This is a high-impact, high-visibility role at the heart of Growth Engineering, partnering closely with Pricing & Packaging, Order, Self-Serve, Sales, Finance, Enterprise Systems, Analytics, and Billing Operations.

You'll drive clarity, focus, and execution across a mission-critical platform while fostering a culture of ownership, accountability, and incredibly high standards.

Key responsibilities include:

• Leading and scaling a team building and enhancing Intercom's billing, subscription, invoicing, and metering capabilities , the backbone of revenue and monetisation experiences.

• Owning and improving the reliability and operational excellence of Billing systems: on-call quality, incident response, observability, and product health standards.

• Partnering with Senior and Staff Engineers to shape and execute the technical strategy across subscription management, metering, invoicing, and integrations (e.g., Stripe Billing) , balancing near-term needs with long-term platform evolution.

• Collaborating deeply with Product, Design, Sales, Finance, Enterprise Systems, Analytics, and Billing Ops to prioritise the roadmap, close operational gaps, and deliver measurable business outcomes each quarter.

• Cultivating and managing trusted relationships with partner leaders in Finance, Enterprise Systems, and Analytics to ensure alignment on data flows, compliance, reconciliation, and business reporting needs.

• Driving migrations and modernisation work where needed (e.g., Stripe-first capabilities, systems parity and improvements), ensuring safe change management and robust downstream data flows.

• Bringing clarity and alignment to priorities, tradeoffs, and timelines; setting a high bar for planning, testing, and end-to-end quality, especially for revenue-impacting launches.

• Developing and retaining top talent through coaching, clear expectations, and effective delegation; scaling yourself via strong tech-lead partnerships and “coach-and-delegate” leadership.

• Promoting a culture of ownership, accountability, and incredibly high standards , moving quickly, communicating crisply, and celebrating wins.

Requirements include:

• 5+ years managing software engineering teams building and shipping customer-facing or revenue-impacting systems (e.g., billing, payments, pricing, subscriptions).

• Strong technical leadership: comfortable diving into architecture, debugging complex systems, reviewing designs, and making pragmatic tradeoffs to ship safely and fast.

• Proven ability to lead a cross-functional, full-stack team through planning and delivery with clear ownership of business outcomes and product health metrics.

• Excellent product sense and customer empathy , you translate ambiguous requirements into clear scopes, milestones, and measurable impact.

• Skilled communicator who drives alignment across partner teams (Sales, Finance, Enterprise Systems, Analytics, Product, Design) and keeps stakeholders informed and unblocked.

• Track record of cultivating and managing senior relationships across Finance, Enterprise Systems, and Analytics to land durable solutions and accurate downstream reporting.

• Relentless about outcomes , you identify the highest-leverage problems, remove roadblocks, and hold the bar on quality without slipping schedules.

• AI-first mindset with a high bar for excellence: fluent in using AI tools to accelerate planning, execution, quality, and communication , and to inspire adoption across the team.

Bonus skills and attributes include:

• Experience with Stripe Billing or similar billing/subscription platforms; familiarity with usage metering and invoicing pipelines.

• Background in customer-facing SaaS and/or scale-up environments operating at high velocity.

• Experience leading operational excellence initiatives (on-call, incidents, observability) for revenue-critical systems.

Success looks like:

• 30 days: You understand the domain, architecture, on-call posture, partner landscape, and active initiatives; you've built trust with engineers and partner leads and stabilised any urgent operational issues.

• 60 days: Clear, realistic roadmap and execution plan across platform, product health, and partner asks; visible improvements in on-call rigor and update cadence; risks surfaced with mitigation plans co-owned with Finance, Enterprise Systems, and Analytics.

• 90 days: Shipped at least one meaningful capability or reliability improvement; measurable progress on top business outcomes; staffing/skills gaps identified with a concrete plan to address them.

Team and domain:

Mission: Bill customers reliably and accurately, and provide core monetisation and operational capabilities for Intercom.

Partners: Pricing & Packaging, Order, Self-Serve, Sales, Finance, Enterprise Systems, Analytics, Billing Ops, Data/Analytics.

