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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

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Senior Analytics Engineer

Location: Remote

Salary: $150-170k base

We’re partnering exclusively with a fast-growing SaaS company to find a Senior Analytics Engineer to join their data team. This is a high-impact, high-autonomy role sitting at the intersection of data engineering and analytics, perfect for someone who takes pride in building data foundations that the whole business relies on.

What You’ll Be Doing

• Designing and building dimensional data models in Snowflake that underpin analytics across the business
• Developing and optimising dbt models to turn raw source data into clean, trusted datasets
• Partnering with analysts and business stakeholders to translate their needs into scalable data solutions
• Implementing data quality checks and owning the reliability of analytics datasets
• Contributing to data governance including PII handling, metadata management, and documentation
• Supporting strategic analytics across customer journeys, revenue metrics, and product usage
• Mentoring junior team members and championing best practices

What We’re Looking For

The company runs a best-in-class modern data stack built around Snowflake, dbt, and Monte Carlo, with data flowing in from Salesforce, HubSpot, Recurly, and core product databases. The team is evolving toward an AI-enabled, domain-oriented data organisation, so there’s real scope to shape the architecture, not just maintain it.

Essential:

• 5+ years in analytics engineering, data engineering, or a similar data-focused role
• Expert-level SQL: complex queries, CTEs, window functions
• Strong hands-on dbt experience
• Snowflake (or equivalent cloud warehouse: BigQuery, Redshift)
• Solid understanding of dimensional modelling and data warehouse design patterns
• Experience with SaaS metrics: MRR, churn, CLV etc.
• Python for data work or automation
• Familiarity with data orchestration tools (Airflow / MWAA)
• Comfortable working remotely and cross-functionally with distributed teams

Nice to have:

• Experience with reverse ETL tools such as Hightouch
• Exposure to BI tools (Hex preferred)
• Understanding of data mesh or domain-oriented architecture concepts

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Senior Analytics Engineer
Location: Los Angeles, CA (Hybrid)

Salary: $150-200k base

We’re partnering with a rapidly scaling, mission-focused advanced technology company operating at the intersection of AI, hardware, and large-scale systems. Their software platform aggregates and operationalizes complex, real-time data to power critical decision-making in high-stakes environments.

As the company continues to grow, they are hiring a Senior Analytics Engineer to help architect and scale the core data foundation of the business.

The Opportunity

You will design and implement the core data models that represent how the organization operates across functions such as Finance, Supply Chain, Manufacturing, People, and Operations. These models will power internal applications, workflows, and metrics used by leadership to run the business.

You’ll sit at the intersection of analytics, engineering, and operations, helping build a scalable “digital twin” of a fast-moving, technically complex organization.

What You’ll Do

• Define and develop domain-level data models that reflect real business operations
• Build secure, scalable, and extensible transformations and data pipelines
• Own ingestion and egress frameworks across multiple source systems
• Contribute to architectural decisions and roadmap direction for the data platform
• Partner cross-functionally with engineering, product, and operations stakeholders
• Translate ambiguous business questions into structured, production-grade data systems
• Drive adoption of self-serve data applications beyond traditional BI

What They’re Looking For

• 5+ years of experience in Analytics Engineering, Data Engineering, or highly technical analytics roles
• Advanced SQL skills and strong experience with Python or similar languages
• Demonstrated success building scalable, reusable data models in fast-paced environments
• Experience with modern data stack tools such as dbt, Redshift, and BI platforms; exposure to enterprise data platforms is a plus
• High degree of ownership and comfort operating autonomously
• Strong communication skills and ability to partner with non-technical stakeholders
• Ability to obtain and maintain a U.S. Secret security clearance

This is a high-impact opportunity to shape foundational data systems inside a company solving complex, real-world problems at scale. If you’re excited by building data applications that influence how an organization operates, click apply to learn more.

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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.

To Apply for this Job Click Here

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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

To Apply for this Job Click Here

Staff GTM Data Scientist

Location: Remote

Salary: $190-220k base

We’re partnering with a fast-growing SaaS company to find a Staff Data Scientist for a senior, high-visibility role sitting at the heart of their product and go-to-market strategy. This isn’t a reporting role or a dashboard-builder position. It’s for someone who can drive a genuine shift toward data-driven decision making across the organization, and who has the technical depth and communication skills to bring leadership along with them.

What You’ll Be Doing

• Owning and advancing the company’s experimentation roadmap, focusing on high-leverage questions around customer workflows, churn risk, and long-term value
• Designing and analyzing complex A/B tests, multivariate experiments, and Bayesian methods to assess the real impact of product and business 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 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 GTM Data, acting as a strategic thought partner across Product, Marketing, Finance, and Engineering. The company is at an inflection point in how it uses data, 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 maturing

Nice to have:

• Experience with dbt, Airflow, or Databricks
• Background in SaaS and product data science

To Apply for this Job Click Here

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.

