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We’re partnering with a fast-growing fintech innovator that is redefining how financial advice and wealth management are delivered. The company has built an ecosystem of AI-driven platforms spanning wealth management, investing, financial wellness, asset management, and charitable giving – 10+ independent product lines, each addressing a unique use case.

They are looking to hire top-tier Machine Learning Engineers to join small, high-impact teams (2-5 engineers per product line). This is a fully remote role (US-based) where you’ll own end-to-end ML development, from research to production, in a fast-paced startup environment.

Role Highlights

• Work across core product lines (e.g., AI-driven investing, personalized financial guidance, advisor tools).
• Own end-to-end ML workflows: research, prototyping, production deployment.
• Collaborate with product leaders to build AI features directly impacting users and revenue.
• High degree of autonomy and ownership – ideal for engineers who thrive in lean teams.

What They’re Looking For

• Staff ML Engineer: 6-7+ years of experience

Core Skills:

• Strong background in LLMs, neural networks, and reinforcement learning (RL).
• Hands-on experience with fine-tuning large language models (latest techniques preferred).
• Proven expertise in RAG architectures (Retrieval-Augmented Generation).
• Ability to build products from scratch, not just models.

Nice to Have:

• Experience with chatbots, particularly customer-facing applications.

Mindset:

• Strong technical contributor with high autonomy.
• Startup builder mentality: ownership, adaptability, and mission alignment

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SEO Manager

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

Salary: $180,000 – 250,000 Base + RSUs

We are partnering with a hyper-growth SaaS company that is redefining the future of web infrastructure and developer workflows. Backed by a multi-billion-dollar valuation and recent Series E funding, this company is trusted by some of the world’s most innovative technology brands and global enterprises.

This is an opportunity to join a category-defining business at the forefront of AI-powered developer tools, and to play a pivotal role in driving global organic growth.

The Opportunity

As SEO Manager, you will lead the company’s global SEO strategy, shaping how millions of developers and enterprises discover its products. This is a high-impact, hands-on role requiring deep technical SEO expertise, strong analytical skills, and the ability to partner across engineering, content, and product marketing.

You will own end-to-end SEO initiatives, from technical optimization and international SEO to content discovery and performance reporting, directly influencing adoption, engagement, and revenue growth.

What You’ll Own

• Define and execute the global SEO roadmap to drive high-intent traffic, engagement, and self-serve conversion.
• Partner with Web Engineering on technical SEO, including Core Web Vitals, site architecture, structured data, and schema markup.
• Optimize blogs, product pages, and documentation in collaboration with content and product marketing teams.
• Conduct keyword research, competitive analysis, and opportunity sizing to expand market share across developer and enterprise audiences.
• Own SEO KPIs and reporting frameworks, surfacing insights and recommendations to leadership.
• Lead international SEO efforts, tailoring programs for regional ecosystems and enterprise buyers.
• Innovate through testing link-building strategies, new content formats, and emerging trends such as AI-driven and semantic search.

What We’re Looking For

• 10+ years of SEO and organic growth experience in SaaS, developer tools, or B2B technology.
• Demonstrated success driving measurable growth in traffic, engagement, and conversions.
• Strong expertise in technical SEO, including site architecture, structured data, Core Web Vitals, and international SEO.
• Proficiency with tools such as Ahrefs, SEMrush, Screaming Frog, Google Search Console, GA4, and BI platforms (e.g., Looker, Amplitude, Mixpanel).
• Strong analytical and storytelling skills-able to translate insights into actionable strategies.
• Excellent collaborator with proven ability to partner across engineering, content, and product.
• AI-focused SEO knowledge, including leveraging generative AI and emerging technologies to optimize content discovery, semantic search, and long-tail keyword strategies.
• A passion for experimentation and staying ahead of evolving SEO trends, algorithms, and technologies.

Why Apply?

• Take ownership of a mission-critical growth lever at a fast-scaling SaaS leader.
• Collaborate directly with senior leadership and high-caliber technical teams.
• Shape the company’s organic growth engine and influence global adoption.
• Be part of a culture built on velocity, ownership, and innovation.

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Lifecycle Marketing Lead

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

Salary: $140,000 – 200,000 Base + RSUs

We are partnering with a hyper-growth SaaS company at the forefront of AI and developer infrastructure. Backed by a multi-billion-dollar valuation and recent Series E funding, this business is trusted by some of the world’s most innovative technology brands and global enterprises.

This is an opportunity to join a category-defining company and play a pivotal role in shaping customer engagement, retention, and growth at scale.

The Opportunity

As Lifecycle Marketing Manager, you will design and execute global lifecycle campaigns that guide developers and enterprise customers through their journey-from onboarding and adoption to long-term retention and expansion. Sitting at the intersection of Growth, Product Marketing, Data, and Customer Success, this role offers high visibility and direct impact on revenue and customer experience.

What You’ll Own

• End-to-end lifecycle campaigns across email, in-app, and other owned channels to drive adoption and retention.
• Segmentation and personalization strategies to deliver timely, relevant communications to developers and enterprise stakeholders.
• Automated workflows and experimentation, using behavioral triggers and A/B testing to scale lifecycle programs.
• Campaign measurement and reporting frameworks to assess performance and optimize strategies.
• Cross-functional collaboration, ensuring lifecycle marketing supports GTM strategy, Sales, and Customer Success.
• Messaging and creative alignment, working with design and product marketing to create compelling communications.

What We’re Looking For

• 4-7 years of experience in lifecycle, CRM, or growth marketing, ideally in SaaS, developer tools, or B2B tech.
• Proven track record of designing multi-channel lifecycle campaigns that drive measurable adoption and retention improvements.
• Hands-on experience with marketing automation platforms such as HubSpot, Iterable, Braze, or Marketo.
• Strong analytical and problem-solving skills, with ability to turn insights into strategy.
• Experience collaborating with cross-functional teams across Product, Engineering, and GTM functions.
• Excellent written and verbal communication skills, comfortable engaging both developers and enterprise buyers.
• A growth mindset with enthusiasm for experimentation and iteration.

Why Apply?

• Join a high-growth SaaS leader backed by top-tier investors.
• Drive mission-critical lifecycle programs with global reach.
• Collaborate with senior leadership and world-class technical teams.
• Be part of a culture built on innovation, ownership, and velocity.

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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

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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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