Key areas: Subscription management, usage metering (e.g., Fin features), invoicing, revenue recognition data flows, admin tools, and ops workflows.

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As a Technical Program Manager, you will own one of the most strategically consequential programs in DEeP , driving the direction, health, and outcomes of Stripe's Extensibility platform across Scripts, Custom Objects, and Workflows.

Responsibilities:

• Drive cross-org decisions across DRIs in Script Platform, Custom Objects, Apps, SDK, Observability, DevEx, and Versioning , actively resolving the hard, ambiguous integration and ownership questions that fall between team boundaries.
• Own the critical path to major launches , proactively shaping scope, driving descope decisions, and negotiating trade-offs across teams so that launches reflect deliberate strategic choices.
• Influence and shape product and engineering roadmaps , bringing a program-level perspective to team planning cycles, pushing back where individual team roadmaps are misaligned with broader extensibility strategy, and advocating for cross-cutting investments that no single team will prioritize on their own.

Requirements:

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

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Descript is revolutionizing how traditional editing methodologies and AI technologies come together in every part of the creation process (recording, transcribing, editing, and sharing) to make it faster and easier than ever to create high quality content.

We are hiring an Engineering Manager to lead our Narrative Editing team, focused on the product experiences that enable creators to tell their story through both live and generative AI content creation and Descript’s flagship script-based editing experience.

Your primary focus in 2026 will be driving quality, by both improving quality and reliability on existing product surfaces, and producing the next iterations of those product experiences.

In this role, you will:

• Own execution: Manage team prioritizes, drive alignment across stakeholders, adapt plans to maximize outcomes, and hold a high bar for delivery through active planning, prioritization, and follow-through

• Define team direction: Connect customer needs, product vision, and technical realities in close collaboration with Product, Design, and AI engineering by setting clear priorities and making tradeoffs to deliver results

• Develop your team: Recruit, mentor, and grow engineers, fostering a culture of continuous learning and high performance. Create stretch opportunities for ICs, deliver clear and direct feedback, and manage underperformance early

• Drive operational excellence: Ensure execution is predictable, reliable, and sustainable, implementing best practices in project management and engineering processes

• Maintain the technical bar: Guide architectural decisions, ensure sound design tradeoffs, address tech debt that slows execution, and drive delivery of high-quality, reliable systems

What You Bring

Minimum Qualifications

• Engineering Leadership Experience: 5+ years of software engineering experience, including 2+ years of engineering management experience delivering complex, cross-functional product work with high velocity and quality

• Team Builder: Excels at hiring, developing, and retaining strong engineering talent, and creating collaborative, empowering, and high-performing team environments

• Strong Product Sense: Ability to think deeply about our customers and bring strongly informed opinions that contribute to great product experiences

• Technical Judgment: Strong technical background with the ability to guide architectural decisions, evaluate tradeoffs, and maintain engineering excellence without being hands-on day-to-day

• Effective Communicator: Communicates clearly and effectively across technical and non-technical audiences, and thrives in collaborative environments working closely with Product, Design, and Research partners

• Data-driven Thinker: Able to convert business objectives into technical metrics that accurately reflect progress towards those objectives and help guide prioritization

• Adaptable and Resilient: Thrives in fast-paced, high-ownership environments. Seeks opportunities to have impact and values the growth that comes with every new challenge

• AI Adaptability: Actively adapts to the changing landscape of tools and how they can be integrated into the operations of teams to make them more effective. AI is also woven throughout the Descript product, and an understanding of the strengths and weaknesses of the tools and how to evaluate them is essential to driving the success of our product experiences

Extra Credit!

• Experience building creative tools in the past or you're a frequent user of creative media tools. If you join Descript, you'll end up making lots of videos!

• Experience defining strategic technical quality metrics and driving success to those metrics

The base salary range for this role is $222,431-$261,684/year.

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This role sits at the intersection of cutting-edge AI research, production ML infrastructure, and product strategy. You'll be responsible for ensuring our AI capabilities are best-in-class while enabling our product teams to ship AI-powered features that delight users.

