerce performance to identify trends, opportunities, and risks across the full customer funnel.
• Ideate, support, and analyze A/B and multivariate experiments, defining success metrics, interpreting results with statistical rigor, and recommending next steps based on business impact.
• Collaborate with cross-functional teams (marketing, webstore, product, and engineering) to develop and execute data-driven strategies for web and eCommerce initiatives.
• Define and document event tracking and measurement requirements aligned with business objectives, ensuring accurate and scalable data collection.
• Monitor and report on the effectiveness of promotional activities, marketing initiatives, and website performance, translating results into actionable insights.
• Build and maintain automated dashboards and self-service reporting, communicating insights through clear narratives, visualizations, and executive-ready summaries that proactively surface opportunities and risks.

Requirements:

• 3+ years of experience in Commerce, web, or digital analytics
• Bachelor’s degree in Data Science, Statistics, Economics, Business Information Systems, or a related field.
• Proven experience analyzing consumer-facing digital products or eCommerce platforms.
• Strong understanding of eCommerce KPIs, digital marketing metrics, and customer lifecycle measurement.
• Must have hands-on experience with SQL, cloud data warehouse (e.g Snowflake), GA4, CDP (such as mParticle).
• Experience working with large, complex, and multi-source datasets.
• Excellent data visualization skills (Looker Studio, PowerBi) and ability to communicate complex insights effectively.
• Strong attention to detail and ability to manage multiple projects simultaneously.

Nice to have:

• Experience with AI-assisted analytics, forecasting, or anomaly detection.
• Knowledge of product analytics, personalization, or recommendation systems.
• Exposure to server-side tracking, event schemas, and data contracts.
• Experience working in global or multi-region eCommerce environments.
• AI-ecommerce experience

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We are seeking a highly skilled and experienced Oracle Recruitment Cloud professional to join a team driving large-scale Human Capital Management (HCM) cloud transformation initiatives.

In this role, you will be part of a team focusing on HCM innovation and NextGen HR Hire to Retire in pursuit of enabling world-class workforce operations and experiences. You will guide our clients through HR Transformation, leveraging HR technology to create an impact on business outcomes.

More specifically, the responsibilities of this role include the following areas of expertise:

Deep understanding of Oracle Recruiting Cloud modules and workflows

Familiarity with Oracle Fusion Cloud Human Capital Management (HCM) and its integration points Understanding of Talent Management and Global HR modules

Experience with cloud-based HR systems and integration tools Knowledge of data migration and reporting tools like Oracle BI Publisher or OTBI

Strong grasp of end-to-end recruitment processes, compliance, and best practices Collaboration with stakeholders across the business functions to define requirements and ensure alignment with strategic goals Driving continuous improvement and innovation in recruitment processes through technology Contribute to practice development and pre-sales activities to further develop our service offerings, proposals and go-to-market initiatives. Lead teams, fostering an environment of continuous learning and growth.

About You

We are looking for a professional with robust consulting background or business and/or corporate experience in Oracle Recruitment Cloud implementations, HR Cloud Advisory and Hire-to-Retire HXM Technologies. The ideal candidate should be able to demonstrate experience and knowledge in at least one of the following areas:

Have a broad business skill set including stakeholder management, problem-solving, and resilience Have experience in gathering, validating, synthesizing, documenting, and communicating data and information for a range of audiences Have excellent interpersonal skills and strong written and verbal communication skills in country’s official language(s) (C2 proficiency) and English (C2 proficiency), project-related mobility/willingness to travel In-depth knowledge and ability to design and optimize HR Operating Models Ability for conducting HR & HR IT workshops and subsequently creating recommendation reports, thought leadership and transformation roadmaps. Strong facilitation, communication, and problem-solving abilities. Demonstrable experience in developing proposals and offerings, either for internal or external clients.

To qualify for the role, you must have:

Proven track record in delivering HCM cloud transformation programmes (minimum 5 years). Strong understanding of digital transformation principles and best practices. In-depth understanding of Oracle Recruitment Cloud UK Public Sector experience Excellent stakeholder management and communication skills. Experience in agile and waterfall delivery methodologies. Relevant certifications in HCM platforms (preferred)

Given that this is just a short snapshot of the role we encourage you to apply even if you don't meet all the requirements listed above. We are looking for team members who strive to make an impact and are eager to learn. If this sounds like you and you feel you have the skills and experience required, then please apply now.

