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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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DATA SCIENTIST

CLIENT FACING/PHARMACEUTICAL

REMOTE

UP TO $135K

The company is dedicated to transforming healthcare engagement through a socio-behavioral analytics platform, they leverage real-world data to uncover complex behavioral and social factors that influence individual’s health decisions

The Role

A Data Scientist opportunity for someone who has been client facing within the pharmaceutical industry with a deep understanding in this space

• Work closely with pharmaceutical clients to solve complex business challenges using data & analytics
• Develop data driven solutions across commercial, clinical trials and medical domains
• Apply predictive analytics and broader analytical techniques to generate actionable insights
• Conduct descriptive and geospatial analytics to inform decision-making
• Work on commercial analytics, leveraging real-world data to address market and revenue generation challenges
• Solve critical healthcare questions such as why people do not seek care and conduct patient journey analysis using human-centred data approaches
• Collaborate with internal teams, including Product and R&D, to collect, analyze, and interpret data
• Support business development opportunities through consulting, data analysis, and presentation development
• Effectively communicate insights through data visualization, storytelling, and presentations to both technical and non-technical audiences

YOUR SKILLS & EXPERIENCE

• 3+ years of experience in data science with a strong emphasis on pharma analytics
• Proven client-facing experience, with the ability to translate business problems into analytical solutions
• Strong background in predictive modelling, regression analysis, and statistical techniques
• Expertise in Python, R and statistical analysis
• Ability to interpret and model real-world healthcare data, with a focus on human behaviour
• Experience in commercial analytics within clinical trials, medical, or pharmaceutical industries
• Strong problem-solving skills and intellectual curiosity
• Master’s degree required; PhD is a plus
• Full right to work in the US

To Apply for this Job Click Here

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LEAD DATA SCIENTIST

HEALTHTECH

Location: New York, NY

Compensation: $175,000 – $200,000 / year

THE COMPANY:

Our client is an innovative health-tech company using AI, data science, and advanced analytics to transform healthcare. Focused on reducing misdiagnoses in radiology, their mission is to improve patient outcomes and drive cost-effective healthcare solutions. With major clients and a rapidly growing user base, the company is scaling quickly, bolstered by significant funding to expand their technology and data science teams.

THE ROLE:

Our client is looking for a Senior Data Scientist to join their growing team. This role will be critical in analyzing healthcare claims data, conducting causal inference modeling, and contributing to the mission of improving clinical outcomes. The individual will provide technical leadership, collaborate across teams, and support the development of data pipelines and statistical models.

KEY RESPONSIBILITIES:

• Perform in-depth analysis of healthcare claims data to identify trends, savings opportunities, and insights related to clinical outcomes.
• Lead and contribute to the development of causal inference models that quantify savings and improvements in clinical outcomes.
• Apply advanced statistical methods, including difference-in-differences modeling, to assess the impact of various interventions.
• Provide technical leadership and collaborate with other team members to refine and expand the company’s statistical models and data pipelines.
• Serve as a subject matter expert in causal modeling and econometrics, offering guidance on the most appropriate methodologies and statistical approaches.
• Work closely with internal teams to ensure methodological rigor in analyses and support technical writing.
• Participate in client discussions to present findings and provide expert insights.
• Take ownership of the codebase, ensuring its scalability and efficiency, and contribute to the improvement of existing models.
• Conduct analysis for business needs and support new client inquiries.

QUALIFICATIONS:

• Advanced expertise in statistical modeling and causal inference methods, with a strong preference for experience in difference-in-differences and econometric techniques.
• Proven experience analyzing healthcare claims data, with a focus on clinical outcomes and cost-effectiveness.
• Strong coding experience, with the ability to maintain and extend existing codebases ensuring scalability and efficiency.
• Experience working in environments where code is put into production, with practical applied computer science knowledge.
• Comfortable working in fast-paced, ambiguous environments with a demonstrated ability to pivot quickly and manage competing priorities.
• Excellent communication skills, able to collaborate effectively with both technical and non-technical stakeholders.
• Ability to produce clear technical documentation and contribute to thought leadership materials.