As a Product Manager, you'll be responsible for making build vs. buy decisions, evaluating research investment, guiding research direction, owning the evals strategy, driving quality standards, building feedback loops, partnering with product teams, enabling fast iteration, managing dependencies, optimizing COGS, and scaling research infrastructure.

You'll have a strong track record of making sound build vs. buy decisions in the AI space, balancing research exploration with shipping product value, and translating technical capabilities into user-facing product features.

You'll also have experience shipping AI/ML products to production at scale, with a deep understanding of modern ML/AI systems and LLMs, evals frameworks, model training pipelines, and inference infrastructure.

As a leader, you'll be able to articulate a multi-year vision while executing on near-term priorities, understand when to make strategic long-term bets vs. tactical short-term wins, and evaluate competitive landscape and market trends to inform research direction.

You'll be comfortable operating in ambiguity and setting direction when the path isn't clear, with a strong ability to communicate complex technical concepts to non-technical stakeholders.

You'll create processes and frameworks to help teams move faster, establish clear DRIs, success metrics, and timelines, and balance speed with quality and manage risk appropriately.

You'll have strong opinions, loosely held, and be able to make confident recommendations based on available data, but be open to changing your mind when new information emerges.

You'll understand research team dynamics, know how to motivate researchers and give them space to explore while keeping them aligned to product goals, and be able to translate between 'research interesting' and 'product valuable'.

You'll be deeply curious about AI, stay up-to-date on the latest models, techniques, and research papers, and have a point of view on where AI is headed and what it means for creative tools.

You'll be comfortable with infrastructure work, understand that great AI products require great infrastructure, and see MLOps and tooling as strategic investments, not just 'plumbing'.

You'll balance user empathy with technical constraints, advocate for the user experience while understanding technical and cost limitations, and think about the entire user journey, not just individual features.

This role is exciting because of the impact you'll have on Descript's AI strategy and competitive positioning, the scope of the role, the team you'll work with, the timing, and the learning opportunities.

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We're seeking an exceptional iOS engineer to join a small, high-impact team dedicated to creating the world's most valuable AI application, judged by the impact it delivers to users.

Responsibilities

• Dream up and craft delightful, intuitive user experiences that redefine how people interact with AI on mobile.

• Obsess over every pixel, animation, and interaction, ensuring the experience feels magical and seamless.

• Build blazing-fast, highly performant systems where every millisecond counts.

• Drive technical and product decisions, collaborating with AI researchers and engineers to deploy state-of-the-art models globally.

Basic Qualifications

• Expert in Swift, with deep knowledge of UIKit and SwiftUI.

• Proficient in performance optimization,memory, CPU, GPU,using low-level tools to deliver blazing-fast systems.

• Experienced in designing and shipping intuitive, pixel-perfect mobile UIs that redefine how users interact with AI.

• Skilled in concurrency and reactive programming (Combine) for responsive, real-time apps.

• Built high-throughput integrations with APIs (REST, gRPC) or AI model outputs, ensuring seamless data flow.

• Capable of owning complex features end-to-end, from architecture to App Store deployment, with a focus on speed and scalability.

Preferred Skills and Experience

• Deep expertise in the Apple ecosystem and related development tools.

• Rust for working with our backend components.

• AVFoundation for real-time audio processing.

• Track record of shipping standout apps or standout features within apps.

• Deep expertise in iOS development, particularly with Swift. We seek individuals who operate at the highest levels of their craft.

• Excel at delivering results swiftly, often in a fraction of the time others require. Speed is a core value at xAI,we must act decisively to succeed.

• A sharp product sense, with an ability to empathize with users, anticipate their needs, and translate that into features that delight and deliver value.

Compensation and Benefits

$180,000 - $440,000 USD

Base salary is just one part of our total rewards package at xAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks.

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As a Technical Program Manager, you will own one of the most strategically consequential programs in DEeP , driving the direction, health, and outcomes of Stripe's Extensibility platform across Scripts, Custom Objects, and Workflows.

