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HEAD OF SECURITY ENGINEERING – GLOBAL ENTERPRISE

ONSITE – DALLAS FORT- WORTH METROPLEX

SALARY: $200,000 – $235,000 + BONUS + EQUITY

SECURITY ENGINEERING MANAGER

We’re seeking a results-driven and detail-oriented leader to join our global IT team as Head of Security Engineering. This role is central to advancing our cybersecurity program-driving strategy, execution, and optimization of our security engineering services and tool stack.

RESPONSIBILITIES

• Develop and execute the enterprise security architecture and engineering strategy, leveraging NIST frameworks and Zero Trust principles.
• Partner across teams to embed security-by-design, least privilege, and defense-in-depth into solutions, integrating SAST/DAST tools for continuous secure development.
• Lead the delivery and optimization of security tools and architecture, including next-gen SIEM platforms (e.g., Splunk) for real-time threat detection and analytics.
• Automate and enhance incident response using SOAR to streamline detection, remediation, and playbook execution.
• Continuously improve processes, governance, and cloud-native protections-particularly within AWS environments.
• Translate business risks into scalable, practical security solutions that exceed compliance requirements.
• Recruit, mentor, and scale a high-performing security engineering team.
• Use data-driven insights (from SIEM, SOAR, and AWS metrics) to monitor and strengthen security posture.

SKILLS

• Passion for cybersecurity innovation and automation (SOAR, Zero Trust, cloud security).
• Proven success designing and implementing secure architectures across enterprise applications, networks, and AWS.
• Deep expertise in Splunk SIEM, NIST CSF, and Zero Trust implementation.
• Hands-on experience with secure code analysis (SAST/DAST) and DevSecOps automation in CI/CD pipelines.
• Strong communicator who can simplify complex security topics for diverse audiences.
• Knowledge of compliance standards (PCI DSS, GDPR, SOX) and advanced threat defense.

REQUIREMENTS

• Bachelor’s degree in Computer Science, Cybersecurity, or related field.
• 5+ years designing and implementing enterprise security solutions (SIEM, AWS, SOAR).
• 3+ years leading security engineering or operations teams, integrating modern security tooling.
• Experience applying NIST and Zero Trust frameworks and communicating risks across functions.
• Commitment to integrity, compliance, and excellence in hybrid/multicloud environments.

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Senior MLOps Engineer

New York, New York

$225,000-250,000 base salary + equity; $300,000-$350,000 total

THE COMPANY

Harnham is partnering with a unicorn AI adtech that builds AI platforms which enhance performance by delivering real-time relevance at critical points in the customer journey. Using intelligent systems and a global digital commerce framework, the platform powers high-volume interactions between millions of users and major brands. Following a significant valuation increase in early 2025, they are expanding rapidly across international markets, particularly in AI. The AI engineering team builds scalable, data-driven solutions that personalize user experiences and equip marketers with actionable insights, all while working with large-scale infrastructure and diverse technologies.

THE ROLE

• 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

YOUR SKILLS AND EXPERIENCE

The successful Senior MLOps Engineer will likely have the following skills and experience:

• 5+ years of commercial experience preferred with a focus on building and deploying machine learning and LLM models
• Experience working in a scaling startup is highly preferred (having seen multiple funding rounds ideally)
• 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
• History of working on models from concept to production / end-to-end / 0-1
• Experience in settings wearing multiple hats
• Domain experience in adtech or similar a plus
• History of partnering with non-technical stakeholders required
• Experience owning projects directly preferred
• BS or MS degree in Computer Science, Statistics, Applied Mathematics, Computer Engineering or similar

THE BENEFITS

A competitive base salary of $225,000-250,000 + benefits + equity

HOW TO APPLY

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

KEYWORDS

Machine Learning | AI | Artificial Intelligence | Technology | MLOps | LLMOps | Adtech | Advertising | Unicorn | Startup | Deployment | Production | LLMs | LLM | Large Language Models | GenAI | Gen AI | Generative AI | Distributed Systems | Low Latency | Real-time | Natural Language Processing | Infrastructure | Architecture | CI/CD | Continuous Integration | Continuous Deployment | Real Time Bidding | Auction | Recommendation Engine | Recommender System | Personalization | Bespoke | Target Audience

