You'll be part of our new Dynamic Pricing & Revenue Management team, working alongside a Data Scientist and a Data Analyst. Together, you will work towards one core goal: helping hosts improve occupancy and earnings through a smart, dynamic, and data-driven pricing strategy.

Our Tech Stack

• Data Storage & Querying: S3, Redshift (with decentralized data sharing), Athena, and DuckDB.
• ML & Model Serving: MLflow, SageMaker, and deployment APIs for model lifecycle management.
• Cloud & DevOps: Terraform, Docker, Jenkins, and AWS EKS (Kubernetes) for scalable, resilient systems.
• Monitoring: ELK, Grafana, Looker, OpsGenie, and in-house tools for full visibility.
• Ingestion: Kafka-based event systems and tools like Airbyte and Fivetran for smooth third-party integrations.
• Automation & AI: Extensive use of AI tools like Claude, Copilot, and Codex.

Your role in this journey

As a Data Ops Engineer – Revenue Management, you'll be the engineering backbone that enables our Data Scientists to move from experimentation to production. You bridge the gap between data science models and reliable, scalable production systems.

Responsibilities

• Support model deployment and serving: help deploy pricing and demand models into production, building and maintaining APIs and serving infrastructure.
• Build and operate production pipelines: ensure data flows reliably from source to model to output, with proper monitoring and alerting.
• Collaborate cross-functionally: work closely with Data Scientists, Analysts, and Engineering teams to turn prototypes into production-ready solutions.
• Own infrastructure and tooling: set up and maintain the environments, CI/CD pipelines, and infrastructure that the team depends on.
• Ensure operational excellence by implementing monitoring, automated testing, and observability across the team's production systems.
• Migrate and productionize POC: turn experimental code into robust, maintainable Python applications.
• Ensure data quality, consistency, and documentation across revenue management metrics and datasets.

Benefits

• Impact: Shape the future of travel with products used by millions of guests and thousands of hosts.
• Learning: Grow professionally in a culture that thrives on curiosity and feedback.
• Great People: Join a team of smart, motivated, and international colleagues who challenge and support each other.
• Technology: Work in a modern tech environment.
• Flexibility: Work a hybrid setup with 50% in-office time for collaboration, and spend up to 8 weeks a year from other inspiring locations.
• Perks on Top: Of course, we also offer travel benefits, gym discounts, and other perks to keep you energized.

Experience

• 4+ years of experience in Software Engineering, Data Engineering, DevOps, or MLOps.
• Strong hands-on skills in Python , you write clean, production-quality code.
• Experience with CI/CD, Docker, and infrastructure-as-code (e.g., Terraform).
• Familiarity with cloud platforms (AWS preferred) and deploying services in production.
• Exposure to or interest in ML model deployment (MLflow, SageMaker, or similar) is a strong plus.
• Desire to learn and use cutting-edge LLM tools and agents to improve your and the entire team's productivity.
• A proactive, hands-on mindset: you take ownership, spot problems, and drive solutions forward.

How to apply

If you're excited about this opportunity, please submit your application on our careers page!

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Mixpanel turns data clarity into innovation. Trusted by more than 29,000 companies, including Workday, Pinterest, LG, and Rakuten Viber, Mixpanel’s AI-first digital analytics help teams accelerate adoption, improve retention, and ship with confidence. Powering this is an industry-leading platform that combines product and web analytics, session replay, experimentation, feature flags, and metric trees.

About the Customer Success Team:

Mixpanel’s Customer Success & Solutions Engineering teams are analytics consultants who embed themselves within our enterprise customer teams to drive our customers’ business outcomes. We work with prospects and customers throughout the customer journey to understand what drives value and serve as the technical counterpart to our Sales organization to deliver on that value.

You will partner closely with Account Executives, Account Managers, Product, Engineering, and Support to successfully roll out self-serve analytics within our customers’ organizations, help the customer manage change, execute on technical projects and services that delight our customers, and ultimately drive ROI on the customer’s Mixpanel investment.

