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Head of Technology Operations
Location: New York, NY (Hybrid – 3 days/week onsite)
Compensation: $250,000 – $280,000

A high-impact, mission-driven nonprofit organization is seeking a Head of Technology Operations to lead and scale its IT function across a multi-site network serving thousands of students and staff. The organization is pioneering educational equity in New York, with a special focus on supporting children from low-income backgrounds, English language learners, and students with disabilities.

This is a senior leadership role that requires both strategic vision and hands-on execution. You’ll oversee the end-to-end IT operations environment, working closely with executive leadership to transition from a reactive support model to a proactive, service-oriented technology function that empowers educators and students alike.

Key Responsibilities

• Oversee Help Desk, Systems Administration, Network Engineering, and Device Management across both central and school-based operations
• Develop and execute a strategy to shift the tech function from reactive troubleshooting to proactive support and partnership
• Serve as a visible technology leader, working closely with executive leadership and internal stakeholders to align IT operations with organizational priorities
• Design and implement processes that increase the speed, reliability, and quality of support services for both hardware and software
• Manage relationships with third-party vendors and service providers to ensure effective and efficient service delivery
• Establish KPIs, reporting structures, and dashboards to continuously monitor and improve technology service levels

Qualifications

• 5-10+ years of progressive experience in IT operations leadership
• Proven success managing and scaling IT teams in dynamic, multi-site environments
• Deep experience with Help Desk operations, network infrastructure, systems administration, and device lifecycle management
• Strong communication skills, with the ability to translate technical concepts to non-technical audiences and influence senior stakeholders
• Demonstrated ability to lead and mentor teams, foster accountability, and build a service-oriented culture
• A track record of implementing strategic improvements in IT support delivery and infrastructure

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Senior Staff Machine Learning Engineer

Remote

Up to $350,000 + Equity

Company:

A fast-growing, mission-driven tech company in the behavioral modeling and personalization space is seeking a Senior Staff/Technical Lead Machine Learning Engineer to join and lead a team. Their platform leverages one of the largest consented behavioral datasets in the US to deliver private-by-design AI solutions for top global brands and platforms.

The team is made up of seasoned ML professionals from Top Companies, and they are partnered with major cloud providers to bring novel AI products to market. This role will be central to building and scaling ML-powered products, with a focus on ad optimization and recommendation systems.

Role:

• Design, build, and deploy end-to-end machine learning models focused on ad optimization, personalization use cases and recommendation systems.
• Develop ML pipelines and production systems that leverage rich behavioral signals to drive user value and business ROI.
• Partner with product and R&D teams to ideate and execute on high-impact, ML-first product strategies.
• Lead experimentation and model evaluation in a fast-paced, data-rich environment.
• Contribute to the development of scalable infrastructure using tools like Airflow, Spark, and CI/CD platforms.
• Work cross-functionally to bring zero-to-one ML products to market and continuously refine them post-launch.
• Stay on the pulse of emerging ML techniques in RecSys, behavioral modeling, and model optimization.

Requirements:

• MSc or PhD in a STEM field.
• Proven experience building and deploying machine learning systems in a commercial setting.
• Strong background in AdTech or recommender systems (RecSys) – with a clear understanding of personalization, targeting, or user intent modeling.
• Hands-on experience with orchestration tools (Airflow, Bazel), data infrastructure (Spark, SQL, Scala, or Python).
• DevOps knowledge including CI/CD best practices and production model monitoring.
• Familiarity with cloud platforms (AWS, Databricks) and ML tooling (MLFlow, TensorFlow, Kubernetes).
• Strong collaboration and communication skills, with a product-oriented mindset.
• A bias toward action and a “roll up your sleeves” attitude-ideal for a dynamic startup environment.

Salary and Benefits:

• $300,000 – $350,000 base salary
• Meaningful Equity & Financial Upside
• Fully Remote (with hybrid options in Boston, SF Bay Area, Seattle, NYC)

How to Apply:

Please register your interest by submitting your CV via the Apply link on this page.

