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Director of Applied AI

New York, New York | 3 days/week on-site

$275,000-300,000 base salary + bonus + benefits

Harnham is partnered with a fast-growing, private equity firm that has billion-dollar portfolio companies. They are looking for their first Director of AI to build machine learning models and help support efforts in advising clients on strategy transformation. You will leverage NLP and machine learning skills, working directly with internal and external clients to advance their business processes. This is a hands-on position, which will grow out a team over the next year.

THE ROLE

• Collaborate with the engineering team to find solutions for clients through ML-based initiatives.
• Work on initiatives across investment risk, compliance and internal company AI automation
• Build out machine learning/LLM products in first several months with the opportunity to build out an AI team around you.
• Support clients in developing and monitoring KPIs through NLP/LLM and ML solutions that align with project demands.
• Create solutions for clients to remain competitive in their respective industries through the use of NLP/LLM to leverage new customer opportunities.

YOUR SKILLS AND EXPERIENCE

A successful Director of Applied AI will likely have the following skills and experience:

• 7+ commercial years of experience
• College degree in a quantitative, STEM field
• Track record of communicating with and managing non-technical stakeholders
• Experience leading projects end-to-end and mentoring junior team members (direct reports are ideal, but not required)
• History of building machine learning and NLP models: text summarization, classification, entity extraction, etc.
• Prior management consulting experience preferred
• Expert in Python and experience with common NLP packages: spaCy, NLTK, gensim, BERT, etc.
• Exposure to visualization tools
• Proficiency in Azure cloud platform preferred, but not required

THE BENEFITS

A competitive base salary of $275,000-300,000 + bonus + benefits

HOW TO APPLY

Please register your interest by sending your résumé to Tim Jonas via the Apply link on this page.

KEYWORDS

Data Science | Machine Learning | Finance | LLM | LLMs | Large Language Models | Private Equity | Python | Consulting | Management Consulting | NLP | Natural Language Processing | Deep Learning | Statistics | Project Leadership | Project Management | Stakeholder Management | Team Leadership

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REVENUE ANALYTICS MANAGER

$130k-$150k BASE + BONUS

REMOTE ROLE – U.S. BASED

EXCLUDES: WA, DC, MA, IL, VT, ME, RI, NM, PR, OH, AK, MT, SD, WV, WY, LA

Are you passionate about using data to uncover what drives revenue performance? This is a high-impact analytics opportunity where you’ll work across sales, finance, and marketing teams to improve forecasting, conversion, and overall growth efficiency.

THE COMPANY

This established consumer organization operates at national scale, generating over half a billion dollars in annual revenue. With over a decade of steady growth, they’re now expanding their Revenue Analytics function to strengthen data-driven decision-making across all go-to-market teams. The company combines the stability of a proven business model with the energy of an organization investing heavily in digital transformation and analytics innovation.

THE ROLE

As a Revenue Analytics Manager, you’ll play a key role in shaping how the company measures, forecasts, and optimizes revenue. You’ll collaborate closely with finance, sales, and marketing partners to uncover insights that directly influence revenue outcomes and customer value.

Key responsibilities include:

• Building SQL-based dashboards and automated reporting pipelines for forecasting and performance tracking
• Designing and analyzing A/B tests and experiments to optimize lead conversion and retention
• Analyzing key metrics like churn, LTV, ARPU, and unit economics to identify growth opportunities
• Translating complex data into actionable business insights for senior stakeholders
• Partnering with cross-functional teams to improve ROI, pricing, and engagement strategies
• Developing BI visualizations (Sigma, Tableau, or Power BI) to monitor performance across acquisition and sales funnels

YOUR SKILLS AND EXPERIENCE

The ideal candidate will have:

• 6+ years of analytics experience focused on revenue, forecasting, or optimization
• Advanced SQL and BI tool proficiency (Sigma, Tableau, or Power BI)
• Experience with cloud data warehouses such as Snowflake
• Strong business acumen and the ability to connect data insights to commercial impact
• Comfort operating in a fast-paced, evolving environment
• Background in financial services, subscription-based, or consumer-focused businesses is a plus

THE BENEFITS

• $130k-$150k base salary + annual bonus
• Fully remote within the U.S. (some state restrictions apply)
• Opportunity to join a growing analytics organization influencing high-level revenue strategy

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Director of AI – Higher Education

Remote – US based

About the Company

Join a global leader in education that is undergoing a major transformation – evolving from a traditional content publisher to a pioneer in digital learning and AI-driven education.

The company’s mission is to unlock the potential of every learner through personalized, data-informed learning experiences. With deep expertise in core curriculum and a powerful model serving instructors, institutions, and students, this organization is leveraging data and generative AI to redefine how students learn.

