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Performance Marketing Manager – PLG

Location: San Francisco OR New York (Hybrid, 3 days per week in office)

Salary: $185,000 – $250,000 Base + RSUs

We’re working with a hyper-growth SaaS company, backed by a multi-billion-dollar valuation and recent Series E funding. This business is pioneering the future of developer workflows and modern web infrastructure, trusted by some of the world’s most innovative technology brands and global enterprises.

This role sits at the intersection of growth, product marketing, and analytics. You’ll own global PLG performance marketing programs that drive developer adoption, self-serve conversions, and revenue expansion. If you thrive on analytical rigor, creative experimentation, and scaling digital acquisition, this is an opportunity to make a direct impact on growth at a category-defining company.

The Opportunity

As PLG Performance Marketing Manager, you will design and execute high-impact campaigns across paid and organic channels, optimize the end-to-end self-serve funnel, and partner closely with product and growth teams to deliver measurable business outcomes.

What You’ll Own

• Lead multi-channel campaigns across paid search, paid social, display, retargeting, content syndication, and emerging platforms.
• Partner with Growth and Product to streamline onboarding and conversion flows, improving free-to-paid rates.
• Build and manage a robust experimentation program including A/B and multivariate testing.
• Define attribution models and measurement frameworks with Growth Ops and Data.
• Own and optimize a multi-million-dollar acquisition budget with focus on CAC efficiency and LTV:CAC ratios.
• Collaborate with Product Marketing, Sales, and Customer Success to align campaigns with launches and GTM priorities.
• Scale acquisition programs globally, tailoring campaigns for regional developer ecosystems and enterprise segments.

What We’re Looking For

• 8-12 years in performance marketing, demand generation, or growth, ideally in PLG SaaS or developer-focused products.
• Proven success driving self-serve adoption and revenue through digital acquisition programs.
• Hands-on expertise with Google Ads, LinkedIn Ads, Meta, DSPs, and analytics tools such as Amplitude, Mixpanel, Segment, and Looker.
• Strong understanding of PLG funnels, developer behavior, and free-to-paid conversion strategies.
• Highly analytical mindset with experience in attribution modeling, cohort analysis, and funnel optimization.
• Ability to balance strategic vision with hands-on execution.
• Strong cross-functional collaborator with a passion for testing, iterating, and scaling growth programs.

Why Apply?

• Join a high-growth SaaS company at the forefront of AI and developer infrastructure.
• Own mission-critical global growth programs with direct pipeline and revenue impact.
• Collaborate with world-class technical and commercial teams.
• Be part of a culture focused on velocity, ownership, and innovation.

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Performance Marketing Manager – Demand Generation

Location: San Francisco OR New York (Hybrid, 3 days per week in office)

Salary: $185,000 – $250,000 Base + RSUs

We’re partnering with a hyper-growth, AI-driven SaaS company that’s redefining how developers build, scale, and ship modern web applications. Backed by a multi-billion-dollar valuation and recent Series E funding, this company is trusted by some of the world’s most innovative brands and enterprises.

You’ll own global demand generation and performance marketing at scale. If you’re a strategic yet hands-on leader in digital acquisition, this is your chance to drive measurable pipeline growth and shape how a category-defining platform reaches global markets.

The Opportunity

As Performance Marketing Manager (Demand Generation), you’ll be responsible for designing, executing, and optimizing digital acquisition strategies that fuel customer growth. You’ll manage multi-million-dollar budgets, experiment across new channels, and work cross-functionally with Growth, Sales, and Product Marketing to maximize impact.

This role offers high visibility, ownership, and the chance to drive meaningful business outcomes from day one.

What You’ll Own

• Lead multi-channel campaigns across paid search, social, display, retargeting, and emerging platforms.
• Build and execute campaign strategy from audience segmentation through to launch, optimization, and ROI reporting.
• Manage and optimize a multi-million-dollar budget, improving CAC efficiency and LTV:CAC ratios.
• Drive funnel optimization and attribution modeling, collaborating with Growth Ops and Data teams.
• Lead a testing roadmap of A/B and multivariate experiments across channels, creatives, audiences, and bidding strategies.
• Partner with Sales and Product Marketing to align campaigns with GTM initiatives, launches, and enterprise motions.
• Deliver executive-level reporting with insights and actionable recommendations.

