As Senior Director of User Engagement, you own the entire user journey from first touch to loyal, monthly active user. You'll lead the teams responsible for activation, onboarding, retention, and CRM lifecycle management , turning awareness into long-term usage at scale.

This role is about ownership, impact, and execution. You'll translate bunq's mission into experiences that users feel from day one , and keep coming back for.

Take Ownership

You are accountable for turning interest into engagement and engagement into habit.

• Own the full lifecycle: from first interaction to monthly active user
• Lead and scale the Engagement function, including activation, onboarding, retention, and lifecycle initiatives
• Set the vision, strategy, and execution roadmap for how users experience bunq globally

Drive Onboarding & Activation

Getting started with bunq should feel effortless , and irresistible.

• Design and continuously optimize onboarding flows that convert new users into active users
• Identify friction points and remove them using data, experimentation, and product thinking
• Design flows to drive the first key activation milestone (e.g., first deposit, tap, goal setup) to foster early retention

Improve Retention Through Timely, Relevant Communications

The right message at the right time can turn a one-time user into a daily habit.

• Build and optimize multi-channel lifecycle communications across email, push, and in-app to drive engagement and retention
• Create triggered journeys for key moments (activation nudges, feature adoption, drop-off recovery, winback, plan upsell)
• Continuously test and iterate messaging, timing, and targeting using experimentation and data insights

Grow Monthly Active Users (MAU)

Keep users engaged with the product to drive long-term value and retention.

• Identify and implement strategies to increase product usage, frequency, and depth of engagement (e.g., using more features, higher transaction volume)
• Develop and execute upsell/cross-sell campaigns to move MAUs to higher-value plans, increasing LTV
• Leverage data and product insights to minimize churn and maximize customer retention

Requirements

• Proven experience owning user lifecycle, activation, retention, or growth at scale
• Strong product mindset with a data-driven approach to decision-making
• Expertise in cross-functional leadership, effectively partnering with Product, Marketing, Design, and Compliance teams to deliver results
• A track record of owning and exceeding major business metrics (e.g., DAU/MAU, LTV, Churn Rate) and being fully accountable for outcomes
• A commitment to continuously raising the bar for team performance, product quality, and overall user experience

Your Space to Perform

We give you the space and the tools you need to succeed

• Join forces with great colleagues across the globe to revolutionize banking
• Make lasting impact by working on complex & exciting challenges
• Profit sharing based on the impact you make and bunq's performance
• Great, international colleagues who share your mindset
• Hybrid setup: after 3 months in-office, work 2 days remote, 3 days in-office weekly
• Digital Nomad program: work remotely 1 week per quarter after 1 year and 3 weeks per quarter after 2 years
• We support growth with bunq Academy and €1,500 annual learning budget
• A massive discount with Urban Sports for your wellbeing
• Travel expenses are covered whether you come walking or by bike, bus or car (though we prefer green choices)
• A MacBook so you can Get Shit Done with us
• Delicious lunches from our fabulous in-house chefs with vegan and vegetarian options
• An optional pension plan with monthly contribution from bunq
• Monthly contribution to your phone and internet bills
• Friday drinks and other celebrations - bunq style

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The Director, US Forecasting & Analytics – Vaccines & Immune Therapies is a senior commercial insights leader responsible for US demand forecasting and analytics across the V&I portfolio. The role is predominantly forecast-focused, serving as the US forecasting lead and strategic thought partner to Marketing, Finance, Market Access, and US teams.

Responsibilities:

US Forecasting Leadership (Core Accountability)

• Lead US short-term and long-term demand forecasts (TRx, NBRx, volume, patients, revenue) for V&I assets using robust, patient-based and market-based models
• Own forecast methodology, assumptions, and governance, ensuring objectivity, transparency, and consistency with enterprise standards
• Integrate primary market research, epidemiology, competitive intelligence, access dynamics, and real-world data into forecast models
• Proactively identify and quantify key risks and opportunities through scenario and sensitivity analyses
• Partner closely with Finance, Market Access & Pricing, Marketing, Sales, Medical, and Global Forecasting to ensure alignment on assumptions and implications
• Support business planning, governance reviews, and opportunity assessments with clear, executive-ready narratives
• Serve as a trusted advisor to senior marketing and finance leadership, clearly articulating forecast drivers and changes

Analytics & Resource Leadership (Enablement)

• Provide leadership over forecasting-adjacent analytics, ensuring advanced analytics and insights are embedded into forecasting and business planning
• Manage and prioritize internal analysts, contractors, and external vendors supporting forecasting and analytics deliverables
• Partner with data analytics resources, Global IA&F, and GIBEX capability teams to deploy new tools, data sources, and modeling approaches
• Champion and identify new ways to embed AI and advanced automation into the practice of data analytics and forecasting to drive efficiency, scalability, and decision quality
• Champion continuous improvement in forecasting processes, AI-enabled modeling, and automation
• Contribute to the development and sharing of best practices across the V&I forecasting community