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Manager, AI Platform Engineering
$190,000-$220,000 + bonus + RSUs
3 days hybrid – Toronto, Ontario

About the Organization

Join a global 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, ML, 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 player/coach position, focusing on model deployment-ideal for someone with a strong foundation in software engineering and a passion for making machine learning work in the real world. You’ll lead a team of MLOps engineers on experiments, iterate on PoCs, and help define how ML models are deployed, scaled, and maintained in production environments.

What You’ll Bring

• 7+ years of software engineering experience in production environments
• 2+ years of team management experience working with AI / ML systems (Python)
• Experience with ModelOps / MLOps / AIOps workflows
• Background in:
• NLP: Named Entity Recognition / NER, information extraction, and information retrieval
• Numpy, Pandas, and scalable data handling
• Cloud environments (provider-agnostic)
• CI/CD pipelines, GitFlow, and Agile development
• Logging, alerting, testing, and autoscaling systems
• Strong collaboration and communication skills, including experience working with non-technical stakeholders
• Independent problem-solver with a proactive mindset

Preferred Experience

• Technical leadership on AI / ML products
• Experience delivering LLM-based solutions
• Engineering management experience, including mentoring or leading cross-functional teams
• Familiarity with all stages of the AI product lifecycle
• Startup or fast-paced innovation environment experience
• People management of teams greater than 3

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 | MLOps | AIOps | Platform | Infrastructure | Scalability | Production | Machine Learning Operations | AI | Artificial Intelligence | Containerization | PyTorch | Python | Deployment | Deploying | MLFlow | Kubernetes | Kubeflow | ModelOps | NLP | Natural Language Processing | GitFlow | NER | Information Extraction | Information Retrieval

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Senior Commercial Data Analyst
Location: London (Hybrid, 1-2 days per week)
Salary: £42,700-£53,700 + annual bonus

A global media and entertainment business is looking for a Senior Commercial Data Analyst to own analytics within a cross-functional team. This role blends technical capability with commercial thinking, supporting senior stakeholders across multiple regions and business lines.

What You’ll Do:

• Act as the go-to data expert for commercial teams, partnering with finance, sales, marketing and strategy

• Build dashboards and reporting tools (Power BI or similar) and support the rollout of a new BI platform

• Translate complex data into actionable commercial recommendations across pricing, product and market performance

• Connect data from multiple systems (CRM, finance systems, web analytics, etc.) to create a single source of truth

• Analyse deal value, product performance, customer behaviour and digital/content trends

• Support budgeting, forecasting and wider commercial planning

• Build automated reporting and enable self-serve analytics across the business

Example Projects:

• Migrating legacy reports into a modern BI platform and improving reporting structures

• Analysing financial, customer and digital data to inform commercial strategy for new product or venue launches

• Implementing forecasting and predictive analytics within dashboards

• Supporting CRM and commercial system integrations and helping drive adoption across global teams

• Creating reporting frameworks from scratch to track market trends, revenue performance and customer engagement

What You’ll Need:

• 3-5 years’ experience in analytics or commercial insights

• Strong SQL skills; Python experience desirable

• Experience building dashboards in Power BI, Tableau or similar, with end-to-end ownership

• Strong understanding of relational data structures and data modelling

• Confident communicator able to translate data into commercial action for non-technical stakeholders

• Proactive, curious, and comfortable operating as the sole data specialist in a team

Ideal Backgrounds:
Digital, media, retail, FMCG, tech or similar, ideally from smaller or growing data teams.

Interview Process:

1. Initial conversation (CV anonymised)

2. Technical task

3. Task presentation to commercial stakeholders

4. Final interview with senior leadership

Find out more and apply via the link below.