What We’re Looking For

• 8-12 years in demand generation, performance marketing, or growth marketing (ideally SaaS, developer tools, or enterprise tech).
• Proven track record of driving pipeline and revenue growth through digital campaigns.
• Deep expertise with Google Ads, LinkedIn Ads, Meta, DSPs, and analytics/attribution platforms (Looker, Segment, Amplitude, Marketo, Salesforce).
• Strong grasp of funnel metrics, attribution models, and performance economics.
• Experience managing large-scale budgets across multiple regions and segments.
• Analytical, data-driven mindset with creative instincts for scaling new channels.
• Excellent collaboration skills with Growth, Sales, Product, and Marketing partners.

Why Apply?

• Join a category-defining SaaS leader at the cutting edge of AI and developer infrastructure.
• Own high-impact programs with direct influence on pipeline and revenue.
• Collaborate with world-class teams and senior leadership on strategic growth initiatives.
• Be part of a culture built on velocity, ownership, and innovation.

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Director of Data Engineering

Location: San Francisco or New York (Hybrid)

Compensation: $300-350K base + Equity

A $3B+ Series E SaaS company at the forefront of AI-powered enterprise transformation is looking for a Director of Data Engineering to scale its Data Platform and Analytics Engineering functions. This is a rare opportunity to lead the next phase of data infrastructure, powering everything from LLM-based product experiences to executive analytics and real-time experimentation.

What You’ll Lead:

• Data Platform Strategy: Define the roadmap for scalable, cloud-native infrastructure-streaming, compute, and storage-including technologies like Apache Iceberg, Kafka, and Snowflake.
• Team & Technical Leadership: Grow and mentor a high-performing data engineering team (2 → 10+), setting engineering standards and fostering technical excellence.
• Cross-Functional Collaboration: Partner with ML, Security, Legal, and Product teams to enable AI/ML platforms, telemetry pipelines, and governance at scale.
• Systems at Scale: Architect robust, real-time pipelines and petabyte-scale infrastructure with streaming pre-aggregations, observability, and cost efficiency.
• Operational Maturity: Drive platform reliability and compliance-readiness as the company prepares for IPO-implementing best practices in governance, testing, and infrastructure as code.

What We’re Looking For

• 10+ years in data engineering, with 5+ years of engineering leadership
• Deep experience scaling data platforms in high-growth SaaS, infrastructure or AI-first environments
• Expert in Kafka, Apache Iceberg, Snowflake, dbt, and cloud infrastructure (AWS or GCP)
• Proven success supporting ML/AI platforms and structured/unstructured data needs
• Strong track record of partnering with legal and compliance to build IPO-ready systems
• A collaborative, technical leader who thrives in fast-paced, high-impact settings

Why This Role

• Lead the data engineering charter at one of the most innovative companies in enterprise AI
• Own systems that power product analytics, experimentation, personalization, and LLM workloads
• Work side-by-side with the C-suite and play a pivotal role in company-scale transformation

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Director of Data Engineering

Location: San Francisco or New York (Hybrid)

Compensation: $300-350K base + Equity

A $3B+ Series E SaaS company at the forefront of AI-powered enterprise transformation is looking for a Director of Data Engineering to scale its Data Platform and Analytics Engineering functions. This is a rare opportunity to lead the next phase of data infrastructure, powering everything from LLM-based product experiences to executive analytics and real-time experimentation.

What You’ll Lead:

• Data Platform Strategy: Define the roadmap for scalable, cloud-native infrastructure-streaming, compute, and storage-including technologies like Apache Iceberg, Kafka, and Snowflake.
• Team & Technical Leadership: Grow and mentor a high-performing data engineering team (2 → 10+), setting engineering standards and fostering technical excellence.
• Cross-Functional Collaboration: Partner with ML, Security, Legal, and Product teams to enable AI/ML platforms, telemetry pipelines, and governance at scale.
• Systems at Scale: Architect robust, real-time pipelines and petabyte-scale infrastructure with streaming pre-aggregations, observability, and cost efficiency.
• Operational Maturity: Drive platform reliability and compliance-readiness as the company prepares for IPO-implementing best practices in governance, testing, and infrastructure as code.

