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Senior/Staff AI Engineer (Founding Team)
Remote (US) | $150,000 to $220,000 base salary + equity
This is a unique opportunity to join a high-growth AI business at an inflection point in its journey. As part of the founding AI Engineering team, you will play a pivotal role in building production-grade agentic AI systems that deliver measurable value to customers while helping shape the company’s technical direction, engineering standards, and culture from the ground up.
The Company
They are a venture-backed AI company developing next-generation AI infrastructure and intelligent workflow automation products. Rather than applying AI to existing solutions, they are building foundational platforms that enable agent orchestration, automation, and scalable production AI systems. Following recent investment, they are expanding their engineering team and investing heavily in product innovation. Their environment is collaborative, fast-moving, and focused on delivering tangible business outcomes.
The Role
You will work closely with engineering and product leadership to build, deploy, and optimise AI-powered products used in real-world customer environments.
Key responsibilities include:

• Designing and developing production AI features from concept through deployment
• Building agentic workflows and orchestration frameworks
• Developing intelligent automation solutions for complex business processes
• Optimising model performance, latency, reliability, and cost efficiency
• Collaborating with Product teams to measure customer impact and business outcomes
• Contributing across the full software development lifecycle
• Influencing technical architecture, engineering practices, and platform strategy
• Supporting the development of scalable AI systems in a greenfield environment

Your Skills & Experience
You will bring strong commercial software engineering experience combined with hands-on expertise in modern AI technologies.
Key requirements:

• Experience building and deploying production LLM applications
• Expertise in agentic AI systems and workflow orchestration
• Hands-on experience with LangChain or similar orchestration frameworks
• Strong software engineering fundamentals and architecture capabilities
• Experience delivering customer-facing AI products
• Ability to own features and projects end-to-end
• Experience operating effectively within startup or high-growth environments
• Product-focused mindset with an emphasis on measurable outcomes

Desirable experience:

• Multi-agent systems
• Retrieval Augmented Generation (RAG) architectures
• AI evaluation and experimentation frameworks
• Prompt engineering
• MLOps or LLMOps practices
• Cloud-native infrastructure
• Exposure to advertising technology, marketing technology, or automation platforms

What They Offer

• Base salary between $150,000 and $220,000
• Meaningful equity participation
• Fully remote working environment with access to a collaborative engineering community
• Direct exposure to founders and executive leadership
• Significant ownership and autonomy
• Opportunity to influence platform architecture and engineering culture
• Clear progression within a rapidly scaling AI organisation
• Opportunity to work on cutting-edge agentic AI systems with immediate customer impact

How to Apply
If you are excited by the opportunity to build production AI systems, take ownership of complex engineering challenges, and help define the future of intelligent automation, apply today. Based on the experience you bring, candidates will be considered at Senior or Staff level

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Senior AI Engineer (Founding Team)

Remote (US) – NYC Preferred

$175,000 – $200,000 Base + Equity

THE COMPANY

Harnham is partnering with a venture-backed, early-stage AI startup building an agentic AI operating system for the advertising and marketing industry. Having recently completed a successful Series A funding round, the company is entering a rapid growth phase and is focused on developing foundational AI infrastructure that enables intelligent workflows, agent orchestration, and large-scale production AI systems.

Rather than layering AI onto existing software, the organization is building AI-native products from the ground up. With a lean team of approximately ~30 employees and a highly collaborative engineering culture, this is an opportunity to work directly alongside founders and technical leadership to define the future of AI-powered workflow automation.

RESPONSIBILITIES

• Build and deploy production-grade AI features from concept through implementation and launch.
• Design and develop agentic AI workflows, orchestration frameworks, and intelligent automation systems.
• Create AI-powered applications that solve complex advertising and marketing challenges.
• Optimize model performance, latency, reliability, and operational costs across production environments.
• Collaborate closely with Product and Customer Success teams to validate business impact and customer outcomes.
• Own features end-to-end, from architecture and development through deployment and ongoing optimization.
• Contribute to platform architecture, engineering standards, and technical best practices.
• Help shape the long-term direction of the company’s AI infrastructure and product strategy.

