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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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To Apply for this Job Click Here

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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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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Director of Data Science – Pricing, Lead Scoring & Personalization

Location: San Francisco (Remote Eligible)

Salary: $250-280k base + equity

We are looking for a Director of Data Science to lead a high-impact team focused on pricing optimization, lead scoring, and customer personalization for a rapidly growing travel platform backed by top investors. This role is ideal for a data science leader who can define strategy, develop predictive models, and drive measurable business impact through advanced analytics and machine learning.

Key Responsibilities:

• Lead and scale a high-performing team of data scientists and analysts, fostering a culture of experimentation, collaboration, and innovation.
• Develop dynamic pricing models that optimize revenue, improve conversion rates, and enhance market competitiveness.
• Enhance lead scoring and customer personalization by building predictive models that identify high-value leads, optimize sales funnels, and improve user experiences.
• Design and analyze A/B tests, causal inference models, and other experimentation techniques to measure and optimize product, marketing, and operational decisions.
• Establish frameworks for data quality, governance, and self-service analytics to ensure consistency and accessibility across the company.
• Collaborate with Product, Finance, Marketing, Sales, and Operations to define key business metrics, analyze performance, and provide strategic recommendations to executive leadership.

Qualifications:

• 10+ years of experience in data science or analytics, including at least 5 years in leadership roles.
• Expertise in predictive modeling, dynamic pricing, and lead scoring using machine learning and statistical methods.
• Strong experience with SQL, Python, R, and BI tools such as Looker, Tableau, or Sigma.
• Proven ability to translate data insights into business strategy and influence executive stakeholders.
• Deep knowledge of A/B testing, experimentation, and customer segmentation.
• Industry experience in B2B SaaS or travel is a strong plus.
• Bachelor’s degree in a technical field required; Master’s or MBA preferred.

This is an opportunity to shape the data science strategy at a fast-growing company, driving decisions that will transform pricing, customer engagement, and business growth.

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Senior Software Engineer – Go (CDN / Distributed Systems)

Remote – US or Canada

$190-240k base + RSUs

A market leader in cloud infrastructure and developer tooling is seeking a Senior Software Engineer (Go) to help design, scale, and optimize a next-generation global CDN.

This team builds the backbone of high-performance web delivery-handling billions of requests per day and powering some of the fastest, most reliable online experiences in the world.

If you’re passionate about distributed systems, high-performance networking, and building software that powers millions of developers, this is an opportunity to have a direct impact on how the web runs at scale.

The Role

As part of the CDN Infrastructure group, you’ll build and enhance distributed systems that make the internet faster and more resilient. You’ll design large-scale systems, write production-grade code, and collaborate closely with product and infrastructure teams to deliver high-impact improvements in routing, caching, and network performance.

You’ll work across key initiatives that include:

• Evolving an internal CDN framework into a fully production-grade product that customers can use directly.
• Designing systems that enable incremental customer migration onto the platform.
• Scaling redirect handling from thousands to billions of requests per site.
• Adding HTTP/3 support and exploring post-quantum cryptography for next-generation security.
• Driving performance optimization across the edge network and core infrastructure.

This is a role for engineers who love building systems that operate at global scale, thrive on technical depth, and want to shape the future of web infrastructure.

What We’re Looking For

We’re looking for backend engineers with strong distributed systems experience and the ability to design, implement, and scale complex infrastructure.

You’ll bring:

• Proven experience with distributed systems, CDN, caching, or ingress infrastructure.
• Go experience in production (C/C++ backgrounds highly transferable).
• Deep understanding of the HTTP layer and modern cloud networking.
• Experience running systems at scale in a cloud product or infrastructure environment.
• Bonus: experience in Linux kernel tuning, performance optimization, or relevant open-source contributions.

This role is ideal for engineers who are hands-on, performance-oriented, and eager to work on problems of scale.

Why Join

You’ll join a team that values technical excellence, autonomy, and impact-where your work directly shapes how developers build and deploy at the edge.

We operate globally, handle traffic at massive scale, and give engineers the ownership to build systems that redefine what’s possible in web performance and reliability.

We’re a remote-first organization that empowers engineers to make meaningful architectural decisions, ship quickly, and see their impact on real-world products at scale.

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Staff Marketing Analyst

Location: San Francisco (Hybrid)

Salary: $200,000-$250,000 Base + Bonus + Equity

Join a high-growth SaaS innovator backed by top-tier investors as they scale their Marketing Analytics capabilities to power the next phase of growth. This Staff Marketing Analyst position sits at the intersection of data, marketing, and business strategy-delivering the insights that drive pipeline, accelerate conversion, and optimize customer acquisition across all go-to-market motions.