To Apply for this Job Click Here

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Senior Data Platform Engineer

Location: Los Angeles, CA

Salary: $160-200k base

We’re partnering with a fast-scaling, mission-driven advanced technology company building complex software and hardware systems deployed in real-world environments. Their platform processes and operationalizes high-volume data to power critical decision-making across the organization.

They are hiring a Senior Data Platform Engineer to design and scale the core data infrastructure that supports company-wide operations.

The Role

As a Senior Engineer on the Data Platform team, you will:

• Design and build scalable data pipelines and transformation frameworks
• Own ingestion and egress systems that unify multiple operational data sources
• Develop reliable, secure data models that power internal data products and applications
• Partner with engineering, product, and operations to translate business needs into production-grade systems
• Advocate for best practices across testing, CI/CD, data modeling, and security
• Debug and optimize complex transformation pipelines in production environments

What They’re Looking For

• 5+ years of experience in data engineering or backend engineering
• Strong programming skills in Python or similar languages
• Experience with Spark, PySpark, SQL, and dbt
• Familiarity with large-scale data platforms and cloud environments (AWS, Azure, or GCP)
• Experience with containerization and modern deployment practices
• Ability to operate autonomously in fast-moving environments
• Strong ownership mindset and attention to security best practices
• Must be a U.S. Person due to export-controlled information requirements

This is a high-impact role focused on building durable data systems that directly support operational execution at scale.

To Apply for this Job Click Here

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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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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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SENIOR ANALYTICS ENGINEER

£70,000-£75,000 + BENEFITS

PIMARILY REMOTE

An opportunity to join a popular telecoms company expanding into new markets!

THE COMPANY:

Over the past few years, this telecoms company has expanded. With a rich data set, they have lots of data to work with and are keen to bring in a Senior Analytics Engineer to help with data modelling and transformation.

THE ROLE:

A remote working Senior Analytics Engineer will need to:

• Design and build data models
• Support implementation and maintenance of ELT pipelines
• Ingest data into Snowflake
• Transform data using DBT
• Empower teams to make data driven teams

YOUR SKILLS AND EXPERIENCE:

A successful Senior Analytics Engineer will have the following skills and experience:

• Ability and experience interacting with key stakeholder
• Data modelling techniques – e.g. DataVault, Kimball etc.
• Strong experience in SQL/Python
• Data Cloud Tech experience – e.g. Snowflake/BigQuery/Databricks
• Data transformation experience using DBT

THE BENEFITS:

You will receive a salary, dependent on experience. Salary is up to £75,000 On top of the salary there are some fantastic extra benefits.

HOW TO APPLY

Please register your interest by sending your CV to Molly Bird via the apply link on this page.

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Director of Streaming Product & Growth

Leeds – Hybrid (3 days a week in the office)

Up to £160,000 + performance bonus

This is an exceptional chance to shape the future of a major digital streaming platform at a critical stage of its development. You’ll take full ownership of a rapidly scaling subscription product-driving commercial performance, leading digital transformation, and influencing strategic direction across the organisation.

The Role

As Director of Streaming Product & Growth, you will serve as the commercial lead for the digital subscription offering. Your responsibilities will include:

• Defining the strategic vision and market position for the streaming subscription proposition.
• Leading the commercial roadmap across pricing, packaging, go‑to‑market strategy, and customer lifecycle.
• Steering revenue growth and enhancing P&L performance through clear strategy and effective commercial levers.
• Owning end‑to‑end growth initiatives across acquisition, retention, churn reduction, and lifetime value optimisation.
• Collaborating closely with Product, Marketing, Data, Finance, Audience Insight, and Editorial teams to drive digital‑first growth.
• Harnessing data, experimentation, and customer behaviour insights to inform strategic decisions.
• Influencing senior stakeholders and bringing multiple teams together behind unified growth objectives.

Your Skills & Experience

• Excellent stakeholder management skills, with the authority and presence to influence at leadership and executive level.
• Strong commercial acumen with experience shaping revenue‑generating strategies.
• Background in digital subscription, streaming, or direct‑to‑consumer business models.
• Expertise in churn reduction, forecasting, revenue modelling, and subscription dynamics.
• Broad digital growth capability across performance marketing, product, analytics, and customer journey optimisation.

What’s On Offer

• Salary up to £160,000 plus performance‑based bonus.
• Hybrid working model with an engaging office culture in Leeds.
• A high‑impact role in a flagship digital transformation programme.
• The chance to influence strategy at scale and shape the future of a leading UK streaming service.

How to Apply

If you would like to register your interest, apply below or send your CV

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