Essential for the role

• Bachelor’s degree in a quantitative, scientific, or business-related field required (e.g., Statistics, Economics, Mathematics, Engineering, Computer/Data Science).
• 8+ years’ experience in US pharmaceutical commercial forecasting, including in-market and late-stage pipeline assets
• Hands-on model ownership experience (build, refresh, and performance tracking) across short- and long-term horizons
• Expertise in scenario-based forecasting, sensitivity analysis, and driver-based narratives to support senior decision-making
• Strong capability integrating multiple data types (e.g., IQVIA, claims, epidemiology, RWD/RWE, primary research) into coherent, decision-grade forecasts
• Working knowledge of advanced analytics/ML approaches (e.g., time series, causal inference, ensembles) and where they add value vs. traditional methods
• Fluency in modern analytics tooling and automation (e.g., Python/R/SQL, BI/visualization), with ability to partner effectively with data engineering and analytics teams
• Demonstrated forecast governance and model risk discipline (traceable assumptions, documentation, and clear explanations)
• Strong understanding of US market access and payer dynamics and how they impact demand (coverage, contracting, channel, policy)
• Exceptional communication: translates complex analysis into clear, executive-ready insights, options, and recommendations
• Strong commercial competence across key demand levers (positioning, adoption, competitive dynamics, lifecycle events)

Desirable for the role

• Advanced degree preferred (e.g., MBA, MS, PhD in Statistics, Economics, Decision Sciences, Data Science, or related discipline).
• Vaccines and/or Rare Disease experience, including familiarity with immunization dynamics, patient-based forecasting, and lifecycle management in preventive or immune-mediated therapies
• Change leadership: builds adoption for new tools, processes, and ways of working across cross-functional stakeholders
• Product mindset for forecasting: defines user needs, success metrics, and a roadmap for portfolio forecasting capabilities
• Model lifecycle practices (e.g., reproducibility, versioning, monitoring/drift awareness); familiarity with MLOps concepts

Office Working Requirements

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.

#LI-Hybrid

Date Posted 10-Apr-2026 Closing Date 23-Apr-2026 Our mission is to build an inclusive environment where equal employment opportunities are available to all applicants and employees. In furtherance of that mission, we welcome and consider applications from all qualified candidates, regardless of their protected characteristics. If you have a disability or special need that requires accommodation, please complete the corresponding section in the application form.

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Intercom is the AI Customer Service company on a mission to help businesses provide incredible customer experiences.

Our AI agent Fin, the most advanced customer service AI agent on the market, lets businesses deliver always-on, impeccable customer service and ultimately transform their customer experiences for the better. Fin can also be combined with our Helpdesk to become a complete solution called the Intercom Customer Service Suite, which provides AI enhanced support for the more complex or high touch queries that require a human agent.

What's the Opportunity?

The Research, Analytics & Data Science (RAD) team turns insight into action. We uncover customer, product, and business insights and translate them into tools and decision systems embedded directly into GTM workflows.

AI has unlocked an entirely new generation of internal tools for our GTM teams. We’re evolving from static dashboards to LLM and agent-powered workflows that do the work: auto-researching accounts, summarizing prior interactions, drafting personalized outreach, flagging renewal risk, and assembling decks and docs - enabling Sales and Success to focus on high-value conversations.

What Will I Be Doing?

• Design, evaluate, and ship AI-powered internal tools for GTM use cases - including account research & summaries, next-best-action recommendations, renewal propensity, pipeline risk detection, QBR/autobrief generation, and post-call summarization & follow-ups.
• Work end-to-end: Own the full lifecycle, from problem definition and data modeling to building production-ready tools, including writing Python backends and React frontends.
• Prototype fast, ship to learn: Rapidly build with users, then productionize quickly to iterate and deliver impact.
• Instrument for adoption and outcomes: Define success through real usage and measurable business impact (e.g., improved win rate, conversion, expansion).
• Evangelize and enable: Document playbooks, run enablement sessions, and help leaders operationalize new tooling across teams.

What Skills Do I Need?

• Proven track record of applied data science with measurable GTM impact - you’ve shipped models or tools that moved metrics like conversion, cycle time, or retention.
• LLM/ML application experience - familiarity with RAG, prompt and tool design, vector search, evals and have leveraged AI for development.
• Excellent SQL skills and fluency in Python or R, with experience applying analytical and statistical methods to business problems.
• Experience with orchestration tools (e.g., DBT, Airflow) for deploying reliable data workflows.
• Strong communication and empathy - ability to translate complex data concepts for non-technical stakeholders.
• Collaborative product mindset - comfort working closely with Sales and Success teams to turn ambiguity into clear deliverables.