THE ROLE

As a Staff Marketing Analyst, you’ll own the strategy, architecture, and execution of marketing analytics. You’ll partner closely with Growth, Demand Gen, Digital, and Product Marketing teams to define KPIs, analyze performance, and bring visibility to what’s working and what’s not. Your work will influence campaign spend, GTM roadmap, and executive decision-making.

Key Responsibilities:

• Define and evolve core marketing metrics across the funnel: acquisition, pipeline velocity, ROI, CAC, and attribution.
• Deliver clear, actionable insights through in-depth analysis of cross-channel campaigns (digital, paid, content, lifecycle).
• Build scalable dashboards and automated reporting to support real-time visibility for GTM leaders.
• Partner with RevOps and Sales Analytics to align marketing efforts with revenue impact and customer segmentation.
• Identify optimization opportunities through experimentation frameworks, A/B testing, and customer behavior modeling.
• Develop and maintain clean, well-modeled marketing data sets for long-term scalability and growth analysis.

ABOUT YOU

Required:

• 7+ years of experience in analytics, with a strong track record in Marketing or GTM Analytics at a SaaS or high-growth tech company.
• Advanced SQL skills and deep experience with BI tools like Looker, Mode, or Hashboard. Experience with Python or R a plus.
• Strong understanding of modern SaaS marketing channels and KPIs (e.g. MQL, SQL, pipeline contribution, CAC, LTV).
• Strategic thinker with the ability to translate complex data into simple insights and present them to cross-functional stakeholders.
• Comfortable operating independently in a fast-paced, collaborative environment where priorities evolve quickly.

WHAT’S ON OFFER

• High-impact, high-visibility role with ownership across the full marketing analytics stack.
• Competitive compensation and equity at a top-performing AI-driven SaaS brand.
• Opportunity to shape analytics foundations and influence GTM strategy at scale.
• Collaborative culture, modern tech stack, and hybrid flexibility in SF.

To Apply for this Job Click Here

To Apply for this Job Click Here

Staff Marketing Analyst

Location: New York (Hybrid)

Salary: $200,000-$250,000 Base + Bonus + Equity

Join a high-growth SaaS innovator backed by top-tier investors as they scale their Marketing Analytics capabilities to power the next phase of growth. This Staff Marketing Analyst position sits at the intersection of data, marketing, and business strategy-delivering the insights that drive pipeline, accelerate conversion, and optimize customer acquisition across all go-to-market motions.

THE ROLE

As a Staff Marketing Analyst, you’ll own the strategy, architecture, and execution of marketing analytics. You’ll partner closely with Growth, Demand Gen, Digital, and Product Marketing teams to define KPIs, analyze performance, and bring visibility to what’s working and what’s not. Your work will influence campaign spend, GTM roadmap, and executive decision-making.

Key Responsibilities:

• Define and evolve core marketing metrics across the funnel: acquisition, pipeline velocity, ROI, CAC, and attribution.
• Deliver clear, actionable insights through in-depth analysis of cross-channel campaigns (digital, paid, content, lifecycle).
• Build scalable dashboards and automated reporting to support real-time visibility for GTM leaders.
• Partner with RevOps and Sales Analytics to align marketing efforts with revenue impact and customer segmentation.
• Identify optimization opportunities through experimentation frameworks, A/B testing, and customer behavior modeling.
• Develop and maintain clean, well-modeled marketing data sets for long-term scalability and growth analysis.

ABOUT YOU

Required:

• 7+ years of experience in analytics, with a strong track record in Marketing or GTM Analytics at a SaaS or high-growth tech company.
• Advanced SQL skills and deep experience with BI tools like Looker, Mode, or Hashboard. Experience with Python or R a plus.
• Strong understanding of modern SaaS marketing channels and KPIs (e.g. MQL, SQL, pipeline contribution, CAC, LTV).
• Strategic thinker with the ability to translate complex data into simple insights and present them to cross-functional stakeholders.
• Comfortable operating independently in a fast-paced, collaborative environment where priorities evolve quickly.

WHAT’S ON OFFER

• High-impact, high-visibility role with ownership across the full marketing analytics stack.
• Competitive compensation and equity at a top-performing AI-driven SaaS brand.
• Opportunity to shape analytics foundations and influence GTM strategy at scale.
• Collaborative culture, modern tech stack, and hybrid flexibility in NYC.