TECH STACK:

• R (primary language), including Sparklyr for Spark integration
• SQL
• Python (preferred, but not heavily emphasized)

PERSONAL ATTRIBUTES:

• Collaborative, team-oriented mindset with a strong ability to work cross-functionally.
• High level of independence and autonomy, with a willingness to pivot and work in ambiguous environments.
• Adaptable to evolving priorities, managing multiple tasks while maintaining attention to detail and quality.
• No ego, strong work ethic, and ability to respect and empathize with colleagues.

HOW TO APPLY

Register your interest by clicking apply or by reaching out to Jack Wolf directly

To Apply for this Job Click Here

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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 decision-making? We are seeking an Analytics Manager to join a dynamic team within the finance industry. This remote-first role (EST hours) is ideal for an experienced professional who thrives in a fast-paced environment and is eager to drive data transparency, optimize reporting, and shape future strategy.

What You’ll Do:

• Lead and optimize reporting, analytics, and key business performance metrics.

• Collaborate cross-functionally with Finance, Product, and Operations to enhance business processes.

• Develop operational strategies and roadmaps, leveraging deep data insights.

• Analyze large datasets to improve efficiencies and drive impactful decisions.

• Manage stakeholder relationships and ensure alignment across departments.

What We’re Looking For:

• Extensive experience in business intelligence, analytics, or related fields.

• Strong leadership skills with a track record of influencing strategic decisions.

• Proficiency in SQL, Python or R, and data visualization tools like Tableau or Power BI.

• Experience with Salesforce Analytics, AWS, Snowflake, or Five9 is a plus.

• Background in financial services is preferred.

Why Join?

• Competitive salary ($135,000 – $150,000) + discretionary bonus.

• Remote-first role within EST working hours.

• Opportunity to make a tangible impact in a fast-growing organization.

This role is exclusively managed by Oisin Ennis from Harnham. If you’re ready to take the next step in your analytics career, apply now or reach out for more details!

#Analytics #Finance #DataScience #Leadership #RemoteJob #Hiring

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STAFF SOFTWARE ENGINEER (TECH LEAD)
FINANCIAL SERVICES
NEW YORK, NY (ON-SITE)
$180,000 – $240,000 BASE + EQUITY

THE COMPANY
We are partnered with a software-first company revolutionizing compliance automation for financial services, including robo-advisors, broker-dealers, and funding portals. The company’s mission is to save time and eliminate inefficiencies in the compliance process.

THE ROLE – STAFF SOFTWARE ENGINEER (TECH LEAD)
We are seeking a versatile Staff Software Engineer (Tech Lead) to address platform and client-specific challenges.​

Key Responsibilities:

• Address and resolve platform and client-specific technical issues through direct coding or task delegation.​
• Conduct code reviews to ensure adherence to best practices and high-quality code standards.​
• Mentor and guide junior engineers, fostering their professional development.​
• Collaborate on strategic initiatives to innovate and expand our product offerings.​

SKILLS AND EXPERIENCE

• Proficiency in React, Django, Python, and AWS.​
• Background in financial services or compliance is preferred, or a strong interest in these areas.​
• Experience with large tech companies is advantageous, as it often provides a deep understanding of engineering best practices.​
• Ability to effectively mentor team members and influence technical decisions.​
• Must have an active presence on platforms like GitHub
• Prepared to discuss personal projects

BENEFITS
Competitive base salary ranging from $180,000 to $240,000 and Equity options offering ownership in the company.​

HOW TO APPLY
Please register your interest by sending your resume to Malia Jalbert via the Apply link on this page.​

KEYWORDS
Backend, Software Engineer, AWS, React, Django, Python, System Design, Infrastructure, Financial Services, Compliance, Startups

To Apply for this Job Click Here