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Growth Engineering Jobs (NOW HIRING)

Emanate

Growth Engineer

San Francisco, CA · On-site

As a Growth Engineer at Emanate, you'll own the systems that turn pipeline into revenue. You'll build and optimize the automated infrastructure behind our outbound, inbound, and partner motions ...

WHOOP

Senior Software Engineer (Frontend, Growth)

Boston, MA · On-site

$133K - $175K/yr

Required : • 5+ years of professional experience in frontend software engineering, with deep ... decisions in a growth or product engineering context • Experience with observability and ...

OpenAI

Android Engineer, Growth

San Francisco, CA · On-site

$230K - $268K/yr

About the Team The Growth team is responsible for helping millions of users discover the value of ... Our work sits at the intersection of product, design, engineering, and experimentation. We own ...

Common Sense

Vice President, Engineering

San Francisco, CA · On-site

$175K - $205K/yr

Serve as a true thought partner to the VP, Product Growth & Engineering, ensuring that engineering and product strategies are tightly integrated and that engineering execution keeps pace with product ...

WHOOP

Senior Software Engineer (Frontend, Growth)

Boston, MA · On-site

$133K - $175K/yr

Required : • 5+ years of professional experience in frontend software engineering, with deep ... decisions in a growth or product engineering context • Experience with observability and ...

WHOOP

Senior Software Engineer (Frontend, Growth)

Boston, MA · On-site

$133K - $175K/yr

Required : • 5+ years of professional experience in frontend software engineering, with deep ... decisions in a growth or product engineering context • Experience with observability and ...

Fastly

Senior Engineer - Growth

Denver, CO

$181K - $217K/yr

The Fastly Growth Engineering team is looking for an experienced, highly collaborative full-stack software engineer to evolve, design, build, and own systems & APIs that drive customer growth across ...

Quince

Staff Software Engineer

Palo Alto, CA · On-site

Drive technical design and architecture for growth engineering systems, including campaign management, ads bidding optimization, and creative generation pipelines. * Collaborate across other ...

Turtles.com

Growth Engineer

Manhattan, NY · On-site

Required : • 3+ years of full-stack or product engineering, ideally on a growth-flavored team. • Comfortable with experiment design, statistics, and SQL. • Strong product instincts. You can ...

Fastly

Senior Engineer - Growth

Denver, CO · On-site

$181K - $217K/yr

The Fastly Growth Engineering team is looking for an experienced, highly collaborative full-stack software engineer to evolve, design, build, and own systems & APIs that drive customer growth across ...

Lemurian Labs

Product Growth Lead

Santa Clara, CA

$196K - $226K/yr

You'll architect the developer journey, own the feedback loop between the market and our product ... Growth Engineering: Define and track key product adoption metrics. Work with technical teams to ...

IPG Photonics

Crystal Growth Engineer

Marlborough, MA · On-site

Job Summary The Crystal Growth Engineer / Senior Crystal Growth Engineer develops, optimizes, and supports melt-grown crystalline materials and associated growth systems. Responsibilities include ...

Rippling

Senior Manager, Automated Growth

San Francisco, CA · On-site

$220K - $275K/yr

You 'll collaborate across Marketing Ops, Growth Engineering, RevOps and Product to find new unlocks for Rippling's revenue engine. We're looking for a curious, technical generalist with very strong ...

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Growth Engineering information

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$46.5K

$146.9K

$174K

How much do growth engineering jobs pay per year?

As of Jul 1, 2026, the average yearly pay for growth engineering in the United States is $146,868.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,500.00 and $173,000.00 per year, depending on experience, location, and employer.

How does a Growth Engineer typically collaborate with marketing and product teams to drive user acquisition?

Growth Engineers work closely with both marketing and product teams by analyzing user data, running experiments, and implementing technical solutions to optimize user acquisition and retention. They often participate in cross-functional meetings to understand campaign goals, translate marketing strategies into technical tasks, and build features or tools that support growth initiatives. This collaborative environment allows Growth Engineers to rapidly test hypotheses, measure results, and iterate on product features that directly impact business metrics.

What are the key skills and qualifications needed to thrive as a Growth Engineer, and why are they important?

To thrive as a Growth Engineer, you need a strong background in software development, data analysis, and experimentation, usually supported by a degree in computer science or a related field. Familiarity with A/B testing platforms, analytics tools like Google Analytics or Mixpanel, and marketing automation systems is typically required. Creative problem-solving, cross-functional collaboration, and a data-driven mindset are crucial soft skills for excelling in this role. These skills are important for identifying high-impact growth opportunities, rapidly iterating on solutions, and driving measurable business results.

What is Growth Engineering?

Growth engineering is a multidisciplinary field focused on using data, experimentation, and engineering to drive user acquisition, retention, and revenue growth for a company. Growth engineers work closely with product, marketing, and data teams to identify opportunities, build scalable solutions, and run A/B tests to optimize product features and user experiences. Their work often involves rapid prototyping, analytics, and deploying features that directly impact key business metrics. This role requires a strong technical background combined with a growth mindset and the ability to adapt quickly to changing priorities.

What is the difference between Growth Engineering vs Data Analyst?