Benefits

We are a well-treated bunch, with awesome benefits! If there’s something important to you that’s not on this list, talk to us!

• Competitive salary and equity in a fast-growing start-up
• We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen
• Regular compensation reviews - we reward great work
• Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents
• Open vacation policy and flexible holidays so you can take time off when you need it
• Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones
• MacBooks are our standard, but we’re happy to get you whatever equipment helps you get your job done

Policies

Intercom has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week.

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Anthropic is looking for an Engineering Manager to lead the Agent Prompts & Evals team. This team owns the infrastructure that lets Anthropic ship model and prompt changes with confidence , the eval frameworks, system prompt pipelines, and regression-detection systems that every model launch depends on.

When a new Claude model is ready to ship, this team is the one answering “is it actually better in our products?” When a product team wants to change how Claude behaves, this team owns the tooling that tells them whether they broke something. It’s a platform team whose platform is model behavior itself.

The team sits deliberately at the seam between product engineering and research. You’ll partner closely with other evals groups across the company on shared infrastructure and methodology, with product teams who are shipping features on top of Claude, and with the TPMs and research PMs driving model launches. The pace is set by the model release cadence, and the team operates as both a platform owner and a hands-on partner during launch periods.

Responsibilities

• Lead and grow a team of prompt engineers and platform software engineers
• Own the product-side eval platform: the frameworks, dashboards, bulk runners, and CI integrations that product teams use to measure Claude’s behavior and catch regressions before they ship
• Own system prompt infrastructure: versioning, deployment, rollback, and review tooling for the prompts that run in production across claude.ai, the API, and agentic surfaces
• Be a steady hand through model launches , these are the team’s highest-stakes operational moments and the EM is the backstop when things get chaotic
• Build durable collaboration with other evals groups across the company; this means real work on ownership boundaries, shared roadmaps, and avoiding tragedy-of-the-commons on shared eval infrastructure
• Recruit, close, and retain engineers who want to work at the intersection of product engineering and model behavior
• Shape where the team invests next: there are credible paths into frontier eval development, model launch automation, and deeper prompt engineering support, and part of the job is sequencing them
• Push the team toward measuring things that are hard to measure , behavioral drift, prompt quality, harness parity , not just things that are easy

You May Be a Good Fit If You Have

• 8+ years in software engineering with 3+ years managing engineering teams, including experience leading a platform, infra, or developer-tooling team where your customers were other engineers
• A track record of building “pits of success” , tooling and process that made it easy for other teams to do the right thing without needing to understand all the details
• Comfort managing a team with a mixed charter: platform ownership, service-to-other-teams, and a launch-driven operational rhythm, all at once
• Enough technical depth to engage on system design, review pipeline architecture, and be credible in debates with strong ICs , you don’t need to be writing code by hand every day, but you should be able to read it, review it, and be comfortable leveraging Claude to understand, design, and occasionally build.
• A product mindset and willingness to wear multiple hats when the work calls for it
• Demonstrated ability to build and maintain peer relationships with partner orgs that have different cultures and incentives , negotiating ownership, aligning roadmaps, and holding ground when it matters without being territorial about it
• Experience recruiting and closing senior ICs in a competitive market

Strong Candidates May Also Have

• Prior exposure to LLM evals, ML experimentation platforms, or model quality work , even tangentially
• Experience with A/B testing infrastructure, feature flagging, or gradual rollout systems
• Background in devtools, CI/CD platforms, or testing infrastructure at scale
• A history of managing teams that sit between two larger orgs and making that position an asset rather than a liability
• Interest in AI safety and alignment , not required, but it makes the “why” of the work land harder

Logistics

• Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
• Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
• Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
• Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
• Visa sponsorship: We do sponsor visas! However, we aren’t able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

How we’re different

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact , advancing our long-term goals of steerable, trustworthy AI , rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We’re an extremely collaborative group, and we host frequent research discussions

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We're looking for a Senior Data Scientist to join our Research, Analytics & Data Science (RAD) team. The RAD team turns insight into action by uncovering customer, product, and business insights and translating them into tools and decision systems embedded directly into GTM workflows.

AI has unlocked an entirely new generation of internal tools for our GTM teams. We're evolving from static dashboards to LLM and agent-powered workflows that do the work: auto-researching accounts, summarizing prior interactions, drafting personalized outreach, flagging renewal risk, and assembling decks and docs - enabling Sales and Success to focus on high-value conversations.

Responsibilities:

• Design, evaluate, and ship AI-powered internal tools for GTM use cases - including account research & summaries, next-best-action recommendations, renewal propensity, pipeline risk detection, QBR/autobrief generation, and post-call summarization & follow-ups.

• Work end-to-end: Own the full lifecycle, from problem definition and data modeling to building production-ready tools, including writing Python backends and React frontends.

• Prototype fast, ship to learn: Rapidly build with users, then productionize quickly to iterate and deliver impact.

