🌎 Hire Location (we can only hire for this role in the following countries): United Kingdom | Ireland | The Netherlands 

Everyone’s racing to build AI. Workera exists for the 8 billion people who have to work alongside it.

While the world’s attention is on creating new tools, someone has to solve the other side of the equation: the humans. The workforce is going through the biggest transformation in a generation and most organizations are navigating it blind, without the data to understand what their people can actually do, where the gaps are, or how to close them fast enough.

That’s what we build. Workera’s skills intelligence platform is the critical infrastructure for the AI era. It’s the layer that lets organizations understand, mobilize, manage, and develop their talent with precision. Trusted by the Fortune 500 and powered by proprietary AI agents, we’re the company helping the world’s largest organizations not just survive the transition to AI, but lead it.

We’re looking for a Senior Fullstack Engineer whose heart is in the backend — someone excited to architect and own the systems that power our AI-native platform, built on Elixir/Phoenix. You’ll join small, autonomous project teams (2–3 people) that take full ownership of a feature from scoping and prototyping through to rollout and user feedback, with the depth to contribute across the stack and the instinct to lead from the backend. AI fluency isn’t optional here — you will use agentic coding and AI agents as a core part of how you work and build.

WHY THIS ROLE EXISTS

As Workera scales its AI-native platform to serve global enterprise customers, we need senior engineering talent who can own critical backend systems end-to-end. This role exists to add to our EMEA engineering team, bringing someone with depth and ownership  — shipping high-stakes, platform-critical features while advancing our AI-first engineering culture.

YOUR TEAM

You’ll join a cross-functional team operating at the intersection of generative AI, enterprise software, and talent transformation. Your immediate engineering team consists of four engineers, supported by a product designer, product manager, and engineering manager, all based in the EMEA region. The team values deep work and async communication — with only a few regular touchpoints each week — so you’ll have plenty of uninterrupted time to build.

WHAT YOU’LL OWN

This isn’t a list of tasks. These are the outcomes you’re accountable for:

• Architect and own backend systems that are robust, performant, and built to scale with a growing enterprise customer base
• Lead full projects end-to-end — owning scoping, architecture, build, and rollout — within a small autonomous team
• Ship AI-powered product features using agentic coding workflows and LLM integrations as a core part of how you build
• Identify and drive cross-team technical initiatives that advance Workera’s AI-first engineering organization
• Troubleshoot and resolve production issues throughout the full stack with speed and confidence
• Contribute on the frontend (Phoenix + React) when needed, bringing a full-stack perspective to backend-led ownership

HOW YOU’LL RAMP

We don’t expect you to figure it out alone. Here’s what great looks like at each stage:

First 30 Days — Learn the Machine

• Immerse yourself in Workera’s platform, customers, and the problems we’re solving. You’ll shadow key workflows and understand how AI is embedded in day-to-day operations across teams
• Get fully up to speed with our development process and begin using AI tools and agentic coding workflows to learn and contribute to the codebase

By 90 Days — Ship Something Real

• Own your first meaningful deliverable and demonstrate end-to-end execution
• Be fully up to speed with our development process and using AI tools and agentic coding workflows to learn about and contribute to the codebase
• Deliver a project in a small team that touches every relevant part of the codebase, and be ready to troubleshoot production issues throughout the stack

By 6 Months — Multiply Your Impact

• Operate with full autonomy in your domain; your team relies on your judgment
• Have built or deployed at least one AI-assisted workflow that the team adopts
• Lead a full project, owning scoping, architecture, build, and rollout end-to-end
• Identify opportunities to use AI tools and automation to increase leverage and impact in your team
• Deeply understand our market position and communicate clearly in cross-functional discussions

We’re a fast-moving company — the scope and shape of this role will evolve as we do.