SKILLS AND EXPERIENCE

• Strong software engineering background with experience building and shipping production AI applications.
• Hands-on experience developing LLM-powered applications in production environments.
• Experience designing and implementing agentic AI systems and workflow orchestration frameworks.
• Proficiency with LangChain or comparable orchestration technologies.
• Demonstrated experience owning customer-facing products from development through deployment.
• Strong software engineering fundamentals, including application architecture, testing, and scalability.
• Comfort operating in fast-paced startup environments with high ownership and ambiguity.
• Product-oriented mindset focused on measurable customer and business outcomes.
• Ability to work across the technology stack and contribute wherever needed.

PREFERRED EXPERIENCE

• Experience with multi-agent systems and advanced orchestration architectures.
• Knowledge of Retrieval-Augmented Generation (RAG) systems.
• Experience implementing AI evaluation and testing frameworks.
• Prompt engineering expertise.
• Background in marketing, advertising technology, or related industries.
• Experience with MLOps, LLMOps, and cloud-native infrastructure.
• Exposure to vector databases and large-scale AI platform architectures.

BENEFITS

The compensation package includes a competitive base salary, meaningful equity participation, and the opportunity to join a high-growth AI startup at an early stage. This role offers significant ownership, direct access to founders and engineering leadership, and the chance to help define the future of production-grade agentic AI systems.

HOW TO APPLY

Please submit your CV via the Apply link on this page to register your interest.

KEY TERMS

Artificial Intelligence | Agentic AI | AI Agents | Large Language Models | LLMs | LangChain | Workflow Automation | Multi-Agent Systems | RAG | Prompt Engineering | MLOps | LLMOps | Production AI | Software Engineering | Startup | Marketing Technology | Advertising Technology | Full Stack Engineering | AI Infrastructure | Machine Learning | Founding Engineer | Generative AI | Automation Platforms | Cloud Infrastructure

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Lead AI Engineer

London (Hybrid, 1 day per week) | Up to £110,000 + 15% Bonus

This is an exciting opportunity for a Lead AI Engineer to join a business making significant investment in AI and automation. You will play a pivotal role in shaping AI strategy, leading the delivery of production-grade GenAI solutions, and driving innovation across multiple high-impact business areas. With strong executive backing and a growing pipeline of AI initiatives, this role offers genuine influence and ownership from day one.

The Company

They are a well-established, technology-driven organisation operating at scale within a highly regulated environment. As part of a wider digital transformation programme, they are investing heavily in AI, automation, and advanced data capabilities to improve customer experiences and operational efficiency.

Their AI function is expanding rapidly, with multiple GenAI and machine learning initiatives moving from concept into production. You will join a collaborative team where technical expertise is valued, decisions are made pragmatically, and innovation is closely aligned to measurable business outcomes.

The Role

As a Lead AI Engineer, you will be responsible for leading the design, development, and deployment of AI solutions that deliver real business value.

Responsibilities include:

• Owning end-to-end delivery of AI and GenAI solutions from discovery through to production.
• Leading architecture decisions and providing technical direction across multiple AI initiatives.
• Building scalable, secure, and reliable AI applications within an enterprise environment.
• Driving build versus buy evaluations and recommending appropriate technologies.
• Delivering solutions including retrieval-augmented generation (RAG), agentic AI, automation, and intelligent decision-support tools.
• Working closely with engineering, security, governance, and business stakeholders.
• Navigating complex and ambiguous problem spaces to identify practical AI opportunities.
• Providing technical leadership, guidance, and mentoring within the AI engineering function.
• Contributing to the wider AI strategy and future direction of the capability.

Your Skills & Experience

• Strong commercial experience delivering GenAI solutions into production environments.
• Proven ability to lead AI projects from concept through deployment and operational management.
• Excellent software engineering fundamentals and experience building scalable applications.
• Experience making architecture and technology decisions within enterprise organisations.
• Strong knowledge of modern AI engineering practices, including LLMs, RAG, agentic workflows, and MLOps concepts.
• Experience working with cloud platforms, ideally AWS.
• Ability to balance innovation with risk, governance, and operational requirements.
• Strong stakeholder management and communication skills.
• Experience within financial services or other regulated environments would be beneficial.
• Demonstrable experience operating at Lead Engineer, Technical Lead, or equivalent level.