• Instrument for adoption and outcomes: Define success through real usage and measurable business impact (e.g., improved win rate, conversion, expansion).

• Evangelize and enable: Document playbooks, run enablement sessions, and help leaders operationalize new tooling across teams.

Requirements:

• Proven track record of applied data science with measurable GTM impact - you've shipped models or tools that moved metrics like conversion, cycle time, or retention.

• LLM/ML application experience - familiarity with RAG, prompt and tool design, vector search, evals and have leveraged AI for development.

• Excellent SQL skills and fluency in Python or R, with experience applying analytical and statistical methods to business problems.

• Experience with orchestration tools (e.g., DBT, Airflow) for deploying reliable data workflows.

• Strong communication and empathy - ability to translate complex data concepts for non-technical stakeholders.

• Collaborative product mindset - comfort working closely with Sales and Success teams to turn ambiguity into clear deliverables.

Benefits:

• Competitive salary and equity in a fast-growing start-up

• Unlimited access to Claude Code and best-in-class AI tools; experimentation & building is encouraged & celebrated.

• We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen

• Regular compensation reviews - we reward great work

• Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents

• Open vacation policy and flexible holidays so you can take time off when you need it

• Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones

• MacBooks are our standard, but we're happy to get you whatever equipment helps you get your job done

Policies:

• Intercom has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week.

• We have a radically open and accepting culture at Intercom. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values.

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At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies.

As a member of the Workers team, you will collaborate with Engineers, Designers, and Product Managers to design, build and support large scale, customer facing systems that push the boundaries of what is possible at Cloudflare's edge computing platform. You will drive projects from idea to release, delivering solutions at all layers of the software stack to empower the Cloudflare customers.

Requisite Skills

• 2-5 years professional software engineering experience
• Experience using Cloudflare Workers or Pages
• Must have strong experience with Javascript and Typescript
• Experience working in frontend frameworks such as React
• Experience with SQL and common relational database systems such as PostgreSQL
• Experience with Kubernetes or similar deployment tools
• Product mindset and comfortable talking to customers and partners
• Experience delivering projects end-to-end – gathering requirements, writing technical specifications, implementing, testing, and releasing
• Comfortable managing multiple projects simultaneously
• Able to participate in on an on-call shift

Bonus Points

• Experience with Go
• Experience with metrics and observability tools such as Prometheus, Grafana
• Experience scaling systems to meet increasing performance and usability demands
• Knowledge of OAuth and building integrations with third-parties

What Makes Cloudflare Special?

We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet.

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In fact, you'll be building the very foundation that the rest of our developer platform,from Pages to R2,is built upon. You will tackle the complex challenges of distributed systems and high-traffic APIs every single day. Your mission? To build and scale the platform that lets customers upload, configure, and manage their Workers, ensuring it's incredibly fast, extremely resilient, and scales effortlessly.

You’ll drive projects from the initial idea to global release, delivering solutions at every layer of the stack. You’ll get to master a diverse and modern tech stack, writing high-performance Go, architecting APIs, optimizing storage interactions, building Workers with JavaScript/TypeScript, and managing it all on Kubernetes.

We're looking for engineers who are obsessed with the developer experience and thrive on solving large-scale problems with a track record to prove it. If you care as much about the quality of the user's experience as you do about the quality of your code, and you want to join a high-impact, fast-growing team helping to build a better Internet, we want to talk to you.

This role is about solving some of the most challenging problems in large scale, distributed systems. You'll be making a massive, direct impact on the broader developer community. Build & Architect for Massive Scale - Own the core architecture of the Workers control plane, the system that deploys and configures millions of applications globally.

Proactively identify and eliminate performance bottlenecks, re-architecting critical services to handle exponential growth. Design and implement resilient database schemas and read/write patterns built to support exponential platform growth and long-term usage.

Evolve our services into a true developer platform, building the foundational capabilities that unlock future products.

Drive for Extreme Performance & Reliability - Obsess over the developer experience, with a relentless focus on reducing API latency and increasing API availability.

Own the reliability of one of Cloudflare’s most critical, customer-facing systems. Take pride in production ownership by participating in an on-call rotation to ensure our platform is always on.

Lead, Collaborate, & Innovate - Partner directly with Product Managers and customers to translate complex problems into simple, elegant, and scalable solutions.

Lead technical design from the ground up, collaborating with a brilliant, globally-distributed team of engineers.

Act as a mentor and knowledge-sharer, leveling up the entire team.

Constantly research, prototype, and introduce cutting-edge technologies to solve new classes of problems.

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Okta secures AI by building the trusted, neutral infrastructure that enables organisations to safely embrace this new era.

The Platform Network Engineering Team -----------------------------------

Auth0 by Okta is an easy-to-implement authentication and authorization platform designed by developers for developers. We make access to applications safe, secure, and seamless for over 100 million daily logins worldwide.

