Staff Data Analyst, Product Analytics
San Francisco / $200000 - $240000 annum
INFO
SALARY:
$200000 - $240000
LOCATION
San Francisco
Permanent
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.
CONTACT
Joshua Poore
VP Recruiting – Data Science, ML & AI
SIMILAR
JOB RESULTS
Analytics Engineer
London
£80000 - £85000
+ Advanced Analytics & Marketing Insights
Permanent
London
Analytics Engineer
London, Hybrid (2 days in office) | Up to £85,000
No sponsorship available now or in the future.
This is an opportunity to join a high growth, product led business where data sits at the centre of decision making. You will play a key role in shaping scalable data models and powering insight across the organisation, directly influencing how products are built and improved.
The Company
They are a fast growing digital platform operating within the financial services space, supporting a large and expanding customer base across the UK. The business is mission driven, focused on helping people make smarter long term decisions, with data deeply embedded in their strategy. Their environment is collaborative, inclusive, and focused on continuous improvement, with strong investment in modern data tooling and practices.
The Role
As an Analytics Engineer, you will bridge the gap between data engineering and analytics by creating reliable, analysis ready datasets and scalable data models. You will work closely with analysts and stakeholders to enable high quality insights across the business.
- Design and build automated data transformations to create trusted datasets
- Develop and scale data models and data catalogues across the platform
- Collaborate with analysts and stakeholders to deliver new analytics features
- Improve code quality, documentation, and best practices across the team
- Champion analytics engineering principles within the wider data function
- Enable improved reporting and insight through well modelled data structures
Your Skills and Experience
- Strong commercial experience working with large datasets and delivering insight
- Advanced SQL skills within modern data platforms such as Snowflake, Databricks, or BigQuery
- Experience building and automating data pipelines and transformations
- Familiarity with dbt for data modelling and transformation workflows
- Working knowledge of Python for data processing
- Experience supporting BI tools such as Power BI or similar platforms
- Understanding of data warehouse modelling principles and best practices
- Experience with version control tools such as Git
- Exposure to CI/CD concepts is beneficial
- Experience within financial services is advantageous but not essential
What They Offer
- Salary up to £85,000
- Performance related bonus
- Hybrid working model with London office presence
- Company pension scheme
- Private medical insurance and health cash plan
- Annual learning and development budget
- Home office setup support
- Cycle to work and wellbeing benefits
- Generous annual leave with additional entitlement over time
- Inclusive and collaborative culture with clear progression opportunities
Please note that candidates must be based in the UK. Sponsorship is not available for this position.
How to Apply
If you are interested in applying your analytics engineering expertise in a growing, impact driven environment, please apply with your CV.
Staff Product Data Scientist
$190000 - $220000
+ Data Science & AI
Permanent
California
To Apply for this Job Click Here
Staff Data Scientist (Product)
Location: Remote
Salary: $190-220k
We’re partnering with a fast-growing SaaS company to find a Staff Data Scientist for a senior, high-visibility role embedded in their product organization. This is for someone who combines deep statistical expertise with the ability to influence how an entire company makes decisions – not just someone who runs experiments, but someone who builds the culture and infrastructure around them.
What You’ll Be Doing
- Owning and advancing the company’s experimentation roadmap, focused on high-leverage product questions around customer workflows, churn risk, and long-term value
- Designing and analyzing complex A/B tests, multivariate experiments, and Bayesian methods to measure the real impact of product changes
- Applying causal inference techniques (DiD, synthetic control, propensity score matching, instrumental variables) where traditional RCTs aren’t feasible
- Building and governing a unified KPI framework that connects product health metrics to meaningful business outcomes
- Partnering with Data Engineering to build scalable, self-serve experimentation tooling and reusable analytical frameworks
- Translating complex statistical findings into clear, compelling narratives for VP and C-suite audiences
- Mentoring and training junior and mid-level data scientists on experimental design and causal modeling
What We’re Looking For
This is a senior individual contributor role reporting to the Director of Product Data, acting as a strategic thought partner across Product, Engineering, Finance, Design, and Product Marketing. The company is at an inflection point in how it uses data to make product decisions, and this person will be central to shaping that.
Essential:
- 6+ years in applied data science, economics, or product analytics
- Proven expertise in causal inference: DiD, PSM, instrumental variables, quasi-experimentation
- Deep experience in A/B testing methodology including sequential testing, CUPED, variance reduction, and network effects
- Advanced SQL and Python or R for statistical modeling
- Experience with Snowflake or similar cloud data warehouses
- Exceptional communication skills, comfortable presenting to and influencing C-suite stakeholders
- Demonstrated ability to drive change in organizations where experimentation culture is still developing
Nice to have:
- Experience with dbt, Airflow, or Databricks
- Background in SaaS and product data science
To Apply for this Job Click Here
Staff Data Analyst – GTM Analytics
San Francisco
$200000 - $250000
+ Advanced Analytics & Marketing Insights
Permanent
California
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!
To Apply for this Job Click Here
Lead AI Engineer
San Francisco
$250000 - $300000
+ Data Science & AI
Permanent
San Francisco, California
To Apply for this Job Click Here
Lead AI Engineer
Location: San Francisco Bay Area | Hybrid
Salary: $250-300k + Equity
Join a well-funded, AI-native startup at the forefront of redefining how digital products are designed and shipped.
This team is building a next-generation design platform where every screen is real, production-ready code. Designers work directly in the medium that ships, not static mockups, with AI deeply embedded into the workflow to accelerate iteration while preserving precision, consistency, and control.
Backed by top-tier Bay Area investors and senior product leaders from companies including Shopify, Notion, Dropbox, Stripe, and OpenAI, the company has strong runway, a high bar for talent, and ambitious plans ahead.
They’re now hiring their first dedicated Lead AI Engineer to own the model layer and drive AI performance across the product.
The Opportunity
You’ll work directly with the CTO and founding team to define and execute the AI strategy at the model level.
This is a hands-on, production-focused AI engineering role centered on:
- Fine-tuning LLMs for real-world use cases
- Optimizing inference speed, cost, and reliability
- Designing and deploying custom Small Language Models (SLMs)
- Establishing evaluation, benchmarking, and observability standards
What You’ll Be Responsible For
Fine-Tuning & Model Strategy
- Own fine-tuning workflows (LoRA, adapters, distillation, full fine-tuning)
- Decide when to fine-tune vs optimize at the system or prompt level
- Iterate models based on production feedback
- Balance quality, latency, and cost tradeoffs
Model Optimization & Performance
- Improve inference speed and throughput
- Reduce cost per request
- Enhance reliability and output consistency
- Define model evaluation and benchmarking frameworks
Custom SLM Development
- Design and train custom SLMs for specific design-to-code workflows
- Identify when smaller models outperform larger ones
- Deploy and maintain real-time, streaming AI systems
- Support multi-step and agentic AI capabilities within the product
What They’re Looking For
- 5+ years of software engineering experience
- 2+ years building with LLMs in production environments
- Proven hands-on fine-tuning experience (LoRA, distillation, adapters, etc.)
- Experience deploying custom or specialized models
- Strong intuition around inference tradeoffs: latency, throughput, cost, reliability
- Proficiency in Python and TypeScript / Node.js
Nice to have:
- ONNX runtime or model optimization tooling
- Experience with orchestration frameworks (e.g., LangChain)
- WebSockets, Redis, or real-time streaming systems
- Background in AI-native or code-generation products
- A PhD or advanced degree is welcomed, but demonstrated production impact is the priority.
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