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We have an exciting opportunity to join Go.Compare's Performance Marketing team as a PPC Executive, working within our dedicated PPC team. This role is ideal for someone looking to grow their PPC career, supporting the delivery of impactful campaigns in a fast-paced environment while making a tangible impact on business performance.

Key Responsibilities:

• Support the delivery of PPC Account strategies, assisting with execution and day-to-day performance management to help meet targets and business objectives.
• Contribute to bid strategy optimisation, ensuring campaigns are set up and adjusted to drive results.
• Assist with planning and running A/B tests, helping to optimise account performance and share learnings.
• Work closely with stakeholders across the business, providing updates on account performance, competitor activity, and upcoming tests.
• Keep up to date with Paid Search developments, including new tools, trends, and AI innovations, and share relevant findings with the team.
• Help create and optimise PPC audience segments to improve targeting and campaign effectiveness.
• Support reporting by turning performance data into clear, useful insights that can be shared with commercial teams to aid decision-making.

Experience that will put you ahead of the curve:

• Hands on experience in PPC, with experience managing and optimising multiple accounts.
• Proven ability to contribute to ROI targets while supporting revenue and profit growth.
• Experience working on PPC projects in fast-paced environments, collaborating with both internal and external stakeholders.
• Solid experience with Google Ads and Microsoft Ads, with strong platform knowledge.
• Familiarity with A/B testing and key PPC metrics such as auction insights, quality score, ROI, and optimisation score.
• Ability to analyse data, identify trends, and make recommendations to improve performance.
• Google Ads and Microsoft Ads accredited.
• Proficiency in Google Sheets or Excel; Looker Studio, GA4, and SA360 experience is a bonus.

What's in it for you

The expected salary range for this role is £24,000 - £31,000. This is a Hybrid role from our Cardiff Office, working three days from the office, two from home. You will also receive a range of great perks, including uncapped leave, a share of profits with a bonus, and wellbeing support with access to our Colleague Assistant Programmes.

Who are we

We're Go.Compare, part of Future PLC. We pride ourselves on being a fun but fair place to work, with flexible hours and plenty of perks, thanks to the Future community teams' hard work making sure each team member is treated equally. We only collaborate with organisations we can rely on, so we've built up a huge network of trusted partners. We're also authorised and regulated by the Financial Conduct Authority.

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At Valvoline Global Operations, we're proud to be The Original Motor Oil, but we've never rested on being first. Founded in 1866, we introduced the world's first branded motor oil, staking our claim as a pioneer in the automotive and industrial solutions industry.

Job Purpose

The Senior Technology Manager - Middle East & Africa leads all technical services and customer technical support activities across the Middle East & Africa region with a particular focus on KSA. Reporting directly to the Global Technical Services & Field-Testing Director, this role is a key member of the MEA Management Team and serves as point of contact between the MEA region and Global R&D.

How You Make an Impact (Job Accountabilities)

Technical Leadership & Coordination

• Lead and oversee all technical service and support activities across MEA.
• Build and coach the regional technical services team.
• Act as the primary interface with Global R&D. Provide leadership updates to Management Team.

Cross-Functional Collaboration

• Partner with Sales, Marketing, Product Strategy, and R&D to support product launches, business development, and go-to-market strategies.
• Deliver technical insights and ensure transparent reporting to regional and global leadership.

Key Customers & OEM Support

• Provide executive oversight on technical support to OEMs, distributors, fleets, and industrial clients.
• Personally manage strategic customers where required. Coach the team on technical proposals, oil analysis, training, and troubleshooting.

Field Testing & Product Validation

• Direct regional field trials, ensuring rigorous planning, monitoring, and execution.
• Oversee data acquisition and analysis with R&D to support approvals and product improvement.

Complaints Handling

• Lead resolution of high-impact customer complaints through structured root cause analysis.
• Collaborate with quality and supply chain to prevent recurrence.

Product recommendation / market insights

• Provide market intelligence to Global R&D and Marketing.
• Translate customer needs and competitor insights into product recommendations.