About the Role:

As a CSA, you will partner with customers throughout the customer journey to understand what drives value, beginning from the pre-sales running proof of concepts to demonstrate quick time to value, to post-sales onboarding and implementation, where you set customers up for long-term success with scalable implementation and data governance best practices. Throughout the entire customer lifecycle, you will work to understand how analytics can drive business value for your customers and will consult them on how to maximize the value of Mixpanel, including managing change during Mixpanel’s rollout, defining and achieving ROI, and identifying areas of improvement in their current usage of analytics.

For large enterprise customers, post onboarding, you will also continue alongside the Account Managers to drive data trust and product adoption for 100+ end user teams through a change management rollout approach.

Responsibilities:

Serve as a trusted technical advisor for prospects/customers to provide strategic consultation on data architecture, governance, instrumentation, and business outcomes

Effectively communicate at most levels of the customer’s organization to influence business outcomes via Mixpanel, design and execute a comprehensive analytics strategy, and unblock technical and organizational roadblocks

Own the customer’s success with Mixpanel , documenting and delivering ROI to the customer throughout their journey to transform their business with self-serve analytics

Own onboarding and data health for your assigned customers/projects, including ongoing enhancements to their data quality and overall tech stack integration

Engage with customers’ engineering, product management, and marketing teams to handle technical onboarding, optimize Mixpanel deployments, and improve data trust

Deliver a variety of technical services ranging from data architecture consultations to adoption and change management best practices

Leverage modern data architecture expertise to create scalable data governance practices and data trust for our customers, including data optimization and re-implementation projects

Successfully execute on success outcomes whilst balancing project timelines, scope creep, and unanticipated issues

Bridge the technical-business gap with your customers , working with business stakeholders to define a strategic vision for Mixpanel and then working with the right business and technical contacts to execute that vision

Collaborate with our technical and solutions partners as needed on data optimization and onboarding projects

Be a technical sponsor for internal engagements with Mixpanel product and engineering teams to prioritize product and systems tasks from clients

We're Looking For Someone Who Has

3 to 5 years of experience consulting on defining and delivering ROI through new tool implementations

Experience working with Director-level members of the customer organization to define a strategic vision and successfully leveraging those members to deliver on that vision

The ability to communicate with stakeholders at most levels of an organization , from talking with developers about the ins and outs of an API to talking to a Director of Data Science/Product Management about organizational efficiency

Can manage complex projects with assorted client stakeholders, working across teams and departments to execute real change

Has a demonstrated successful record of experience in customer success, client-facing professional services, consulting, or technical project management role

Excellent written, analytical, and communication skills

Strong process and/or project delivery discipline

Eager to learn new technologies and adapt to evolving customer needs

We'd Be Extra Excited For Someone Who Has

Experience in data querying, modeling, and transforming in at least one core tool, including SQL / dbt / Python / Business Intelligence tools / Product Analytics tools, etc.

Familiar with databases and cloud data warehouses like Google Cloud, Amazon Redshift, Microsoft Azure, Snowflake, Databricks, etc.

Familiar with product analytics implementation methods like SDKs, Customer Data Platforms (CDPs), Event Streaming, Reverse ETL, etc.

Familiar with analytics best practices across business segments and verticals

Benefits and Perks

Comprehensive Medical, Vision, and Dental Care

Mental Wellness Benefit

Generous Vacation Policy & Additional Company Holidays

Enhanced Parental Leave

Volunteer Time Off

Additional US Benefits: Pre-Tax Benefits including 401(K), Wellness Benefit, Holiday Break

Culture Values

Make Bold Bets: We choose courageous action over comfortable progress.

Innovate with Insight: We tackle decisions with rigor and judgment - combining data, experience and collective wisdom to drive powerful outcomes.

One Team: We collaborate across boundaries to achieve far greater impact than any of us could accomplish alone.

Candor with Connection: We build meaningful relationships that enable honest feedback and direct conversations.

Champion the Customer: We seek to deeply understand our customers’ needs, ensuring their success is our north star.

