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Senior Digital Strategist, Paid Social

$70,000 – $90,000 Base + Benefits

New York / Connecticut Preferred | Remote (ET/CST)

We’re partnered with a leading independent media agency looking to hire a Senior Media Strategist, Paid Social to join their growing digital team.

This is a hands-on role focused on owning paid social campaigns end-to-end across major platforms, working with a strong portfolio of clients across insurance, healthcare, finance, and consumer brands.

The Role

You’ll be responsible for building, launching, and optimizing paid social campaigns, working closely with internal media, analytics, and creative teams to drive performance.

• Execute and optimize paid social campaigns across Meta, LinkedIn, TikTok, Reddit, Snap, Pinterest, and X
• Develop campaign strategy based on audience, platform, and performance data
• Analyze campaign performance and provide actionable insights to improve KPIs
• Collaborate with cross-functional teams to align on media plans and execution
• Support creative direction by advising on best-performing formats and messaging

Your Background

• 4-5+ years of hands-on paid social experience
• Strong platform expertise across Meta and at least 2-3 additional channels (TikTok, LinkedIn, Snap, etc.)
• Proven ability to optimize campaigns and improve performance metrics (CPA, ROAS, conversions)
• Experience working in an agency environment preferred
• Comfortable owning campaigns end-to-end, from setup through reporting

What We’re Looking For

• A true executor – someone who enjoys being in-platform and driving performance
• Strong analytical mindset with a focus on results
• Collaborative, positive, and team-oriented
• Someone looking to grow within a stable, high-performing team (not a step-up title move)

Why Apply?

• Join a well-established agency with strong client relationships and continued growth
• Work across a diverse set of brands and industries
• Be part of a collaborative, high-performing paid social team
• Clear expectations, strong culture, and realistic work-life balance

If you’re a paid social specialist looking for a role where you can own campaigns and make a direct impact, apply now or reach out for more details.

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Senior MLOps Engineer

New York, New York – 4 days onsite

$160,000 – $180,000 + bonus

THE COMPANY

Harnham is partnering with a top financial services company in the NYC area, which is looking for an experienced MLOps Engineer. This person will be at the forefront of scaling AI automation applications for new ways at identifying cost-saving opportunities. You’ll partner with executive teams across the company and own generative AI, LLM and reinforcement learning application infrastructure deployment at scale.

RESPONSIBILITIES

• You will be responsible for machine learning model deployment and scalability for the company’s AI platform
• You will report directly to senior leadership and work closely on technical direction
• Own AI infrastructure and quickly build into production, particularly focusing on novel AI and LLM applications
• You will implement and design code and build out to production using various machine learning and LLM techniques, owning machine learning workflow operations and distributed systems
• Own CI/CD pipelines for MLOps / LLMOps
• You will play an integral role of building out the AI team and scaling out its product
• Act as a thought leader role for AI across the business

SKILLS AND EXPERIENCE

• 5+ years of commercial experience preferred with a focus on deploying and scaling machine learning and LLM models
• Expertise in Python (TensorFlow, PyTorch) for production-grade work
• Commercial experience building novel AI platforms with large datasets
• History of working with and managing real-time AI applications in production settings
• Fluency with low-latency distributed systems is preferred
• Cloud experience in AWS, Azure or GCP
• DevOps experience with CI/CD pipelines required; Gitlab Pipelines, CDK or Terraform
• Container experience with Docker or similar
• History of working on models from concept to production / end-to-end / 0-1
• Software engineering foundation: debugging, testing, maintainable code design
• Domain experience in fintech or similar a plus
• History of partnering with non-technical stakeholders required
• Experience owning projects directly preferred
• BS or MS degree in Computer Science, Software Engineering, Computer Engineering or similar

BENEFITS

The compensation package contains a base salary, bonus and a comprehensive benefits package.