Manage technical CVPs / Services

• Oversee development of technical customer value propositions and service offerings.
• Manage oil analysis programs and condition monitoring systems.

HSSE Leadership & Coaching

• Ensure a strong safety culture by coaching the technical services team on health, safety, security, and environmental compliance. Actively monitor adherence to regulations and corporate HSSE standards.

Training & Knowledge Development

• Design and oversee regional training plans for internal staff and external stakeholders. Lead execution of technical seminars, customer events, product launches, and internal enablement sessions. Ensure training programs align with commercial growth objectives.

What You Bring to the Role (Job Qualifications / Education / Skills / Requirements / Capabilities)

• Bachelor’s degree in mechanical engineering or related field required, Master’s preferred.
• Proficiency in Arabic and English required.
• 10+ years in technical services, lubricants, or related industries, with at least 5 years in a leadership role.
• Proven track record in field testing, complaint handling, and customer technical engagement across multiple countries.
• CLS (Certified Lubrication Specialist) or equivalent desirable.

Competencies Desired

Candidates with the following will be given preferential consideration:

• Strong leadership and team-building skills.
• Technical depth in lubricants and mechanical systems.
• Skilled in managing field trials and analyzing performance data.
• Strategic mindset with commercial acumen.
• Strong stakeholder management and communication skills.
• Commitment to safety and compliance.

Working Conditions / Physical Requirements / Travel Requirements

• _Working Conditions / Physical Requirements_: Office setting
• _Travel Requirements_: up to 30% including international travel across MEA

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As we expand our personalization and messaging capabilities, we are looking for a foundational member of our growing team. The Offsite Recommendations Strategist owns the activation, performance, and revenue growth of our AI-powered email recommendations offering. This is a revenue-generating, client-facing role with incentive-based compensation.

You will serve as a strategic partner to retail and e-commerce clients, helping them design, launch, and scale high-performing recommendation-driven email programs across promotional, triggered, and lifecycle messaging. From first deployment through long-term expansion, you will guide customers in using intelligent recommendations to drive measurable gains in engagement, conversion, and lifetime value.

What You’ll Do

• Own onboarding and activation for offsite recommendations, partnering with Sales, Account Management, Customer Success, Solutions, and Marketing teams.
• Guide clients through ESP integrations, feed setup, and recommendation placement in email templates.
• Advise on high-impact email use cases including:
• Promotional campaigns
• Browse & cart abandonment
• Post-purchase and replenishment
• Lifecycle and retention programs
• Serve as the subject-matter expert on email personalization and recommendations.
• Analyze performance and provide data-driven recommendations to improve CTR, conversion, AOV, revenue per send, and LTV.
• Own revenue growth across a portfolio of customers through upsell, expansion, and new use cases.
• Act as the voice of the customer, influencing product roadmap and go-to-market strategy.

Requirements

• 1-3 years of hands-on email or lifecycle marketing experience, ideally in e-commerce or retail.
• 3-5+ years of client-facing experience in sales, account management, customer success, or account strategy
• Strong understanding of:
• ESPs and email ecosystems
• Segmentation, personalization, and lifecycle strategy
• Campaign vs. triggered messaging
• Testing and performance measurement
• Experience working with AI-driven personalization or recommendation systems.
• Proven ability to translate data into insights and business impact.
• Client-facing experience with a consultative, growth-oriented mindset.
• Track record of driving or influencing revenue growth from existing customers.
• Excellent communication skills and comfort working with both operators and executives.

Benefits

• Unlimited vacation time
• A competitive compensation package including stock options
• Fully remote team
• Work from home stipend
• Apple laptops provided for new employees
• Training and development budget for every employee, refreshed each year
• Parental leave for qualified employees
• Work with smart people who will help you grow and make a meaningful impact

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This is an excellent opportunity for a Support Bar Analyst (IT Help Desk) with excellent communication and leadership skills, looking to make an impact within a fast-paced and dynamic environment. The role reports to the Head of Local Support and involves working closely with colleagues in other offices to deliver a seamless service to our users.