What They Offer

• Hybrid working model with flexibility and a strong focus on outcomes.
• Opportunity to influence AI strategy within a growing and highly visible function.
• Exposure to a broad portfolio of AI transformation initiatives.
• Career progression within an expanding AI and engineering capability.
• Autonomy, ownership, and the opportunity to deliver meaningful business impact at scale.

How to Apply

If you are a Lead AI Engineer with proven experience delivering production-ready GenAI solutions and want to play a key role in shaping the future of AI within a large-scale organisation, please apply today.

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Senior Data Scientist

London – 2x a week

The Role

As a Senior Data Scientist, you will:

• Develop and enhance credit risk and decisioning models using customer, credit bureau, transactional, and internal datasets.
• Analyse portfolio performance across originations, arrears, defaults, recoveries, and customer behaviour.
• Identify opportunities to improve underwriting strategies and customer decisioning.
• Produce actionable insights from large, complex, and sometimes incomplete datasets.
• Build monitoring frameworks and reporting to track model and portfolio performance.
• Support the deployment and optimisation of analytical solutions within production environments.
• Investigate data quality issues and drive improvements across reporting and decisioning processes.
• Work closely with risk, product, engineering, and commercial stakeholders to deliver data-driven solutions.
• Contribute to model governance, validation, and documentation activities.

Skills & Experience

• Strong Python experience across analytics, modelling, and data processing.
• Hands-on experience working within AWS environments, including services such as Lambda, EC2, SageMaker, RDS, and CloudWatch.
• Proven track record developing and validating predictive models, including logistic regression and machine learning techniques.
• Strong understanding of consumer credit risk, affordability assessment, and lending decisioning.
• Excellent analytical and problem-solving skills with a rigorous attention to detail.
• Experience translating complex analysis into clear recommendations for business stakeholders.
• A proactive, ownership-driven mindset and ability to thrive in a fast-paced environment.

What They Offer

• Competitive salary
• Be part of a fast-growing, data-led business.
• Work on high-impact projects with direct business visibility.
• Influence lending decisions and strategic direction.
• Collaborate with experienced professionals across risk, product, and technology.
• Enjoy significant autonomy and ownership in a highly collaborative environment.

How to Apply

Please get in touch to learn more about this role.

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Senior Machine Learning Engineer (AdTech)

Irvine, CA (Hybrid)
Base Salary: Up to $240,000
U.S. Citizen or Green Card Holder Required

About the Opportunity

A rapidly growing technology company in the AdTech space is seeking a Senior Machine Learning Engineer to join a high-impact optimization and data science team. This role is ideal for a hands-on machine learning practitioner who enjoys building production-ready models, working with large-scale datasets, and driving measurable business outcomes through AI and machine learning.

You will own end-to-end machine learning initiatives, from problem definition and feature engineering to model deployment, retraining, and performance optimization. This position offers the opportunity to influence core advertising performance systems and work closely with product, engineering, and analytics teams.

What You’ll Do

• Design, train, evaluate, and deploy machine learning models for optimization and predictive analytics within AdTech environments.
• Analyze large-scale, multi-source datasets to uncover trends, opportunities, and performance drivers.
• Build and maintain scalable data pipelines and feature generation processes.
• Continuously improve model performance through experimentation, retraining, and feature enhancements.
• Partner with product managers and engineering teams to define requirements and deliver measurable business impact.
• Monitor model health, accuracy, and operational performance in production environments.
• Develop high-quality, maintainable code with appropriate testing, documentation, and best practices.
• Communicate technical findings and modeling decisions to both technical and non-technical stakeholders.