HOW TO APPLY

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

KEY TERMS

Artificial Intelligence | Generative AI | GenAI | Machine Learning | ML Engineer | Engineering | Deployment | Production | Real Time | Enterprise | Statistics | Mathematics | Financial Services | Banking | Python | Anomaly Detection | Fintech | Agentic AI | AI Agents | MLOps | ML Operations | Deployment | Deploy | Production | CI/CD | Container | Docker | Gitlab Pipelines | Terraform

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Manager, Prompt Engineering – Legal

New York, New York – Hybrid

$250,000-300,000 base + bonus

Overview

We are seeking a Manager, Prompt Engineer – Legal to play a key role within our Technology & Information Services function. This position will lead the implementation of strategic initiatives focused on optimizing AI systems and workflows that support transactional legal practices. The role involves building and managing a high-performing team of legal engineers and knowledge engineers, while driving innovation in AI-enabled legal workflows.

Key Responsibilities

• Lead, mentor, and develop a team of legal engineers and knowledge engineers, providing strategic direction, performance management, and professional development
• Establish and oversee prompt engineering standards, workflow templates, and quality assurance protocols for AI-powered tools across document review, legal research, and drafting workflows
• Execute a multi-year strategy for AI-enabled transactional workflows aligned with organizational priorities and user needs
• Translate transactional legal requirements into AI workflow specifications, prompt libraries, and structured knowledge repositories
• Provide strategic input on prioritization, resource allocation, and optimization of AI initiatives, balancing technical feasibility and business value
• Define and monitor KPIs, quality metrics, and user satisfaction indicators, using data insights to guide continuous improvement and scaling
• Ensure the protection and confidentiality of sensitive, privileged, and proprietary information

Qualifications

• Deep expertise in AI systems and prompt engineering, with a demonstrated ability to optimize large language model outputs for accuracy and consistency
• Strong understanding of transactional legal practices, including diligence, drafting, and negotiation workflows
• Advanced knowledge engineering experience, including development of prompt libraries, workflow templates, and quality assurance frameworks

Requirements

• Minimum of 8 years of experience in legal technology, knowledge management, or legal practice, including work with AI systems or workflow optimization
• Prior management experience
• Bachelor’s degree or equivalent in Law, Computer Science, Information Systems, or a related field preferred
• J.D. preferred

Keywords:

Legal Engineering | Transactional Law | AI Systems | Prompt Engineering | Large Language Models (LLMs) | Legal Technology | Knowledge Management | Workflow Optimization | AI Workflows | Document Automation | Legal Research | Drafting | Due Diligence | Knowledge Engineering | Prompt Libraries | AI Strategy | KPI Development | Data-Driven Insights | Hybrid Work | Team Leadership

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Sr. Product Engineer

Location: New York City (Hybrid)
Pay: $200k – $250k base + bonus & equity
No Sponsorship Offered

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Role Overview

This organisation operates in the healthcare technology sector, building mission‑critical software platforms that power complex workflows, data‑driven decision‑making, and AI‑enabled automation in highly regulated environments. The engineering culture is product‑oriented, outcome‑driven, and focused on building systems that are not only scalable and reliable, but also intuitive and trusted by end users.
As a Sr. Product Engineer, you will operate as a senior full‑stack contributor with strong product ownership. You’ll work closely with Product, Design, and Data teams to build high‑impact user experiences in React while designing and evolving Node.js services that support real‑time workflows, data exchange, and AI‑assisted functionality. This role carries significant influence over both technical direction and product outcomes.

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Responsibilities

• Own end‑to‑end product features across React frontends and Node.js backend services
• Partner closely with Product and Design to translate ambiguous requirements into scalable, user‑centric solutions
• Design and build APIs and backend services that support complex workflows, data integrity, and AI‑enabled features
• Drive architectural decisions balancing usability, performance, reliability, security, and regulatory constraints
• Build intuitive, high‑quality interfaces that surface complex system behaviour in a clear and explainable way
• Ensure applications are observable, debuggable, and resilient in production environments
• Influence engineering standards and best practices across frontend and backend codebases
• Lead cross‑team initiatives where success is measured by product outcomes and customer impact
• Mentor engineers and act as a senior technical voice in design and architecture discussions