Our modern approach to identity enables this Tier 0 global service to deliver convenience, privacy, and security so customers can focus on innovation.

The Senior Software Engineer Opportunity ---------------------------------------

You will be part of the Platform Network engineering team responsible for all connectivity of Auth0. You will play a key engineering role as we evolve our network architecture to meet the demands of enormous growth and support the hundreds of millions of users who rely on us to provide uninterrupted access.

What you’ll be doing ------------------

Implement internal and edge networking infrastructure and design solutions that work at global scale and with multi-cloud and multi-region constraints.

Carry cross-team initiatives from end to end: code reviews, design reviews, operational robustness, security hygiene, etc.

Design and develop new services, tools, and automation to expose network functionality to other Okta engineering and operations teams.

Research and implement solutions addressing cross-cutting concerns such as routing, failover, and scaling.

Participate in the team’s on-call rotation.

What you’ll bring to the role ---------------------------

Have 3+ years of software development experience in cloud-native services like API.

Demonstrable knowledge of TCP/IP, DNS, HTTP, TLS.

Have DevOps experience using cloud-agnostic, cloud-native technologies.

Have experience managing infrastructure with Terraform.

Have experience contributing to Go-based services.

Have a passion for working on global distributed systems that are highly reliable, maintainable, scalable, and secure.

Tend to deliver work incrementally to get feedback and iterate over solutions.

Bring the right attitude to the team: ownership, accountability, and attention to detail.

And extra credit if you have experience in any of the following!

A 'Product Mindset' toward infrastructure,building internal networking tools that are self-service, well-documented, and easy for application teams to consume.

Experience with using cloud providers such as AWS or Azure and major content delivery networks.

Experience implementing and scaling Service Mesh architectures to manage service-to-service communication, observability, and security.

Knowledge of Istio/Envoy Proxy and the Kubernetes Gateway API to provide flexible, self-service ingress solutions for product teams.

Experience designing and maintaining multi-cloud networking topologies and hybrid connectivity (Direct Connect, Cloud Interconnect) at scale

Salary and Benefits -------------------

The annual base salary range for this position for candidates located in Canada is between $136,000-$187,000 CAD.

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 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.

Okta is an Equal Opportunity Employer.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran.

We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws.

If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation.

Notice for New York City Applicants & Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process.

In accordance with NYC Local Law 144, if you are an applicant or employee residing in New York City, please click here to view our full NYC AEDT Notice.

Okta is committed to complying with applicable data privacy and security laws and regulations.

For more information, please see our Personnel and Job Candidate Privacy Notice at https://www.okta.com/legal/personnel-policy/

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Your 下 responsibilities will include:

• Owning the agentic tools platform, including the registry of capabilities agents can invoke, the standards for how tools are built, and the governance for how they're deployed.
• Balancing the tension between enabling rapid tool development and maintaining the reliability that production agents demand.
• Architecting integration strategy, including determining which integrations unlock disproportionate value, negotiating technical partnerships, and defining the abstraction layers that make integrations composable rather than brittle.
• Driving agentic execution excellence, including partnering with ML engineers on tool selection optimization, prompt engineering for reliable tool invocation, and error handling patterns that make agents resilient.
• Enabling internal tool development, including building the developer experience,documentation, templates, testing frameworks, deployment pipelines,that lets teams ship new tools without deep platform expertise.

In this role, you will be working at the forefront of agentic technology, evaluating innovations and determining which advances warrant immediate adoption versus patient observation. You will also be responsible for navigating the agentic frontier, including bringing external best practices to ZoomInfo while contributing learnings back to the community.

To be successful in this role, you will need to have a strong background in product management, with 6-15 years of experience in AI/ML infrastructure, developer platforms, or integration products. You should also have direct experience with production agentic systems, hands-on familiarity with agentic frameworks, and a track record of building platform products where engineering teams are your customers.

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Anthropic is looking for an Engineering Manager to lead the Agent Prompts & Evals team. This team owns the infrastructure that lets Anthropic ship model and prompt changes with confidence , the eval frameworks, system prompt pipelines, and regression-detection systems that every model launch depends on.

When a new Claude model is ready to ship, this team is the one answering “is it actually better in our products?” When a product team wants to change how Claude behaves, this team owns the tooling that tells them whether they broke something. It’s a platform team whose platform is model behavior itself.

The team sits deliberately at the seam between product engineering and research. You’ll partner closely with other evals groups across the company on shared infrastructure and methodology, with product teams who are shipping features on top of Claude, and with the TPMs and research PMs driving model launches. The pace is set by the model release cadence, and the team operates as both a platform owner and a hands-on partner during launch periods.

