🌎 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.

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.

Workera is seeking a Value Architect to serve as a hybrid pre-sale solutioning leader and post-sale activation leader within our Partnerships and Sales organizations. This role transforms Workera’s science-backed assessments, integrations, AI-enabled workflows, and skills intelligence into measurable partner value. Success in this role directly impacts partner adoption, assessment consumption growth, integration quality, sales enablement effectiveness, and overall partnership revenue performance.

WHY THIS ROLE EXISTS

This role exists to own value proof and activation across both Partnerships and new logo sales motions, leading demos, scoping and running proof-of-values, orchestrating partner onboarding and integration quality, and embedding AI to drive scalable, repeatable execution. As Workera scales, we need dedicated capability to translate our platform into measurable outcomes and ensure every engagement - direct or partner-led - drives adoption and revenue growth

HOW THIS ROLE OPERATES

• Direct sales: value proof, demos, and PoVs that translate discovery into workforce transformation narratives
• Partner channel: onboarding, activation, integration quality, and enablement that make partner-led deals actually deliver
• You will help to create a unified methodology underpins both, skills intelligence storytelling, reusable IP, and AI-embedded workflows that scale beyond any single engagement.

YOUR TEAM

You’ll join the Partnerships team and operate as the connective tissue between Product, Engineering, Enablement, Sales, and Operations. You will collaborate closely with the VP of Partnerships, Account Executives, and cross-functional technical teams to ensure activation excellence and measurable partner outcomes.

WHAT YOU’LL OWN

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

• Lead value proof and demos across direct and partner-led opportunities, translating client requirements into capability outcomes and threading them into impactful first demos
• Own partner onboarding engagements end-to-end, from kickoff through activation milestones, ensuring every partner reaches time-to-first-value
• Drive measurable increases in adoption, usage penetration, and assessment consumption growth across the portfolio
• Orchestrate structured proof-of-concepts (PoVs) that demonstrate measurable value tied to assessment consumption and usage metrics
• Build and maintain dashboards and leading indicators for partner health, adoption, and risk
• Embed AI tools and automation into demo, PoV, onboarding, and activation
• Develop reusable demo frameworks, value narratives, and enablement materials that scale across partner sales teams

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
• Begin helping to work closely across the pre-sales and post-sales org

By 90 Days — Ship Something Real

• Own your first meaningful deliverable and demonstrate end-to-end execution
• Lead partner onboarding engagements from kickoff through activation milestones
• Contribute to standardized playbooks and lead tailored demos and discovery conversations across both direct and partner-led opportunities
• Begin coordinating integration validation (SSO, API, content mapping) with Engineering

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
• Orchestrate structured PoVs demonstrating measurable value tied to assessment consumption and usage metrics
• Build dashboards and define leading indicators for partner health, adoption, and risk
• Improve time-to-first-value through refined playbooks and technical coordination
• Drive measurable increases in partner adoption, usage penetration, and assessment consumption growth
• Influence cross-functional improvements based on partner feedback loops
• Contribute to expansion strategy and revenue growth across direct and partner-led motions

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:

• You bring learning technology ecosystem fluency (LMS, LXP, HRIS, talent marketplaces, enterprise learning stacks) and can hit the ground running
• You’ve led compelling product demonstrations and structured proof-of-concepts, and can point to the outcomes they drove
• You have talent analytics fluency — you can interpret usage, activation, and assessment consumption metrics and translate them into action
• You communicate at the executive level, translating complex AI and assessment concepts into compelling value narratives
• You’re outcome-oriented, focused on measurable impact over activity, and strong on systems thinking
• You’re comfortable in an AI-first environment where intelligent automation and experimentation are part of daily operations
• You have a demonstrated ability to leverage AI tools (e.g., ChatGPT or equivalent) to improve productivity, insight generation, or decision-making

Helpful if you also have:

• Partner sales enablement and scalable solutioning experience
• Skill assessment and measurement understanding (credentialing, workforce measurement methodologies; psychometrics background a plus)

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.

We are able to hire in the following countries for this role: UK, Ireland, or 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.