Desired Skills and Experience:

Machine Learning Engineering, AdTech, Personalization, Recommender Systems, MLOps, CI/CD, Airflow, Spark, Python, AWS

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Marketing Data Science Lead

Remote

$200-210k

One of the world’s leading pharmaceutical manufacturers, dedicated to delivering life-changing medicines and therapies across global markets. As they advance their digital and data transformation, they are investing in cutting-edge analytics to drive smarter, more personalized customer engagement.

The Role

Our client is looking for a skilled and strategically minded Omnichannel Lead in an individual contributor role to join either their Oncology or Women’s Health department which will help grow out the commercial analytics function,

This is a hands-on modeling role with strong cross-functional exposure, where you will play a pivotal role in building & developing Marketing Mix Modeling (MMM).

• Develop and maintain robust Marketing Mix Models (MMM) in Python to inform investment decisions across oncology and women’s health portfolios.
• Build scalable Next Best Action / Next Best Engagement models to support HCP engagement strategies and optimize omnichannel performance.
• Partner with media agencies, brand teams, and digital marketers to integrate and utilize complex digital media data in modeling efforts.
• Leverage personalization techniques and recommender models to tailor messaging, timing, and channels to individual HCP preferences and behaviors.
• Translate complex modeling outputs into actionable commercial strategies through clear and compelling storytelling.
• Serve as a thought partner to stakeholders across Commercial, Medical Affairs, and Insights-driving model adoption and continuous refinement.
• Stay up to date on therapeutic trends, data sources, and digital innovation in oncology and women’s health.

Your Skills & Experience

• Strong Python programming skills with a track record of developing and deploying statistical models in a production setting.
• Deep expertise in Marketing Mix Modeling-must have built MMMs independently with proven business impact.
• Experience working with digital marketing data, media mix inputs, CRM systems, and 3rd-party healthcare datasets.
• Familiarity with personalization models or recommender systems, ideally within a healthcare or life sciences context.
• Strong communication and stakeholder management skills-able to influence and collaborate across commercial and technical teams.

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Omnichannel Lead

Remote

$210-220k

One of the world’s leading pharmaceutical manufacturers, dedicated to delivering life-changing medicines and therapies across global markets. As they advance their digital and data transformation, they are investing in cutting-edge analytics to drive smarter, more personalized customer engagement.

The Role

Our client is looking for a skilled and strategically minded Omnichannel Lead in an individual contributor role to join either their Oncology or Women’s Health department which will help grow out the commercial analytics function,

This is a hands-on modeling role with strong cross-functional exposure, where you will play a pivotal role in building & developing Marketing Mix Modeling (MMM).

• Develop and maintain robust Marketing Mix Models (MMM) in Python to inform investment decisions across oncology and women’s health portfolios.
• Build scalable Next Best Action / Next Best Engagement models to support HCP engagement strategies and optimize omnichannel performance.
• Partner with media agencies, brand teams, and digital marketers to integrate and utilize complex digital media data in modeling efforts.
• Leverage personalization techniques and recommender models to tailor messaging, timing, and channels to individual HCP preferences and behaviors.
• Translate complex modeling outputs into actionable commercial strategies through clear and compelling storytelling.
• Serve as a thought partner to stakeholders across Commercial, Medical Affairs, and Insights-driving model adoption and continuous refinement.
• Stay up to date on therapeutic trends, data sources, and digital innovation in oncology and women’s health.

Your Skills & Experience

• Strong Python programming skills with a track record of developing and deploying statistical models in a production setting.
• Deep expertise in Marketing Mix Modeling-must have built MMMs independently with proven business impact.
• Experience working with digital marketing data, media mix inputs, CRM systems, and 3rd-party healthcare datasets.
• Familiarity with personalization models or recommender systems, ideally within a healthcare or life sciences context.
• Strong communication and stakeholder management skills-able to influence and collaborate across commercial and technical teams.

