Senior Manager of Product Management, Workera
More information about location
Skills intelligence platform
Open for applications
Skills intelligence platform
201-500 employees
Open for applications
More information about location
201-500 employees
Company mission
To empower individuals and organizations to thrive by understanding, measuring, and improving their skills - across any skill - at any time.
Role
Who you are
- 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
- 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
What the job involves
- 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
- 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
- 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
- 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
Our take
Companies are struggling to find a learning platform that can upskill and reskill their talent quickly, in accordance with the fast development of the technology used in different key roles such as data science, machine learning, and artificial intelligence.
Workera is an upskilling startup that helps companies evaluate their data and AI capabilities and provide their employees with personalized learning plans to keep them updated on the latest technologies and practices. The company uses AI and machine learning to evaluate the current skillset's within a company and to design a learning plan that will help businesses' workforce reach a particular level of understanding of new technology.
Recently, the company strengthened its enterprise footprint through a partnership with Udemy. The collaboration brings together Workera's AI-powered skills assessment with Udemy's global learning marketplace, creating an end-to-end solution that allows organizations to identify capability gaps and deliver more targeted training.
As demand for GenAI and advanced technical skills continues to grow, this partnership puts Workera at the centre of a more integrated, data-driven approach to workforce development, helping enterprise move beyond just one-off courses and toward continuous upskilling.
Steph
Company Specialist at Welcome to the Jungle
Insights
52% employee growth in 12 months
Company
Funding (last 2 of 3 rounds)
Mar 2023
$23.5m
SERIES B
Aug 2021
$16m
SERIES A
Total funding: $44.5m
Company HQ
Ventura, Palo Alto, CA
Leadership
Kian Katanforoosh
(Co-Founder & CEO)Alongside Workera, Kian is an Adjunct Lecturer at Stanford University and a Scout at Sequoia Capital. Previously he co-founded Daskit.
Adam Lavezzo
(COO)Prior to joining Workera in 2023, Adam spent nearly 6 years at BetterUp as a VP of Operations/Revenue Strategy & Operations. He also spent 6 years at Bain & Company as a Consultant and Manager.
Tim DaRosa
(CRO)Tim joined Workera in 2024 as CMO, moving into the role of CRO in 2026. Previously, he was the Head of Marketing at Airkit.ai and CMO at Zadara.He also spent over 3 years at HackerOne as VP, then Senior VP of Marketing.
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