Powerful Simplicity: We find elegant solutions to complex problems, making sophisticated things accessible.

Why choose Mixpanel?

We’re a leader in analytics with over 9,000 customers and $277M raised from prominent investors: like Andreessen-Horowitz, Sequoia, YC, and, most recently, Bain Capital.

Mixpanel’s pioneering event-based data analytics platform offers a powerful yet simple solution for companies to understand user behaviors and easily track overarching company success metrics.

Our accomplished teams continuously facilitate our expansion by tackling the ever-evolving challenges tied to scaling, reliability, design, and service.

Choosing to work at Mixpanel means you’ll be helping the world’s most innovative companies learn from their data so they can make better decisions.

Mixpanel is an equal opportunity employer supporting workforce diversity.

At Mixpanel, we are focused on things that really matter,our people, our customers, our partners,out of a recognition that those relationships are the most valuable assets we have.

We actively encourage women, people with disabilities, veterans, underrepresented minorities, and LGBTQ+ people to apply.

We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity or expression, sexual orientation, age, marital status, or any other protected characteristic.

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The Manager, Solutions Consulting will be responsible for leading, hiring, and motivating a diverse team of Solutions Consultants across APAC. They will participate in customer and prospect meetings alongside their team, assist in continual training and development, including mentorship, hiring, and career growth. They will also work cross-functionally to help define and execute our technical pre- and post-sales strategy.

To be successful in this role, the candidate will need to have excellent verbal and written communication skills with practitioner and executive audiences, including the ability to present complex technical concepts clearly and concisely to both technical and non-technical audiences. They will also need to demonstrate success collaborating with cross-functional partners, including Sales, Product, Customer Success, Partners, and Support.

While not required, it's an added plus if the candidate has experience with developer personas and dev tools, with knowledge of light scripting, querying, or prototyping. Practical experience using or working with Figma is also a plus. Experience leading teams across multiple time zones is also desirable.

At Figma, we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product, and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status, or any other characteristic protected by law.

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As a cross-functional leader, you will collaborate closely with Sales, Product, Customer Experience, and Support teams to drive consultative strategies that unlock customer value and accelerate growth.

With Figma rapidly innovating, this position offers the exciting challenge of scaling the Solutions Consulting function and contributing to the evolution of our enterprise go-to-market motion.

Responsibilities:

• Lead and motivate a diverse team of Solutions Consultants across AMER
• Participate in customer and prospect meetings alongside your team
• Assist in continual training and development, including mentorship, hiring, and career growth
• Work cross-functionally to help define and execute our technical pre- and post-sales strategy
• Build and implement programs that help scale our Solutions Consultants and drive greater impact for our customers
• Monitor team performance and support them in exceeding their goals

Requirements:

• 3+ years of experience as a frontline manager leading Solutions Consultants or Sales Engineers, with direct accountability for team performance, coaching, and feedback
• 8+ years of relevant customer-facing technical experience in roles such as Sales Engineering, Solutions Consulting, Engineering, or Sales within a SaaS organization
• Proven ability to design and implement strategic programs that drive impact across teams, while also acting as a hands-on problem solver who coaches effectively but can also jump in as a player when needed
• Excellent verbal and written communication skills with practitioner and executive audiences, including the ability to present complex technical concepts clearly and concisely to both technical and non-technical audiences
• Demonstrated success collaborating with cross-functional partners, including Sales, Product, Customer Success, and Support

Preferred Qualifications:

• Practical experience using or working with Figma
• Experience working across multiple time zones
• Knowledge of light scripting, querying, or prototyping

Pay Transparency Disclosure:

If based in Figma's San Francisco or New York hub offices, this role has the annual base salary range stated below. Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location.

The listed range is a guideline, and the range for this role may be modified. For roles that are available to be filled remotely, the pay range is localized according to employee work location by a factor of between 80% and 100% of range. Please discuss your specific work location with your recruiter for more information.