Responsibilities

• Lead and grow a team of prompt engineers and platform software engineers
• Own the product-side eval platform: the frameworks, dashboards, bulk runners, and CI integrations that product teams use to measure Claude’s behavior and catch regressions before they ship
• Own system prompt infrastructure: versioning, deployment, rollback, and review tooling for the prompts that run in production across claude.ai, the API, and agentic surfaces
• Be a steady hand through model launches , these are the team’s highest-stakes operational moments and the EM is the backstop when things get chaotic
• Build durable collaboration with other evals groups across the company; this means real work on ownership boundaries, shared roadmaps, and avoiding tragedy-of-the-commons on shared eval infrastructure
• Recruit, close, and retain engineers who want to work at the intersection of product engineering and model behavior
• Shape where the team invests next: there are credible paths into frontier eval development, model launch automation, and deeper prompt engineering support, and part of the job is sequencing them
• Push the team toward measuring things that are hard to measure , behavioral drift, prompt quality, harness parity , not just things that are easy

Requirements

• 8+ years in software engineering with 3+ years managing engineering teams, including experience leading a platform, infra, or developer-tooling team where your customers were other engineers
• A track record of building “pits of success” , tooling and process that made it easy for other teams to do the right thing without needing to understand all the details
• Comfort managing a team with a mixed charter: platform ownership, service-to-other-teams, and a launch-driven operational rhythm, all at once
• Enough technical depth to engage on system design, review pipeline architecture, and be credible in debates with strong ICs , you don’t need to be writing code by hand every day, but you should be able to read it, review it, and be comfortable leveraging Claude to understand, design, and occasionally build.
• A product mindset and willingness to wear multiple hats when the work calls for it
• Demonstrated ability to build and maintain peer relationships with partner orgs that have different cultures and incentives , negotiating ownership, aligning roadmaps, and holding ground when it matters without being territorial about it
• Experience recruiting and closing senior ICs in a competitive market

Nice to Have

• Prior exposure to LLM evals, ML experimentation platforms, or model quality work , even tangentially
• Experience with A/B testing infrastructure, feature flagging, or gradual rollout systems
• Background in devtools, CI/CD platforms, or testing infrastructure at scale
• A history of managing teams that sit between two larger orgs and making that position an asset rather than a liability
• Interest in AI safety and alignment , not required, but it makes the “why” of the work land harder

Logistics

• Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
• Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
• Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
• Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
• Visa sponsorship: We do sponsor visas! However, we aren’t able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

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At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life.

We are a global company with a diverse workforceREADME

Embedded directly in a product team as search, chat, documents, or audio, you'll improve AI-powered features through rigorous evaluation, prompt and orchestration design, and rapid experimentation. You'll own your domain's AI quality end-to-end: define what "good" looks like, measure it, run experiments, and ship what works.

Responsibilities

• Design and run evaluations for your product area: reference tests, heuristics, model-graded checks tailored to search relevance, chat quality, document understanding, or audio performance.

• Define and track metrics that matter: task success, helpfulness, hallucination proxies, safety flags, latency, cost.

• Own prompt and orchestration design: write, test, and iterate on prompts and system prompts as a core part of your work.

• Run A/B tests on prompts, models, and configurations; analyze results; make rollout or rollback decisions from data.

• Set up observability for LLM calls: structured logging, tracing, dashboards, alerts.

• Operate model releases: canary and shadow traffic, sign-offs, SLO-based rollback criteria, regression detection.

• Improve core behaviors in your product area, whether that's memory policies, intent classification, routing, tool-call reliability, or retrieval quality.

• Create templates and documentation so other teams can author evals and ship safely.

• Partner with Science to diagnose regressions and lead post-mortems.

About you

• 3-4 years of experience; backgrounds that fit well include ML engineers moving closer to product, or software engineers with real AI/ML production experience.

• Strong TypeScript or Python skills - we have both tracks depending on team fit.

• Production LLM experience: prompts, tool/function calling, system prompts.

• Hands-on with evals and A/B testing; you can design metrics, not just run them.

• Comfortable implementing directly in product code, not only notebooks.

• Observability experience: logging, tracing, dashboards, alerting.

• Product mindset: form hypotheses, run experiments, interpret results, ship.

• Clear communication, autonomous, and oriented toward production impact over experimentation for its own sake.

It would be ideal if you also have:

• Safety systems experience: moderation, PII handling/redaction, guardrails.

• Release operations: canary/shadowing, automated rollbacks, experiment platforms.

• Prior work on search ranking, chat systems, document AI, or audio ML features.

Hiring Process

• Introduction call - 30 min

• Hiring Manager interview - 30 min

• Technical Rounds - Live-coding Interview - 45 min - AI Engineering Interview - 45 min

• Culture-fit discussion - 30 min

• References

By applying, you agree to our Applicant Privacy Policy.

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We are looking for future leaders to come and join our team, to build client relationships, and work with them to understand their needs and how we can solve them with Engine’s technology.