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Must‑Have Qualifications

• 7+ years of experience building and operating production software, with strong full‑stack ownership
• Deep experience with React (or similar modern frontend frameworks) and Node.js (TypeScript preferred)
• Proven ability to build and evolve user‑facing products, not just internal services
• Strong experience designing and consuming APIs (REST, GraphQL, or similar)
• Experience working in cloud environments (AWS, Azure, or GCP) with a focus on reliability and observability
• Comfortable operating in complex, regulated domains where correctness and user trust are critical

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Product Engineer

Location: New York City (Hybrid)
Pay: $160k – $200k base + bonus & equity
No Sponsorship Offered

Role Overview

This organisation operates within healthcare technology, building large‑scale, mission‑critical platforms that support complex workflows, data‑driven decision‑making, and AI‑enabled automation. Engineering teams work in a highly regulated environment where system correctness, reliability, and transparency are essential.
As a Product Full‑Stack Engineer, you will own and evolve core product and platform experiences across both frontend and backend systems. You’ll play a key role in shaping user‑facing applications built in React while designing scalable Node.js services that power real‑time workflows, data exchange, and AI‑assisted functionality.
This is a senior, high‑impact role with broad technical ownership, architectural influence, and close collaboration across product, data, and applied AI teams.

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Responsibilities

• Own and evolve full‑stack architectures spanning React‑based frontends and Node.js backend services
• Design and build scalable APIs and services that support data‑heavy, AI‑enabled workflows
• Develop intuitive, high‑performance user interfaces that surface complex data and system decisions clearly and responsibly
• Make system‑level trade‑offs across performance, reliability, security, and regulatory requirements
• Partner with data and applied AI teams to integrate AI‑driven capabilities into production user experiences
• Ensure applications are observable, debuggable, and resilient under real‑world production usage
• Influence frontend and backend engineering standards across multiple teams
• Lead ambiguous, cross‑functional initiatives where success is measured by outcomes, not tickets
• Mentor engineers and act as a technical leader through design reviews and architectural guidance

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Must‑Have Qualifications

• 8-10+ years of experience building and operating production software systems
• Strong full‑stack background with deep experience in React (or similar modern frontend frameworks)
• Solid backend experience with Node.js (TypeScript strongly preferred)
• Experience designing and consuming APIs (REST, GraphQL, or similar)
• Familiarity with cloud environments (AWS, Azure, or GCP) and production reliability best practices
• Proven ability to influence architecture and technical direction beyond a single team

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Sr. Fullstack Engineer

Hybrid (NYC)

$170k – $190k Base + bonus & equity

Overview

A global, high‑growth technology company operating at the intersection of financial technology, consumer platforms, and digital security is expanding its engineering leadership team. The organisation builds large‑scale, consumer‑facing platforms used by hundreds of millions of users worldwide, with a strong focus on quality, long‑term maintainability, and responsible AI‑assisted development.
This role sits within a financial products marketplace that partners with major financial institutions to deliver personalised consumer experiences. The position is ideal for a senior‑level engineer who values engineering judgement, thoughtful architecture, and technical leadership over speed alone.

Responsibilities

• Own and uphold a high engineering quality bar across design reviews, code reviews, testing strategy, and production readiness
• Collaborate closely with product, design, and engineering partners to shape solutions and evaluate technical trade‑offs
• Architect and build frontend‑leaning, full‑stack systems that are modular, composable, and resilient to change
• Champion performance, reliability, and maintainability in AI‑assisted development environments
• Apply functional programming principles and immutability to reduce side effects and improve system clarity
• Lead the effective use of AI agents for prototyping, refactoring, and exploration while ensuring production‑grade outcomes
• Drive a robust automated testing strategy across unit, integration, UI/component, and end‑to‑end layers
• Provide technical leadership through mentorship, delegation, and high‑quality code reviews

Must‑Have Qualifications

• Bachelor’s degree in Computer Science, Engineering, or a related field
• 8+ years of experience building production web applications, including senior‑level ownership
• Prior experience operating at principal, lead, or staff engineer level
• Expert proficiency with TypeScript and React, including server‑side rendered frameworks such as Next.js
• Strong understanding of functional programming concepts and immutability in modern frontend systems
• Advanced knowledge of automated testing strategies and CI‑driven feedback loops

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Lead AI Scientist

$240,000-$260,000 base + bonus + benefits

Remote

About the Organization

Join a global financial services company delivering intelligent information and technology solutions to professionals in legal, tax, compliance, and corporate sectors. The team is part of the organization’s innovation hub, focused on applying AI, LLM, and data science to create forward-looking tools.