The Customer Success Associate is the execution engine of our Customer organization and the primary day-to-day partner to customers for onboarding through program delivery. This is a customer-facing execution role (distinct from quota-carrying Account Management and strategic advisory roles). You own how enterprise programs get delivered—working directly with customer stakeholders to ensure deployments run on time, on spec, and with a consistently high-quality experience from launch through adoption. You turn strategy into reality and scale that execution through systems and AI.

WHY THIS ROLE EXISTS

We are evolving our Customer organization from high-touch, manual execution to AI-enabled, scalable delivery. As we grow into supporting 10s to 100s of enterprise customers, we need a repeatable, reliable execution layer that ensures every program launches successfully and operates without friction.

The Customer Associate role exists to build and operate that layer—working directly with customers to bring structure to ambiguity, ensure consistent delivery, and enable scale without proportional headcount growth.

YOUR TEAM

The Customer Associate is part of Workera’s broader Customer organization, working alongside Account Management and Skills Strategy. From the customer’s perspective, you are the day-to-day owner of execution—ensuring commitments are met and programs run smoothly.

• Account Management owns the commercial relationship, including renewals and expansion
• Skills Strategists (SSMs) serve as strategic advisors on skills and talent strategy
• The Customer Associate owns execution and delivery, ensuring programs are launched, operated, and delivered with precision

You’ll also collaborate cross-functionally with Sales, Marketing, Tech, and Support to ensure customer commitments are delivered seamlessly. The team operates in a highly cross-functional, execution-driven model where clear ownership and coordination are critical.

WHAT YOU'LL OWN

Success in this role is measured by speed to launch, customer activation and progression, number of customers supported per Associate, and reduction in manual effort through systems and AI.

• Own end-to-end program execution for customers, ensuring every deployment goes live on time and meets defined success criteria (activation, engagement and time to value)
• Drive customer adoption and engagement, ensuring customers progress through key milestones without friction
• Lead cross-functional delivery coordination while representing customer needs and ensuring commitments are met
• Build and scale AI-enabled delivery workflows, translating repeatable work into systems, templates, and automations
• Increase delivery leverage, enabling the team to support significantly more customers with improved consistency and reduced manual effort

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 delivery workflows
• Shadow active customer programs to understand how deployments are executed end-to-end
• Begin participating in customer-facing calls and onboarding sessions
• Learn how AI tools are currently used across the Customer organization
• Begin identifying opportunities to improve consistency, speed, or quality in execution

By 90 Days -- Ship Something Real

• Lead customer-facing onboarding and execution for multiple accounts
• Independently manage timelines, stakeholders, and delivery outcomes
• Demonstrate ability to identify risks early and drive resolution across teams
• Implement at least one AI-driven improvement (workflow, template, or automation) that increases team efficiency

By 6 Months -- Multiply Your Impact

• Serve as the trusted day-to-day execution partner for a portfolio of customers
• Build or deploy AI-assisted workflows that are adopted by the team
• Contribute meaningfully to a scalable customer delivery system (playbooks, automation, or tooling)
• Help the team increase customer capacity without sacrificing quality

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:

• You have owned execution in customer-facing roles (e.g., onboarding, implementation, program delivery) and can point to consistent, high-quality outcomes
• You’ve managed complex, multi-stakeholder workstreams and delivered reliably against deadlines
• You actively use AI tools (e.g., ChatGPT, Claude, automation platforms) to redesign workflows, automate work, and materially increase output
• You communicate clearly and concisely, with strong attention to detail and follow-through
• You demonstrate high ownership: you close loops, anticipate issues, and don’t let things drop
• You solve problems and create structure in ambiguous environments to drive work forward while maintaining high responsiveness, clarity, and reliability in customer delivery

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.

We are only able to hire for this role in North America (ET or CT required).

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

While the world's attention is on creating new tools, the most forward-thinking companies are focused on solving the more important 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’re building. 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.

This is where you come in. As Senior Manager of Product Management, you'll lead the PMs responsible for building our agentic authoring and delivery platform, user experience, and platform interoperability, partnering with our team of assessment scientists to build something unmatched in the market. Workera is at an inflection point, and AI gives a small, well-organized team the ability to move at a speed and scale that would have been impossible just a few years ago. Your job is to build the operating model that captures that advantage — sharpening our AI-native product craft and proving that a focused team with the right practices can outpace organizations ten times our size.