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Senior Product Marketing Manager – Global Education Organisation

Location: London (Hybrid – 2 days a week, Tues/Weds, occasional UK travel)
Salary: £60,000 + 10% bonus (up to £65k DOE)

About the Company

This global education organisation partners with leading universities to help international students access high-quality academic opportunities around the world. Through a range of tailored programmes and strategic partnerships, the company supports students on their journey to university study while helping institutions grow their global reach and reputation.

Operating across multiple international markets, the organisation combines deep sector expertise, data-driven insight, and a strong focus on student experience to deliver measurable impact for its partners.

The Opportunity

This is an exciting opportunity for an experienced Senior Product Marketing Manager to lead product positioning, go-to-market (GTM) strategy, and partner engagement across a diverse global portfolio.

You’ll define how new products and partnerships are launched, marketed, and communicated – shaping the way the organisation connects with students, partners, and stakeholders worldwide. The role blends strategic planning with hands-on execution and offers visibility across marketing, product, and commercial functions.

Key Responsibilities

• Define clear product positioning and market differentiation.

• Conduct competitive analysis and identify key product and partner value propositions.

• Lead go-to-market launches for new programmes, initiatives, and partnerships.

• Build and manage relationships with university or institutional partners.

• Collaborate cross-functionally with product, digital, and content teams to deliver impactful campaigns.

• Use market and performance insights to guide future product and marketing strategies.

• Bring commercial focus to marketing decisions, aligning activity with growth and revenue goals.

About You

• 5+ years’ experience in product marketing, ideally in education, professional services, or another global B2B/B2C organisation.

• Proven success leading cross-functional go-to-market strategies.

• Strong stakeholder management and relationship-building skills.

• Commercially minded, with the confidence to challenge assumptions and think strategically.

• Experience working in or alongside agile teams is advantageous.

• A self-starter who enjoys working across varied projects and influencing outcomes.

Why Apply?

• Strategic influence: Shape product and partner marketing across global markets.

• Collaborative culture: Join a supportive, cross-functional marketing team.

• Hybrid flexibility: 2 days a week in the London office, occasional UK travel.

• Meaningful impact: Contribute to an organisation that helps people achieve their educational and career ambitions.

To Apply:
If you’re a strategic, commercially focused product marketer looking for a global role with purpose, please send your CV via the link below

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Data Product Manager – AI / ML Platform (Fully Remote, UK)

Salary: £100,000 + benefits
Location: Fully Remote (occasional meet-ups in London)
Type: Permanent | Individual Contributor

We’re partnering with a market-leading AI-driven search intelligence company helping global enterprise brands optimise paid search performance and gain competitive insight through large-scale data and machine learning.

As a Data Product Manager, you’ll take ownership of the company’s data platform and ML ecosystem – shaping how massive-scale datasets (hundreds of millions of data points) power predictive models, data quality, and AI-driven insights.

The Opportunity

You’ll drive the roadmap and vision for a modern data platform underpinning core AI products, collaborating closely with data engineering and data science teams. This is a hands-on product role – ideal for someone who thrives at the intersection of data, ML, and product strategy.

Focus areas:

• Data integrity, scalability, and cost efficiency

• Managing complex data workflows and ML pipelines

• Ensuring model quality and performance

• Partnering cross-functionally across engineering, science, and product

Tech Stack: Spark, Cassandra, Redshift
AI / ML Use Cases: Predictive click models, data quality optimization, GenAI search applications

What You’ll Bring

• 5-10 years’ experience overall, with 3+ years in data engineering or data science

• Proven experience managing large-scale data platforms or pipelines

• Strong understanding of ML workflows and data architecture

• Product mindset – comfortable owning discovery, roadmaps, and delivery

• Excellent communicator – able to present technical concepts clearly to non-technical audiences

• Experience in SaaS, digital, or tech product environments

(Please note: This role is not suited to project managers or senior people managers – it’s a highly collaborative IC role.)

Why Apply?

You’ll join a collaborative, data-focused product team that values ownership, transparency, and smart execution. You’ll have a genuine opportunity to influence the evolution of an AI platform used by leading brands worldwide.