Figma offers equity to employees, as well a competitive package of additional benefits, including health, dental & vision, retirement with company contribution, parental leave & reproductive or family planning support, mental health & wellness benefits, generous PTO, company recharge days, a learning & development stipend, a work from home stipend, and cell phone reimbursement.

Figma also offers sales incentive pay for most sales roles and an annual bonus plan for eligible non-sales roles. Figma's compensation and benefits are subject to change and may be modified in the future.

Annual Base Salary Range: $185,600-$316,800 USD

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In your first year, you'll focus on building AI-enabled workflows, integrating and implementing new systems, and creating better visibility into legal operations through data, reporting, and automation. You'll also help bring AI-powered capabilities into legal processes, including contract review and decision support within tools such as Ironclad CLM and related platforms.

Responsibilities:

• Design and build automated workflows for legal tasks such as contract review, non-disclosure agreement routing, intellectual property enforcement, compliance monitoring, data retention, inventorying, and data subject request processing.

• Develop custom AI prompts, decision trees, and logic layers that support a wide array of AI use-cases within our connected tools.

• Partner with internal AI and machine learning teams to embed legal logic into broader company automation and tooling.

• Build self-service resources, including intake forms, playbooks, and decision trees, that reduce ad hoc legal requests and improve team efficiency.

• Own technical administration for parts of the legal technology stack, including contract lifecycle management, e-billing, compliance platforms, and workflow automation tools.

• Evaluate new legal technology solutions, from prototyping and vendor assessment through integration and user adoption.

• Collaborate with Sales, Finance, Security, Trust & Safety, and People teams to streamline legal dependencies and implement scalable system integrations with platforms such as Salesforce and Zuora.

• Create dashboards, reporting infrastructure, and data models that support legal analytics, leadership visibility, compliance automation, and customer-facing guidance on product-specific metrics.

Requirements:

• Experience building, configuring, or significantly customising legal technology systems beyond basic administration.

• Knowledge of in-house legal workflows, including contracts, compliance, intake, and matter management.

• Ability to work with technical tools such as contract lifecycle management platforms, workflow automation tools, SQL or database querying, application programming interface integrations, or scripting languages such as Python or JavaScript.

• Comfort translating between legal, technical, and business stakeholders to turn requirements into clear technical solutions.

• Experience supporting cross-functional work with teams such as Sales, Finance, Security, Trust & Safety, or People.

• Ability to build structured reporting or data solutions that support operational decisions, compliance processes, or legal analytics.

• Strong written and verbal English communication skills for success in a remote, largely asynchronous environment.

• Openness to transferable experience from legal operations, legal technology, technical program work, or other roles that combine systems thinking with legal process improvement.

About the team: The Legal & Corporate Affairs team supports GitLab by helping the business move efficiently while managing legal and compliance risk. Within that function, this role focuses on the systems, workflows, and data infrastructure that power legal operations, from contract lifecycle management and e-billing to compliance automation and reporting.

You'll work with a distributed group of legal and cross-functional partners across regions, using asynchronous collaboration to design solutions that scale across the company. The team is focused on reducing manual work, improving self-service, and building dependable integrations between legal systems and GitLab's broader business tools so legal support is easier to access and easier to measure.

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Key responsibilities include leading and empowering a diverse team, participating in customer and prospect meetings, assisting in continual training and development, and working cross-functionally to help define and execute our technical pre-sales strategy.

The ideal candidate will have excellent verbal and written communication skills, proven success collaborating with cross-functional partners, and a hands-on problem-solving approach.

At Figma, we celebrate and support our differences and are committed to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status, or any other characteristic protected by law.

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Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organisations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence.

This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.

About the Role

As a Staff Detection & Response Engineer at Okta, you will occupy a high-impact leadership role within our Security Operations organisation. This is not just a technical role; it is a strategic one. You will influence security decisions across multiple teams, drive innovation in our defence-in-depth strategies, and act as a force multiplier for our global security posture.

You will be responsible for leading complex threat hunts, managing major security incidents, and architecting the detection frameworks that protect Okta’s infrastructure and customers. You will serve as a bridge between executive leadership and technical teams, ensuring our security objectives align with broader business trends and strategic goals.

