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CRM Manager

Nottingham (Hybrid) | Up to £50,000

Are you passionate about using data, customer insight, and engagement strategy to build meaningful supporter relationships? This is a rare opportunity to create and lead a donor retention function from the ground up within a well-established international charity. With strong acquisition activity already in place, you’ll have the autonomy to shape the supporter experience, drive long-term retention, and deliver measurable fundraising impact.

The Company

They are a respected international non-profit organisation delivering humanitarian and development programmes across multiple regions worldwide. Their work spans emergency relief, education, healthcare, clean water, and community support initiatives, helping vulnerable communities build brighter futures.

Following an organisational transformation, they are investing heavily in their fundraising capability and bringing greater coordination to their supporter engagement strategy. This newly created role sits at the heart of that growth and offers significant scope to influence future direction.

The Role

You will lead the development of a donor engagement and retention strategy, designing journeys that strengthen supporter relationships and encourage long-term giving.

Responsibilities include:

• Developing and implementing donor retention, engagement, and reactivation strategies
• Building multi-channel supporter journeys across email, SMS, digital, and other engagement channels
• Using donor data and audience insights to create meaningful segmentation and personalised experiences
• Establishing testing, reporting, and optimisation frameworks to improve retention performance
• Monitoring key retention metrics and delivering actionable performance reporting
• Collaborating with fundraising, marketing, content, and operational teams to deliver campaigns
• Managing retention budgets and supporting best practices across donor care activities
• Identifying opportunities to improve supporter experience and increase lifetime value

Your Skills & Experience

• Strong experience in CRM, customer retention, donor engagement, or lifecycle marketing
• Ability to develop strategy and translate it into practical campaigns and measurable outcomes
• Confident using data, segmentation, and performance analysis to drive decision-making
• Experience managing multi-channel customer or supporter journeys
• Strong stakeholder management and cross-functional collaboration skills
• Comfortable working in a growing environment where processes and strategies are evolving
• Previous fundraising or charity sector experience is beneficial but not essential

What They Offer

• Opportunity to build and shape a new retention function
• Significant autonomy and influence over strategy
• Exposure to senior stakeholders and organisational transformation projects
• Long-term career progression as the fundraising team continues to grow
• Opportunity to contribute to meaningful programmes with global impact

How to Apply

To find out more about this Donor Engagement & Retention Manager opportunity, please apply with your CV or get in touch for a confidential discussion.

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Junior Data Scientist

London | £40,000 – £50,000

This is an excellent opportunity for a Junior Data Scientist to join an early-stage AI business at a pivotal point in its growth. With a growing client base, proprietary datasets, and direct access to experienced founders, you’ll have the chance to make a tangible impact while accelerating your development across Data Science, Data Engineering, and Generative AI.

The Company

They are building an AI-powered platform that helps businesses navigate complex operational and compliance processes through intelligent data solutions. Working in the global trade space, they transform documentation into actionable insights that support decision-making, visibility, and regulatory compliance. The business has secured strong funding and offers a collaborative startup environment where curiosity, ownership, and a passion for data are highly valued.

The Role

As a Junior Data Scientist, you will work closely with the founders and gain exposure to a wide range of data and AI projects.

Responsibilities include:

• Analysing large and complex datasets to uncover insights and business value
• Supporting the development of data pipelines and data engineering processes
• Working with proprietary client data to improve analytics and AI-driven outputs
• Contributing to Generative AI projects using modern LLM technologies
• Assisting with data labelling, model training, and experimentation
• Building reporting, visibility, and decision-support solutions
• Collaborating with stakeholders to understand business challenges and translate them into data-driven outcomes
• Learning how AI can be applied across operational, compliance, and sustainability-focused use cases

Your Skills & Experience

• Strong academic background in a STEM subject such as Computer Science, Mathematics, Physics, Engineering, or a related discipline
• Commercial experience working with data in a professional environment
• Strong Python and SQL skills
• Experience using machine learning libraries through professional work, research, or personal projects
• Exposure to Generative AI technologies and Large Language Models
• Understanding of software engineering fundamentals and development best practices

How to Apply

If you’re a data-driven problem solver with strong Python and SQL skills and want to build your career in Data Science and AI within a growing startup, apply today to learn more about this opportunity.

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Data Engineer Opportunity | Austin, TX (Hybrid)

Build the data foundation behind a rapidly growing, industry-leading organization.