Responsibilities:

• Act as front-line support for local and/or time zone-based employees
• Serve as the main point of contact for our customers via email, walk-ups, and chat support
• Respond promptly and professionally to customer inquiries and troubleshoot issues related to our products and services
• Utilize relevant software and databases to effectively diagnose, track, and resolve customer issues and address complaints
• Maintain accurate records, including call logs and ticketing systems, to track customer interactions and issue resolution
• Collaborate with other teams to identify and resolve technical issues
• Stay up-to-date with industry trends and provide input on continuous improvement to the Helpdesk and customer service workflows
• Identify and escalate issues requiring urgent attention to the appropriate parties
• Ensure SLAs are met and that our internal users are provided with an exceptional user experience
• Ensure that all IT assets in the local office are managed and maintained to a high standard
• Ensure compliance with all relevant regulations and legislation related to workplace services, health and safety, and environmental management

Requirements:

• Global experience within a business services environment and ideally video games development and/or working in a highly technical development environment
• Strong knowledge of first and second-line support operations
• Desirable knowledge of ServiceNow and industry trends
• Excellent relationship-building skills
• Ability to work in a matrix management environment
• Proven work experience in a customer service or Helpdesk role
• Excellent communication and active listening skills with a customer-first mindset
• Ability to operate effectively in a dynamic, fast-paced environment and multitask effectively
• Ability to learn quickly and adapt to new software applications and technologies
• Excellent problem-solving skills
• Strong customer service orientation, with a focus on delivering high-quality services to employees and stakeholders

Skills and experience desired:

• Manage the deployment, configuration, and maintenance of mobile devices, including tablets, smartphones, consoles, Meeting Room solutions (Intune, Autopilot, EMS, MDM, VDI)
• Manage the deployment, configuration, and maintenance of user peripherals
• Provide 3rd-line support for mobility applications to team members, customers
• Helping Keywords gain compliance in Local and global standards (ISO 27001, Cyber Essentials Plus)
• Collaborate with other stakeholders to ensure application security and data privacy are maintained
• Evaluate emerging technologies and provide recommendations for improving mobility services by closely working with OEMs and Vendors
• Develop and maintain technical documentation related to mobility solutions, providing training where needed to other departments on mobility solutions
• Basic knowledge of ITIL process

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About the Team

We build foundational AI infrastructure that enables large-scale training and inference across diverse workloads and rapidly evolving hardware generations. Our work directly shapes how AI systems are designed, deployed, and scaled today and into the future. Engineers on this team operate with end-to-end ownership, deep technical rigor, and a strong bias toward real-world impact.

Microsoft Superintelligence Team

Microsoft Superintelligence team’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

This role is part of Microsoft AI’s Superintelligence Team. The MAIST is a startup-like team inside Microsoft AI, created to push the boundaries of AI toward Humanist Superintelligence—ultra-capable systems that remain controllable, safety-aligned, and anchored to human values. Our mission is to create AI that amplifies human potential while ensuring humanity remains firmly in control. We aim to deliver breakthroughs that benefit society—advancing science, education, and global well-being. We’re also fortunate to partner with incredible product teams giving our models the chance to reach billions of users and create immense positive impact. If you’re a brilliant, highly-ambitious and low ego individual, you’ll fit right in—come and join us as we work on our next generation of models!

Responsibilities

Lead the co-design of AI systems across hardware and software boundaries, spanning accelerators, interconnects, memory systems, storage, runtimes, and distributed training/inference frameworks. Drive architectural decisions by analyzing real workloads, identifying bottlenecks across compute, communication, and data movement, and translating findings into actionable system and hardware requirements. Co-design and optimize parallelism strategies, execution models, and distributed algorithms to improve scalability, utilization, reliability, and cost efficiency of large-scale AI systems. Develop and evaluate what-if performance models to project system behavior under future workloads, model architectures, and hardware generations, providing early guidance to hardware and platform roadmaps. Partner with compiler, kernel, and runtime teams to unlock the full performance of current and next-generation accelerators, including custom kernels, scheduling strategies, and memory optimizations. Influence and guide AI hardware design at system and silicon levels, including accelerator microarchitecture, interconnect topology, memory hierarchy, and system integration trade-offs. Lead cross-functional efforts to prototype, validate, and productionize high-impact co-design ideas, working across infrastructure, hardware, and product teams. Mentor senior engineers and researchers, set technical direction, and raise the overall bar for systems rigor, performance engineering, and co-design thinking across the organization.