WHAT YOU BRING

We’re looking for signal, not checkboxes. Here’s what matters most:

• 7+ years of software engineering experience with a strong backend specialization in a SaaS or startup environment — full-stack capability is valued, but your heart is in the backend
• Practical experience building scalable backend systems top to bottom — ideally in Elixir/Phoenix/PostgreSQL; Go, Erlang, or Clojure backgrounds also considered; a proven ability to learn new technologies quickly is a must if you don’t have Elixir experience
• Deep expertise delivering platform-critical, high-stakes backend projects where robustness, performance, and troubleshooting are non-negotiable
• Day-to-day use of AI tools to enhance personal productivity (e.g., Claude Code or equivalent); bonus for experience building user-facing GenAI features
• Strong user and customer orientation — you understand and optimize user flows, not just code
• Willingness and ability to contribute on the frontend when needed (Phoenix + React)
• 2+ years working with a fully remote, async team
• Excellent written and verbal communication skills in English
• Comfort working in an AI-first environment where intelligent automation and experimentation are part of daily operations, with demonstrated ability to leverage AI tools (e.g., Claude, ChatGPT, or equivalent) to improve productivity and decision-making
• Strong systems thinking — ability to see how your backend work connects to a broader AI-driven platform and enterprise customers

The details: remote work & tech stack

You should be located in the UK, Ireland, or the Netherlands. You are free to choose working hours that suit you best, as long as there is an overlap with your team for most of the day.

Our stack primarily consists of Elixir + PostgreSQL on the backend and Phoenix on the frontend (with some pockets of React). We monitor performance using Sentry, and our platform is hosted on AWS, running on Docker containers defined in Terraform. Our platform is AI-native, and we make extensive use of LLMs in our application. Our code lives on GitHub — in fact, GitHub, Slack and Linear is where most of the collaboration happens. We practice using Loom to demo our work.

HOW WE WORK: AI IS THE DEFAULT

At Workera, AI isn’t a feature we sell — it’s how we operate. Every team member is expected to:

• Use AI daily. AI assistants, copilots, and automation tools are part of your stack — not optional extras. We expect you to actively experiment with new tools and push the boundary of what’s possible in your function.
• Build your own leverage. Our marketers write code. Our PMs build automations. Our ops team deploys agents. If a workflow can be automated, you’re expected to automate it — or work with someone who can.
• Think in systems, not tasks. We value people who build repeatable, scalable solutions over people who grind through one-off work. Your goal is to make your function run smarter, not just harder.

AI fluency is a cultural expectation, not a line item on a job description.

About the role

This role is able to be hired in the following countries: US

Everyone’s racing to build AI. Workera exists for the 8 billion people who have to work alongside it.

While the world’s attention is on creating new tools, someone has to solve the other side of the equation: the humans. The workforce is going through the biggest transformation in a generation and most organizations are navigating it blind, without the data to understand what their people can actually do, where the gaps are, or how to close them fast enough.

That’s what we build. Workera’s skills intelligence platform is the critical infrastructure for the AI era. It’s the layer that lets organizations understand, mobilize, manage, and develop their talent with precision. Trusted by the Fortune 500 and powered by proprietary AI agents, we’re the company helping the world’s largest organizations not just survive the transition to AI, but lead it.

We are seeking a Skills Strategy Manager to serve as the strategic partner and program owner for enterprise clients — guiding workforce transformation while driving successful deployment and sustained adoption of Workera’s platform. This role blends skills strategy, AI enablement, and program leadership, helping organizations such as Accenture, Booz Allen Hamilton, Samsung, and the U.S. Air Force accelerate AI-driven workforce transformation. As the primary owner of customer value delivery, you will lead end-to-end enterprise deployments, co-create custom assessments, and translate skills data into executive-ready insights that drive strategic decisions.

WHY THIS ROLE EXISTS

As Workera scales its enterprise customer base, we need a skilled practitioner who can own the full customer value lifecycle — from implementation through renewal — while advising clients on how to apply skills intelligence and AI capabilities to transform their workforce strategy. Initially this role balances hands-on program execution with strategic advisory; as our AI-enabled systems scale, the focus will increasingly shift toward higher-order advisory and executive engagement.