Required Qualifications

• Bachelor’s degree in Computer Science, Computer Engineering, Data Science, Mathematics, or a related technical field.
• 5+ years of professional experience in Machine Learning Engineering, Applied Machine Learning, Data Science, or a related field.
• Strong experience developing and training machine learning models using Python and modern ML frameworks/libraries.
• Advanced SQL skills and experience working with large-scale datasets and complex multi-table data environments.
• Experience within AdTech, digital advertising, marketing technology, or advertising optimization platforms is required.
• Strong understanding of feature engineering, model evaluation, and predictive modeling techniques.
• Experience building and supporting production ML systems.
• Excellent analytical, problem-solving, and communication skills.

Preferred Qualifications

• Experience with online feature stores and real-time data systems.
• Background in recommendation systems, bidding optimization, user acquisition, ad monetization, or advertising performance models.
• Experience working in cloud-based ML environments.
• Familiarity with MLOps practices and model lifecycle management.

Work Environment

• Hybrid work arrangement based in Irvine, California.
• Collaborative and fast-paced environment focused on innovation and measurable results.
• Opportunity to work on high-visibility machine learning initiatives that directly impact business performance.

Compensation & Benefits

• Competitive base salary up to $240,000
• Comprehensive benefits package
• Performance-based incentives
• Career growth and advancement opportunities
• Collaborative, technology-driven culture

Please note: Candidates must be authorized to work in the United States without sponsorship. U.S. Citizens and Green Card holders only.

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Principal AI Engineer

San Francisco, CA (Hybrid)
Upwards of $300K + Equity

About the Role

We’re hiring a Principal AI Engineer to join a high-performing engineering team building intelligent software and scalable AI capabilities that power core products across the business.

This is a hands-on technical leadership position for someone who enjoys solving complex engineering challenges, defining technical direction, and delivering production-grade software. You’ll work across the full development lifecycle-from architecture and design through implementation, deployment, and continuous improvement.

You’ll collaborate closely with engineering, product, and leadership teams to build reliable, scalable systems that leverage modern AI technologies to solve real business problems.

What You’ll Do

Technical Leadership

• Lead the architecture, design, and delivery of large-scale engineering initiatives.
• Define technical strategy for complex projects and influence long-term platform direction.
• Drive engineering decisions that prioritize scalability, performance, reliability, and maintainability.
• Mentor engineers and help establish technical best practices across the organization.

AI Platform & Product Development

• Design and build production-ready AI capabilities integrated into customer-facing products.
• Develop scalable backend services and distributed systems that support intelligent application features.
• Build reliable data processing and information management capabilities that improve product functionality.
• Improve the performance, quality, and scalability of AI-powered features through continuous iteration and measurement.
• Partner with cross-functional teams to identify opportunities where AI can enhance products, workflows, and customer experiences.

Engineering Excellence

• Lead projects from concept through production deployment.
• Collaborate across Product, Engineering, and Infrastructure teams to deliver robust technical solutions.
• Contribute to architectural standards, engineering processes, and platform evolution.
• Balance rapid product delivery with long-term technical sustainability.

What We’re Looking For

• Extensive experience building and shipping large-scale software systems.
• Strong background in backend engineering and modern AI or machine learning applications.
• Experience designing scalable cloud-native architectures and distributed systems.
• Familiarity with modern AI technologies, large language models, information retrieval techniques, or intelligent automation.
• Strong programming skills in one or more languages such as Python, Go, Java, or TypeScript.
• Experience working with cloud platforms, APIs, and modern software infrastructure.
• Demonstrated success leading complex technical initiatives from architecture through production.
• Comfortable operating with a high degree of autonomy and solving open-ended technical problems.
• Experience mentoring engineers or providing technical leadership across teams.

Why Join?

You’ll join an engineering-led organization where AI is an integral part of the product strategy rather than a standalone research initiative.

This role offers significant ownership, the opportunity to influence technical direction, and the chance to solve challenging engineering problems while building scalable software used in production every day.

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Title: AI/ML Engineer (All Levels)

Location: Bay Area (Hybrid)

Compensation: Up to $350,000 + Equity

We’re partnered with a well-funded, high-growth Series B startup building the next generation of AI-native data infrastructure for Fortune 500 enterprises. With 3.5x revenue growth in FY’24 and 160% net revenue retention, they’re scaling fast and investing heavily in the AI engineering team that powers their core product.