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Head of Technology Operations

Location: Hybrid – New York City

Salary: $230,000 – $250,000 + Bonus Eligible

Harnham is seeking an experienced and visionary Head of Technology Operations for an innovative, high-performing organization in the education sector. This role offers a unique opportunity to shape the technology operations strategy and drive proactive, high-impact support across a dynamic, mission-driven enterprise.

Key Responsibilities

• Develop and execute a cohesive vision and strategic roadmap for Technology Operations.
• Build and maintain vendor relationships for tools and services within the technology support ecosystem.
• Define and track key performance indicators (KPIs) to measure operational success.
• Establish and improve processes that enhance service delivery and efficiency for both hardware and software solutions.
• Partner with cross-functional teams, including data and analytics, information security, and project management, to ensure seamless technology integration and support.
• Foster strong user relationships across all departments, providing responsive, proactive, and reliable technology support.

Qualifications

• Bachelor’s degree or equivalent professional experience.
• 5-10 years of experience in senior technology management roles.
• Proven leadership in managing technology help desks, device management, and systems administration.
• Strong leadership and team management skills, with a focus on customer service excellence.
• Ability to work under pressure and adapt quickly to evolving priorities.

Preferred Skills and Traits

• Exceptional communication skills with the ability to translate technical concepts for non-technical audiences.
• Strong collaboration skills and experience driving continuous improvement initiatives.
• Proactive, transparent, and passionate about delivering high-quality solutions in a fast-paced environment.

Benefits

This role offers competitive compensation, bonus eligibility, and a comprehensive benefits package. You’ll have the chance to lead impactful projects and innovate technology operations within a growing organization.

If you are ready to take your career to the next level, apply now through Harnham for a confidential discussion about this exciting opportunity.

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Director of Applied Science – NLP

Location: Fully Remote
Compensation: $250,000 – $275,000 base salary + bonus + equity

About the Company

We’re partnering with a forward-thinking financial services company operating in the legal space, dedicated to innovation through AI. This organization is transforming how AI serves financial and legal professionals-making processes smarter, faster, and more accessible. As they scale their product offerings, they’re seeking experienced NLP researchers to help drive novel developments. This is a high-impact opportunity to shape the future of AI in a complex, regulated industry.

About the Role

As a Director of Applied Science – NLP, you’ll be central to designing and building advanced machine learning and large language models (LLMs) specifically for the legal and financial services sectors. You’ll have the opportunity to partner with executive leadership and work across teams to bring cutting-edge AI research into production.

Key Responsibilities:

• Innovative Development: Create original machine learning and LLM solutions tailored to legal contexts and open-source ecosystems.

• Strategic Collaboration: Partner with executive leadership to define and execute technical vision and roadmap.

• Full Lifecycle Ownership: Lead projects from initial research through to deployment, including building platforms from the ground up.

• Team Management: Act as a hands-on people manager for a team of 3-5 Applied Scientists

• Model Optimization: Enhance model performance through prompt engineering, inference tuning, and iterative improvements.

• Knowledge Sharing: Contribute to internal learning and external thought leadership through presentations, mentorship, and community engagement.

• Research & Publications: Develop novel applications with the potential to lead to patents and high-impact research publications.

What We’re Looking For

We’re looking for a skilled, collaborative applied scientist with:

• 7+ years of hands-on experience in NLP, including production-level model development; previous 2 years in a people management position.

• A strong track record in building scalable NLP platforms and working with large datasets.

• Deep proficiency in Python and frameworks such as TensorFlow, PyTorch, NLTK, and spaCy.

• Experience translating research into real-world applications, from idea to deployment.

• Knowledge of state-of-the-art ML techniques related to NLP and LLMs.

• Comfort working in dynamic environments and collaborating across diverse technical and non-technical teams.

• A PhD in a relevant field such as Computational Linguistics, Computer Science, or Statistics is required.

What You’ll Get

• Competitive Salary: $250,000-$275,000 base salary + bonus + equity

• Intellectual Ownership: Opportunity to lead and publish novel research

• Comprehensive Benefits: Health coverage, retirement plans, and more

How to Apply

Please submit your resume to Tim Jonas using the “Apply” link on this page. We look forward to learning more about how your experience and passion can help shape the future of AI in legal and financial services.