Next Steps:
If you’re a technically credible Product Manager passionate about data and ML – and ready to own a data platform roadmap in a high-impact environment – we’d love to hear from you.

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Senior Customer Analyst – CDM
Location: London
Salary: Up to £70,000 + discretionary bonus
Benefits: Pension up to 12% (8% employee contribution)

We are looking for a Senior Customer Analyst to join a leading global online marketplace. This role focuses on understanding, optimising, and growing the customer base through data-driven insights, particularly around loyalty, retention, and acquisition.

What You’ll Do:

• Analyse customer behaviour across the lifecycle using SQL and modern analytics tools.

• Deliver actionable insights through dashboards and storytelling (Tableau/Looker).

• Run and evaluate A/B and multivariate tests to inform marketing and growth strategies.

• Support growth targets by identifying opportunities to move customers through lifecycle stages.

• Collaborate with marketing and senior stakeholders to influence customer strategy.

What We’re Looking For:

• Advanced SQL and experience with a dashboarding tool.

• Proven experience with customer analytics projects: single customer view, segmentation, churn, acquisition, LTV.

• Desirable: Python for stats analysis, experience designing and running A/B tests.

• Experience in e-commerce or tech environments with modern data stacks is a plus.

Find out more and apply via the link below.

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Head of Strategic Analysis – 12 Month FTC (Maternity Cover)

Location: London (Hybrid – 3 days in office per week)
Salary: £89,000 + 20% bonus + excellent benefits

About the Role

An exciting opportunity has arisen for an experienced Head of Strategic Analysis to join a leading media and publishing organisation during a key period of transformation and growth. This pivotal role sits within the customer engagement and retention team, focusing on shaping pricing strategy, research modelling, scenario planning, and growth initiatives for a flagship subscription-based product.

You will work closely with stakeholders across marketing, finance, and commercial teams to drive strategic decision-making through insight-led analysis. The role involves managing a small team, refining pricing propositions, and ensuring competitiveness across the market while maximising customer acquisition, engagement, and retention.

Key Responsibilities

• Lead analytical and strategic projects to support subscription growth and retention.

• Develop and refine pricing and proposition strategies across multiple subscription tiers (digital, student, and specialist packages).

• Build financial and scenario models to assess the impact of pricing and engagement initiatives.

• Partner with marketing, product, and finance teams to ensure insights translate into actionable commercial outcomes.

• Deliver regular reporting and strategic recommendations to senior stakeholders.

• Mentor and guide a small team of analysts, fostering a culture of data-driven decision-making.

• Use customer data to identify opportunities for growth, retention, and improved lifetime value.

About You

You’re commercially minded, proactive, and analytical, with the ability to translate complex data into strategic business insight. You thrive in cross-functional environments and enjoy driving measurable growth through informed pricing and retention strategies.

Essential Skills & Experience:

• Strong experience in data analysis, commercial strategy, or pricing within a subscription-based or customer-centric business.

• Proven ability to turn data and insights into clear commercial recommendations.

• Excellent stakeholder management and communication skills, including experience working with senior leadership.

• Strong commercial acumen and strategic mindset – able to assess ROI, value, and growth potential.

• Advanced Excel and/or BI tool skills (Power BI, Tableau, etc.); SQL knowledge advantageous.

• Experience managing or mentoring analysts or small teams.

Desirable:

• Background in media, publishing, or subscription-based industries.

• Experience in retention, customer lifecycle management, or econometrics.

What’s on Offer

• £89,000 salary + 20% annual bonus

• Hybrid working – 3 days in the office (London)

• Private medical insurance

• Generous maternity/paternity leave

• Discounted gym memberships & wellbeing benefits

• 25 days holiday + bank holidays + volunteering days

• Access to a wide range of professional training and LinkedIn Learning

Find out more and apply via the link below.