We’re conducting a confidential search for a Data Engineer to join a highly collaborative and data-driven team based in Austin, TX. This is an outstanding opportunity for an early-career engineer who wants to accelerate their growth, gain exposure to modern data platforms, and work on high-impact initiatives that directly support business decision-making.

If you have a strong foundation in Python and SQL, enjoy solving complex data challenges, and want to build scalable data solutions in a fast-paced environment, we’d love to connect. Experience with dbt is highly preferred but not required. The role focuses heavily on developing, optimizing, and maintaining data pipelines, transformations, data models, and data quality processes.

What You’ll Be Doing

• Build and maintain data pipelines, workflows, and transformations that support analytics and business reporting.
• Work closely with business stakeholders to deliver reliable, scalable data solutions.
• Improve data quality, monitoring, validation, and operational processes.
• Contribute to a growing enterprise data platform and modern data engineering practices.

What We’re Looking For

• 2-3+ years of Data Engineering experience
• Strong hands-on experience with Python and SQL
• Experience building or supporting ETL/ELT pipelines
• Exposure to data modeling and analytics environments
• dbt experience is a strong plus
• Strong problem-solving skills and attention to detail

Location & Compensation

Austin, TX (4 days onsite per week)

Base salary up to $180,000 + 10% bonus

Relocation assistance available

Work Authorization Requirement

Due to client requirements, only U.S. Citizens and Green Card holders can be considered. Sponsorship is not available now or in the future.

If you’re interested in learning more, send me a message for a confidential conversation.

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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

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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

To Apply for this Job Click Here

Staff Data Engineer

San Francisco, CA

$240K-$300K base + equity

We’re partnered with one of the most recognized developer platforms in the world, trusted by engineering teams at OpenAI, Meta, Netflix, and Adobe, who are scaling their data platform and looking to hire a Senior Data Engineer to own the pipelines and foundations at the core of their data ecosystem.

You’ll own the full pipeline lifecycle, from ingestion architecture through to analytics-ready data, working closely with Data Platform Engineers and partnering with analysts and data scientists who depend on what you build every day.

What You’ll Do

• Design and build scalable ingestion pipelines and orchestration frameworks across structured, semi-structured, and event-based sources
• Own reliability, observability, and performance across the full pipeline lifecycle from raw ingestion to analytics-ready delivery
• Build and maintain dbt transformation pipelines serving as the single source of truth across Finance, Product, GTM, and Engineering
• Ensure revenue and billing data meets the accuracy and auditability required for public company reporting, including SOX compliance
• Apply software engineering principles throughout: CI/CD, testing, observability, version control, and automation
• Enable self-serve analytics through semantic layer development, strong abstractions, and clear documentation
• Champion data quality and governance across classification, ownership, access policies, and data lifecycle management

What We’re Looking For

• 8+ years in data engineering or a hybrid data/analytics engineering role, with a track record of owning pipelines end-to-end in high-growth or enterprise environments
• Advanced SQL and dbt (Core or Cloud), Snowflake or comparable cloud data warehouse, Python, and Airflow
• Deep experience with Kafka and streaming data systems, with strong working knowledge of ClickHouse, Iceberg, or similar technologies
• Experience with ingestion tools such as Fivetran, Airbyte, or Polytomic
• Cloud-native architecture expertise across AWS, GCP, or Azure
• Experience designing and scaling data systems to support petabyte-level workloads
• Track record of building data infrastructure that meets compliance and governance requirements, including SOX or equivalent
• Strong communication and collaboration skills, with the ability to operate as a senior technical voice across engineering and business stakeholders

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AI Product Manager

San Francisco

$200-250k base + bonus (No equity)

We’re partnering with a fast-growing financial services business that is using AI to fundamentally rethink how core business processes operate.

The company already has production AI agents live across credit and underwriting workflows and is now expanding that approach across Sales, Customer Lifecycle, Finance, and Capital Markets.

This is not a traditional product management role focused on feature backlogs and incremental improvements. The remit is to work directly with business teams, understand how processes operate today, and redesign them from the ground up using AI.

The Opportunity

You’ll work directly on a core AI initiative, owning projects from discovery through launch.

You’ll partner with business teams to understand their processes, identify where AI can help, and turn those needs into clear product requirements.

You’ll then work closely with engineering teams to bring those solutions into production.

It’s a high ownership role with strong exposure to senior stakeholders and a great opportunity to build deeper AI product experience.