Their digital platforms already reach millions of learners worldwide, offering AI-powered study tools, reading companions, and adaptive learning solutions that drive measurable improvements in student engagement and performance.

Now is the ideal time to join as they enter a once-in-a-generation transformation – applying large language models and machine learning to build the next generation of intelligent education products.

The Opportunity

The Director of AI (Higher Education) will lead the generative AI strategy and application delivery for the organization’s Higher Education division. This is a high-impact leadership role that combines visionary strategy with hands-on technical oversight.

You’ll partner closely with Product, Data Science, and Engineering teams to design and deploy production-grade AI applications that enhance learning outcomes and deliver personalized educational experiences at scale.

Key Responsibilities

• Define and execute the generative AI strategy for Higher Education.

• Lead cross-functional collaboration with Product and Data teams to assess feasibility, prioritize projects, and deliver impactful AI solutions.

• Manage and mentor a growing team of data scientists and machine learning engineers.

• Oversee development of key AI applications, including personalized learning assistants, content summarization, and adaptive recommendation systems.

• Uphold ethical and responsible AI practices – focusing on bias mitigation, accuracy, and data privacy.

• Drive measurable results: accelerate AI project throughput, deliver scalable models, and strengthen internal AI capabilities.

About You

• Advanced degree (PhD or equivalent experience) in Applied Mathematics, Physics, Statistics, or related quantitative field.

• 7-10+ years of industry experience progressing from hands-on data science to leadership.

• Proven track record in shipping generative AI applications to production.

• Strong collaborator who can balance technical vision with pragmatic delivery.

• Experienced leading both people and projects in fast-moving, cross-functional environments.

• Passion for education and using AI to make a social impact

Technical Expertise:

• LLM application development (OpenAI API, LangChain, RAG, etc.)

• Python and modern ML frameworks (PyTorch, TensorFlow)

• MLOps and model orchestration best practices

• Data architecture, evaluation frameworks, and scalable deployment

Why Join

This is a rare opportunity to shape the future of digital learning at a global scale – applying cutting-edge AI to solve meaningful challenges in education. You’ll be joining a passionate, mission-driven team with the autonomy, resources, and data infrastructure to make a lasting impact.

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Lead Backend Engineer – Innovation Labs

$150-200,000 plus bonus and equity

Location: Hybrid (2 days onsite) – Plano, TX | Twin Cities, MN | New York, NY

Employment Type: Full-time

Benefits: Health, Dental, Vision, Vacation Leave, Parental Leave

About Us:

We are a legal tech company driving innovation at the intersection of law and technology. Within our Innovation Labs, we are building cutting-edge AI-powered solutions to transform how legal professionals work, leveraging enterprise integrations, scalable backend systems, and modern AI platforms.

The Role:

We are seeking a Lead Backend Engineer to join our Innovation Labs team. This is a player-coach role: you’ll be hands-on in backend engineering while providing technical leadership to a team of ~5 engineers. You will play a critical role in designing and developing enterprise integrations, building our AI platform, and orchestrating real-time interactions powered by large language models (LLMs).

What You’ll Do

• Lead and mentor a team of backend engineers, driving technical excellence and growth.
• Design, build, and optimize backend systems using Python, FastAPI, AWS, and PostgreSQL/pgvector.
• Architect and develop enterprise-grade integrations and scalable APIs for real-time interactions.
• Work on AI platform development, orchestration, and deployment leveraging LLMs (Anthropic, OpenAI, etc.).
• Drive 0→1 product development, turning AI concepts into production-ready enterprise solutions.
• Collaborate closely with product, data, and innovation teams to align engineering with business outcomes.
• Establish and maintain best practices for backend development, system design, and deployment.

What We’re Looking For:

• 5+ years of commercial experience in backend software engineering (excluding educational experience).
• Proven experience as a technical leader or manager in a player-coach capacity.
• Strong hands-on expertise with:
• Python & FastAPI
• PostgreSQL & pgvector (or other vector databases)
• AWS cloud services (deployment, orchestration, scaling)
• LLMs (Anthropic, OpenAI, etc.)
• Experience with API design and real-time system interactions.
• Strong track record in 0→1 AI product development, ideally in a startup or innovation-driven environment.
• Excellent communication skills and ability to collaborate across technical and non-technical teams.

Why Join Us:

• Opportunity to shape the future of AI-driven legal technology in a high-impact, innovation-focused environment.
• Lead and grow a talented engineering team while staying hands-on with cutting-edge backend and AI technologies.
• Work in a hybrid setup with offices in Plano, TX | Twin Cities, MN | NYC.
• Competitive compensation package with full benefits (health, dental, vision, vacation leave, parental leave).