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We pursue this mission through deep hardware–software co-design, combining rigorous systems thinking with hands-on engineering. The team invests heavily in understanding real production workloads large-scale training, inference, and emerging multimodal models and translating those insights into concrete improvements across the stack: from kernels, runtimes, and distributed systems, all the way down to silicon-level trade-offs and datacenter-scale architectures.

This role sits at the boundary between exploration and production. You will work closely with internal infrastructure, hardware, compiler, and product teams, as well as external partners across the hardware and systems ecosystem. Our operating model emphasizes rapid ideation and prototyping, followed by disciplined execution to drive high-leverage ideas into production systems that operate at massive scale.

In addition to delivering real-world impact on large-scale AI platforms, the team actively contributes to the broader research and engineering community. Our work aligns closely with leading communities in ML systems, distributed systems, computer architecture, and high-performance computing, and we regularly publish, prototype, and open-source impactful technologies where appropriate.

Microsoft Superintelligence Team Microsoft Superintelligence team’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

This role is part of Microsoft AI’s Superintelligence Team. The MAIST is a startup-like team inside Microsoft AI, created to push the boundaries of AI toward Humanist Superintelligence—ultra-capable systems that remain controllable, safety-aligned, and anchored to human values. Our mission is to create AI that amplifies human potential while ensuring humanity remains firmly in control. We aim to deliver breakthroughs that benefit society—advancing science, education, and global well-being. We’re also fortunate to partner with incredible product teams giving our models the chance to reach billions of users and create immense positive impact.

Responsibilities Lead the co-design of AI systems across hardware and software boundaries, spanning accelerators, interconnects, memory systems, storage, runtimes, and distributed training/inference frameworks.

Drive architectural decisions by analyzing real workloads, identifying bottlenecks across compute, communication, and data movement, and translating findings into actionable system and hardware requirements.

Co-design and optimize parallelism strategies, execution models, and distributed algorithms to improve scalability, utilization, reliability, and cost efficiency of large-scale AI systems.

Develop and evaluate what-if performance models to project system behavior under future workloads, model architectures, and hardware generations, providing early guidance to hardware and platform roadmaps.

Partner with compiler, kernel, and runtime teams to unlock the full performance of current and next-generation accelerators, including custom kernels, scheduling strategies, and memory optimizations.

Influence and guide AI hardware design at system and silicon levels, including accelerator microarchitecture, interconnect topology, memory hierarchy, and system integration trade-offs.

Lead cross-functional efforts to prototype, validate, and productionize high-impact co-design ideas, working across infrastructure, hardware, and product teams.

Mentor senior engineers and researchers, set technical direction, and raise the overall bar for systems rigor, performance engineering, and co-design thinking across the organization.

Qualifications Bachelor’s Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.

Additional or Preferred Qualifications Master’s Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor’s Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.

Strong background in one or more of the following areas: AI accelerator or GPU architectures Distributed systems and large-scale AI training/inference High-performance computing (HPC) and collective communications ML systems, runtimes, or compilers Performance modeling, benchmarking, and systems analysis Hardware–software co-design for AI workloads Proficiency in systems-level programming (e.g., C/C++, CUDA, Python) and performance-critical software development.

Proven ability to work across organizational boundaries and influence technical decisions involving multiple stakeholders. Experience designing or operating large-scale AI clusters for training or inference. Deep familiarity with LLMs, multimodal models, or recommendation systems, and their systems-level implications. Experience with accelerator interconnects and communication stacks (e.g., NCCL, MPI, RDMA, high-speed Ethernet or InfiniBand). Background in performance modeling and capacity planning for future hardware generations. Prior experience contributing to or leading hardware roadmaps, silicon bring-up, or platform architecture reviews. Publications, patents, or open-source contributions in systems, architecture, or ML systems are a plus.

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R&D - Toronto, Ontario (Hybrid)

What we’re doing

We’re building the AI-powered coaching platform that transforms how gamers learn, compete, and win. Backed by a16z and $12M in funding, we’re live in 5 titles with 100K+ users, expanding rapidly into new games, hardware partnerships, and SDK integrations.