What We’re Looking For

• 10+ years in data engineering, with 5+ years of engineering leadership
• Deep experience scaling data platforms in high-growth SaaS, infrastructure or AI-first environments
• Expert in Kafka, Apache Iceberg, Snowflake, dbt, and cloud infrastructure (AWS or GCP)
• Proven success supporting ML/AI platforms and structured/unstructured data needs
• Strong track record of partnering with legal and compliance to build IPO-ready systems
• A collaborative, technical leader who thrives in fast-paced, high-impact settings

Why This Role

• Lead the data engineering charter at one of the most innovative companies in enterprise AI
• Own systems that power product analytics, experimentation, personalization, and LLM workloads
• Work side-by-side with the C-suite and play a pivotal role in company-scale transformation

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Lead Data Scientist – Personalization & Recommendation Engines

Location: SF Bay Area – Hybrid (3 days/week onsite)

Salary: $200-260k base + Equity

A leading commerce marketplace with 130M+ users and billions of daily events is hiring a Staff Machine Learning Scientist to drive innovation across personalization, feed ranking, computer vision, and GenAI. You’ll work on high-impact ML solutions that directly shape user experience and business outcomes at massive scale.

What You’ll Do

• Lead full-lifecycle ML projects from idea to production across core areas like personalization, trust & safety, marketing optimization, and user engagement.
• Own the ML development process-from data exploration and feature engineering to model training, deployment, and post-launch optimization.
• Collaborate cross-functionally with ML engineers, PMs, and business stakeholders to identify and prioritize high-leverage initiatives.
• Experiment with emerging AI techniques, including GenAI, Computer Vision, and LLMs, to push the boundaries of what’s possible on the platform.
• Build scalable, production-ready ML systems that enhance key metrics like retention, engagement, and conversion.

What You Bring

• 7-10 years of experience building, deploying, and maintaining ML models at scale.
• Deep expertise in Python, SQL, Spark (PySpark or Scala) and frameworks like PyTorch or TensorFlow.
• Proven track record in consumer tech or large-scale marketplaces companies.
• Hands-on experience with CNNs, Transformers, Vision Transformers, and personalization algorithms.
• Background in user behavior modeling, search relevance, or real-time data systems.
• Strong foundation in experimentation (A/B testing), statistics, and applied ML.
• Exceptional communication skills and the ability to translate technical insights into business value.
• Experience with LLMs, RAG (Retrieval-Augmented Generation), or PEFT (Parameter-Efficient Fine-Tuning) techniques.

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Staff Machine Learning Scientist

Location: SF Bay Area – Hybrid (3 days/week onsite)

Salary: $200-260k base + Equity

A leading commerce marketplace with 130M+ users and billions of daily events is hiring a Staff Machine Learning Scientist to drive innovation across personalization, feed ranking, computer vision, and GenAI. You’ll work on high-impact ML solutions that directly shape user experience and business outcomes at massive scale.

What You’ll Do

• Lead full-lifecycle ML projects from idea to production across core areas like personalization, trust & safety, marketing optimization, and user engagement.
• Own the ML development process-from data exploration and feature engineering to model training, deployment, and post-launch optimization.
• Collaborate cross-functionally with ML engineers, PMs, and business stakeholders to identify and prioritize high-leverage initiatives.
• Experiment with emerging AI techniques, including GenAI, computer vision, and LLMs, to push the boundaries of what’s possible on the platform.
• Build scalable, production-ready ML systems that enhance key metrics like retention, engagement, and conversion.