What You’ll Do

Technical Leadership & Innovation

• Threat Hunting: Lead complex, hypothesis-driven threat hunts based on vague intelligence, and develop refined methodologies for the broader team to follow.

• Detection Engineering: Write novel detections and solve complex querying challenges. You will establish the frameworks and standards for detection engineering across the entire security organisation.

• Architectural Influence: Design and validate the effectiveness of preventative control chains and influence the selection and architecture of new security solutions.

• Incident Response: Serve as the technical lead for major incidents, including investigating threats in 'foreign' or uncommon environments by leveraging frameworks and your professional network.

Global Mindset

While Okta maintains a 24x7 posture, there is a requirement to be available in a crisis out of (your business) hours, and as a thought leader, to interface with colleagues globally.

Strategic Execution

• Project Ownership: Own multi-quarter objectives and drive them to success, developing project plans that align with Okta’s strategic VMTs (Vision, Metrics, and Targets) and budget.

• Problem Solving: Navigate issues of diverse scope, analysing data against current business trends to provide innovative solutions.

• Innovation: Secure resources for and drive innovation initiatives across multiple teams, facilitating cross-functional workshops to generate new security solutions.

Team Advocacy & Mentorship

• Culture Building: Foster an inclusive, collaborative environment by sharing wins, rewarding team efforts, and encouraging diverse perspectives.

• Mentorship: Act as an advisor to junior colleagues, providing actionable feedback and helping others align their career goals with organisational objectives.

• Consensus Driving: Drive consensus and resolve issues within cross-functional teams, ensuring all stakeholders are aligned on security priorities.

Who You Are

• Expert Investigator: You have a deep understanding of threat actor TTPs and can navigate complex systems even when documentation is sparse.

• Effective Communicator: You can translate complex technical problems for any audience, from executive leadership to junior analysts.

• Resilient Leader: You have a 'bottom-line' orientation, persisting through obstacles and setbacks to achieve results.

• Self-Aware & Empathetic: You proactively seek feedback, know your limits, and lead with empathy and compassion.

• Collaboratively Minded: You prioritise the development of others and establish internal and external networks of coaches and mentors.

Qualifications

• Proven experience in a high-growth SaaS or security-focused environment.

• Expertise in querying languages, detection frameworks (e.g., MITRE ATT&CK), and modern IR toolsets.

• Experience managing communications during crises or major security incidents.

• Demonstrated ability to lead project teams and manage budget/resource requirements.

• Strong background in automating response workflows and refining preventative controls.

Why Okta?

Okta is the World’s Identity Company. We are building a world where anyone can safely use any technology. As a Staff Engineer, you will play a pivotal role in ensuring that vision remains a reality.

#LI-HYBRID

P6513_3323862

Below is the annual salary range for candidates located in Canada. Your actual salary will depend on factors such as your skills, qualifications, and experience. In addition, Okta offers equity (where applicable), bonus, and benefits, including health, dental, and vision insurance, RRSP with a match, healthcare spending, telemedicine, and paid leave (including PTO and parental leave) in accordance with our applicable plans and policies. To learn more about our Total Rewards program, please visit: https://rewards.okta.com/can.

The annual base salary range for this position for candidates located in Canada is between: $141,000-$211,000 CAD

The Okta Experience

• Supporting Your Well-Being

• Driving Social Impact

• Developing Talent and Fostering Connection + Community

We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one.

