Location: London, United Kingdom (Hybrid) - 2 days per week onsite in London office

Hybrid | Full-time

Compensation: Competitive Compensation

We are hiring on behalf of our client, a pioneering scale-up in the UK credit data market, is seeking a early-career Product Engineer to build and maintain the Go services that power their real-time B2B APIs on AWS.

In this role, the successful candidate will join a collaborative and highly productive engineering team, reporting directly to the CTO. Working alongside and receiving mentorship from senior engineers, the candidate will take full ownership of real features end-to-end from day one. The role emphasizes a strong product mindset—focusing on user impact, problem-solving, and robust production design—alongside high standards for code quality and the responsible, effective use of modern AI tooling to complement engineering judgment.

Key Responsibilities:

Location: London, United Kingdom (Hybrid) - London based - some office presence / hybrid

Hybrid | Full-time

Compensation: £50K - £60K

We are hiring on behalf of our client, a dynamic financial technology organization who is seeking a Linux Desktop Support Engineer to join its Site Reliability Engineering (SRE) team in London. This position focuses on managing internal devices, supporting workplace technology, and maintaining office infrastructure, with a strong emphasis on Ubuntu/Linux environments.

The successful candidate will play a critical role in supporting employee onboarding, provisioning hardware, keeping developer and pairing stations running reliably, and leveraging automation to streamline support processes. This is an excellent opportunity for a hands-on, technical individual looking to own workplace technology within a high-performance engineering environment.

Key Responsibilities

Location: Remote - US Remote (Preference for NYC based candidates)

Remote | Full-time

Compensation: $200K - $250K

Our client operates shared financial infrastructure designed to enable businesses and institutional partners to launch and manage branded stablecoins and advanced digital asset issuance stacks. The platform provides fully interoperable, liquid on-chain solutions that grant businesses programmable control over payment ecosystems while meeting the stringent operational demands of regulated financial institutions.

To support rapid growth and expanding institutional partnerships, our client is seeking a sharp, execution-focused Head of Security & Risk. This is a foundational, individual contributor (IC) role at a critical inflection point for the organization. In this position, the Head of Security & Risk will build and own the information security and enterprise risk management functions from the ground up.

Azumo builds and operates production AI systems for companies ranging from seed-stage startups to Meta. We are hiring a Data Scientist to own the part that comes before the system exists: what question is actually being asked, which method answers it, whether the answer holds up, and how anyone would know.The role is fully remote across Latin America, aligned to your client's working day.

You will not be handed a specification. Azumo has shipped models into production since 2016, and the work here starts with a client who knows what bothers them and does not yet know what to measure. Turning that into a model, a baseline, and a number someone can act on is the job.

Where this role sits

Azumo's engineering organization is built around four lanes. The Data Engineer lane owns pipelines, storage, and the retrieval layer. The AI Engineer lane owns production behavior. The Software Engineer lane owns AI-augmented product delivery. This role is the Data Scientist lane, and it owns the question and the method.

One question places the boundary: when the output is wrong, whose problem is it? "The method was inappropriate, or the question was the wrong one" is yours. "The system did the wrong thing with an appropriate method" is the AI Engineer's.

Not quite your profile? Check our other openings:

Azumo builds and operates production AI systems for companies ranging from seed-stage startups to Meta. We are hiring Software Engineers to deliver product software in our clients' stacks, with coding agents as part of how the work gets done rather than as a side experiment. The role is fully remote across Latin America, aligned to your client's working day.

We do not hire by language. Azumo has shipped production software since 2016, and what we test for is whether you can take a problem into a codebase you did not write and leave it better, at a pace a client can plan around. Which language you reach for first tells us where to place you, not whether we want you.

Where this role sits

Azumo's engineering organization is built around four lanes. The Data Engineer lane owns pipelines, storage, and the retrieval layer. The Data Scientist lane owns the question and the method. The AI Engineer lane owns production behavior. This role is the Software Engineer lane, and it owns AI-augmented product delivery.

One question places the boundary: "do you build AI, or do you build with AI?" The AI Engineer answers for what the model does.You answer for what the software does.

Not quite your profile? Check our other openings:

Azumo builds and operates production AI systems for companies ranging from seed-stage startups to Meta. We are hiring a Senior Security Engineer to own the technical security posture of those systems once they are live: the infrastructure they run on, the pipelines that feed them, and the agents that act on their output. The role is fully remote across Latin America, aligned to your client's working day.