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Machine Learning Engineer II (RECOMMENDATION SYSTEMS & PERSONALIZATION)

SAN FRANCISCO BAY AREA – HYBRID (3 DAYS/WEEK IN-OFFICE)

$150,000 – $200,000 BASE + EQUITY + BENEFITS

About the Company

This is a major consumer-facing tech company that runs a large online platform where millions of people shop, share, and connect. With tons of user data flowing in daily, the company is focused on using machine learning to improve product discovery, make the user experience more personalized, and build smarter tools for their marketplace. They’re growing fast and investing heavily in AI to power their next chapter.

About the Role

We’re looking for a senior machine learning expert to work on projects that directly shape what users see and interact with. In this role, you’ll help design and deploy the models behind recommendations, personalized feeds, search relevance, and pricing. You’ll also guide experiments to improve business outcomes and collaborate closely with engineers and product leaders to bring your ideas to life.

This is a hands-on technical role that’s perfect for someone who enjoys solving real-world problems with advanced modeling and working at scale.

What You’ll Do

• Design and deploy machine learning models for personalization, search, and pricing.
• Work across the full ML lifecycle: from exploring data and building models to deploying and improving them.
• Partner with cross-functional teams to integrate models into the product.
• Stay up to date on emerging ML tools and techniques-and help bring them into the business.

What We’re Looking For

• 2+ years of hands-on experience building machine learning models in production.
• Deep experience with recommendation systems, personalization, or marketplace optimization.
• Background in deep learning (e.g., CNNs, Transformers, Vision Transformers).
• Solid coding skills in Python, SQL, and Spark (PySpark or Scala).
• Familiar with frameworks like PyTorch or TensorFlow.
• Clear communicator-able to explain complex topics to both technical and non-technical teammates.

Nice to Have

• Experience in large-scale consumer tech or marketplaces.
• Familiarity with large language models (LLMs), RAG, or fine-tuning techniques.
• Background in computer vision or user behavior modeling.
• Experience mentoring or leading projects.

Why It’s a Great Opportunity

You’ll work on products that touch millions of users every day and have a real business impact. The team values technical excellence and gives you the space to lead projects end-to-end-from ideas to implementation. You’ll also get to explore the latest in AI and collaborate with a supportive, ambitious group of people. If you like ownership, innovation, and using machine learning to drive results, this is the role for you.

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Job Title: Technical Product Manager – API Platform (Fintech)

Location: San Francisco, CA (Hybrid, 3 days/week)

$180,000-200,000 plus equity

About the Role

We are seeking a Technical Product Manager to own the strategy, roadmap, and execution for APIs that power our financial simulation and scoring engine. This role bridges product, engineering, and data science, delivering robust developer-facing APIs and a first-class integration experience. You will drive how external partners and internal teams access our simulation logic, ensuring scalability, reliability, and usability.

Key Responsibilities

• Own the API product lifecycle: roadmap, requirements, and execution.
• Define RESTful API endpoints supporting simulation capabilities and scoring logic.
• Establish and enforce standards for versioning, documentation, authentication, and error handling.
• Partner with data science and engineering to operationalize scoring models via APIs.
• Drive developer experience: author OpenAPI/Swagger docs, SDKs, sandbox environments, and onboarding flows.
• Collaborate with external partners during API integration; provide product and technical guidance.
• Define API usage metrics, SLAs, rate limits, and monitor adoption and performance.
• Translate complex workflows into user stories, specs, and prioritized backlog items.
• Lead sprint planning and balance technical debt with enhancements and fixes.
• Measure API health and developer feedback to inform iterations and roadmap priorities.

Qualifications

• 4+ years in product management, including 2+ years owning APIs as products.
• Proven experience in fintech and/or startups, with comfort operating in fast-paced environments.
• Strong grasp of API design (REST, JSON, OAuth, rate limiting, pagination, etc.).
• Hands-on knowledge of modern tech stacks and cloud platforms (Python, AWS, etc.).
• Experience with enterprise-grade API management & documentation tools (Postman, Swagger, Apigee).
• Background working with backend systems, credit data pipelines, or simulation engines.
• Strong communication skills to interface with engineering teams and external partners.

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Staff Machine Learning Engineer

Remote- USA

$180,000-225,000+ Equity

We are seeking a Staff Machine Learning Engineer to help design, build, and deploy advanced AI systems for financial technology applications. In this role, you will work end-to-end on machine learning projects , from research and experimentation to production deployment, with a focus on creating secure, scalable, and high-performing generative AI solutions.