To Apply for this Job Click Here

To Apply for this Job Click Here

Principal Software Engineer – Data Platform

San Francisco, CA (Remote Eligible – US Only)

$230K-$280K base + equity

Are you ready to lead the design and build of a world-class data platform from the ground up?

A high-growth, product-led tech company is looking for a Principal Software Engineer to lead the build-out of a modern, scalable data platform from the ground up. If you’re excited about solving massive data challenges and shaping the infrastructure that supports real-time analytics and AI/ML at scale, this role is for you.

As the most senior technical IC on the Data Platform team, you’ll partner with leadership across Engineering, Product, Security, and Compliance to design a low-latency, cloud-native data architecture using best-in-class tools like Kafka, Iceberg, ClickHouse, Tinybird, and Snowflake.

Why this role?

• Join a growing Data Platform team
• Own the technical vision and architecture end-to-end
• Tackle petabyte-scale data challenges and real-time streaming use cases
• Work with a cutting-edge tech stack (Kafka, Iceberg, ClickHouse, Snowflake, etc.)
• Drive platform evolution to support AI/ML and company-wide analytics

What You’ll Do

• Design and build a next-gen data platform to power product and internal use cases
• Architect for batch + streaming, scalability, fault tolerance, and low latency
• Lead data modeling, warehousing, governance, and ingestion best practices
• Champion engineering excellence and mentor senior engineers
• Align technical decisions with long-term business strategy
• Optimize for performance, cost, and resiliency in a modern cloud environment

What We’re Looking For

• 8+ years of experience in data engineering or platform architecture
• 5+ years at the Principal Engineer level or equivalent
• Deep expertise with Kafka (and its ecosystem), streaming data systems
• Strong experience with ClickHouse, Iceberg, Snowflake, or similar tools
• Cloud-native architecture expertise (AWS, GCP, or Azure)
• Track record of designing data systems for compliance and governance
• Experience scaling systems to support petabyte-level workloads
• Excellent communication, collaboration, and leadership skills
• Bonus: Experience enabling AI/ML platforms or preparing for IPO-scale growth

To Apply for this Job Click Here

To Apply for this Job Click Here

Staff Data Platform Engineer

US Remote

$200-245k base + Equity

We’re working with a rapidly expanding consumer tech startup that recently raised $125M in Series D funding. As they continue to scale, they’re looking to hire a Staff Data Engineer to join their growing data team. If you have a strong foundation in software engineering, a collaborative mindset, and a passion for driving data strategy, this is the opportunity for you!

The Role:
As a Staff Data Engineer, you’ll be a crucial part of the team, ensuring data is accessible, reliable, and actionable across the company. Working alongside engineers, data scientists, and business teams, you’ll help build scalable data platforms that drive key business initiatives and enable data-driven decision-making.

What You’ll Do:

• Collaborate with engineering, data science, and business teams to understand data needs and implement effective solutions aligned with business objectives.
• Design and build scalable data infrastructure and pipelines to handle high volumes of data as the company grows.
• Lead the design and optimization of data architecture, ensuring it’s secure, high-performing, and scalable.
• Improve and streamline data pipelines to provide fast, reliable access to high-quality data.
• Contribute to the design of reporting frameworks and analytics tools that empower teams to make data-driven decisions.
• Work with security teams to ensure data privacy and compliance standards are met.
• Mentor junior engineers, share expertise, and promote best practices across the team.
• Stay updated on new technologies and suggest improvements to enhance processes and tool efficiency.

You’re a Great Fit If:

• You have 7+ years of experience in data engineering.
• You’ve worked at a leading consumer tech company known for engineering excellence.
• You’re an expert in SQL, Python, and data platform development.
• Nice-to-have: Familiarity with AWS, Kubernetes, Redshift, Athena, S3, and Airflow.
• You have hands-on experience with complex data infrastructures and optimizing data pipelines.
• You’ve led large-scale data projects that had a significant impact on your organization.
• You thrive in collaborative environments and have strong communication skills.
• You have an ownership mindset and take responsibility for delivering results.

To Apply for this Job Click Here

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Staff Analytics Engineer

Location: Remote
Salary: $200-250k

Are you a data expert ready to drive transformative analytics at a cutting-edge cloud platform company? This fast-growing Series C innovator is revolutionizing how teams build, preview, and deploy high-performance digital applications.

About the Role

The Staff Analytics Engineer will lead the design and implementation of robust data models and pipelines, enabling business units to uncover insights and make data-driven decisions. This role is a unique chance to collaborate with engineering, product, and business teams, building scalable analytics systems that power operational efficiency and growth.