This is a high-impact role where you’ll own the intelligence layer of the platform, making real architectural decisions around agent design, model selection, and evaluation strategy. Everything you build ships directly to customers; this is not a POC or internal tooling team.

What You’ll Do

• Architect multi-step AI agents end-to-end, covering problem decomposition, context retrieval, error recovery, and output quality
• Own RAG pipelines, vector and graph-based retrieval systems, and knowledge representations that let agents reason accurately over complex enterprise data
• Build the AI layer behind the platform’s core code generation capability, from prompt design and model selection through to fine-tuning and output validation
• Make production AI work at scale, balancing latency, throughput, and observability, and knowing when to optimize a model versus restructure a system
• Think in failure modes and evaluation strategy, not capability demos, and own the improvement loop

Requirements

• 4-6+ years of software engineering experience with meaningful AI/ML depth
• Proven experience building and shipping AI agents or coding agents in production
• Strong Python skills with hands-on experience across RAG, vector databases, and knowledge graphs
• Experience with LLM APIs, prompt engineering, fine-tuning, and structured outputs in production
• Familiarity with AWS and Kubernetes for production AI deployment
• Experience with data platforms such as Databricks, Snowflake, BigQuery, or Spark is a strong bonus
• Scale or Go experience is a bonus

If you’re a builder who thinks in failure modes, owns what you ship, and thrives in environments where last year’s best practice is already obsolete, this is a rare opportunity to have direct leverage on a product used by some of the world’s largest enterprises.

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Senior/Principal Applied AI Engineer
United States, hybrid or remote. Competitive salary plus benefits.
$150,000 to $205,000 + 15% Bonus

This is an opportunity to take ownership of real, production-grade Generative AI solutions in a highly applied environment. You will work on end-to-end AI delivery, from early prototypes through to scalable deployment, with clear visibility of the impact your work has on customers and internal teams.

The Company
They are a well-established organisation operating in a highly regulated, customer-focused industry. Data and AI are central to their strategy, with significant investment in modern platforms and applied AI capabilities. The business values practical innovation, collaboration, and building technology that delivers measurable outcomes at scale.

The Role
You will be a senior, hands-on contributor within an Applied AI team, responsible for turning GenAI concepts into robust solutions. Key responsibilities include:

• Designing, building, and deploying Generative AI applications across client-facing and internal platforms.
• Developing LLM-powered solutions using prompt engineering, vector databases, and Retrieval-Augmented Generation pipelines.
• Building and owning AI chatbots and conversational agents to production standards, including performance, scalability, and compliance.
• Creating AI agents across digital and voice channels to support real-time interactions.
• Delivering proof-of-concept solutions for use cases such as document understanding, summarisation, and knowledge assistants.
• Optimising model usage, prompts, and parameters to balance accuracy, cost, and reliability.
• Collaborating with product, engineering, data, and external partners to align AI solutions with business priorities.

Your Skills and Experience
You will bring strong, practical experience applying Generative AI in commercial settings, including:

• Advanced Python development skills with modern GenAI and machine learning libraries.
• Hands-on experience with large language models, prompt engineering, and LLM evaluation.
• Proven capability building RAG pipelines and working with vector databases.
• Strong SQL skills and experience working with cloud data platforms.
• Experience delivering production-grade conversational AI or chatbot solutions.
• The ability to communicate complex AI concepts clearly to technical and non-technical stakeholders.
• Comfort working in fast-paced, cross-functional environments.

What They Offer

• Competitive salary and comprehensive benefits package.
• The chance to work on high-impact, enterprise-scale AI products.
• Exposure to a wide range of GenAI use cases, including conversational AI and intelligent automation.
• Clear opportunities for technical growth and influence within a growing Data and AI function.
• A collaborative, supportive culture that values continuous improvement and learning.

How to Apply
If you are an Applied AI Engineer looking to build and deploy meaningful Generative AI solutions, apply now to find out more.

