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Product Manager Fintech Onboarding and Growth
London Hybrid three days onsite Tuesday to Thursday. £90,000 to £110,000 plus bonus and benefits.
This role sits at the heart of customer growth for a scaled fintech product. You will own onboarding and activation journeys, shaping how users first experience a digital wallet and ensuring compliant, friction light entry into the product.
The Company
They are a global consumer platform expanding rapidly into financial services. Their digital wallet and payments product is live across multiple markets and continues to scale, supported by cross functional teams distributed internationally.
The Role
You will own the end to end onboarding and activation experience, with a strong focus on conversion, compliance, and early engagement.
Key responsibilities include:

• Designing and optimising onboarding journeys from sign up to activation
• Owning KYC and identity verification flows within a regulated environment
• Analysing funnel performance and identifying drop off points
• Driving improvements to activation and early lifecycle engagement metrics
• Supporting product launches and localisation for new markets
• Working closely with engineering, design, and compliance teams

Your Skills and Experience

• Proven product management experience in fintech or regulated B2C products
• Ownership of onboarding, activation, or growth focused journeys
• Hands on experience with KYC or identity verification processes
• Strong analytical capability across funnels, conversion, and user behaviour
• Experience working on mobile products at meaningful scale

What They Offer

• Salary of £90,000 to £110,000 plus a discretionary bonus
• Equity through stock options
• Private healthcare and dental cover
• Hybrid working with three days per week in the London office
• Opportunity to shape growth strategy within a global fintech product

How to Apply
Apply now to find out more about this role and how it could fit your next career move.

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Title: Research Engineer, Data

Location: USA Remote

Compensation: Up to $400k + Equity

We’re partnered with a well-funded AI research company focused on building next-generation multimodal models for media and interactive experiences. Their work spans cutting-edge generative systems and is increasingly moving toward real-time, interactive environments, pushing beyond static outputs into dynamic, AI-driven applications.

This is a high-impact, research-meets-engineering role focused on the data that powers advanced AI systems. You’ll own how models learn, designing datasets, running experiments, and building data pipelines that directly shape model capabilities across a wide range of applications.

What You’ll Do

• Design multimodal, multitask datasets to unlock new model capabilities
• Run controlled experiments to understand how data impacts model performance
• Build and scale pipelines for synthetic data generation, filtering, and quality control
• Define evaluation frameworks and benchmarks to measure real-world model improvement
• Partner with cross-functional teams to translate product goals into data strategies

Requirements

• 4+ years of experience in machine learning, ideally with a data-centric focus
• Experience working with large multimodal datasets and generative models
• Strong intuition for how data quality and composition impact model behavior
• Experience across the full ML lifecycle, from data to training to evaluation
• Proficiency with ML frameworks such as PyTorch or JAX
• Experience with distributed systems or compute tools (e.g., Ray, Kubernetes)
• Strong interest in advancing next-generation AI systems

Nice to Have

• Experience with synthetic data generation or data curation at scale
• Background working on multimodal or video-based models
• Exposure to evaluation and benchmarking for generative systems

If you’re interested in shaping the data that defines what AI models can learn and do, this is a unique opportunity to work at the forefront of multimodal AI.

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Title: Research Engineer, GPU

Location: USA Remote

Compensation: Up to $400k + Equity

We’re partnered with a well-funded AI research company focused on building next-generation multimodal models for media and interactive experiences. Their work spans cutting-edge generative systems and is increasingly moving toward real-time, interactive environments, pushing beyond static outputs into dynamic, AI-driven applications.

This is a deeply technical, high-impact role focused on making large-scale AI systems faster, more efficient, and capable of running in real time. You’ll work across the stack, from low-level GPU kernels to distributed training systems, directly influencing what is computationally possible for next-generation AI models.

What You’ll Do

• Optimize training throughput across large GPU clusters, improving efficiency and utilization
• Implement techniques such as mixed precision (FP8, BF16), memory-efficient attention, and checkpointing
• Design and scale distributed training systems (tensor parallelism, FSDP, multi-node setups)
• Profile and optimize inference pipelines for real-time multimodal generation
• Improve latency through CUDA graphing, KV cache optimization, and operator fusion
• Contribute across the stack, from kernel-level optimization to system-level architecture

Requirements

• 4+ years of experience in systems engineering, ML infrastructure, or performance optimization
• Strong experience with GPU programming (CUDA, Triton, or similar)
• Experience with distributed systems and large-scale training (NCCL, model parallelism)
• Familiarity with ML framework internals such as PyTorch or JAX
• Experience with mixed or low-precision techniques (FP8, INT8, BF16)
• Proven experience building and operating scalable, fault-tolerant training systems
• Strong interest in pushing the limits of performance for cutting-edge AI systems

Nice to Have

• Experience with compiler optimizations or model compilation (e.g., PyTorch compile)
• Background working on large multimodal or generative models
• Exposure to real-time inference systems

If you’re interested in working on the systems that enable next-generation AI models to train faster and run in real time, this is a rare opportunity to operate at the cutting edge of research and infrastructure.