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Responsibilities: Become an expert in all Anthropic products Respond to user support cases with a variety of complexity Clearly and empathetically communicate with a wide range of user personas Manage on-call tasks for high-urgency user issues Prioritize critically and comfortably adapt to an ever-evolving product landscape Operate in ambiguity, making informed decisions even in never-before-seen situations Partner with engineers, teammates, and other internal stakeholders to diagnose and resolve user issues Suggest and drive improvements to increase user satisfaction through support processes Uplevel our team's technical knowledge by scoping gaps, working with cross-functional partners, and building resources

You may be a good fit if you: Have experience in technical product support, including API debugging Are familiar with APIs and technical SaaS products Have demonstrated an ability to thrive in fast-paced, reactive situations Possess strong user empathy and are expert in the lifecycle of a support case Have crisp but kind written communication skills and a deep care for the details Enjoy helping others learn about new features and complex concepts Experience troubleshooting SSO, SAML, and OAuth authentication flows Are persistent and curious, and enjoy fixing bugs and issues Have experience contributing to the foundations of a support team Are proficient at working in a technical environment and are interested in Anthropic's products Possess a deep sense of ownership and are excited to help us build our team!

Strong candidates may also have: Comfort with command line interfaces and basic scripting Understanding of LLM capabilities, practical applications, and current limitations Familiarity with enterprise networking concepts and IT infrastructure Familiarity with Git workflows and version control concepts SQL proficiency for querying logs and investigating issues Experience supporting government or public sector customers, including familiarity with compliance requirements and security frameworks Background in team lead roles or managing contract/vendor support teams

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As a Senior Data Engineer, you'll lead the design, implementation, and testing of data systems, from architecture to production. You'll build batch and real-time data systems that support business needs and critical products, ensuring data systems' quality, performance, and stability through rigorous monitoring and quality assurance practices.

You'll collaborate with cross-functional teams, including product managers, data scientists, and engineers, to develop scalable systems and drive data-driven decisions. You'll maintain strong partnerships with backend, data science, and machine learning teams to ensure seamless integration of data systems.

Key responsibilities include:

• Leading the design, implementation, and testing of data systems, from architecture to production
• Building batch and real-time data systems that support business needs and critical products
• Ensuring data systems' quality, performance, and stability through rigorous monitoring and quality assurance practices
• Collaborating with cross-functional teams to develop scalable systems and drive data-driven decisions
• Maintaining strong partnerships with backend, data science, and machine learning teams to ensure seamless integration of data systems

We're looking for someone with 9+ years of relevant experience, a Bachelor's/Master's degree in CS/EE, and extensive experience in designing, building, and operating distributed data platforms. You should be proficient in Java, Scala, or Python, with strong skills in data processing and SQL querying. Proven track record of designing and optimizing batch and real-time data pipelines is a must.

In addition to technical expertise, we're looking for someone with excellent written and verbal communication skills, with the ability to influence stakeholders and convey complex technical concepts. You should be a strong leader and mentor, with experience guiding teams on best practices and technical strategies.

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As a Data Scientist lead on the GeminiApp team, you will be instrumental in building a uniquely proactive and powerful assistant by ensuring our strategic decisions are grounded in data.

Responsibilities

• Partner with PM, engineering, and UX leadership to develop data-driven product strategies across various areas of GeminiApp

• Translate ambiguous questions into well-defined problems, design experiments, and analyze large complex datasets for insights

• Develop and implement novel, goal-oriented metrics

• Build and deploy statistical/ML models to understand our users, enhance product capabilities and personalize user experience

• Communicate findings & recommendations to stakeholders, including executives

• Champion data-driven culture by feeding user engagement insights back into models

• Collaborate with the GenAI team on model quality and feature adoption

• Act as a technical leader for a global team, guiding junior members on complex analyses and upholding best practices to ensure high-quality, impactful work

What We're Looking For

• A bias for action and a relentless drive to build something great

• Strong business acumen and a strategic mindset

• Deep technical expertise

• Exceptional communication and presentation skills

• A collaborative and influential partner

• A commitment to user trust and privacy

Why You'll Love Working Here

• Impact: You'll have a direct and meaningful impact on a product designed to empower billions of people

• Growth: We're a fast-growing team within Google, and you'll have the opportunity to evolve quickly to meet changing user needs

• Team & Culture: You'll work with a talented and passionate team of people who are excited about what they do and have fun doing it

Minimum qualifications

• Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field

• 10 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 8 years of work experience with a PhD degree