The environment combines the best of both worlds: startup energy with enterprise support. Projects include building agentic systems to automate tax prep and document summarization for legal and financial workflows.

About the Role

This is a tech-lead, model building / development-focused role-ideal for someone with a strong foundation in applied AI research and a passion for making machine learning work in the real world. You’ll own experiments, iterate on PoCs, and help define how ML models are built for in production environments.

What You’ll Bring

• 7+ years of machine learning and NLP / LLM modeling experience in applied research and production environments
• PhD in Computer Science, Computational Linguistics, Statistics or similar highly preferred
• Technical leadership experience required; direct people management a plus
• Experience with LLMs, agentic AI or generative AI for customer-facing applications
• Background in: deep learning or NLP preferred; experience building neural networks like CNNs, RNNs, LSTM, or similar
• Cloud environments (provider-agnostic), AWS or GCP a plus
• Python, PyTorch, TensorFlow, Hugging Face, BERT, RAG experience preferred
• Publication and patent history a plus
• Strong collaboration and communication skills, including experience working with non-technical stakeholders
• Independent problem-solver with a proactive mindset

HOW TO APPLY

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

KEYWORDS

Machine Learning | GenAI | Gen AI | Generative AI | LLMs | Large Language Models | Artificial Intelligence | Applied Research | Production | AI | Artificial Intelligence | Publications | Patents | PyTorch | Python | Deployment | Hugging Face | RAG | Retrieval Augmented Generation | Agents | Agentic AI | Generative AI | NLP | Natural Language Processing | Chatbots | NER | Information Extraction | Information Retrieval

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Partner – Head of AI & Strategy (Boutique Consultancy)

REMOTE – East & Central US

$400,000 – $600,000 OTE + Equity

We’re supporting a boutique global advisory firm that is expanding its US AI & Data Strategy practice. This is a rare opportunity to build a business from the ground up while leveraging an established international brand and existing enterprise relationships.

This role is suited to someone who combines commercial leadership, AI/Data strategy expertise, and a strong track record of originating new business with the C‑suite.

What you’ll be doing

• Launching and scaling the firm’s US AI & Data practice
• Owning revenue generation and closing transformational AI/Data programs
• Building and deepening C‑level relationships (CEO, CIO, CDO, COO)
• Defining US go‑to‑market strategy and identifying priority verticals
• Establishing credibility in the US AI strategy ecosystem
• Potentially hiring and shaping the early US team over time

What they’re looking for

• 8+ years in strategy consulting within Data/AI transformation
• Proven revenue ownership and ability to build a book of business from zero
• Strong experience selling to senior executives
• US‑based: East Coast or Central time zones
• Someone entrepreneurial who thrives without heavy corporate structure

Why this role

• First US Partner hire with genuine autonomy
• High financial upside + equity
• Ability to shape a national practice and own market strategy
• Direct exposure to senior global leadership

HOW TO APPLY

If you want to build and lead a high‑impact AI strategy practice in the US market, apply today.