Responsibilities:

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

Requirements:

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

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We're hiring our first Growth Product Manager to spearhead Replit's next wave of growth. This is a rare opportunity to own the full growth strategy for one of the world's fastest-growing platforms. You will play a crucial role in establishing our growth culture, building growth infrastructure, and turning chaos into a systematic, repeatable engine that compounds over time.

In this role, you will:

• Drive Replit’s growth strategy end-to-end: Develop and execute product strategies focused on user acquisition, activation, monetization, and retention.

• Build, experiment, and iterate quickly: Use data and creativity to fuel rapid experimentation. Develop hypotheses, run A/B tests, and analyze metrics to continuously improve our onboarding flows, activation rates, conversion funnels, and engagement loops.

• Collaborate across a world-class team: Work cross-functionally with engineering, design, data science, marketing, and community teams to execute high-impact growth initiatives.

• Champion the user and uncover new opportunities: Conduct user research and dig into user feedback to identify pain points and new ideas for growth.

What You’ll Bring (Requirements):

• Growth Product Management Experience: Demonstrated experience driving substantial user growth in a B2C, prosumer, or self-serve SaaS product.

• Data-Driven & Analytical Skills: You are highly analytical and fluent in using data to inform decisions. Hands-on experience with A/B testing, funnel analysis, and experimentation is essential.

• Product Sense & User Obsession: Deep empathy for users and a passion for creating delightful, habit-forming user experiences. You think creatively about how to reduce friction and increase engagement at each touchpoint of the user journey.

• Execution & Leadership: A self-starter attitude with the ability to thrive in a fast-paced, ambiguous environment. You take ownership from ideation through execution, align cross-functional teams, and can influence without authority. Excellent communication and stakeholder management skills are a must.

• Passion for Our Mission and Tech: Genuine enthusiasm for Replit’s mission to democratize software creation, and excitement about the role of AI in software development.

Nice to Have (Preferred Qualifications):

• Technical background: Computer Science degree or coding experience. Ability to engage with engineers on technical trade-offs and understand the developer mindset.

• B2B/Enterprise growth exposure: Empathy for business and team users – e.g. experience designing products or features for professional or enterprise customers. Understanding of product-led sales or virality in a team context would be helpful as we expand Replit’s footprint in organizations.

• Startup growth chops: You’ve helped build or scale a product in a high-growth startup environment before. Comfort with “building the plane as you fly it” will serve you well as our first growth PM.

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You can be part of the journey to build and scale features that help teams and organizations of any size be more productive with Replit. This is an opportunity to make meaningful impact and shape the culture and processes from the ground up. Working closely with cross-functional teams including product managers, designers, and AI engineers, you'll craft solutions that enable our customers to build, deploy, and share their applications seamlessly. This role requires both technical expertise and a deep understanding of user needs to deliver features that make an impact.

In this role you will:

• Build and own features across the full stack that serve enterprise customers, from backend services to user-facing interfaces
• Design and implement scalable solutions for teams and organizations. This includes enterprise-readiness features like authentication, permissions, security, and compliance, as well as tools that improve team collaboration and drive adoption within an organization
• Work directly with customers to understand their needs and iterate on solutions
• Contribute to technical decisions and architecture for the Enterprise platform
• Collaborate closely with Product, Design, and other Engineering teams to deliver high-quality experiences
• Mentor other engineers and raise the bar for engineering excellence
• Ship quickly and iterate based on customer feedback and usage data

Required skills and experience:

• Strong full stack engineering skills with experience shipping production code
• Experience building B2B or enterprise software products
• Comfort working across the stack - from databases and APIs to frontend frameworks
• Strong product sense and ability to translate customer needs into technical solutions
• Experience with modern web technologies (React, Node.js, TypeScript, or similar)
• Track record of shipping high-impact features and taking ownership of projects
• Excellent communication skills and ability to collaborate with cross-functional teams
• Curiosity and willingness to learn new technologies and domains

Nice to Have:

• Experience with enterprise authentication and authorization systems (SSO, SAML, SCIM)
• Experience with AI/LLM integration in applications
• Understanding of developer tools, internal tools, and workflows
• Previous experience in a high-growth startup environment
• Contributions to open-source projects