Preferred qualifications

• Graduate degree in Statistics, Computer Science, Engineering or Mathematics

• Familiarity with modern Machine Learning and LLM techniques

• Strong organization and prioritization skills along with outstanding written and verbal communication skills

• Strong data science coding skills in Python, R, SQL or related languages

• Experience articulating business questions and using mathematical techniques to arrive at an answer using available data

• Experience translating analysis results into business recommendations

• Proven experience delivering bespoke analytics to senior stakeholders (problem scoping/definition, modeling, interpretation, presentation)

Salary

The US base salary range for this full-time position is between $248,000 USD - 349,000 USD + bonus + equity + benefits.

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The role reports to the Head of Marketing and is part of a global marketing team. It involves an 80% Global focus on strategic growth initiatives and a 20% Local focus on optimizing and executing tailored programs for the local market.

Responsibilities:

Global Responsibilities (80%):

• Analyze customer behaviour, industries, products, and regions to identify opportunities for growth.
• Design and execute activation, upsell, cross-sell, and re-engagement campaigns.
• Partner with product, customer success, and data teams to identify expansion opportunities.
• Build lifecycle marketing programs, usage nudges, and behavioural triggers.
• Drive increased usage of cards, stablecoin, and payment products.
• Optimize spend volume, ARPU, and product adoption by cohort.

Local Responsibilities (20%):

• Coordinate local customer activations, workshops, and events.
• Develop a deep understanding of local customer behaviour and opportunities.
• Support country-specific campaigns and materials.

Key Performance Indicators:

• Net Revenue Retention (NRR)
• ARPU
• Transaction volume
• Percentage of active customers
• Adoption of key products

Ideal Candidate:

• 2+ years of experience in FMCGs, marketing, product marketing, or customer success.
• Fluent in English.
• Strong mix of growth, data, and user mindset.
• Bachelor's degree in a quantitative or business field.
• Agile and able to pivot quickly with the changing environment.
• Collaborative and team-oriented.
• Previous experience in FinTech, B2B SaaS, or high-growth startup environments.

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Location

San Francisco

Employment Type

Full time

Department

Technical Program Management

Compensation

• $257K – $335K • Offers Equity

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

Benefits

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

About the Team

OpenAI's Human Data Team creates custom data solutions driving groundbreaking research. Our work enhances and evaluates our flagship models and products like ChatGPT, GPT-4, and Sora, and contributes to safety initiatives through collaboration with our Preparedness and Safety Systems teams.

About the Role

As a Technical Program Manager (TPM) in the Human Data team you will partner with research and engineering to design and implement pragmatic solutions for collecting high-quality data. You will be a key interface between our research roadmap, external vendors, AI trainers, and the Human Data engineering team.

This role is based in our San Francisco HQ and will report to the Head of Human Data Operations. We offer relocation support to new employees.

In this role, you will:

• Collaborate with Research: Partner with researchers to scope data collection needs, define success metrics, and establish quality measurement frameworks.

• Design & Execute Data Collection Campaigns: Translate research needs into actionable plans and accelerate execution by leveraging existing tooling and iterating to reach the desired outcome. In many cases, you will need to implement scrappy new solutions while partnering with engineering to design robust/scalable solutions.

• Unblock Yourself: You must be deeply uncomfortable with the idea of sitting around waiting for external dependencies, and have the technical acumen and drive to figure out how to achieve at least partial success in the interim

• Optimize Systems & Processes: Build and optimize dashboards to track campaign performance, leveraging SQL and Python for data analysis and actionable insights.

• Drive Technical Roadmaps: Collaborate with engineers to enhance data platforms, resolve blockers, and ensure security best practices such as access management

• Scale Your Impact: Advise and empower program managers and vendors to drive day-to-day execution so that you can focus on addressing high priority opportunities.