What You’ll Be Doing

• Lead discovery sessions with business teams to understand existing workflows, pain points, exceptions, and opportunities for AI
• Translate complex business problems into clear AI product designs and technical briefs
• Reimagine workflows from first principles rather than simply automating existing processes
• Define product requirements, acceptance criteria, quality controls, and evaluation frameworks
• Manage specialist engineering partners through the build and delivery process
• Partner with Data Science and Engineering teams to define evaluation metrics, golden datasets, and production readiness standards
• Coordinate testing, shadow runs, and go live activity for new AI products
• Work closely with end users to drive adoption and ensure products solve genuine operational problems
• Measure post launch impact against defined baselines and identify opportunities for continued iteration

What We’re Looking For

• 3 to 5 years of experience across Product Management, Product Analysis, or a similar product focused role
• Hands on exposure to AI enabled products, LLM applications, or AI agents
• Strong experience running discovery with business stakeholders and turning ambiguous problems into structured solutions
• Ability to create clear product artefacts including process maps, requirements, design briefs, and specifications
• Comfortable working with engineers and challenging technical solutions when they do not align with the product intent
• Strong written communication and structured problem solving skills
• Comfortable operating independently in ambiguous, fast moving environments

Ideally You’ll Also Have

• Experience within an AI native, fintech, lending, or high growth technology environment
• Exposure to AI agents, LLM powered products, or workflow automation
• Experience managing external engineering partners or vendors
• Strong instincts around when AI genuinely adds value versus when a simpler solution is more appropriate
• Experience taking AI products from discovery through production and adoption

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To Apply for this Job Click Here

Product Marketing Manager – Mobile Gaming

Location: Miami, FL (Hybrid)

Salary: $140,000-170,000

Job type: Full-time, Permanent

We’re partnering with a leading mobile game studio in Miami, part of a major international gaming group, to hire a Product Marketing Manager for its flagship title.

This is a rare opportunity to own the full player journey for one of the most recognizable games in its genre, from first ad impression to long-term retention, and turn new content launches into viral cultural moments.

Why This Role?

You’ll be the bridge between the development team and millions of players, owning full-funnel marketing strategy for a chart-topping mobile game. You’ll shape how new features and content packs go to market, drive aggressive organic growth, and lead expansion into new international markets, with real budget ownership and cross-functional influence from day one.

What You’ll Be Doing

• Define target audiences using player data, user research, and community insight, and dig into what’s driving unexpected player trends
• Shape product positioning and brand narratives that turn content updates into must-play moments, backed by competitive analysis and market research
• Design and execute full-funnel go-to-market (GTM) plans that integrate product features with user acquisition (UA), owning budgets and success metrics along the way
• Lead user acquisition and retention campaigns across paid, organic, PR, social, and non-traditional channels, including live events, influencer partnerships, and referral programs
• Build co-marketing and collaboration strategies with influencers, IPs, and consumer brands, coordinating cross-functional teams across product, paid UA, data science, and creative
• Partner with ASO and creative teams to optimize the App Store funnel, listings, and featured placements
• Own CRM and lifecycle marketing strategy to keep every player segment engaged
• Measure marketing impact through incrementality analysis, brand lift studies, and marketing mix modeling (MMM), using the data to optimize spend

What You’ll Bring

• 5+ years of product marketing experience in gaming or entertainment (mobile gaming strongly preferred)
• Bachelor’s degree or MBA in Marketing or a related field
• A proven track record of product marketing strategies and activations that delivered measurable growth
• Fluency in mobile gaming metrics (LTV, retention curves, ROAS, CPI) and the ability to turn analytics into action
• Strong cross-functional leadership: you can align developers, data scientists, and creatives around one goal
• A genuine passion for games and a sharp read on industry trends and the psychology of player engagement

To Apply for this Job Click Here

To Apply for this Job Click Here

Staff Data Scientist, Finance – Consumption Forecasting

Location: San Francisco or New York | Hybrid (3 days per week in office)

Salary: $240-300k base + bonus + equity (RSUs)

This is a rare chance to own forecasting infrastructure at the center of a high-growth, consumption-based developer platform, one that powers some of the world’s most dynamic applications and scales with every developer and enterprise building on it.

As a consumption-based business, forecasting usage across compute, bandwidth, edge, and storage isn’t a support function. It’s foundational to how we plan infrastructure, revenue, and long-term strategy. This role exists to lead that work at the highest level.