Keywords:
Machine Learning | NLP | NLG | NLU | LLM | Large Language Models | AI | Generative AI | Python | TensorFlow | PyTorch | Open-Source | Legal Tech | Financial Services | Research | AI Strategy

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Analytics Manager

Finance

Remote (EST Hours)

$135,000 – $150,000 + Bonus

Are you a data-driven leader with a passion for analytics and strategic problem-solving? We’re looking for an Analytics Manager to join a dynamic team in the finance industry. This remote-first role (EST hours) is perfect for someone who thrives in a fast-paced environment and is eager to enhance data transparency, streamline reporting, and shape business strategy.

What You’ll Do:

• Drive reporting, analytics, and key business performance metrics to improve decision-making.
• Collaborate with Finance, Product, and Operations teams to refine business processes.
• Develop data-driven strategies and roadmaps to support company growth.
• Analyze large datasets to uncover insights that drive operational efficiencies.
• Build and manage stakeholder relationships, ensuring cross-functional alignment.

What We’re Looking For:

• Extensive experience in business intelligence, analytics, or related fields.
• Proven leadership skills with the ability to influence strategic decisions.
• Strong proficiency in SQL, Python or R, and visualization tools like Tableau or Power BI.
• Experience with Salesforce Analytics, AWS, Snowflake, or Five9 is a plus.
• A background in financial services is preferred.

Why Join?

• Competitive salary ($135,000 – $155,000) + discretionary bonus.
• Fully remote role with EST working hours.
• Opportunity to make a meaningful impact in a growing organization.

If you’re ready to take the next step in your analytics career, apply now or reach out to Sam Willman for more details!

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SENIOR MACHINE LEARNING ENGINEER
REMOTE (OR HYBRID IN NYC IF PREFERRED)
$200K BASE + EQUITY + PERFORMANCE BONUS

THE COMPANY
My client is a high-growth startup transforming digital advertising-replacing black-box tools with transparent, customizable AI systems. Their platform gives brands full control of their data while using LLMs to unlock deep insights, automate decisions, and optimize campaigns across multiple platforms in real time. Backed by major partners and expanding globally, they’re scaling a lean tech team with a mandate to move quickly and build things that actually work.

THE ROLE
This is a senior-level hire focused on developing, optimizing, and deploying machine learning solutions-especially around LLMs and foundational models. You’ll work with large-scale systems, refine embedding pipelines, and help cut model runtime significantly. Expect real ownership, zero corporate fluff, and the chance to work on AI that’s actually applied to business-critical problems.

WITHIN YOUR FIRST 90 DAYS, YOU’LL:

• Work on demographic & behavioral data (e.g., product recommendations)

• Use LLMs to build predictive models

• Optimize neural network performance

• Help consolidate and streamline embedding workflows

• Build scalable pipelines for production

• Reduce model runtime in a measurable way

THE STACK
AWS | Databricks | Snowflake | Hugging Face | GraphQL/REST/gRPC APIs | Python (object-oriented, production-ready code)

ABOUT YOU

• 5+ years of industry experience, ideally with a Master’s or PhD in CS, Stats, or a related field

• Comfortable with large-scale systems and deploying ML models into production

• Strong experience working with LLMs and foundational models

• Skilled in model monitoring, testing, and evaluation

• Experience mentoring junior engineers is a bonus

• Advertising experience is helpful but not essential

• You care about writing clean, maintainable code and thrive in collaborative environments

WHY JOIN?

• $200k base + equity + performance bonus

• Unlimited PTO

• Remote-first with ~5 hours EST overlap (hybrid NYC optional)

• High-growth startup with a collaborative, low-ego culture

• Real impact on product, roadmap, and scaling

• No corporate red tape-just smart people building good tech

• Support for continued education and upskilling

• Two off-sites per year to connect in person

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FOUNDING ENGINEER (AI & Virtual Technologies)

Location: Remote

Compensation: $170,000 – $190,000 Salary | 0.75% – 1% Equity

THE COMPANY:

Our client is a fast-growing, AI-powered startup that creates virtual beings designed to enrich real people’s lives. Since launching, their platform has attracted millions of users, with coverage from top-tier media outlets like The New York Times, Wall Street Journal, and Business Insider. Backed by leading investors, they are profitable and expanding rapidly.