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Data & Insights Analyst – Marketing Intelligence

We’re looking for a curious and commercially minded Analyst to join a growing data and insights team within a global marketing group. This is a great step for someone who’s moved beyond basic reporting and wants to work more strategically with well-known consumer brands.

What You’ll Do

• Turn marketing and digital performance data into meaningful insights for clients

• Build dashboards and reports (mostly in Excel and data visualisation tools)

• Work across paid media, web analytics and campaign data (GA4, Google Ads, Adobe Analytics, etc.)

• Present findings back to internal teams and clients in a clear, story-led format

• Support wider marketing, tech, and media teams with data-driven recommendations

What We’re Looking For

• Around 18 months-2 years’ experience in a marketing, media, or analytics role (agency experience ideal)

• Comfortable working with digital performance metrics and marketing platforms

• Strong Excel skills and familiarity with dashboard tools (Power BI, Looker Studio, etc.)

• Able to pick up client context quickly and translate numbers into actionable insights

• No advanced coding needed (Python/SQL not required – training provided)

Nice to Have

• Familiarity with social listening or performance marketing tools

• Experience building Excel-based dashboards or client reports

• Confidence communicating with stakeholders or clients

The Team & Environment

• Collaborative data team of around 8 people

• Works closely with account managers and media teams

• Mix of financial services, telecoms, and consumer clients

• Opportunity to grow into more strategic analytics and marketing measurement

Salary & Location

• Salary circa £35,000-£40,000 depending on experience

• UK-based, flexible working with some travel to London or regional offices

Find out more and apply via the link below.

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Data Analyst (Digital & Marketing Focus)

London – Hybrid (2 days in office, Tues & Thurs – Elephant & Castle)
Up to £50,000 + Benefits

The Company

Our client is a specialist digital and marketing analytics consultancy, established in 2016 and now recognised as a trusted partner for major asset managers and digital-first businesses. They help clients transform complex data into actionable insights that improve sales performance and optimise marketing ROI.

With a close-knit team of around 10, they combine cutting-edge analytics with strategic expertise. This is a fantastic opportunity to join a growing consultancy where your work will have real visibility and impact.

The Role

They are seeking a mid-level Data Analyst with strong technical skills and commercial awareness. This is a client-facing position where you’ll be responsible not just for the numbers, but for turning data into clear, strategic recommendations.

You’ll work directly with senior stakeholders, gain exposure to high-profile clients, and take on varied projects across digital and marketing analytics.

Responsibilities

• Extract, join, and transform datasets from multiple platforms (SQL, GA, marketing tools).

• Build and maintain dashboards and reports (Looker Studio, Tableau or equivalent).

• Apply statistical methods across attribution, MMM, LTV, churn, propensity and clustering models.

• Present insights and recommendations confidently to clients via Zoom and face-to-face.

• Support client strategy by identifying opportunities to optimise spend and improve ROI.

Candidate Profile

• 2-4 years’ experience in analytics (digital, marketing or consultancy background desirable).

• Strong SQL and Python skills, with a good grounding in statistics.

• Experience with Google Analytics or Adobe Analytics.

• Hands-on dashboarding experience (Looker Studio, Tableau or similar).

• Comfortable working directly with clients and explaining insights to non-technical stakeholders.

• 2:1 degree or above in a STEM or Social Sciences subject (or equivalent experience).

Package & Benefits

• Salary up to £50,000 (depending on experience).

• Hybrid working – 2 days in the office (Tues & Thurs, Elephant & Castle).

• 25 days holiday, state pension, profit share scheme.

• Direct exposure to senior leadership, with clear progression opportunities.

Interview Process

1. Introductory interview with senior team members.

2. Technical assessment (SQL + GA data integration & dashboard creation).

3. Final stage with leadership and chance to meet the wider team.

Find out more and apply via the link below.

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Account Director, Customer Success

£90,000-£100,000 base + strong commission structure (OTE ~25-30%)
London – Hybrid (3 days in office, incl. Mondays)

A high-growth, insight-led technology business is looking for a Account Director, Customer Success to join their expanding commercial team.