Tools + Tech Stack for this role:

• React, TypeScript, CSS, GraphQL, Node.js, and Postgres

This role may not be a fit if:

• You prefer working exclusively on backend systems without user interaction
• You're uncomfortable with the pace and changing priorities of a startup environment
• You require highly structured requirements and aren't comfortable with ambiguity

_This is a full-time role that is held from our Foster City, CA office. The role has an in-office requirement of Monday, Wednesday, and Friday._

Full-Time Employee Benefits Include:

• Competitive Salary & Equity
• 401(k) Program with a 4% match
• Health, Dental, Vision and Life Insurance
• Short Term and Long Term Disability
• Paid Parental, Medical, Caregiver Leave
• Commuter Benefits
• Monthly Wellness Stipend
• Autonomous Work Environment
• In Office Set-Up Reimbursement
• Flexible Time Off (FTO) + Holidays
• Quarterly Team Gatherings
• In Office Amenities

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Location

San Francisco

Employment Type

Full time

Department

Data Science

Compensation

• $293K – $515K • 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 mission is to ensure AGI benefits all of humanity. The API organization is one of the highest-leverage ways we do that: we put frontier intelligence in the hands of builders who turn it into products, businesses, and services that reach people everywhere.

About the Role

As a Data Scientist on the API team, you’ll build the measurement systems that make our platform legible and improveable. You’ll define the metrics that matter, identify and quantify developer friction, evaluate launches and platform changes, and translate data into product decisions that improve reliability and developer outcomes at scale.

Responsibilities

• Own the core KPI framework for the API platform, spanning developer adoption, engagement, retention, and platform health.

• Build end-to-end funnels that identify where developers succeed or get stuck—from first integration through scaling to production.

• Define and operationalize platform guardrails (e.g., reliability, latency, error rates, cost/efficiency) and connect them to user outcomes.

• Design and evaluate experiments and rollouts to quantify the impact of platform and product changes.

• Partner with product and engineering teams to improve instrumentation, data quality, and metric definitions so decisions are fast and correct.

• Translate complex analysis into clear, actionable insights for leadership and cross-functional stakeholders.

• Develop and socialize dashboards, tools, and self-serve data products that help teams answer product questions quickly.

• Help establish data science standards and best practices for measuring AI platform performance and developer success.

• Partner with other data scientists across the company to share learnings and raise the bar on measurement and decision-making.

Requirements

• 10+ years of experience in data science roles within product or technology organizations (platform or developer-facing experience is a plus).

• Expertise in statistics and causal inference, applied in both experimentation and observational studies.

• Expert-level SQL and proficiency in Python for analytics, modeling, and experimentation.

• Proven experience designing and interpreting experiments and making statistically sound recommendations.

• Experience building datasets, metrics, and data pipelines that power production decision-making.

• Experience developing and extracting insights from business intelligence tools (e.g., Tableau) and building self-serve solutions.

• Strong product sense and an impact-driven mindset: you turn ambiguity into crisp frameworks that drive roadmap decisions.

• Ability to build relationships with diverse stakeholders and cultivate strong partnerships across Product, Engineering, Research, and GTM teams.

• Strong communication skills, including the ability to bridge technical and non-technical audiences.

• Ability to operate effectively in a fast-moving, ambiguous environment with limited structure.

Nice to Have

• Are consistently among the first to adopt the latest AI tools, you use them daily to increase your own throughput, and you proactively turn them into

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Location

San Francisco

Employment Type

Full time

Department

Data Science

Compensation

• $293K – $515K • 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 mission is to ensure AI benefits all of humanity. ChatGPT for Work supports that mission by helping more people access real leverage from AI in their day-to-day jobs—so they can spend less time on busywork and coordination, and more time on the work that’s meaningful and additive. We’re building an AI-native workspace where AI acts as a superassistant for everyday tasks and a coworker you can hand work off to—then review, edit, and approve with confidence.