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Title: Staff AI Engineer

Location: Remote, United States

Compensation: Up to $280,000 + Equity

We’re partnered with a high-growth, mission-driven SaaS company transforming how businesses build and maintain trust, with AI at the core of their next phase of innovation. The platform is redefining how critical enterprise workflows are automated, particularly in areas where reliability, auditability, and security are essential.

This is a high-impact role where you will help define how AI is architected across the company. You won’t just be building features. You’ll make foundational decisions around systems, evaluation, and long-term technical direction, working across LLMs, retrieval systems, and agent-based workflows in production environments.

What You’ll Do

• Design and own production AI systems end-to-end, including LLM pipelines, retrieval systems, and orchestration layers
• Build and scale RAG systems, reranking pipelines, and vector-based search infrastructure
• Define evaluation frameworks to measure retrieval quality, reasoning accuracy, and system performance
• Analyze production behavior, identify failure modes, and drive improvements based on data
• Make key architectural decisions across model infrastructure, tooling, and workflows
• Partner closely with product, platform, and domain teams to translate complex requirements into scalable systems
• Lead best practices for building reliable, observable, and cost-efficient AI systems

Requirements

• 10+ years of software engineering experience, including 3+ years working on ML or AI systems
• Proven experience owning and deploying production LLM systems
• Strong background in RAG, embeddings, reranking, and vector databases (e.g., Pinecone, FAISS, Chroma)
• Experience designing evaluation systems and improving models through quantitative analysis
• Strong Python skills, with solid software engineering fundamentals
• Experience making architectural decisions that influence team or org direction
• Strong understanding of production systems, including reliability, observability, and cost tradeoffs
• Ability to break down ambiguous problems and operate with a high degree of ownership
• Clear communication skills and experience working cross-functionally

Nice to Have

• Experience in regulated domains such as compliance or security
• Familiarity with data platforms or analytics tooling
• Experience with orchestration frameworks (e.g., Temporal, Airflow)
• Exposure to LLM evaluation platforms or tooling
• Contributions to open source, research, or technical communities

If you’re interested in shaping how AI systems are built, evaluated, and deployed in high-trust environments, this is an opportunity to have direct influence on both technical direction and real-world impact at a fast-growing company.

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Title: Senior AI Engineer

Location: Remote, United States

Compensation: Up to $240,000 + Equity

We’re partnered with a high-growth, mission-driven SaaS company transforming how businesses build and maintain trust, with AI at the core of their next phase of innovation. The platform is redefining how critical enterprise workflows are automated, particularly in areas where reliability, auditability, and security are essential.

This is a high-impact role where you will help define how AI is architected across the company. You won’t just be building features. You’ll make foundational decisions around systems, evaluation, and long-term technical direction, working across LLMs, retrieval systems, and agent-based workflows in production environments.

What You’ll Do

• Design and own production AI systems end-to-end, including LLM pipelines, retrieval systems, and orchestration layers
• Build and scale RAG systems, reranking pipelines, and vector-based search infrastructure
• Define evaluation frameworks to measure retrieval quality, reasoning accuracy, and system performance
• Analyze production behavior, identify failure modes, and drive improvements based on data
• Make key architectural decisions across model infrastructure, tooling, and workflows
• Partner closely with product, platform, and domain teams to translate complex requirements into scalable systems
• Lead best practices for building reliable, observable, and cost-efficient AI systems

Requirements

• 6+ years of software engineering experience, including 3+ years working on ML or AI systems
• Proven experience owning and deploying production LLM systems
• Strong background in RAG, embeddings, reranking, and vector databases (e.g., Pinecone, FAISS, Chroma)
• Experience designing evaluation systems and improving models through quantitative analysis
• Strong Python skills, with solid software engineering fundamentals
• Experience making architectural decisions that influence team or org direction
• Strong understanding of production systems, including reliability, observability, and cost tradeoffs
• Ability to break down ambiguous problems and operate with a high degree of ownership
• Clear communication skills and experience working cross-functionally

Nice to Have

• Experience in regulated domains such as compliance or security
• Familiarity with data platforms or analytics tooling
• Experience with orchestration frameworks (e.g., Temporal, Airflow)
• Exposure to LLM evaluation platforms or tooling
• Contributions to open source, research, or technical communities

If you’re interested in shaping how AI systems are built, evaluated, and deployed in high-trust environments, this is an opportunity to have direct influence on both technical direction and real-world impact at a fast-growing company.

To Apply for this Job Click Here

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Senior SEO Executive

Derbyshire (Hybrid, 4 days onsite)

Up to £33,000

This is an exciting opportunity to step into a high‑impact Senior SEO Executive role where you will shape organic performance for a major consumer brand. If you are looking for a hands‑on position with real responsibility, strong cross‑team collaboration, and the chance to elevate a well‑known digital estate, this could be the ideal next move.