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Inspiren – Senior Data Platform Engineer

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1. Role Overview

• Title: Senior Data Platform Engineer
• Department / Function: Engineering / Data Platform / Infrastructure
• Reports To (Name / Title): Likely Engineering Leadership / Head of Data / Platform Lead / Aaron (Hiring Manager)
• Level (IC / Manager / Director / Exec): Senior IC
• Reason for Hire (Growth / Backfill / Transformation): Growth + Platform Transformation
• Urgency / Timeline: High priority / active immediate search

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2. Compensation & Incentives

• Base Salary Range: $180,000 – $200,000
• Bonus (Structure / Target %): Likely discretionary / not primary lever
• Equity (Yes/No + Details): Yes, meaningful startup equity likely included
• Total Comp Range (if applicable): $200k+ depending on equity and experience
• Flexibility on Comp: Moderate to strong for top-tier talent

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3. Location & Work Environment

• Primary Location: Remote (US or Canada), NYC preferred
• Remote / Hybrid / Onsite (Days / Expectations): Fully remote with preference for proximity to NYC leadership hub
• Time Zone Requirements: EST or overlap strongly preferred
• Travel Requirements: Minimal occasional team offsites likely
• Relocation Offered (Yes/No): Likely case-by-case
• Visa Sponsorship (Yes/No): Unknown / likely limited

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4. Organization & Team Context

• Company Overview (Product, Mission, Market):
  Inspiren builds AI-powered technology for senior living communities. Their platform blends real-time monitoring, analytics, workflow intelligence, and operational tools to improve resident outcomes, caregiver efficiency, and profitability.
• Organizational Focus: AI, Data Infrastructure, Computer Vision, Healthcare Operations, Platform Scale
• Funding Stage / Revenue / Growth:
  Series B growth-stage company with ~$155M total funding and strong recent momentum.
• Team Size & Structure:
  Scaling engineering org with growing investments across data, ML, CV, and software engineering.
• Cross-Functional Partners:
  Engineering, Product, Analytics, ML, Data Science, Operations, Leadership
• Team Culture & Working Style:
  Fast-paced, mission-driven, high ownership, builder mentality, collaborative, pragmatic

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5. Role Purpose

• Core Problem This Role Solves:
  Build and scale the foundational data platform that powers analytics, ML systems, internal reporting, operational intelligence, and product decision-making.
• Why This Role Matters Now:
  Company growth is accelerating and data has become mission critical. Need mature infrastructure to support scale, reliability, and AI expansion.
• What Success Looks Like (6-12 months):

1. Streaming ingestion layer modernized
2. Databricks environment optimized for scale/cost
3. Governance and RBAC strengthened
4. Reusable tooling adopted by internal teams
5. Reliable platform trusted across business units

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6. Key Responsibilities

Core Ownership Areas

• Databricks platform architecture
• AWS data infrastructure
• Streaming ingestion (Kafka / Kinesis)
• Governance / RBAC / lineage
• Cost optimization
• Internal data tooling

Day-to-Day Responsibilities

• Build pipelines and platform components
• Optimize compute/storage spend
• Partner with ML / analytics stakeholders
• Troubleshoot reliability issues
• Improve observability and standards

Short-Term Projects (First 3-6 months)

• Assess current platform bottlenecks
• Improve ingestion reliability
• Implement quality frameworks
• Tighten governance model

Long-Term Initiatives

• Multi-year scalable data platform roadmap
• ML / AI data enablement
• Self-service analytics infrastructure
• Best-in-class internal developer experience

Stakeholder Interaction

Frequent interaction with engineering, product, analytics, ML, and leadership.

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7. Technical / Functional Requirements

Must-Haves

• Strong Databricks hands-on experience
• Modern lakehouse / warehouse expertise
• AWS cloud experience
• Pipeline architecture at scale
• Governance / RBAC understanding
• Strong Python / SQL
• Strong communication skills

Nice-to-Haves

• Kafka / Kinesis
• Startup experience
• Healthtech experience
• AI tooling adoption (Cursor / Claude Code)

Tech Stack

• Languages: Python, SQL
• Frameworks: Spark / PySpark
• Cloud / Infra: AWS, Databricks
• Tools / Platforms: Kafka, Kinesis, Airflow, Terraform, monitoring stack

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8. Ideal Candidate Profile

• Years of Experience: 5-10+ years
• Target Background:
  High-growth startups, healthcare tech, modern SaaS, data-heavy product companies, elite enterprise platform teams
• Education Preferences: Strong technical foundation; degree helpful not mandatory