YOUR TEAM

You’ll join our Customer Success organization, working at the intersection of generative AI, enterprise software, and talent transformation. You will collaborate cross-functionally with Sales, Product, Integrations, Support, and Marketing to deliver measurable value to global organizations. This role partners closely with enterprise executives and senior program leaders to drive adoption, impact, and long-term growth.

WHAT YOU’LL OWN

This isn’t a list of tasks. These are the outcomes you’re accountable for:

• Own end-to-end enterprise deployments — ensuring strong implementation, adoption, and measurable business impact from kickoff through renewal
• Serve as the primary strategic advisor to C-suite and senior leaders on skills-first, AI-driven workforce transformation
• Deliver executive-ready insights and QBRs that clearly connect skills data to ROI and workforce outcomes
• Co-create custom assessments and translate skills intelligence into strategic decisions for enterprise clients
• Proactively identify adoption risks using engagement and outcome metrics, and implement targeted interventions
• Contribute to scalable playbooks and AI-enabled delivery models that raise the bar for the entire Customer Success function

HOW YOU’LL RAMP

We don’t expect you to figure it out alone. Here’s what great looks like at each stage:

First 30 Days — Learn the Machine

• Immerse yourself in Workera’s platform, customers, and the problems we’re solving. You’ll shadow key workflows and understand how AI is embedded in day-to-day operations across teams
• Take ownership of active enterprise accounts and begin leading key workstreams within customer deployments
• Build trusted relationships with primary customer stakeholders

By 90 Days — Ship Something Real

• Own your first meaningful deliverable and demonstrate end-to-end execution
• Deliver initial program milestones on time and with high quality, ensuring strong launch readiness
• Contribute to scalable playbooks and AI-enabled delivery models within Customer Success

By 6 Months — Multiply Your Impact

• Operate with full autonomy in your domain; your team relies on your judgment
• Have built or deployed at least one AI-assisted workflow that the team adopts
• Fully own the lifecycle of multiple enterprise deployments (implementation, launch, adoption, renewal support)
• Proactively identify adoption risks and implement targeted interventions
• Partner with Sales to support expansion conversations within existing accounts
• Influence product roadmap through structured customer feedback and advocacy
• Demonstrate measurable customer impact, including strong adoption, retention, and expansion outcomes

We’re a fast-moving company — the scope and shape of this role will evolve as we do.

WHAT YOU BRING

We’re looking for signal, not checkboxes. Here’s what matters most:

• 6+ years in enterprise SaaS or technology-enabled environments, including experience in program leadership, human capital transformation, assessments, management consulting, or strategic customer-facing roles
• Demonstrated experience leading complex enterprise deployments, driving adoption, and managing cross-functional execution in ambiguous environments
• Proven project management skills — coordinating cross-functional teams, managing complex projects, and driving structured execution that ensures customer value realization
• Experience in strategic Customer Success or Account Management
• Strong data-driven communication skills with the ability to influence executives
• Resilience, grit, and adaptability — you operate confidently through ambiguity and challenging customer situations
• Strong systems thinking — ability to understand how your work connects to a broader AI-driven platform and enterprise customers
• Demonstrated ability to leverage AI tools (e.g., ChatGPT or equivalent) to improve productivity, insight generation, or decision-making

Preferred:

• Background in I/O Psychology with client-facing experience
• Experience working in fast-paced, high-growth environments
• Proven success managing large, complex enterprise accounts (ACV $100K+)
• Familiarity with workforce analytics, predictive modeling, or AI-driven decision support

HOW WE WORK: AI IS THE DEFAULT

At Workera, AI isn’t a feature we sell — it’s how we operate. Every team member is expected to:

• Use AI daily. AI assistants, copilots, and automation tools are part of your stack — not optional extras. We expect you to actively experiment with new tools and push the boundary of what’s possible in your function.
• Build your own leverage. Our marketers write code. Our PMs build automations. Our ops team deploys agents. If a workflow can be automated, you’re expected to automate it — or work with someone who can.
• Think in systems, not tasks. We value people who build repeatable, scalable solutions over people who grind through one-off work. Your goal is to make your function run smarter, not just harder.

AI fluency is a cultural expectation, not a line item on a job description.