What You Bring

• 7-10 years of experience building, deploying, and maintaining ML models at scale.
• Deep expertise in Python, SQL, Spark (PySpark or Scala) and frameworks like PyTorch or TensorFlow.
• Proven track record in consumer tech or large-scale marketplaces companies.
• Hands-on experience with CNNs, Transformers, Vision Transformers, and personalization algorithms.
• Background in user behavior modeling, search relevance, or real-time data systems.
• Strong foundation in experimentation (A/B testing), statistics, and applied ML.
• Exceptional communication skills and the ability to translate technical insights into business value.

• Experience with LLMs, RAG (Retrieval-Augmented Generation), or PEFT (Parameter-Efficient Fine-Tuning) techniques.

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Staff Growth Product Analyst

US Remote

$200-240k base + equity

About the Role:

We’re looking for a Staff Growth Product Analyst to drive impactful growth analytics for an innovative AI-driven development platform that’s transforming how developers create and deploy user interfaces. Leveraging cutting-edge AI technologies, this platform enables rapid prototyping and significantly accelerates product development, enhancing user growth, engagement, and overall developer experience.

Role Highlights:

• Deep dive into user behaviors, journeys, and growth funnels to uncover opportunities for enhanced engagement and acquisition.
• Generate actionable insights aimed at boosting critical growth metrics like DAU, MAU, and user retention.
• Design, execute, and analyze A/B tests to drive informed decision-making and product improvements.
• Influence strategic decision-making through rigorous data analysis and compelling recommendations.
• Collaborate cross-functionally with product managers, engineers, data scientists, and growth marketers to drive continuous product improvement and iteration.

Who You Are:

• You have 7+ years of proven expertise in growth and product analytics, ideally within early-stage or innovation-driven product environments.
• You’re adept at conducting thorough funnel analyses, spotting rapid experimentation opportunities, and recommending actionable product enhancements.
• You thrive on solving complex analytical problems with high energy and intellectual rigor.
• Experienced with modern data stack (e.g., Snowflake, dbt, Preset, Hashboard, Kafka, Fivetran, Omni, Hex, Sigma, SQL, Python).
• You have previous experience (or a strong interest) in working with AI or machine learning-driven products.

Ideal Fit: You’re a driven, collaborative analytics expert passionate about influencing groundbreaking products. Excited by high-paced, innovative environments, you’re motivated by measurable impact and shaping the future of developer-focused, AI-powered technologies.

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Job Title: Director of Data Science – Biopharma Commercial Analytics
Location: Hybrid – San Francisco Bay Area
Salary: $250-300k base + bonus + equity

Drive the Commercial Data Science Strategy for a High-Growth Digital Health Innovator

Join a mission-driven health tech company redefining how the biopharma industry uses data to drive access, adherence, and market success. This is a unique opportunity to lead the data science function at a fast-scaling, venture-backed startup and shape the next generation of commercial analytics tools and ML-powered insights.

The Role

As Director of Data Science, you’ll lead a team of Data Scientists and Analytical Data Engineers responsible for delivering impactful analytics and machine learning solutions across the commercial lifecycle. You’ll operate as a strategic partner across Product, Customer Experience, and Go-to-Market teams, influencing everything from AI product features to patient access strategies.

Key Responsibilities:

• Build, mentor, and scale a high-performing data science team with a focus on commercialization in the biopharma space
• Lead the development of predictive models and ML algorithms to solve problems in Market Access, Patient Services, and Field Force Optimization
• Own the architecture, data models, and pipelines supporting scalable advanced analytics in a multi-tenant SaaS environment
• Partner with Product and Commercial leaders to translate client needs into intelligent analytics tools and embedded insights
• Present findings and influence decisions at the VP and executive level, internally and with client stakeholders
• Ensure code quality, security, and compliance across deployed models and analytics products
• Monitor trends in commercial analytics, generative AI, and regulatory standards to drive innovation

Your Background

Required Experience:

• 7+ years in biopharma or life sciences commercial analytics, including direct experience in Market Access, Commercial Ops, or Patient Services
• Advanced expertise in machine learning techniques (e.g., regression, classification, forecasting, NLP, A/B testing) applied to real-world commercial use cases
• Proficient in Python and SQL; experience with Snowflake, dbt, and Snowpark highly valued
• Strong understanding of data sets common to biopharma (specialty pharmacy, claims, HCP targeting, CRM, etc.)
• 3+ years managing and scaling high-impact Data Science teams in high-growth or enterprise health tech environments
• Proven record of driving measurable business outcomes through ML/AI-powered solutions
• Excellent cross-functional communication skills; ability to bridge technical depth with commercial strategy
• M.S. or Ph.D. in a quantitative discipline (e.g., Data Science, Engineering, Statistics, Computer Science)

Preferred Qualifications:

• Familiarity with HIPAA, SOC2, HITRUST, or other healthcare regulatory frameworks
• Experience working in AWS-based cloud environments
• Exposure to LLMs, agentic AI frameworks, or AI-enhanced product features
• Background in specialty data integration (e.g., hub services, reimbursement workflows)

What’s On Offer

• Executive-level role shaping the analytics vision for a fast-scaling digital health company
• Competitive compensation, performance bonus, and equity in a high-growth startup
• High-impact work that directly improves patient outcomes and access
• Collaborative and mission-driven culture at the intersection of healthcare and AI
• Opportunity to influence product strategy and drive adoption of next-generation commercial analytics tools

To Apply for this Job Click Here

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Staff Product Analyst

Location: San Francisco (Remote Eligible)

Salary: $200K-$240K base + Equity

We’re hiring a Staff Product Analyst for a hyper-growth, Series E AI company valued at $3B+. This is an opportunity to play a key role in shaping product strategy and growth by leveraging data to drive decisions, optimize user experiences, and unlock new opportunities.

What You’ll Do:

• Shape product strategy with data-driven insights – Define key metrics, track user behavior, and identify trends that impact engagement and retention.
• Deep-dive into user journeys – Uncover friction points and growth levers to enhance adoption, conversion, and retention.
• Optimize experimentation and A/B testing – Design and analyze tests to improve product features, pricing, and personalization strategies.
• Develop self-service analytics tools – Build dashboards and automated reporting to empower teams with real-time data.
• Partner with Product, Engineering & Leadership – Translate complex data into clear, actionable recommendations to improve product performance and business outcomes.

What We’re Looking For:

• 7+ years of experience in Product Analytics, preferably within high-growth tech companies.
• Expert SQL skills and experience working with large-scale product datasets.
• Proficiency in Python or R, with a strong foundation in statistical analysis and experimentation.
• Hands-on experience with A/B testing methodologies and user segmentation.
• Experience with ELT data modeling and BI tools like Looker, Omni, or Hashboard.
• Strong executive communication skills, with the ability to influence product decisions through data.
• Thrives in a fast-paced, high-impact environment, with a passion for uncovering insights that drive product growth.

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To Apply for this Job Click Here

Staff Data Analyst – GTM

Location: Remote
Salary: $200-250k

This fast-growing, Series C cloud platform company is at the forefront of technological innovation, delivering cutting-edge solutions that drive industry transformation. The organization is seeking a highly skilled Staff Data Analyst to lead Go-to-Market (GTM) analytics efforts, enabling strategic growth and turning complex datasets into actionable insights to optimize GTM performance and operational efficiency.

About the Role

This position is central to defining and implementing data strategies that empower GTM teams. By developing metrics, automating reporting, and delivering insightful analyses, the Staff Data Analyst will play a critical role in optimizing growth strategies and ensuring data-driven decision-making.

Key Responsibilities

• Define and implement key GTM metrics to evaluate performance and uncover growth opportunities.
• Conduct in-depth analysis of complex datasets to deliver actionable GTM insights.
• Collaborate with cross-functional teams to identify root causes, refine processes, and inform strategic initiatives.
• Automate reporting workflows and create interactive dashboards to support leadership decision-making.
• Build and enhance datasets for growth optimization and cost reduction initiatives.
• Develop data accessibility solutions, ensuring timely and structured access to insights for all stakeholders.
• Shape the GTM analytics roadmap, aligning data projects with broader organizational goals.