You’ll thrive in this role if you:

• Proficient in SQL and Python for data analysis, including querying databases, processing large datasets, and generating actionable insights

• Proficient in Python for interacting with various tools via APIs, including sending requests, processing responses, and integrating functionalities into workflows

• Proficient in SQL for creating analytics dashboards, including writing complex queries, optimizing data retrieval, and visualizing insights for decision-making

• A strong understanding of how LLMs work and of prompt engineering

• Are excited to understand the technicalities of cutting edge AI research and work alongside researchers from instantiation to launch

• Enjoy being part of an ambitious and technically-minded team

• Have experience working at large scale across a portfolio of projects

• Want to get your hands dirty; grit and creative problem solving will be required daily

• Have an action-oriented and deeply curious mind

• Learn technical concepts exceptionally quickly, seeking out knowledge to become proficient in areas that are new to you

• Operate with high horsepower, are adept at frequent context switching and working on multiple projects at once with expansive ownership, and ruthless prioritization

• Thrive in dynamic environments and can navigate ambiguity with ease

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and

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Microsoft AI are looking for a talented Senior Applied Scientist at their Redmond office. This role sits at the heart of strategic decision-making, transforming complex data into actionable insights for a company that's revolutionising the technology industry. You'll work directly with leadership to shape the company's direction in the development of large-scale, Azure-based intelligence platforms.

About the Role

As a Senior Applied Scientist, you will lead the development of machine learning solutions leveraging SOTA technologies in GenAI to build predictive models for generating recommendations, detecting anomalies, generating automated insights with reasoning, and ensuring the platform delivers accurate, actionable intelligence at scale. You will drive experimentation and validation of models, mentor junior scientists, and contribute to model governance and Responsible AI practices.

Accountabilities

• Lead the design and implementation of machine learning models for recommendations, anomaly detection, and actionable insights.
• Drive experimentation and validation of models.
• Mentor junior scientists and contribute to model governance and Responsible AI practices.
• Partner with engineering and BI teams to operationalize insights into dashboards and alerting systems.

The Candidate we're looking for

Experience:

• 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).

Technical skills:

• Proficiency in programming for data science (e.g. using Python or R for data analysis and modeling) and experience with data querying languages (e.g. SQL).
• Big Data & Distributed Computing: Hands-on experience with large-scale data processing using tools like Apache Spark or Azure Databricks for training and inference workflows.

Personal attributes:

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

Benefits

• Competitive salary.
• Comprehensive benefits package.
• Opportunities for professional growth and development.
• Collaborative and dynamic work environment.

XML job scraping automation by YubHub

Microsoft AI are looking for a talented Senior Applied Scientist at their Redmond office. This role sits at the heart of strategic decision-making, transforming complex data into high-quality and rich actionable insights for Microsoft Advertising stakeholders. You'll work directly with leadership to shape the company's direction in the AI and machine learning markets.

About the Role

As a Senior Applied Scientist, you will lead the development of machine learning solutions leveraging SOTA technologies in GenAI to build predictive models for generating recommendations, detecting anomalies, generating automated insights with reasoning, and ensuring the platform delivers accurate, actionable intelligence at scale. You will drive experimentation and validation of models, mentor junior scientists, and contribute to model governance and Responsible AI practices.

Accountabilities

• Lead the design and implementation of machine learning models for recommendations, anomaly detection, and actionable insights.
• Drive experimentation and validation of models.
• Mentor junior scientists and contribute to model governance and Responsible AI practices.
• Partner with engineering and BI teams to operationalize insights into dashboards and alerting systems.

The Candidate we're looking for

Experience:

• 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.

Technical skills:

• Proficiency in programming for data science (e.g. using Python or R for data analysis and modeling) and experience with data querying languages (e.g. SQL).
• Big Data & Distributed Computing: Hands-on experience with large-scale data processing using tools like Apache Spark or Azure Databricks for training and inference workflows.
• Advanced Analytics: Skilled in time-series analysis and anomaly detection techniques (e.g., ARIMA, isolation forests) applied to business contexts for actionable insights.

Personal attributes:

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

Benefits

• Competitive salary.
• Comprehensive benefits package.
• Opportunities for professional growth and development.
• Collaborative and dynamic work environment.

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