The Company

They are a large, fast‑moving retail group with a significant digital presence and a commitment to ongoing improvement across their online platforms. With a clear focus on growth, they invest heavily in their digital performance and value those who bring fresh ideas and a proactive mindset. You will join a business that encourages initiative, supports development, and operates with an ambitious commercial vision.

The Role

You will support the optimisation and growth of the SEO channel, working closely with digital, content, and technical teams. Your responsibilities will include:

* Making recommendations to improve organic visibility and rankings

* Optimising site architecture, content, and internal linking to drive performance

* Collaborating with content teams to produce optimised category pages, landing pages, blogs, and buying guides

* Conducting technical SEO audits using tools such as Screaming Frog or Botify

* Using platforms like SEMrush or Pi Datametrics to identify opportunities and monitor performance

* Supporting link‑building strategies and carrying out backlink audits

* Reporting on SEO performance and highlighting key insights

Your Skills and Experience

* Strong commercial experience in an SEO‑focused role, either in‑house or agency

* Confident with keyword research, on‑page optimisation, and SEO analysis

* Comfortable presenting performance updates to stakeholders

* Skilled in managing multiple tasks and deadlines in a fast‑paced environment

* Proactive approach to problem‑solving and continuous improvement

* Experience collaborating on content strategies and understanding SEO’s role in broader digital activity

What They Offer

* Salary up to £33,000

* Hybrid working model with structured onsite collaboration

* Access to professional development opportunities across digital and marketing

* A supportive environment that rewards initiative and impact

How to Apply

If this Senior SEO Executive role sounds like the right next step for you, apply today and explore the opportunity further.

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SEO Manager

Salary: Up to £45000

Hybrid – Derbyshire (4x days per week)

This is a great opportunity to take ownership of SEO performance for a fast‑paced, consumer‑focused brand. You will play a key role in shaping their organic strategy, driving technical improvements, and accelerating growth across a competitive ecommerce landscape.

The Company

They are a well‑established retail organisation with a strong digital presence and a large, high‑traffic ecommerce operation. As they continue to scale, SEO is central to their growth plans, and you will join a digital function that is investing heavily in capability, tooling, and data‑driven decision‑making. They value initiative, curiosity, and a proactive approach to optimisation.

The Role

* Lead the SEO roadmap and deliver on key performance objectives across technical, content and on‑site optimisation.

* Use Screaming Frog, Search Console and other tools to identify opportunities and resolve issues.

* Conduct keyword research, analyse site performance, and develop actionable strategies that drive revenue and visibility.

* Collaborate with content, trading and wider digital teams to improve site architecture and user experience.

* Monitor KPIs, report on performance, and highlight opportunities for continuous improvement.

* Stay current with SEO best practices and contribute to wider channel development.

Your Skills and Experience

* Strong commercial experience working with Screaming Frog and Google Search Console.

* Background in retail, ecommerce or digital agency environments.

* Confident across technical SEO, site audits, crawl analysis and on‑site optimisation.

* Comfortable using data to inform decisions and prioritise projects.

* Experience improving organic performance for large or complex websites.

* Ability to work collaboratively with cross‑functional teams.

What They Offer

* Salary up to £45,000.

* A hybrid setup with four days a week in their Derbyshire office.

* The chance to shape and develop the SEO function in a high‑growth digital environment.

* Exposure to large‑scale ecommerce performance challenges and opportunities for career

progression.

How to Apply

If this sounds like the right next step in your SEO career, apply now to find out more.

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Product Analyst
Up to £85,000 + Bonus
Hybrid – London (2x days per week)

This is an exciting opportunity to join a fast‑growing digital organisation where data sits at the heart of every decision. You will play a pivotal role in shaping how product teams understand user behaviour, influence product strategy, and unlock opportunities that drive measurable impact.

The Company
They are a consumer-focused digital business committed to creating meaningful experiences for their members. With a mission-driven culture and a period of rapid expansion, they are investing heavily in data, analytics, and experimentation. Collaboration, innovation, and continuous learning are central to how they operate. They offer a flexible hybrid environment with a strong focus on development and wellbeing.

The Role
* Use quantitative analysis and data storytelling to uncover user behaviours and inform product strategy.
* Generate hypotheses, support experiments, and identify new opportunities.
* Define and maintain key product metrics, ensuring clarity and alignment across teams.
* Build dashboards and self-serve tools that empower stakeholders.
* Conduct deep-dive analyses to influence strategic decisions.
* Contribute to shared knowledge and promote best practices across data teams.

Your Skills and Experience
* Strong commercial experience in analytical roles within digital products.
* Proficient in SQL and analytical tools such as Python or R.
* Skilled in dashboarding with tools like Looker, Tableau, or similar.
* Confident translating complex data into actionable insight for varied audiences.
* Curious, collaborative, and proactive in solving problems.

What They Offer
Competitive salary, hybrid working, comprehensive benefits, generous leave, wellbeing support, and a culture that champions growth.

How to Apply
To register your interest, send your CV or apply below.

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