About You

• 6+ years in analytics roles, with expertise in SaaS and product-led growth (PLG) business models.
• Advanced proficiency in SQL and experience with tools such as Looker, Hashboard, or Omni. Familiarity with Python or R and statistical modeling.
• Demonstrated ability to interpret trends, conduct root cause analysis, and deliver data-driven recommendations that influence strategy.
• Strong ability to present complex findings clearly to both technical and non-technical audiences.
• Proven success working in fast-paced, cross-functional environments to drive high-impact outcomes.

This is a unique opportunity to join a dynamic, data-driven organization and make a significant impact on the success of its GTM strategy. If you’re passionate about using data to drive innovation and thrive in a high-growth environment, this role is for you!

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To Apply for this Job Click Here

Staff Data Analyst, Product Analytics

Location: Remote

Salary: $200-250k

Join a rapidly growing, Series C cloud platform company recognized for innovation and leadership in modern technology. This high-impact role offers the opportunity to drive strategy, shape growth, and turn complex data into actionable insights that improve product performance and streamline operational efficiency.

About the Role

The Staff Data Analyst will play a key role in defining critical business metrics, creating scalable visualizations, and automating reporting systems. The position involves collaborating across teams to uncover insights, streamline processes, and optimize data usage to support growth.

Key Responsibilities

• Develop and implement key business metrics to measure performance and identify opportunities.
• Create dynamic visualizations and automate reporting workflows to support decision-making.
• Build and enhance analytics datasets to optimize growth strategies and reduce costs.
• Collaborate with product, business, and leadership teams to deliver data-driven solutions.
• Prototype dashboards and data tools to improve workflows and promote best practices.
• Support data accessibility by maintaining analytical technologies that ensure timely access to data.
• Shape the analytics roadmap, aligning data initiatives with organizational goals.

About You

• 6+ years of experience in a data-focused role such as Data Analyst, Product Analyst, or Business Analyst.
• Proficient in SQL and experienced in working with complex datasets.
• Familiarity with Python or R and applied statistics.
• Expertise in ELT data modeling and tools like Hashboard, Looker, or Omni.
• Strong communication skills with the ability to translate data into actionable insights.
• Adept at collaborating in a fast-paced, cross-functional environment.

This is an opportunity to join a dynamic team where data is at the core of driving decisions and innovation. If you’re passionate about transforming data into meaningful outcomes and enjoy working on high-impact projects, this role offers the chance to make a lasting contribution.

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Job Title: Staff Data Scientist

Location: Remote (US Only)

Salary: $200-250k base + equity

About the Company:

Join a mission-focused organization dedicated to revolutionizing global education by providing innovative learning experiences beyond the traditional classroom. The company’s app is widely used across U.S. schools and impacts millions of children worldwide.

Their team is made up of talented and creative professionals with backgrounds in education and top consumer internet companies such as Instagram, Netflix, Dropbox, Stripe, and Uber. They cultivate an environment where top talent can thrive. If you’re eager to work with some of the best minds in the industry, we encourage you to apply!

Position Summary:

As a Staff Data Scientist, you will be a key player in developing the world’s leading consumer education platform. You will be part of a high-achieving, cross-functional team working closely with product, engineering, and design to shape the company’s strategic direction and tackle challenging product and business issues.

Key Responsibilities:

• Utilize data-driven insights to inform decisions and drive our brand toward new milestones
• Work collaboratively with various teams to discover user insights and pinpoint essential product improvements
• Design and analyze AB/multivariate tests to derive actionable conclusions that boost user engagement
• Lead data science projects, influencing strategic choices and addressing complex problems

Your Skills and Experience:

• 8+ years of experience in data science and product analytics
• Experience in the consumer technology sector
• Proficient in writing efficient SQL queries for large datasets
• Skilled in designing and analyzing A/B tests
• Strong understanding of growth strategies for consumer products
• Experience working in fast-paced startup environments
• Excellent verbal and written communication skills
• Strategic thinker with a keen focus on product development
• Innovative approach to using data to drive product strategy

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