You will not be writing policy. Azumo has shipped production AI since 2016, and the work here is in the systems themselves — hardening infrastructure, closing vulnerabilities, and building the guardrails that keep AI-driven workflows safe in front of real users.

Where this role sits

Most engineering organizations split ownership by what's built: pipelines and data infrastructure, the model or the method behind a decision, the product itself, and — once AI systems are live — what they actually do in front of users. Security isn't one more slice next to those. It's the discipline that has to hold inside every one of them, and on any team large enough to carry a dedicated specialist, this is the role that owns it.

About Zyte

Zyte is a leader in web data extraction. Our full-stack Zyte API and world-class data services help thousands of companies, from individual developers to global enterprises, turn the web into reliable, structured data. We're a remote-first, globally distributed team that ships fast and lets results speak.

This is a transformative moment for web data, and AI is reshaping both sides of the market. The world needs web data more than ever: to train models, power agents and feed AI applications, so the audience for web data is exploding - creating new personas and new buying journeys almost overnight. At the same time AI is changing how that data is collected - from manual work by engineers to automation with AI.

Zyte is unique in solving both challenges of web data - the software needed for reliable access to websites and the AI and skills needed to turn web content into structured data. We have an important mission in the AI revolution.

The role

We're hiring a Senior Growth Product Manager to lead our self-serve acquisition and growth journeys across the channels used by personas hungry for web data. Our users are engineers, data teams and the builders of AI agents, and your job is to understand what they seek, what they try first and what convinces them to stay.

About LawnStarter

LawnStarter is the nation's leading on-demand marketplace for lawn care and outdoor services, with over $150M in annual bookings. We're expanding beyond lawn care to become the one-stop shop for all home services, operating across three brands (LawnStarter, Lawn Love, Home Gnome) on a single shared platform.

About Analytics at LawnStarter

We're a small, senior analytics team supporting the entire company, product, marketing, operations, and finance all run on the data we serve. The foundation is solid: a centralized Redshift data warehouse where all source data lands, modeled in dbt and orchestrated by Airflow, with Segment feeding event data in. You won't be stitching scattered sources together, the platform exists; your job is to make it trustworthy and keep it that way. We're mid-migration to Lightdash as our single BI platform, replacing Tableau and Metabase.

Here's the honest gap: everyone on the team today is an analyst. Data quality, tracking standards, and platform hygiene get done as side work, squeezed between analyses. Nobody wakes up thinking about them, which is exactly the job we're hiring for.

The Role

Azumo builds and operates production AI systems for companies ranging from seed-stage startups to Meta. We are hiring an AI Engineer to own what those systems do once they are live: retrieval pipelines, tool-using agents, evaluation harnesses, and the guardrails that keep them dependable in front of real users. The role is fully remote across Latin America, aligned to your client's working day.

You will not be building demos. Azumo has shipped production AI since 2016, and the work here starts where the prototype ends, making a system reliable, measurable, and affordable enough to put in front of customers.

Where this role sits

Azumo's engineering organization is built around four lanes. The Data Engineer lane owns pipelines, storage, and the retrieval layer. The Data Scientist lane owns the question and the method. The Software Engineer lane owns AI-augmented product delivery. This role is the AI Engineer lane, and it owns production behavior.

One question places the boundary: when the output is wrong, whose problem is it? "The method was inappropriate" is a Data Scientist question. "The system did the wrong thing with an appropriate method" is yours.

Not quite your profile? Check our other openings:

Gritter Francona, Inc. is seeking an experienced Power Platform Tooling Development Manager to lead the Strategic Investment Management (SIM) Tooling Services within the Executive Director's Office (EDO) of the Veterans Health Administration (VHA). This critical role will oversee the implementation and management of IT tools designed to enhance operational efficiency, improve data management, and support strategic decision-making across the Veterans Health Administration (VHA).

The SIM office plays a pivotal role in business transformation, facilitating IT governance and business architecture to align with VHA's healthcare needs and priorities. As a leader in this space, you will ensure that tooling solutions streamline processes and provide actionable insights to support key stakeholders.

The ideal candidate will possess deep experience in Microsoft 365 Ecosystem, including Power Platform, SharePoint, Azure, and Dynamics 365, along with expertise in DevOps, .NET and SQL database management. This role will require occasional travel to Washington DC. Duties may include: