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Software Engineering Manager, Growth

Location: Must be U.S. based. Strong preference for candidates based in EST or able to work core EST hours.

Role Overview

A mid-size, high-growth visual collaboration software company is seeking a Software Engineering Manager to lead its Growth Engineering team. This leader will own the experimentation engine that drives acquisition, conversion, and lifetime value across a product-led, consumer-driven motion.

Key Responsibilities

• Lead a small, high-impact team of 5 engineers focused on product-led growth and experimentation across the funnel.
• Own the growth engineering roadmap across acquisition, conversion, retention, and LTV in close partnership with Product, Marketing, and Data.
• Design, implement, and analyze A/B and multivariate experiments end-to-end, translating learnings into clear product and roadmap decisions.
• Scale the existing experimentation and A/B testing platform to handle roughly 10x current experiment volume.
• Guide the team in building and shipping full‑stack features (Node.js/TypeScript preferred) that improve signup, onboarding, activation, engagement, and monetization.
• Review technical specs, architecture proposals, and PRs, providing pragmatic, constructive feedback that unblocks engineers.
• Contribute hands-on code when appropriate, particularly in early-stage projects or to frame complex technical work.
• Own and optimize CAC for self‑serve acquisition in partnership with Growth and Marketing (paid channels, referrals, organic/SEO).
• Instill a data‑driven culture: define funnel metrics, ensure robust instrumentation, and set guardrails for safe experimentation.
• Coach and develop engineers through 1:1s, feedback, and career support, helping them grow while maintaining a high‑ownership culture.

Requirements

• 5+ years of professional software engineering experience shipping production code, ideally in a modern Node.js / TypeScript environment.
• 2+ years of engineering management or formal tech-lead experience with people management responsibilities.
• Strong full‑stack foundation; comfortable diving into frontend, backend, and data layers to support the team.
• Deep understanding of growth levers: acquisition, activation, conversion, retention, and LTV.
• Demonstrated experience optimizing funnels and running experiments with clear, measurable business impact.
• Proven ownership of A/B tests from hypothesis and design through implementation, rollout, and results interpretation.
• Experience partnering with Marketing/Growth to manage and optimize CAC across self-serve channels.
• Strong technical judgment and code quality bar; able to review specs and PRs and communicate trade‑offs clearly.
• Excellent communication skills and cross‑functional collaboration experience in a SaaS or product-led environment.

Nice to have

• Experience with Stripe integrations or other similar billing/subscription platforms.
• Background in PLG environments or experimentation platforms focused on conversion optimization.
• Prior experience in visual collaboration, productivity, or adjacent B2B SaaS products.
• Familiarity with experimentation tooling, feature flagging, and growth analytics platforms.

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Senior Technical Product Manager, AI/LLM Platform

Location: Hybrid – 2-3x per week in Boston, MA

About the Role

We are hiring a Senior Product Manager to lead the development of AI platform products supporting pharmaceutical R&D. This role focuses on agentic AI systems, LLM integrations, and RAG pipelines that enhance scientific research and decision-making. The ideal candidate has a technical background, having previously worked as a software, ML, or data engineer, and a strong record of building and launching enterprise AI products from 0 to 1.

Responsibilities

• Define and execute product roadmaps for LLM, RAG, and agentic AI capabilities supporting research and data-driven decisions.
• Work with engineering, data science, and research teams to integrate AI solutions into R&D workflows.
• Deliver platform products that scale efficiently, ensure compliance, and drive measurable adoption.
• Translate complex requirements into clear technical and business specifications.
• Lead go-to-market planning, stakeholder alignment, and post-launch iteration.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Science, or Engineering.
• At least 2 years of product management experience with prior technical experience as a software, ML, or data engineer.
• Strong understanding of LLM architectures, RAG systems, MCP frameworks, and agentic AI.
• Proven track record delivering enterprise AI products or platforms.
• Experience with GCP and tools such as Vertex AI, LangChain, and vector databases.
• Excellent communication and cross-functional collaboration skills.

Preferred Experience

• Familiarity with pharma, life sciences, or biomedical data environments.
• Knowledge of compliance standards such as GxP or HIPAA.
• Experience with model governance and AI platform evaluation.

Benefits

• Competitive salary with annual performance bonus.
• 401(k) plan with company match.
• Comprehensive medical, dental, and vision coverage.
• Generous paid time off and holidays.
• Public company stock options and long-term incentive opportunities.

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Senior Analytics Engineer

Location: Northern Indianapolis (Hybrid, 2-3 days onsite)

About the Company

A fast-growing direct-to-consumer ecommerce brand is expanding its analytics capabilities to support continued growth. The team is modernizing its data stack and building scalable infrastructure to enable smarter, faster decisions across the business.

About the Role

The Senior Analytics Engineer will design and maintain data pipelines, models, and dashboards that power key insights for marketing, supply chain, and executive teams. This person will play a central role in the company’s transition to a BigQuery-based data warehouse and Looker for BI.

Key Responsibilities

• Build and manage ETL pipelines using Airbyte and dbt (or similar tools)
• Develop clean, efficient data models in BigQuery
• Create and maintain Looker dashboards for business stakeholders
• Analyze ecommerce and Shopify data to identify opportunities and trends
• Ensure data quality, consistency, and accessibility across systems
• Partner with teams to translate business needs into data solutions

Required Qualifications

• 4+ years of experience in analytics engineering, data engineering, or BI development
• Strong proficiency in SQL, Python, and data modeling (dbt or similar)
• Experience with Looker or another BI tool (e.g., Tableau, Power BI)
• Hands-on experience with BigQuery and PostgreSQL
• Familiarity with modern ETL tools (Airbyte preferred)
• Excellent communication and collaboration skills

Nice to Have

• Ecommerce or Shopify analytics experience
• Exposure to advanced analytics or data science workflows

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Senior Software Developer

Guildford (1.5 days a week on site)
Salary £90,000 plus benefits.

This is an exciting opportunity to join a growing engineering team working on complex, meaningful problems across aviation, defence, and public sector environments. You will work on end to end software delivery, solve challenging optimisation and modelling problems, and contribute to high impact products used by major organisations.

The Company
They are a specialist consultancy building bespoke software products that integrate directly into their customers’ environments. Their work focuses on solving high value technical challenges that clients cannot resolve internally, and they prioritise innovation and quality over volume. With rapid growth and a strong pipeline of diverse projects, they offer autonomy, variety, and the chance to work on impactful systems with real world application.

The Role
* Deliver full stack software solutions across backend and frontend.
* Design and build features using Java, Spring and a modern frontend framework.
* Collaborate with data scientists and engineers on optimisation and modelling projects.
* Contribute to engineering best practice across the development function.
* Take ownership of work and drive delivery with minimal oversight.
* Support problem solving, design discussions and code reviews.

Your Skills and Experience
* Strong commercial experience with Java and Spring for backend development.
* Experience with Angular or another modern frontend framework such as React or Vue.
* Confident working across the full stack, including cloud based environments.
* Familiarity with Azure or Terraform is beneficial but not essential.
* Ability to write high quality code with a focus on maintainability and security.
* Comfortable working independently and collaborating in small teams.
* Experience mentoring others is useful but not required.

What They Offer
* Salary of £90,000.
* Hybrid working with 1.5 days per week in the office.
* 5 percent pension match.
* 25 days holiday plus bank holidays, with the option to buy more.
* Five days paid training per year.
* Five days paid charity work per year.
* Up to one month per year working remotely from abroad.
* Annual pay rise and performance based bonus.
* A variety of high impact projects across multiple domains.

How to Apply
If this Senior Software Developer role in Guildford sounds like the right next step, apply today.

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Junior Digital Product Analyst
London,Hybrid
Salary up to £38,000

This is an exciting opportunity to join a high‑growth digital team where you will shape how product analytics is delivered across web and app experiences. If you enjoy solving problems, working with data, and influencing digital journeys at scale, this role offers the ideal platform to grow.

The Company
They are a large, multi‑brand retail group operating well‑known consumer brands across sports, fashion and lifestyle. With a fast‑paced culture and ongoing digital transformation, they offer the chance to work on high‑impact products that reach millions of customers. Their digital function is expanding, giving you exposure to a broad range of stakeholders, complex data environments and continuous progression opportunities.

The Role
You will help build and mature their product analytics capability, supporting data‑driven decisions across teams. Key responsibilities include:
* Conducting funnel analysis across key customer journeys such as checkout and conversion flows.
* Building dashboards and reporting used by product, UX, engineering and senior leaders.
* Using SQL to extract, manipulate and analyse data from multiple sources.
* Evaluating the performance of web and app features and identifying optimisation opportunities.
* Supporting the development of analytics standards, documentation and KPIs.
* Partnering with cross‑functional teams to translate insights into measurable product improvements.

Your Skills and Experience
* Strong analytical thinking with a solid understanding of digital and website analytics.
* Proficient in SQL and able to work independently with guidance.
* Experience using dashboarding tools such as Power BI or Tableau.
* Confident working with Excel for analysis and reporting.
* Ability to explain findings clearly to both technical and non‑technical audiences.
* Comfortable working in a fast‑moving environment with evolving priorities.

HOW TO APPLY:

Apply by sending your CV to Joe by the link below

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DATA LEAD UP TO £50,000 REMOTE-FIRST (OCCASIONAL TRAVEL TO FOLKESTONE – ONCE A MONTH OR ONCE A QUARTER)

A strong opportunity for a hands-on Data Lead to join an award-winning digital marketing agency with a 15-year track record and a client base of 50+ brands. If you thrive in fast-paced environments, love getting into the detail of tagging and tracking, and can translate data into clear recommendations – this is worth a look.

THE COMPANY Our client is an established, award-winning digital media agency covering SEO, PPC, Social, Content, Digital PR and Data. They work with well-known brands across travel, tech and retail – managing complex, multi-site digital ecosystems for clients at scale. The data team is small and focused, which means your work has direct visibility and real impact across the business.

THE ROLE

• Lead on tagging and tracking implementation across client websites – some clients operate 240+ sites, so pace and precision matter
• Troubleshoot and scope server-side tagging requirements
• Manage BigQuery set-ups and translate data into visualised outputs via Looker
• Provide consultative analysis for clients – turning data into clear, actionable recommendations
• Support CRO and UX measurement frameworks
• Split roughly 65% implementation, 20-30% measurement strategy, remainder analysis and insight

YOUR SKILLS AND EXPERIENCE

• GA4 and GTM are essential – hands-on, demonstrable experience required
• Server-side tagging experience is strongly preferred
• Looker is the primary visualisation tool; Power BI or Tableau also considered
• SQL and BigQuery experience is a strong plus
• CRO and UX experience is ideal
• Agency-side background is needed – comfort managing multiple clients simultaneously is key
• Able to handle high volume, fast-moving workloads across varied client sets

SALARY AND BENEFITS

• Up to £50,000 base salary
• Remote-first – occasional travel to Folkestone (monthly or quarterly)
• Work across a diverse portfolio of 50+ clients
• Fast-paced, high-ownership role within a focused data team
• Autonomy to lead on implementation and shape how data is used across client accounts

HOW TO APPLY Please register your interest by sending your CV to Mohammed Buhariwala through the ‘Apply’ link or directly to

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DATA SCIENTIST

REMOTE

UP TO £85,000

A fast-growing fintech is seeking a Data Scientist to join their risk and analytics team. This is a rare opportunity to work on complex, high-impact problems in merchant risk, fraud, and credit analytics, helping shape solutions that directly affect the business and its customers.

THE ROLE

You’ll be joining a team that’s building things from scratch, tackling novel challenges with both analytical rigour and commercial insight. Day-to-day, you’ll:

• Monitor and assess partner portfolios using advanced analytics and, where needed, account-level reviews to understand both existing and emerging risks.
• Build, implement, and track predictive rules and models to improve understanding of merchant risk.
• Collaborate with payments firms and insurers to understand their requirements and shape data-driven solutions for the market.

REQUIREMENTS

• 2-5 years’ experience in a quantitative credit risk, fraud, or related analytical role.
• Strong technical skills: Python for analysis, SQL for data extraction/manipulation.
• Experience with supervised models (logistic regression, gradient boosting).
• Self-starter mentality with the ability to work autonomously and proactively solve problems.
• Motivated by making tangible impact on the business and customer outcomes.

HOW TO APPLY

Please send CV below or

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Staff Data Scientist – Paid Marketing
London – x2 days a week
Up to £113,000 plus bonus and benefits
This is a fantastic opportunity to join a high‑growth, product‑led business where data drives every marketing decision. You will shape how performance is measured across a major digital brand, building new attribution and LTV capabilities that directly influence strategy.

The Company
They are a fast‑scaling, community‑focused digital marketplace with a strong app footprint and a mission‑led culture. Their marketing team is expanding and investing heavily in data to improve performance across paid and brand channels. With an international user base and a modern tech stack, they offer the chance to innovate, experiment, and deliver impact at scale.

The Role
You will join the marketing analytics function, owning attribution modelling and the measurement framework that powers paid marketing decisions.
Key responsibilities include:
* Leading the development, maintenance, and optimisation of attribution models for sign‑ups and paid activity.
* Building measurement capabilities, including CLV and LTV modelling for strategic forecasting.
* Delivering complex, in‑depth analysis to explain performance and guide future investment.
* Partnering with stakeholders across paid, brand, and wider marketing teams.
* Driving the measurement roadmap and ensuring clarity on key metrics across the business.
* Providing BAU support while also setting long‑term direction.

Your Skills and Experience
You will bring:
* Strong SQL skills.
* Excellent Python capability for developing analytics and attribution models.
* Proven experience in marketing analytics within an app‑based or digital‑first environment.
* Ability to communicate complex measurement concepts clearly to non‑technical stakeholders.
* Experience owning attribution frameworks and performance measurement processes.

What They Offer
* Up to 113k plus benefits

How to Apply
If you are passionate about building best‑in‑class measurement for a fast‑moving digital brand, apply today to find out more.

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