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Head of AI & Machine Learning
$250,000 – $325,000 Base + Equity

Remote, United States. Competitive salary plus equity and benefits.

This is a rare opportunity to define and lead an AI strategy within a high-growth technology environment. You will combine hands-on machine learning expertise with strategic leadership, shaping how advanced AI capabilities drive real-world impact across a sophisticated product suite.

The Company
They are a fast-growing technology business operating within a highly data-driven environment, focused on transforming complex workflows through intelligent automation. Their platform supports large-scale data processing and decision-making for enterprise clients, helping to modernise manual, document-heavy processes. With strong backing and ambitious growth plans, they are investing heavily in AI to enhance product capability and maintain a competitive edge. This role sits at the centre of that transformation.

The Role

• Define and deliver the AI and machine learning strategy, aligning with product and business objectives
• Design, build, and deploy advanced NLP and document intelligence models for extracting and processing unstructured data
• Lead the full ML lifecycle including data ingestion, feature engineering, model development, evaluation, and deployment
• Explore and implement modern AI approaches such as large language models, embeddings, and retrieval augmented systems
• Build, mentor, and scale a high-performing machine learning team
• Collaborate with product and engineering teams to identify high-impact use cases and deliver scalable solutions
• Establish best practices for model monitoring, observability, and performance optimisation
• Provide technical and strategic guidance to senior stakeholders on AI opportunities and risks

Your Skills & Experience

• Strong commercial experience building and deploying machine learning models, particularly within NLP or document intelligence
• Expertise in processing unstructured or semi-structured data into structured outputs
• Proficiency in Python and modern machine learning frameworks such as PyTorch or similar
• Experience deploying models in production environments using cloud platforms and containerised workflows
• Proven ability to lead and develop technical teams while remaining hands-on
• Strong understanding of the full machine learning lifecycle and best practices in model evaluation and monitoring
• Ability to communicate complex technical concepts to a range of stakeholders

What They Offer

• Competitive salary and equity package
• Fully remote working with flexible arrangements
• Comprehensive healthcare and retirement benefits
• Generous holiday allowance and parental leave
• Clear progression path with the opportunity to shape and lead an AI function
• High impact role within a growing, innovation-focused business

How to Apply
If you are interested in leading cutting-edge AI initiatives in a high-growth environment, apply now to learn more.

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Staff Machine Learning Scientist

Location: SF Bay Area – Hybrid (3 days/week onsite)

Salary: $200-260k base + Equity

A leading commerce marketplace with 130M+ users and billions of daily events is hiring a Staff Machine Learning Scientist to drive innovation across personalization, feed ranking, computer vision, and GenAI. You’ll work on high-impact ML solutions that directly shape user experience and business outcomes at massive scale.

What You’ll Do

• Lead full-lifecycle ML projects from idea to production across core areas like personalization, trust & safety, marketing optimization, and user engagement.
• Own the ML development process-from data exploration and feature engineering to model training, deployment, and post-launch optimization.
• Collaborate cross-functionally with ML engineers, PMs, and business stakeholders to identify and prioritize high-leverage initiatives.
• Experiment with emerging AI techniques, including GenAI, computer vision, and LLMs, to push the boundaries of what’s possible on the platform.
• Build scalable, production-ready ML systems that enhance key metrics like retention, engagement, and conversion.

What You Bring

• 7-10 years of experience building, deploying, and maintaining ML models at scale.
• Deep expertise in Python, SQL, Spark (PySpark or Scala) and frameworks like PyTorch or TensorFlow.
• Proven track record in consumer tech or large-scale marketplaces companies.
• Hands-on experience with CNNs, Transformers, Vision Transformers, and personalization algorithms.
• Background in user behavior modeling, search relevance, or real-time data systems.
• Strong foundation in experimentation (A/B testing), statistics, and applied ML.
• Exceptional communication skills and the ability to translate technical insights into business value.

• Experience with LLMs, RAG (Retrieval-Augmented Generation), or PEFT (Parameter-Efficient Fine-Tuning) techniques.

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Staff 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

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