WHY THIS ROLE EXISTS

Workera is growing, and the way we build and deliver product has to grow with it. We need a layer of operational and executional excellence that unlocks speed and boosts quality — one where data and instrumentation drive conviction in what we build, continuous discovery and direct customer engagement are built into how we work, and the product itself is easier to deploy and scale in enterprise environments. The goal is to reduce friction everywhere it slows us down: in how we make decisions, in how we ship, and in how customers adopt and expand.

YOUR TEAM

You'll report to the VP of Product and Assessment Science and lead a team of PMs owning assessment authoring, assessment delivery, enterprise platform and user experience. Day-to-day, you'll work closely with engineering leads, product design, and peers across PMM, partner and direct sales, and the customer organization. The team operates in true product trios — product, engineering, and design working as a unit — with continuous discovery baked into how we work, not treated as a separate phase. Customer insight drives prioritization; shipping and learning drives everything else.

WHAT YOU'LL OWN

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

A product team that ships with precision.

• Your PMs make decisions from behavioral data, not instinct — instrumentation is designed in from the start, and usage signal drives what gets built next. 
• Every PM on your team is meaningfully better at their craft six months after working with you than they were when you arrived: sharper on discovery, more rigorous on prioritization, more capable of operating without direction. 
• The team  moves with the speed and output of an org twice its size — by design, not by accident.

AI-native products that enterprise customers trust and expand 

• Workera's AI-native skill verification system earns renewals, drives expansion, and becomes infrastructure enterprise customers depend on. 
• Workera is deployable without friction: integrations, permissions, and admin workflows don't slow deals or create renewal risk. 
• Your team owns model behavior as a product problem — prompts, failure modes, guardrails, and evaluation are part of how you scope and ship, not handed off to engineering after the fact.

An operating model others want to replicate 

• Continuous discovery is how your team works, not a phase it goes through. 
• Customer insight and usage data are first-class inputs to every prioritization decision. 
• How your team synthesizes signal and moves from learning to shipping raises the bar for how the whole company thinks about building.

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.
• Audit the current state of product instrumentation and analytics across your teams — understand what we measure, what we don't, and where the biggest blind spots are.
• Map the cross-functional landscape: understand how Product, Engineering, GTM, and Science currently collaborate, where the friction is, and what shared context exists (or doesn't).

By 90 Days — Ship Something Real

• Own your first meaningful deliverable and demonstrate end-to-end execution.
• Have a clear point of view on the biggest gaps in product instrumentation, analytics, and PM craft — and a plan your team and stakeholders have aligned behind.
• Establish a working rhythm with your team and key cross-functional partners that reflects how this team will operate at its best.

By 6 Months — Multiply Your Impact

• Operate with full autonomy in your domain; your team relies on your judgment and your analytical read on the business.
• Core product experiences are instrumented, analytics are informing prioritization, and the team has measurably raised the bar on PM craft.
• Your team is self-directing — discovery, prioritization, and execution run as a continuous system without you in every decision.

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:

• You've led a PM team, not just contributed to one. You can point to initiatives where your ability to align, prioritize, and execute across functions was the deciding factor.
• You've built feedback systems, not just products. Discovery is a habit for you, and customer conversations and usage data are first-class inputs to every decision you make.
• You treat instrumentation as a product requirement, not an afterthought. You've built products where measurement was designed in from the start, and you've led teams to do the same.
• You're analytically fluent. You work directly in product analytics, know how to interpret behavioral data, and can tell the difference between a metric that matters and one that flatters.
• You think about AI as a product design problem, not a backend detail. You have hands-on experience shaping how LLM behavior becomes user experience — including failure modes, guardrails, and evaluation.
• You understand enterprise deployment realities — permissions, procurement, integrations, buyer/user dynamics — and have built with those constraints in mind from the start.
• Exposure to psychometrics, talent science, or evidence-based design is a meaningful plus.

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.