Top Resume Signals

1. Databricks ownership
2. AWS production scale
3. Streaming ingestion systems
4. Governance / Unity Catalog / RBAC
5. Cost optimization + stakeholder impact

Key Traits / Soft Skills

• Ownership mentality
• Strong communicator
• Builder mindset
• Comfortable in ambiguity
• Pragmatic operator
• Cross-functional collaborator

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9. Red Flags / Non-Starters

• Pure BI / reporting profile
• No Databricks hands-on depth
• No production scale systems
• Weak communication
• Highly siloed enterprise-only mindset
• No ownership examples

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10. Interview Process

• Number of Stages: Likely 4-5
• Interview Format: Recruiter screen, HM screen, technical deep dive, stakeholder rounds, final
• Key Stakeholders Involved: Cameron, Aaron, Engineering leaders, cross-functional peers
• Timeline: Fast-moving if strong candidate identified

Assessment Areas

• Databricks depth
• Platform architecture
• Problem solving
• Communication
• Ownership / initiative
• Startup adaptability

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11. Hiring Criteria / Evaluation Framework

Core Competencies Being Assessed

• Technical depth
• System design
• Communication
• Leadership / ownership
• Business thinking
• Reliability mindset

Deal Breakers

• Cannot operate autonomously
• No hands-on architecture depth
• Weak stakeholder presence
• Overly theoretical profile

Nice Differentiators

• Healthtech experience
• AI/ML platform support experience
• Elite company pedigree
• Strong cost optimization track record

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12. Selling Points / Why a Candidate Would Join

• Mission-driven work improving elder care
• Real-world AI impact
• Strong funding and runway
• High ownership role
• Databricks + AWS modern stack
• Ability to shape platform strategy early
• Equity upside
• Meaningful technical challenges

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13. Additional Notes / Nuances

Need someone who can both build and influence. This should not be a passive ticket-taker. Strong preference for candidates who proactively create standards, tooling, and scalable systems.

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Senior Data Scientist – Semantic Chunking

$180,000-$200,000 base + bonus + benefits

Remote

About the Organization

Join a global financial services company delivering intelligent information and technology solutions to professionals in legal, tax, compliance, and corporate sectors. The team is part of the organization’s innovation hub, focused on applying AI, LLM, and data science to create forward-looking tools.

The environment combines the best of both worlds: startup energy with enterprise support. Projects include building agentic systems to automate tax prep and document summarization for legal and financial workflows.

About the Role

This is a hands-on, model building / development-focused role-ideal for someone with a strong foundation in applied NLP research and a passion for making machine learning work in the real world. You’ll own experiments, iterate on PoCs, and help define how ML models are built for in production environments. You’ll serve as a technical expert in semantic chunking, information retrieval and RAG.

What You’ll Bring

• 5+ years of machine learning and NLP modeling experience in applied research and production environments
• PhD in Computer Science, Computational Linguistics, Statistics or similar highly preferred
• Technical leadership experience required; direct people management a plus
• Experience with LLMs and agents for financial services, legal or compliance
• Background in: NLP: semantic chunking, Named Entity Recognition / NER, information extraction, and information retrieval
• Cloud environments (provider-agnostic), AWS or GCP a plus
• Python, PyTorch, TensorFlow, Hugging Face, BERT, RAG experience preferred
• Publication and patent history a plus
• Strong collaboration and communication skills, including experience working with non-technical stakeholders
• Independent problem-solver with a proactive mindset

Preferred Experience

• Technical leadership on NLP products
• Experience delivering LLM-based solutions
• Familiarity with all stages of the AI product lifecycle
• Startup or fast-paced innovation environment experience

HOW TO APPLY

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

KEYWORDS

Machine Learning | GenAI | Gen AI | Generative AI | LLMs | Large Language Models | Artificial Intelligence | Applied Research | Production | AI | Artificial Intelligence | Publications | Patents | PyTorch | Python | Deployment | Hugging Face | RAG | Retrieval Augmented Generation | Agents | Agentic AI | Generative AI | NLP | Natural Language Processing | Chatbots | NER | Information Extraction | Information Retrieval |Semantic Chunking

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