AspectGrowth EngineeringData Analyst
Required credentialsTechnical skills, coding, understanding of growth toolsStatistical knowledge, data analysis skills, often a degree in statistics or related field
Work environmentCollaborates with marketing, product, and engineering teams to implement growth strategiesAnalyzes data to inform business decisions, often working with large datasets
Employer and industry usageTech companies, startups, SaaS firms focusing on user growthAcross industries for data-driven decision making, marketing, and product optimization

Growth Engineering and Data Analysts both work with data, but Growth Engineers focus on building and implementing growth experiments and tools, while Data Analysts interpret data to guide strategic decisions. Growth Engineering is more technical and implementation-focused, whereas Data Analysts emphasize analysis and reporting.

More about Growth Engineering jobs
What cities are hiring for Growth Engineering jobs? Cities with the most Growth Engineering job openings:
What states have the most Growth Engineering jobs? States with the most job openings for Growth Engineering jobs include:
What job categories do people searching Growth Engineering jobs look for? The top searched job categories for Growth Engineering jobs are:
Growth Engineering jobs near you
Product Engineer, Growth & AI Learning Experiences

Product Engineer, Growth & AI Learning Experiences

OpenAI

San Francisco, CA • On-site

$230K - $385K/yr

Full-time

Posted 5 days ago

Job description

About the team
GTM Growth Engineering builds product systems that help OpenAI's go-to-market organization scale with better signal, faster learning, and more leverage. We work in live GTM workflows where agents and humans together identify important customer moments, recommend or take the next action, route judgment-heavy work, and measure whether the workflow improved business outcomes.
The Learning Experiences pod sits inside GTM Growth Engineering. Its focus is helping users and organizations build practical AI literacy and confidence inside OpenAI products: contextual guidance, hands-on practice, feedback, progress, re-entry, and clear next steps.
About the role
We're looking for a product engineer to help build learning experiences directly inside OpenAI products that drive user acquisition, activation, retention, and more meaningful use of AI. You will turn ambiguous product and learning goals into polished, reliable, user-facing experiences that help people learn by doing.
You will own meaningful product slices end to end: interaction design details, frontend implementation, backend APIs and services, progress/state, content and runtime integration, telemetry, and launch readiness.
The role is ideal for a strong product engineer who can connect product craft to measurable outcomes, with an added spike in education, learning science, coaching, assessment, onboarding, training, enablement, or AI literacy.
What You'll Do
  • Build end-to-end product experiences that help users learn AI through real tasks inside OpenAI products.
  • Own full-stack product slices from prototype through launch, hardening, instrumentation, and iteration.
  • Create intuitive flows for onboarding, guided modules, practice, knowledge checks, feedback, progress, re-entry, and recommended next steps.
  • Build product flows that respond to a user's starting point and avoid one-size-fits-all learning paths.
  • Partner with product, design, content, research, data, customer-facing, safety, privacy, support, and go-to-market teams to ship trustworthy learning experiences.
  • Turn learning goals into clear product flows, reusable UI patterns, and product metrics we can improve.
  • Instrument the experience so we can understand usage, friction, completion, learning signals, and product quality.
  • Connect learning experiences to real product usage, user feedback, and operational signals so the product improves as it scales.
  • Make pragmatic tradeoffs across speed, quality, scalability, and operational simplicity in a 0-to-1 product area.

What We're Looking For
  • Have 4+ years of experience as a software, product, or full-stack engineer building high-quality user-facing products.
  • Strong product judgment and a track record of turning ambiguous ideas into shipped product.
  • Strong frontend or full-stack engineering skills, with comfort across modern web apps, APIs, data models, stateful user flows, and instrumentation.
  • Experience building in 0-to-1 or fast-moving product environments where user needs, product shape, and success metrics are still being discovered.
  • A high bar for UX quality, interaction details, accessibility, reliability, and user empathy.
  • Experience partnering closely with design, product, research, data, content, operations, and customer-facing stakeholders.
  • Ability to use qualitative feedback and product data to identify friction, prioritize work, and improve outcomes.
  • Clear written and verbal communication, especially when simplifying complex technical concepts for different audiences.
  • Careful judgment when building products that shape how users understand and use AI.

You Might Thrive If
  • You like 0-to-1 product work where the right answer is discovered through shipping, measurement, and iteration.
  • You are excited by product surfaces that sit close to real users, real workflows, and measurable business outcomes.
  • You can move between prototype speed and production-quality engineering without losing sight of the user.
  • You enjoy working with non-engineering partners and turning domain expertise into clear product experiences.
  • You are energized by education, behavior change, skill development, or helping people gain confidence with new tools.
  • You have strong opinions about product craft but can adjust quickly as evidence comes in.

Nice to Have
  • Experience building education, edtech, learning, tutoring, coaching, assessment, onboarding, training, or enablement products.
  • Experience in AI literacy, workforce learning, enterprise enablement, developer education, or similar spaces where users need to build confidence and skill over time.
  • Experience building AI products, LLM applications, developer tools, agent-assisted workflows, or personalized user experiences.
  • Experience building customer-facing, revenue, sales, support, or go-to-market systems where product quality and operational feedback loops matter.
  • Experience with feedback loops, diagnostics, telemetry, experimentation, evaluations, or learning measurement.
  • Experience building product surfaces used by both individual users and organizations, including admin, reporting, or support-readiness considerations.

About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
For additional information, please see OpenAI's Affirmative Action and Equal Employment Opportunity Policy Statement.
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
OpenAI Global Applicant Privacy Policy
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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