You’ll Thrive Here If…

• You’re energized by ambiguity and move fast to bring clarity where others stall.
• You get a rush from finding the simple, elegant solution to a messy, complex problem.
• You think like a GM//always asking how a product choice impacts revenue, growth, and user success.
• You’re creative at problem solving — able to structure messy problems, build frameworks, and beat ambiguity with clear, actionable paths forward.

Some things you’ll do

• User discovery & insights
• Embed yourself into gamer communities (Reddit, Discord, conferences) to surface real user needs and trends.
• Talk to users, run surveys, and synthesize feedback into actionable insights.
• Translate customer problems & business goals into clear, prioritized product requirements.
• Analyze product usage patterns (SQL, Mixpanel) and connect insights directly to business outcomes.

• Data-driven decision-making
• Define success metrics, own dashboards/funnels/experiment readouts, and deliver decision-ready insights.
• Size and scope opportunities using product data, market sizing, and an 80/20 lens to de-risk decisions quickly.
• Identify opportunities to double down, design/run experiments (A/B tests, pilots), and present clear recommendations.

• Product strategy & execution support
• Surface & scope opportunities — investigate market pain points, partner with leadership on shaping strategy, then translate direction into scopes, specs, and cross-team execution.
• Write scopes/specs, manage JIRA, and keep initiatives moving smoothly across Design/Eng/Marketing
• Support launch plans, onboarding flows, rollout processes, and usage monitoring.
• Connect product metrics to conversion, activation, retention, and revenue

Skills You’ll Bring

• Product & business foundation
• 2+ years of PM experience at a product-driven tech company, owning meaningful product surface area (B2C a plus)
• 1+ years experience in a fast-paced, analytical role (e.g., chief of staff, bizops, VC/PE, banking, consulting, or growth-focused roles at a high-growth tech company)

• Analytical & strategic
• Strong ability to structure ambiguous problems, form hypotheses, design/interpret experiments, and make data-driven decisions
• GM-like mindset with awareness of how product connects to revenue, growth models, pricing, and go-to-market

• Execution & product sense
• Nice to have - Shipped AI-powered products or features (LLMs, recommendation engines, intelligent automation)
• Ability to deconstruct visions into clear, actionable roadmaps that align with company objectives

• Mindset & communication
• Ownership-first, bias-to-action, thrives in early-stage/high-urgency environments
• Deep user empathy, first-principles thinker, obsessed with simple, elegant solutions
• Excellent communicator who can turn chaos into clarity and align stakeholders

You WILL NOT enjoy this role if

• You need a rigid playbook or lots of hand-holding — this is a fast-moving startup with shifting priorities.
• You avoid digging into data or SQL, being data informed is core to this role.
• You prefer long research cycles over shipping quickly and iterating.
• You’re uncomfortable making decisions with incomplete information.
• You aren’t naturally hyper-organized you’ll be expected to keep metrics, JIRA, specs, and experiments tidy and up-to-date so the team can move fast.
• You don’t play video games

Link to This Job

Location

Toronto, Ontario (Hybrid)

Department

R&D

Employment Type

Full-Time

Minimum Experience

Entry-level

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R&D - St. John's, Newfoundland and Labrador (Hybrid)

What we’re doing

We’re building the AI-powered coaching platform that transforms how gamers learn, compete, and win. Backed by a16z and $12M in funding, we’re live in 5 titles with 100K+ users, expanding rapidly into new games, hardware partnerships, and SDK integrations.

You’ll Thrive Here If…

• You’re energized by ambiguity and move fast to bring clarity where others stall.
• You get a rush from finding the simple, elegant solution to a messy, complex problem.
• You think like a GM//always asking how a product choice impacts revenue, growth, and user success.
• You’re creative at problem solving — able to structure messy problems, build frameworks, and beat ambiguity with clear, actionable paths forward.

Some things you’ll do

• User discovery & insights
• Embed yourself into gamer communities (Reddit, Discord, conferences) to surface real user needs and trends.
• Talk to users, run surveys, and synthesize feedback into actionable insights.
• Translate customer problems & business goals into clear, prioritized product requirements.
• Analyze product usage patterns (SQL, Mixpanel) and connect insights directly to business outcomes.