Key Responsibilities

• Design and maintain scalable data models and pipelines to serve as a single source of truth across the enterprise.
• Develop tools to enhance data accessibility, auditing, and validation, ensuring consistent, trustworthy datasets.
• Partner with cross-functional teams to uncover actionable insights and support decision-making.
• Build self-service analytics tools and dashboards for key stakeholders, streamlining workflows.
• Collaborate on advancing the company’s data platform using cutting-edge tools like dbt, Snowflake, and Superset.
• Lead initiatives to improve data quality, governance, and discoverability, ensuring alignment with business goals.

About You

• 8+ years of experience in analytics engineering or a similar role in a modern tech company.
• Advanced proficiency in SQL, with experience working on complex datasets.
• Expertise in data platforms like Snowflake or BigQuery and transformation tools like dbt.
• Familiarity with programming languages such as Python, Java, or Go.
• Experience with BI tools like Hashboard or Superset, and a strong grasp of schema design and dimensional modeling.
• Strong communication skills and the ability to collaborate in a fast-paced environment.

Be part of a forward-thinking team where data is at the core of every decision. If you’re passionate about transforming data into meaningful insights, this role offers the chance to work on impactful projects, collaborate with top talent, and make a lasting difference.

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AI Software Engineer

Remote (US – ET/CT Time Zone)
$120K-$160K + Benefits

I’m partnering with a global leader in digital learning technology that’s transforming how millions of students and educators experience personalized, AI-powered learning. Following major investment in generative AI, the company is scaling its AI Platform Engineering team to build the next generation of adaptive learning tools.

This is a hands-on engineering role focused on building production-grade generative AI applications that power multiple products across the business.

The Role:

You’ll design and build scalable, full-stack systems that integrate large language models and AI capabilities into digital learning platforms. Working closely with data scientists, product managers, and engineers, you’ll help take GenAI prototypes from experimentation to production-driving forward real-world AI impact.

Key Responsibilities

• Develop and maintain AI-powered applications and platform services that are reliable, scalable, and secure
• Build and optimize LLM-based and RAG-powered solutions using frameworks such as LangChain or LangGraph
• Collaborate with Data Science teams to productionize models and streamline deployment pipelines
• Lead and contribute to technical design, architecture, and CI/CD improvements
• Ensure applications meet accessibility (WCAG 2.2 AA), performance, and security standards
• Stay current on the latest advancements in GenAI and advocate for best practices across the team

About You

• 5+ years of professional software engineering experience
• Strong full-stack skills across:
• Backend: Python, Node.js, or Go
• Frontend: Angular or React
• Databases: MySQL/PostgreSQL + NoSQL (e.g., DynamoDB)
• Cloud/Infra: AWS or Azure, Terraform, CI/CD tools
• Hands-on experience building AI/GenAI-enabled applications (Azure OpenAI, Amazon Bedrock, etc.)
• Practical understanding of RAG techniques, vector databases, and AI orchestration tools
• Strong system design, performance optimization, and collaboration skills
• Passionate about building impactful technology and staying ahead in the AI space

To Apply for this Job Click Here

To Apply for this Job Click Here

Senior Software Engineer – Lua

Remote (US) | $200,000 – $280,000 base + equity + benefits

A market leader in cloud infrastructure and developer tooling is seeking a Senior Software Engineer to help design, scale, and optimize a next-generation global CDN. This team builds the backbone of high-performance web delivery-handling billions of requests per day and powering some of the fastest, most reliable online experiences in the world.

The Role

As part of the CDN Infrastructure team, you’ll build and enhance distributed systems that make the internet faster and more resilient. You’ll design large-scale systems, write production-grade code, and work closely with product and infrastructure engineers to deliver high-impact improvements in routing, caching, and network performance.

What You’ll Do

• Design, implement, and optimize new CDN features and edge performance improvements
• Diagnose and reduce latency across a global network serving petabytes of data
• Improve reliability and scalability for billions of daily requests
• Build internal tools and workflows for infrastructure developers (primarily in Lua)
• Collaborate across teams to deliver next-generation web infrastructure

What We’re Looking For

• 5+ years of professional experience with Lua
• Deep understanding of HTTP, web servers, and CDN architecture
• Proven experience with distributed systems and large-scale performance optimization
• Strong problem-solving skills and a passion for experimentation
• Bonus: experience with Golang or other backend languages

Why Join

• Work on systems that serve petabytes of data and billions of requests daily
• Competitive compensation including equity and full health coverage
• Flexible, remote-friendly work environment
• Opportunity to shape the next generation of internet-scale infrastructure

To Apply for this Job Click Here