Working at the intersection of customer intelligence and AI-driven analytics, the company partners with major enterprise brands to help unlock value from qualitative data – across customer experience, brand insight, and audience research.

This role sits at the heart of client strategy and commercial growth, focused on delivering long-term value while identifying new revenue opportunities through upsells, renewals, and strategic expansion.

What You’ll Be Doing

• Own the commercial success of a portfolio of key enterprise accounts

• Identify and develop upsell, cross-sell and renewal opportunities

• Support client retention by aligning insights with strategic business goals

• Partner with account teams to deliver on client objectives and usage growth

• Lead QBRs and key stakeholder engagements, including economic buyers

• Track and report usage, churn, NPS, and account health metrics internally

What You’ll Bring

• 6-12 years’ experience in Customer Success, Strategic Accounts or Client Services

• Background in SaaS, insights, CX, or agency-side roles preferred

• Strong commercial acumen and ability to identify and nurture sales opportunities

• Confidence engaging with senior client stakeholders and navigating complex orgs

• Experience working across long-term enterprise contracts

• Familiarity with methodologies like SPIN or MEDDICC is a bonus

Why Apply?

• Senior-level role with commercial ownership across global accounts

• Competitive base salary (£90-100k) plus high-earning commission potential (~25-30% bonus)

• Collaborative team culture with strong leadership and a clear growth trajectory

• Hybrid working (3 days in a modern Central London office, incl. Mondays)

• 24 days holiday, pension, cycle-to-work scheme

• Opportunity to work with leading household-name clients across sectors

Interview Process

1. Introductory chat with senior leadership – informal CV walkthrough and fit

2. Second stage with team lead – competency and scenario-based discussion

3. Final stage – Account planning exercise and stakeholder engagement simulation

If you’re a commercially minded operator with a passion for client success and business growth, this is an exciting opportunity to join a high-performing team at a pivotal stage of scale.

Find out more and apply via the link below.

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Marketing Analyst
Location: London
Salary: Up to £60,000 + discretionary bonus
Benefits: Pension up to 12% (8% employee contribution)

We are looking for a Marketing Analyst to join a leading global online marketplace. This role focuses on analysing market trends, competitor activity, and pricing data to provide actionable insights that inform strategy and commercial decisions.

What You’ll Do:

• Analyse market, pricing, and competitor data to identify trends and performance opportunities.

• Query large datasets using SQL (BigQuery) and integrate data from multiple sources, including third-party and open data.

• Provide story-driven insights and recommendations to support strategic decision-making.

• Support Proof of Concepts (POCs) and pilot analytical models, helping scale successful approaches.

• Evaluate competitor promotions and market changes to assess impact on market share.

• Contribute to regular market reporting to inform leadership on pricing dynamics and market movement.

• Collaborate with managers and wider teams to embed best practices and translate insights into action.

Example Projects:

• Competitor Impact Analysis: Measure effects of promotions by other platforms on market share and customer switching.

• Market Inflation Tracker: Analyse the impact of inflation and supply costs on pricing and demand.

• POC Evaluation: Test pilot analytics projects and turn learnings into recommendations.

• Pricing Sensitivity Study: Identify how competitor price changes affect order frequency and retention.

• Monthly Market Report: Summarise competitor movements, new entrants, and macroeconomic trends.

Requirements:

• 2-4 years’ experience in data analytics or commercial insights, ideally in tech, e-commerce, food delivery, or retail.

• Strong SQL skills (BigQuery preferred).

• Skilled in storytelling with data, connecting numbers to commercial context.

• Curious, commercially minded, and interested in market trends and consumer behaviour.

• Comfortable managing multiple projects simultaneously.

• London-based preferred (not required) to support market awareness and competitor understanding.

Application Process:

1. SQL test on Kaggle – 2 live-coding questions, interactive.

2. Skills-based interview – 45 minutes (30 minutes questions, 15 minutes candidate questions).

3. Case study/data analysis presentation – face-to-face in the office.

Find out more and apply via the link below.

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