They are now looking to add a Founding Engineer to their small, high-impact team. This is an exciting opportunity to join a well-funded, fast-growing company at the ground level, playing a key role in shaping the product and user experience.

THE ROLE:

As a Founding Engineer, you’ll work at the intersection of engineering, product, and growth. You’ll be expected to move fast, solve problems creatively, and have a direct impact on the product from day one. The ideal candidate is a builder at heart, with a passion for turning ideas into reality and a strong foundation in engineering.

KEY RESPONSIBILITIES:

• Build and Ship: Develop and launch new features using React and contribute to core engineering tasks.
• Engage with Users: Gather insights and iterate on product development based on real user feedback.
• Growth Engineering: Optimize growth funnels, conduct A/B tests, and experiment to drive user acquisition and engagement.
• Marketing Support: Apply engineering skills to optimize Customer Acquisition Cost (CAC), evaluate channel performance, and experiment with new growth strategies.
• Prototype & Innovate: Create new interactions for virtual people, including game experiences via screen sharing.

CORE REQUIREMENTS:

• 4-year Computer Science degree (or equivalent)
• Proven ambition, drive, and quick learning ability
• Track record of creative problem-solving and resourceful execution
• Proficiency in using AI to enhance productivity and creativity
• A relentless drive to be the best and achieve exceptional results

PREFERRED QUALIFICATIONS:

• Experience building consumer products (social, gaming, AI)
• Background in growth hacking and a data-driven, experimentation mindset
• Entrepreneurial experience, ex-founder, or early-stage startup background
• Experience in companies with high SWE hustle (e.g., Applied Intuition, Ramp, Duolingo)

TECH STACK:

• Frontend: React, JavaScript, TypeScript
• Backend: Node.js, Firebase
• Infrastructure: Kubernetes
• Programming Languages: Python, SQL
• APIs & Integrations: SDK Development, External API Integrations

HOW TO APPLY

Register your interest through the application link or reach out to Jack Wolf directly

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AD Ops Strategist

Remote (EST time zone)

Up to $90k

A leading boutique independent media agency that is focused on evolving the media landscape through precision branding

The Role

• Traffic digital campaigns in CM360, manage creatives, tags, tracking – you make the machine run.
• Regularly test creatives, landing pages, and tags – resolving issues to keep campaigns running smoothly.
• Pull and analyze campaign data to support optimization and performance insights.
• Side-by-side with account, analytics, and digital strategy to keep campaigns tight and timelines tighter.

• Stay on top of ad tech trends and work with internal teams to evolve our stack and workflows.

• Bring ideas to the table, explore the latest tools, and help evolve our ad tech stack.

Your Skills & Experience

• 3+ years of hands-on Ad Ops, trafficking or digital media execution experience.
• Hands on experience across CM360, Html, Ads & Double verify
• Experience working with MediaOcean and Prisma is a plus
• Excellent communication skills
• Experience optimising ad campaigns
• Consulting experience

To Apply for this Job Click Here

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Staff Applied Scientist

Location: Hybrid in New York, New York (open to fully remote)

Compensation: $230,000 – $250,000 base salary + bonus + benefits

About the Company:
We are partnering with a leading financial services company in the legal space, driving innovation through AI. This company is at the forefront of transforming the way AI interacts with financial and legal professionals, creating smarter, faster, and more cost-effective models. As they scale their product, they are looking for leading NLP researchers to focus on novel NLP development. This is an exciting opportunity for someone to have a significant impact on the future of AI in a highly-regulated industry.

THE ROLE

As a Staff Applied Scientist, you will play a crucial role in developing novel machine learning and LLM models tailored for the legal and financial services domain. Your work will directly shape the company’s AI capabilities, and you will report directly to the C-suite.