As a Client Solutions Technical Director, you will drive the localisation and implementation of Engine’s platform with North American clients, providing guidance and advice around Engine’s capabilities.

You will also help shape Engine’s product for entry to the U.S. market and play a vital role in supporting Engine’s North American growth, contributing to growing the list of potential clients in the region as well as working closely with Product Management and Engineering to help shape Engine’s product roadmap to support these clients.

The Client Solutions Director will operate as part of the NA leadership team, working closely with our President (North America), and Engine’s global Client Solutions leadership.

The individual will help tailor our solution for the U.S. (priority) and Canadian markets and lead the technical aspects of client programmes from discovery through to build and the launch of new banks, underpinned by Engine.

You will develop strong relationships with our clients and implementation partners in North America and beyond.

We’re looking for a versatile, adaptable individual, who enjoys the challenge of a varied and collaborative role, with a strong product mindset.

You’ll enjoy problem solving, getting to the detail, helping new clients launch successful new and modern propositions and businesses, and supporting our clients throughout their transformation journeys.

Key responsibilities include:

• Operating as a key part of the NA leadership team and contributing to the success of establishing Engine in the US and Canadian markets with a compelling product and platform.
• Maintaining a global mindset, both learning from the global product & technology team and contributing findings to the global product roadmap for the benefit of all regions.
• Building strong relationships both internally and within client and partner organisations, from establishing initial client relationships through to implementation.
• Staying abreast of current product developments and innovations globally and applying to the North American market.
• Helping to grow our North American Solutions Architecture team.
• Collaborating with our product and engineering teams through the Discovery and Implementation phases to agree on product and platform requirements.
• Providing technical leadership on implementation programmes, using your technical and product knowledge to ensure successful implementations of the Engine platform.
• Using your understanding of the Engine product and specific domain knowledge to present a clear and compelling solution to the client.
• Working with prospects and clients, and with the broader North American Client Solutions team to identify and shape technical solutions to deliver a compelling and compliant product for the NA market.
• Supporting early stage conversations, client workshops and demos, helping to identify and qualify genuine opportunities and contribute to marketing activities and conferences in NA.
• Driving strategic client opportunities including supporting commercial and contractual conversations, preparing for pitches, and other marketing activities like events and thought leadership.
• Fostering and maintaining strong relationships with our implementation partners, driving collaborative business development activities and go-to-market strategies.

Requirements include:

• A strong, client-centric product mindset and have worked in client-facing roles in banking, consulting, or at a technology company (5+ years experience).
• Experience in the U.S. banking sector and development of solutions for the market.
• Experience leading the technical delivery of large-scale, complex programmes in financial services.
• Rapidly understanding client problems and presenting solutions in a structured and informative manner.
• Excited by the potential for Engine’s technology to transform banking in the U.S. and Canada.

Your skills include:

• Being inquisitive, curious and able to understand client issues, needs and concerns while building trusted relationships.
• Applying a structured approach to complex or ambiguous problems.
• Having a technical aptitude and curiosity.
• Being self-motivated and able to work in a highly autonomous environment.
• Comfortable presenting to senior stakeholders, facilitating workshops and discovery sessions.
• Adapting your communication style to different stakeholders (senior clients, consulting organisations, engineering functions).
• Flexible in your approach to delivery.

Interview process includes conversational interviews, with the opportunity to ask questions and be curious.

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We are seeking an entrepreneurial and versatile leader who can help shape and drive Engine’s product plan for entry to the U.S. market. You will play a vital role in shaping Engine’s North American growth, contributing to growing the list of potential clients in the region as well as working closely with Product Management and Engineering to help shape Engine’s product roadmap to support these clients.

The Product Director will operate as part of the NA leadership team, working closely with our President (North America), and Engine’s global Client Solutions leadership. The individual will lead the effort to tailor our solution for the U.S. (priority) and Canadian markets and support client programmes from discovery through to build and the launch of new banks, underpinned by Engine.

You will develop strong relationships with our clients and implementation partners in North America and beyond. We’re looking for a versatile, adaptable individual, who enjoys the challenge of a varied and collaborative role, with a strong product mindset.

You’ll enjoy problem solving, getting to the detail, helping new clients launch successful new and modern propositions and businesses, and supporting our clients throughout their transformation journeys.

General Management and the day to day:

• Operate as a key part of the NA leadership team and contribute to the success of establishing Engine in the US and Canadian markets with a compelling product and platform.

• Maintain a global mindset, both learning from the global product team and contributing findings to the global product roadmap for the benefit of all regions.