About the Role

As the Data Scientist for ChatGPT for Work, you’ll shape product strategy through data: uncover the user problems most worth solving, form sharp hypotheses about what will move team and business outcomes, and influence what we build next by presenting compelling recommendations grounded in rigorous evidence. You’ll be the DRI for the Work insight → strategy → experiment → decision loop—defining what “success” means for teams, pinpointing the highest-leverage adoption and retention bottlenecks, and turning signals into clear product direction.

You’ll partner closely with Product, Engineering, Research, and Finance to ensure our metrics are trusted, our experimentation is rigorous, and our insights turn into shipped improvements.

Responsibilities

• Own the core KPI framework for ChatGPT for Work, spanning onboarding, activation, engagement, retention, and expansion, as well as quality/trust guardrails.

• Build end-to-end funnels that identify where individuals and teams succeed or get stuck, from first workspace setup through repeat usage and long-term team adoption and value creation.

• Define and operationalize “time-to-value” and collaboration loop metrics, and connect them to business outcomes.

• Design and evaluate experiments and rollouts to quantify the impact of product changes across key Work surfaces and flows.

• Partner with product and engineering teams to improve instrumentation, data quality, and metric definitions so decisions are fast and correct.

• Translate complex analysis into clear, compelling insights that shape product strategy and roadmap decisions.

• Help establish data science standards and best practices for measuring human–AI collaboration and AI-native work outcomes.

• Partner with other data scientists across the company to share learnings and raise the bar on measurement, experimentation, and decision-making.

Requirements

• 10+ years in data science / analytics in in high-velocity product environments

• Direct experience working on B2B products (SaaS, collaboration/workspace, developer tools, or enterprise)

• Expert SQL + strong Python

• Strong experimentation + causal inference judgment (incl. when clean A/B tests aren’t feasible)

• Strong product sense/taste: can turn messy signals into crisp hypotheses and roadmap direction

• Proven ability to inspire and influence PM/Eng/Design + leadership through data storytelling

• Autonomous operator who sets the insights/measurement agenda

• Excellent executive communication; thrives in ambiguous, fast-moving environments

• AI-native operator (non-negotiable): “super AI-pilled”—first to adopt new AI tools, uses them daily to increase throughput, and turns them into durable org workflows

Nice-to-haves

• Experience with agentic and/or AI-native B2B products (agents, copilots, workflow automation, AI collaboration)

• Experience measuring AI product quality, trust, and human-AI interaction signals

• Familiarity with enterprise admin/security constraints and how they shape adoption

• Experience with

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R&D - Toronto, Ontario (Hybrid)

What we’re doing

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

You’ll Thrive Here If…

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

Some things you’ll do

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

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

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

Skills You’ll Bring

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

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

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

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

You WILL NOT enjoy this role if

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

Link to This Job

Location

Toronto, Ontario (Hybrid)

Department

R&D

Employment Type

Full-Time

Minimum Experience

Entry-level

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

What we’re doing

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

You’ll Thrive Here If…

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

Some things you’ll do

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

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

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

Skills You’ll Bring

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

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

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

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

You WILL NOT enjoy this role if

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

Link to This Job

Location

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

Department

R&D

Employment Type

Full-Time

Minimum Experience

Entry-level

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What you'll do

Your responsibilities will span organizing events and webinars, producing thought leadership content, optimizing nurture sequences, crafting sales collateral, identifying top-tier partnership and sponsorship opportunities, and collaborating with the performance marketing team on retargeting and ABM initiatives.

What you need

• Professionally fluent Korean & English speaker
• Previous experience owning a pipeline generation target
• Proven ability to plan and execute high-impact demand generation campaigns (e.g., webinars, white papers, e-books, paid media)

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What you'll do

• Ideate and implement (both frontend and backend) full growth features and experiments to run that have a significant impact on user acquisition, e.g., by driving product virality
• Create in-product onboarding to drive activation
• Set up a pricing experimentation system and use it to iterate on pricing

What you need

• Strong full-stack engineering skills (you can either be backend leaning, frontend leaning, or half-half)
• Strong product sense
• Interest in growth and the business side of things
• (Bonus) Experience launching or growing products
• (Bonus) Competence with analytics and experimentation tools
• (Bonus) Design skills

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