This is a hands-on role where you’ll contribute directly to building models, pipelines, and workflows that power intelligent, personalized financial experiences.

What You’ll Do:

• Develop and fine-tune large language models (open-source and proprietary) for tasks such as reasoning, summarization, and multi-turn dialogue.
• Build advanced Retrieval Augmented Generation (RAG) pipelines, including query rewriting, embedding fine-tuning, hybrid search, reranking, and knowledge graph integration.
• Create AI-driven agentic workflows that automate financial tasks, enable co-pilot systems, and support human-in-the-loop collaboration.
• Apply reinforcement learning methods (e.g., PPO, DPO, GRPO) to optimize and improve model performance.
• Implement evaluation frameworks and define metrics for model quality, efficiency, and reliability.
• Deploy models into production environments, ensuring scalability, low latency, and robustness.
• Collaborate with product managers and engineers to integrate ML components into real-world fintech applications.

What You’ll Bring:

• 6+ years of experience in applied ML/AI engineering (post BS/MS).
• Experience delivering generative AI products with LLMs at their core.
• Hands-on expertise in LLM fine-tuning (e.g., LoRA), inference frameworks (e.g., vLLM), and RAG architectures.
• Strong foundation in reinforcement learning and experience applying RLHF or similar methods.
• Proficiency in Python and ML frameworks such as PyTorch or TensorFlow.
• Familiarity with modern data and ML infrastructure, including cloud-based deployment.
• Ability to adapt quickly in dynamic environments and deliver high-quality solutions.

Why This Role:

• Work on high-impact projects that shape the future of financial services through AI.
• Contribute to cutting-edge ML applications in a fast-paced, innovative fintech environment.
• Collaborate with experienced engineers and data scientists on applied generative AI.
• Be part of a culture that values experimentation, technical depth, and continuous growth

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Full-Stack Software Engineer- Product

Onsite- San Francisco, CA

$150-220,000

We’re looking for a Full-Stack Software Engineer to help build and scale a next-generation platform transforming the recruiting industry. This is a hands-on engineering role where you’ll own the design and delivery of new features, develop customer-facing products, and contribute to the technical foundations of a rapidly growing startup.

You’ll work closely with both internal teams and end users to ship quickly, iterate often, and create high-quality tools that improve how companies hire and how recruiters work. This is a unique opportunity to have a direct impact in a fast-moving environment, building products used by thousands of professionals.

What You’ll Do:

• Design, build, and ship product features used by recruiters and hiring teams.
• Collaborate directly with users to inform product decisions and iterate based on feedback.
• Develop internal tools such as AI-powered assistants, workflow automation, and browser extensions.
• Build integrations with third-party platforms to expand product functionality.
• Contribute to growth-related systems, including onboarding, billing, SEO, and user activation.
• Explore and test product opportunities in new verticals such as finance, legal, and healthcare.

What We’re Looking For:

• 3-7 years of experience as a full-stack engineer in fast-paced environments.
• Proficiency across the stack, with experience in backend (Node.js, Python), frontend (React, TypeScript), and databases (SQL/NoSQL).
• Strong product mindset with the ability to translate user needs into thoughtful features.
• Attention to detail with a focus on building polished, user-friendly interfaces.
• Excellent communication and collaboration skills.
• Proven track record of ownership and execution in startups or entrepreneurial settings.

Nice to Have:

• Experience with recruiting platforms, HR tech, or workflow tools.
• Prior experience at early-stage startups or launching self-directed projects.
• Interest in building AI-driven tools and scalable systems.

Why Join:

• Be part of a fast-growing startup tackling one of the most complex challenges in technology: scalable hiring.
• Work on impactful products that directly support recruiters, hiring teams, and job seekers.
• Collaborate in a product-focused culture where engineers are closely involved in shaping customer outcomes.
• Opportunity to grow with the company and take on increasing responsibility as the product and team scale

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The BI Manager will lead the development of KPI dashboards, self-service reporting tools, and data storytelling initiatives. This is initially a hands-on individual contributor (IC) role but is expected to grow into a leadership position as the BI function expands.

Key Responsibilities

• Design and maintain dashboards for KPI tracking (Power BI preferred; Tableau or other tools acceptable).
• Define and track core business KPIs to support leadership decisions.
• Champion self-service reporting across multiple business functions.
• Train and enable stakeholders to leverage BI tools effectively.
• Communicate insights clearly through data storytelling.
• Establish and own the BI reporting capability within the organization

To Apply for this Job Click Here

To Apply for this Job Click Here

Full Stack Software Engineer (Python, React, AI, 3D)

Hybrid London (1-2 days per week)

Up to £120,000 + Equity + Benefits

Are you excited by the idea of building the future of 3D and spatial intelligence? We’re working with an innovative AI company developing a frontier 3D foundation model that’s redefining how industries – from robotics and AR/VR to gaming and film – generate and interact with 3D content.