• Data-driven decision-making
• Define success metrics, own dashboards/funnels/experiment readouts, and deliver decision-ready insights.
• Size and scope opportunities using product data, market sizing, and an 80/20 lens to de-risk decisions quickly.
• Identify opportunities to double down, design/run experiments (A/B tests, pilots), and present clear recommendations.

• Product strategy & execution support
• Surface & scope opportunities — investigate market pain points, partner with leadership on shaping strategy, then translate direction into scopes, specs, and cross-team execution.
• Write scopes/specs, manage JIRA, and keep initiatives moving smoothly across Design/Eng/Marketing
• Support launch plans, onboarding flows, rollout processes, and usage monitoring.
• Connect product metrics to conversion, activation, retention, and revenue

Skills You’ll Bring

• Product & business foundation
• 2+ years of PM experience at a product-driven tech company, owning meaningful product surface area (B2C a plus)
• 2+ years in investment banking, strategy consulting, or a similar analytical/business role

• Analytical & strategic
• Strong ability to structure ambiguous problems, form hypotheses, design/interpret experiments, and make data-driven decisions
• GM-like mindset with awareness of how product connects to revenue, growth models, pricing, and go-to-market

• Execution & product sense
• Nice to have - Shipped AI-powered products or features (LLMs, recommendation engines, intelligent automation)
• Ability to deconstruct visions into clear, actionable roadmaps that align with company objectives

• Mindset & communication
• Ownership-first, bias-to-action, thrives in early-stage/high-urgency environments
• Deep user empathy, first-principles thinker, obsessed with simple, elegant solutions
• Excellent communicator who can turn chaos into clarity and align stakeholders

You WILL NOT enjoy this role if

• You need a rigid playbook or lots of hand-holding — this is a fast-moving startup with shifting priorities.
• You avoid digging into data or SQL, being data informed is core to this role.
• You prefer long research cycles over shipping quickly and iterating.
• You’re uncomfortable making decisions with incomplete information.
• You aren’t naturally hyper-organized you’ll be expected to keep metrics, JIRA, specs, and experiments tidy and up-to-date so the team can move fast.
• You don’t play video games

Link to This Job

Location

St. John’s, Newfoundland and Labrador (Hybrid)

Department

R&D

Employment Type

Full-Time

Minimum Experience

Entry-level

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Microsoft AI are looking for a talented and experienced Machine Learning Engineer to join our Growth team and help shape the next generation of AI systems, specifically for our personal AI assistant, Copilot.

About the Role

As a Machine Learning Engineer on our Growth team, you will design, develop, and implement machine learning models for high-performance recommendation systems and personalized feeds. You will leverage large language models (LLMs) to create scalable, intelligent solutions for content understanding, user engagement, and relevance ranking. You will drive data-driven experimentation using A/B testing, advanced analytics, and statistical techniques to identify growth opportunities and refine algorithms. You will develop and optimize pipelines, tools, and infrastructure to support real-time decision-making, personalization, and predictive analytics.

Accountabilities

• Develop and Deploy Models: Design, develop, and implement machine learning models for high-performance recommendation systems and personalized feeds.
• Large Language Model Expertise: Leverage large language models (LLMs) to create scalable, intelligent solutions for content understanding, user engagement, and relevance ranking.
• Experimentation and Analysis: Drive data-driven experimentation using A/B testing, advanced analytics, and statistical techniques to identify growth opportunities and refine algorithms.
• Infrastructure Optimization: Develop and optimize pipelines, tools, and infrastructure to support real-time decision-making, personalization, and predictive analytics.

The Candidate we're looking for

Experience:

• 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python.

Technical skills:

• Strong coding skills in Python and experience with ML frameworks (e.g., PyTorch, TensorFlow).
• Familiarity with data processing tools (e.g., Spark, Pandas) and cloud platforms (e.g., Azure, AWS).

Personal attributes:

• Strong problem-solving skills and the ability to independently design solutions to complex challenges.
• Excellent communication skills, with the ability to influence technical and non-technical audiences.

Benefits

• Competitive salary range: $119,800 - $234,700 per year.
• Comprehensive benefits package, including health insurance, retirement plan, and paid time off.
• Opportunities for professional growth and development.
• Collaborative and dynamic work environment.

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Microsoft AI are looking for a talented Senior Applied Scientist at their Vancouver office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising AI technology. You'll work directly with leadership to shape the company's direction in the AI market.