• Build strong relationships both internally and within client and partner organisations, from establishing initial client relationships through to implementation

• Stay abreast of current product developments and innovations globally and apply to the North American market

• Help to grow our North American Client Solutions team

Client Discovery & Delivery:

• Engage prospects and clients for market feedback on product priorities and needs;

• Collaborate closely with our Compliance head to deliver a compelling and compliant product for the NA market

• Collaborate with our product and engineering teams through the Discovery and Implementation phases to agree on product and platform requirements

Business Development:

• Support early stage conversations, client workshops and demos, helping to identify and qualify genuine opportunities and contribute to marketing activities and conferences in NA

• Drive strategic client opportunities including supporting commercial and contractual conversations, preparing for pitches, and other marketing activities like events and thought leadership.

• Foster and maintain strong relationships with our implementation partners, driving collaborative business development activities and go-to-market strategies.

Requirements:

• You have a strong product mindset and have worked in client facing roles in banking, consulting, or at a technology company (5+ years experience)

• You have experience in the U.S. banking sector and development of solutions for the market

• You can rapidly understand client problems and present solutions in a structured and informative manner

• You are excited by the potential for Engine’s technology to transform banking in the U.S. and Canada

Your skills:

• You are inquisitive, curious and able to understand client issues, needs and concerns while building trusted relationships

• You can apply a structured approach to complex or ambiguous problems

• You have a technical aptitude and curiosity

• You are self-motivated and are able to work in a highly autonomous environment

• You are comfortable presenting to senior stakeholders, facilitating workshops and discovery sessions

• You can adapt your communication style to different stakeholders (senior clients, consulting organisations, engineering functions)

• You are flexible in your approach to delivery.

Interview process:

Interviewing is a two way process and we want you to have the time and opportunity to get to know us, as much as we are getting to know you!

Our interviews are conversational and we want to get the best from you, so come with questions and be curious.

In general you can expect the below, following a chat with one of our Talent Team:

• Interview with someone from the Client Services team

• Interview with further members of the Client Services team from NA and/or UK

• Final interview with Engine’s North American President and another VP

Benefits:

• Medical, Dental, and Vision insurance plan options

• 401(k) with company match of 100% of the first 4%

• Company-paid Long-Term Disability, and Life and AD&D insurance

• Optional ancillary benefits such as Short-term Disability, Accident Insurance, Legal & ID Protection, and more

• 20 days annual leave

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Key responsibilities include:

• Operating as a key part of the NA leadership team and contributing to the success of establishing Engine in the US and Canadian markets with a compelling product and platform.
• Building strong relationships both internally and within client and partner organisations, from establishing initial client relationships through to implementation.
• Staying abreast of current product developments and innovations globally and applying to the North American market.
• Helping to grow our North American Client Solutions team.

The ideal candidate will have a strong product mindset, experience in the U.S. banking sector, and experience leading the delivery of large-scale, complex programmes in financial services. They will be able to rapidly understand client problems and present solutions in a structured and informative manner.

We are an engineering-led company and we're looking for someone who will be excited by the potential for our technology to transform banking in different markets around the world.

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At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life.

We are a global company with teams distributed between France, USA, UK, Germany, and Singapore. Our diverse workforce thrives in competitive environments and is committed to driving innovation.

Role Summary

Embedded directly in a product team as search, chat, documents, or audio, you'll improve AI-powered features through rigorous evaluation, prompt and orchestration design, and rapid experimentation. You'll own your domain's AI quality end-to-end: define what 'good' looks like, measure it, run experiments, and ship what works.

Responsibilities

• Design and run evaluations for your product area: reference tests, heuristics, model-graded checks tailored to search relevance, chat quality, document understanding, or audio performance.
• Define and track metrics that matter: task success, helpfulness, hallucination proxies, safety flags, latency, cost.
• Own prompt and orchestration design: write, test, and iterate on prompts and system prompts as a core part of your work.
• Run A/B tests on prompts, models, and configurations; analyze results; make rollout or rollback decisions from data.
• Set up observability for LLM calls: structured logging, tracing, dashboards, alerts.
• Operate model releases: canary and shadow traffic, sign-offs, SLO-based rollback criteria, regression detection.
• Improve core behaviors in your product area, whether that's memory policies, intent classification, routing, tool-call reliability, or retrieval quality.
• Create templates and documentation so other teams can author evals and ship safely.
• Partner with Science to diagnose regressions and lead post-mortems.

About You

• 3-4 years of experience; backgrounds that fit well include ML engineers moving closer to product, or software engineers with real AI/ML production experience.
• Strong TypeScript or Python skills - we have both tracks depending on team fit.
• Production LLM experience: prompts, tool/function calling, system prompts.
• Hands-on with evals and A/B testing; you can design metrics, not just run them.
• Comfortable implementing directly in product code, not only notebooks.
• Observability experience: logging, tracing, dashboards, alerting.
• Product mindset: form hypotheses, run experiments, interpret results, ship.
• Clear communication, autonomous, and oriented toward production impact over experimentation for its own sake.

Benefits

• Competitive salary and equity package
• Health insurance
• Transportation allowance
• Sport allowance
• Meal vouchers
• Private pension plan
• Generous parental leave policy

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