• Innovate and Build: Develop novel machine learning and LLM models from the ground up, tailored for the legal industry and open-source environments.

• Technical Leadership: Collaborate closely with C-suite executives to define and execute technical direction. You will be integral to decision-making and strategy.

• End-to-End Ownership: From research to production, you will lead the development of Proof-of-Concepts (PoCs) and build out platforms from scratch (0-1 development).

• Model Optimization: Lead efforts to optimize prompts, models, and inference strategies, ensuring continuous improvement and efficiency.

• Thought Leadership: Act as a thought leader in the domain of LLMs, both within the company and the broader AI community. Educate and guide non-technical stakeholders.

• Research Contribution: Own novel models and applications leading to patents and publications in top NLP journals.

YOUR SKILLS AND EXPERIENCE

We are looking for an experienced Staff Applied Scientist with the following qualifications:

• 5+ years of commercial experience in NLP, with a focus on building production-ready language-based models.

• Proven experience in building NLP platforms and working with large datasets.

• Deep expertise in Python (TensorFlow, PyTorch, NLTK, spaCy, etc.) and developing production-grade natural language / information retrieval models.

• A track record of taking models from concept to production, with hands-on experience in research and commercial deployment.

• Familiarity with advanced machine learning techniques for natural language models (NLP / LLMs).

• Comfortable working in fast-paced environments, wearing multiple hats and collaborating with both technical and non-technical teams.

• A PhD in Computational Linguistics, Computer Science, Statistics, or a related field in natural language is required.

THE BENEFITS

• Competitive Salary: Base salary of $230,000 – $250,000.

• Novel Research: Ownership of new applications you build

• Comprehensive Benefits: Full range of health benefits, retirement plans, and more.

HOW TO APPLY

Interested candidates should submit their resume to Tim Jonas via the Apply link on this page. We are eager to hear how you can contribute to the future of AI in legal and financial services.

KEYWORDS:

Machine Learning | Natural Language Processing | Natural Language Generation | Natural Language Understanding | NLG | NLU | LLM | Large Language Models | Artificial Intelligence | Generative AI | Research | Python | TensorFlow | PyTorch | NLP | Open-Source | Legal Tech | Financial Services | AI Platforms | Thought Leader | NLP Strategy

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BACKEND SOFTWARE ENGINEER
SOFTWARE ENGINEERING
NEW YORK, NY (HYBRID)
$160,000 – $180,000 + EQUITY

THE COMPANY
This early-stage, VC-backed startup is developing an AI-driven platform focused on simplifying and automating a traditionally complex area of infrastructure management. Their technology helps technical teams save time and reduce costs by streamlining operations across major cloud environments.

THE ROLE – BACKEND SOFTWARE ENGINEER
You’ll join a lean, high-performing engineering team as a Backend Software Engineer. This is a core software engineering role focused on data and infrastructure-heavy development. You’ll help tackle a large backlog of projects with a focus on building fast and building well.
Key responsibilities include:

• Developing and scaling internal APIs and infrastructure
• Collaborating closely with other engineers across the stack
• Working across multiple products and services
• Contributing to architectural decisions in a flat, fast-moving environment

SKILLS AND EXPERIENCE

• Proficient in Python, AWS, and SQL
• Experience with Docker and Kubernetes
• Familiarity with ETL and data ingestion pipelines
• Background in fast-paced startups preferred
• Strong computer science fundamentals

BENEFITS
Salary range of $160,000-$180,000 plus equity. The team works hybrid from a West Village office 3 days a week (flexible on which days). They also offer 2 weeks off in the winter and an additional week off in the summer.

HOW TO APPLY
Reach out directly to Malia Jalbert to learn more or apply.

KEYWORDS
Backend Engineer, Python, AWS, Infrastructure, Kubernetes, ETL, FinOps, Cloud Cost Optimization, Early Stage Startup, AI, NYC, Software Engineering, Data Engineering

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