About the Role

As a Senior Applied Scientist, you'll lead the science behind Discover's ranking and content-quality stack, combining LLMs, multimodal models, and large-scale recommender systems to drive measurable gains in engagement, satisfaction, and trust. You will set technical direction, mentor a high-caliber science cohort, and partner closely with engineering, PM, UXR, and policy to ship end-to-end outcomes.

Accountabilities

• Lead content-quality understanding at scale.
• Advance the recommendation & ranking stack.
• Own evaluation and experimentation.
• Champion safety & trust.
• Scale E2E ML systems.
• Mentor & influence.
• Stay close to users.

The Candidate we're looking for

Experience:

• 4+ years related experience (e.g., statistics predictive analytics, research).

Technical skills:

• Expertise with LLMs (prompting, RAG, Parameter-Efficient Fine-Tuning), multimodal modeling, and retrieval-augmented recommendation.
• Familiarity with counterfactual learning and multi-objective optimization.

Personal attributes:

• Strong communication and collaboration skills.
• Ability to work in a fast-paced environment.

Benefits

• Competitive salary.
• Comprehensive benefits package.
• Opportunities for professional growth and development.

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What you'll do

• Apply state-of-the-art ML and LLM techniques to solve problems spanning:
• Personalization (LLM memory, context summarization, retrieval and ranking);
• Query Understanding (intent modeling, rewriting, agentic decomposition);
• Content Discovery (feed ranking and surfacing)
• Rigorously evaluate LLM/ML models with both offline and online techniques, designing experiments and metrics that provide deep insight into quality and impact.
• Own the entire model lifecycle from research to production: data analysis, modeling, evaluation, offline/online A/B testing, and iterative improvement.
• Collaborate cross-functionally with engineers, PMs, data scientists, and designers to ensure our AI drives meaningful product improvements.
• Stay at the forefront of ML/AI innovation by evaluating and incorporating emerging research and algorithms into the product lifecycle.

What you need

• 5+ years experience building and shipping robust ML/AI models for large-scale, user-facing or data-driven products.
• Deep expertise in deep learning (PyTorch, TensorFlow, JAX), LLMs, information retrieval, content summarization, recommendation systems, NLP, and/or ranking.
• Strong software engineering skills (Python, production-quality codebases, collaborative development).
• In-depth experience with the full ML lifecycle: data analysis, feature engineering, iterative model development, rigorous evaluation, and ongoing monitoring/improvement.
• Proven collaborator and communicator; excels in high-velocity, cross-functional teams.
• Curious, driven by end-user/product impact, and passionate about advancing the state of applied ML and AI.
• BS, MS, or PhD in Computer Science, Engineering, or related field (or equivalent experience).

Bonus Points For

• Experience with LLM prompt engineering, Retrieval-augmented generation (RAG) based systems.
• Experience in large scale user-centric and content-centric personalization challenges (user modeling, retrieval, content ranking, etc).
• Open-source or published contributions in ML, NLP, IR, or relevant research fields.

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What you'll do

• Work directly with the search team to understand their offerings/domain and create data science products and solutions to solve for their use cases.
• Partner with our team lead for Recommendations and Personalization to help surface uniquely personalized content to each player.
• Collaborate closely with Machine Learning Engineers and Machine Learning Operations to deploy and monitor models.
• Coach and mentor other Data Scientists and Senior Data Scientists on the team, ensuring technical best practices and guiding stakeholder communication.
• Ensure sound methodology and experimental design, and guide the direction of each project from start to finish.
• Effectively communicate data science projects and products to stakeholders, including those with non-data science backgrounds.

What you need

• 6+ years of professional experience manipulating data sets, building statistical models and productizing models along with experience applying Data Science methodologies to real-world problems.
• Strong expertise in building, deploying, and testing search algorithms.
• Experience with deep learning.
• Experienced in analyzing extremely complex, multi-dimensional data sets with a variety of tools.
• Superior verbal, visual, and written communication skills to educate and work with cross-functional teams.
• Experience using Python, SQL, Hive, PyTorch/TensorFlow, and AWS/GCP.
• Experience guiding and mentoring more junior Data Scientists.

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