What you’ll own

This is a senior individual contributor role with organization-wide impact. You’ll define forecasting methodology, build systems that scale with a rapidly growing platform, and sit at the intersection of Finance, Infrastructure, Product, and GTM with direct visibility to executive leadership.

• Own production revenue forecasting end-to-end: model development, backtesting, deployment, monitoring, and iteration from first principles to live system
• Build forecasting systems that account for usage-based pricing dynamics, consumption patterns, and customer lifecycle across the platform, built for how this business actually works, not retrofitted SaaS models
• Design hierarchical forecasting models across account, cohort, segment, and global aggregate levels, covering operational, quarterly, and long-range planning cycles
• Establish backtesting, monitoring, and explainability standards that make forecast accuracy transparent and defensible
• Build scenario simulation frameworks to evaluate pricing changes, packaging adjustments, and product launches
• Partner with Finance on board-level reporting, with Infrastructure Engineering on capacity planning, and with Product and GTM on adoption curves and usage drivers
• Set forecasting best practices across the broader Data organization

What we’re looking for

• 7+ years in data science, quantitative analytics, or applied statistics at senior or staff level
• Deep expertise in time-series forecasting and statistical modelling in a usage-based or SaaS environment
• Proven track record building and productionizing ML systems at scale
• Strong Python and SQL, with experience on large-scale usage and billing datasets
• Familiarity with probabilistic modelling, hierarchical forecasting, and causal inference
• Experience partnering with Finance or executive leadership on planning cycles
• Comfortable operating autonomously in fast-moving, ambiguous environments

Nice to have

• Background in cloud infrastructure, developer tools, or consumption-based revenue models
• Familiarity with modern data stacks: Snowflake, Delta Lake, dbt, Airflow
• Prior technical mentorship or informal leadership experience

To Apply for this Job Click Here

To Apply for this Job Click Here

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

Senior Data Product Manager

San Francisco, CA (Hybrid)

$200-250k base + Equity

We’re partnering with a connected vehicle intelligence company that has direct integrations with more than 25 automotive OEM brands. Their platform turns raw vehicle data into analytics and actionable insights for fleet operators, rental companies, dealerships, and lenders.

Data sits at the heart of everything they do, including a new AI product layer now in development. They’re now hiring a Senior Data Product Manager to lead the strategy, delivery, adoption, and commercial growth of the data and analytics products behind it.

The Role

• Set the vision, roadmap, priorities, and milestones for the data and analytics product portfolio
• Define how vehicle telemetry is turned into reliable, easy-to-use data products, including insights, datasets, APIs, and developer interfaces
• Engage directly with customers in fleet management, rental, lending, and adjacent enterprise markets to uncover their needs
• Decide which data and analytics opportunities to pursue based on customer value, feasibility, and business impact
• Convert customer insights into well-defined requirements and technical specifications
• Set and uphold standards for data quality, reliability, and launch readiness
• Collaborate on the data foundation that powers LLM-driven insights and agent workflows
• Run customer pilots and guide products from early prototype to full production
• Define how success is measured, covering usage, engagement, performance, and customer results
• Develop the packaging, pricing, and go-to-market model for data products
• Lead product launches and continuously improve based on customer input and usage data
• Work hand in hand with Engineering, Data Science, Design, Sales, and Customer Success

About You

• At least 5 years in enterprise B2B product management
• At least 2 years bringing data or AI products into production with real customer usage
• A track record of owning strategy, roadmap, prioritization, and delivery
• Solid grasp of data platforms, pipelines, APIs, and analytics products
• Practical understanding of how data foundations enable AI, including LLMs, RAG, and evaluation
• Skill at turning complex data capabilities into workflows that enterprises actually use
• Experience leading customer discovery, managing stakeholders, and delivering across teams
• Comfort owning product analytics and defining success metrics
• Based in, or able to work hybrid from, San Francisco or Seattle
• Open to domestic and international travel, including trips to India

Bonus Points

• You’ve built a data product from scratch and grown its adoption
• You’ve worked on enterprise analytics, data platforms, workflow automation, or developer tools
• You have experience with data governance, data monetization, or AI-ready data infrastructure
• You’ve priced and commercialized enterprise products
• You’ve worked in automotive, mobility, fleet, logistics, IoT, or connected devices
• You’ve thrived in a startup or growth-stage environment

Interested?

If you’ve built data products that enterprise customers rely on and want to shape the foundation for the next wave of AI, apply here or message me directly for a confidential conversation. I’m happy to share more about the company and team once we connect.

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