They’re now looking for a Full Stack Software Engineer to help build their first public-facing product, creating interactive applications powered by cutting-edge AI models. This is a rare opportunity to work at the intersection of AI, computer vision, and 3D computing, in a world-class technical team.

Why this role?

• Shape the next generation of AI-driven 3D applications and spatial experiences.

• Work closely with researchers and engineers pushing the limits of spatial AI.

• Build the company’s first large-scale public product – with full ownership across the stack.

• Hybrid flexibility: 1-2 days per week in the London office, balance the rest remotely.

• Salary up to £120,000, depending on experience.

‍ What you’ll be doing:

• Designing, building, and deploying interactive 3D web applications powered by Spatial AI models.

• Managing and optimising the inference stack for running complex AI models (in-house or via cloud providers).

• Developing internal tools to monitor, evaluate, and improve ML model performance.

• Working across the full stack – from front-end experiences to backend APIs and cloud deployment.

• Implementing best practices for performance, scalability, and security.

What we’re looking for:

• 2+ years’ experience in full-stack application development and deployment.

• Strong skills in both frontend frameworks (React, Next.js, or Vue) and backend technologies (Node.js, Python, Django, or FastAPI).

• Experience deploying applications in cloud environments using containers and orchestration tools.

• Proficiency in the Python ecosystem for backend development and AI integration.

• Strong database knowledge (SQL and NoSQL) and API design/integration.

• Familiarity with CI/CD pipelines and modern DevOps workflows.

• Understanding of authentication, authorization, and web security best practices.

✨ Nice-to-haves:

• Experience deploying ML models using AWS Sagemaker, Hugging Face, or Replicate.

• Familiarity with WebGL, THREE.js, or other 3D graphics frameworks.

• Interest in AI, generative models, and spatial computing.

To Apply for this Job Click Here

To Apply for this Job Click Here

ML & Cloud Infrastructure Engineer – Pioneering AI in 3D

London (1-2 Days per week in Office)

Up to £200,000 (Potentially more) + Equity

I’m working with a cutting-edge startup that’s building a frontier 3D foundation model at the intersection of AI, computer vision, and spatial computing. Their mission is bold: to transform industries like robotics, AR/VR, gaming, and film by redefining how 3D content is generated and experienced.

They’re now looking for a ML & Cloud Infrastructure Engineer who can design, build, and maintain the backbone that powers these ambitious workloads. This is an opportunity to be part of a deep-tech team at the forefront of the AI revolution in 3D.

Why this role?

• Impact: You’ll create the infrastructure that makes advanced ML and 3D workloads possible at scale.

• Ownership: Full responsibility for cloud deployment, orchestration, and distributed ML pipelines.

• Innovation: Join a team of bold thinkers working on first-of-its-kind technology.

• Growth: Be part of a fast-moving startup where your work directly drives the product vision.

What you’ll be doing:

• Designing and deploying scalable, high-performance cloud infrastructure for ML workloads.

• Managing cloud platforms (AWS, GCP, Azure) and setting up ML nodes for both local development and distributed training.

• Optimizing storage systems to handle big data for ML.

• Building and scaling containerized applications with Docker, Kubernetes, Terraform, etc.

• Responding to production incidents and driving long-term solutions.

• Working closely with ML engineers to orchestrate smooth development and production workflows.

What they’re looking for:

• 3+ years’ experience in a cloud-related role (ML-related is a big plus).

• Strong scripting ability (Bash, Python, PowerShell, etc.) for automation.

• Hands-on experience with containerization & orchestration (Docker, Kubernetes, Terraform).

• Skilled in cloud platforms (AWS, GCP, or Azure).

Bonus points for:

• Familiarity with ML frameworks (PyTorch, Jupyter).

• Knowledge of cloud monitoring tools (Prometheus, Grafana).

• Experience with cloud-based databases (RDS, Aurora, Redshift, Spanner, etc.).

• Exposure to CI/CD pipelines (e.g., CircleCI).

What’s on offer:

• The chance to shape the future of 3D AI technology.

• A collaborative, mission-driven team working at the frontier of innovation.

• A startup culture that values bold ideas, creativity, and excellence.

If you’re excited by the idea of building the infrastructure behind next-generation AI for 3D, and want to join a team of visionary engineers and researchers, this could be the perfect fit.

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