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Partner Value Architect

Workera

Workera

IT
United States · Canada · Remote
Posted on Feb 24, 2026

About the role

We are hiring for this role in the US or Canada.

Workera is an AI-native company transforming how enterprises measure and develop talent in the age of AI. We are looking for people who thrive in a fast-moving, AI-first environment - where experimentation, continuous learning, and intelligent automation are part of how we operate every day. Whether building product, driving revenue, or enabling operations, your work directly advances our mission to empower individuals and organizations to thrive by understanding, measuring, and improving their skills - across any skill - at any time.

Workera is seeking a Partner Value Architect to serve as a hybrid pre-sale solutioning leader and post-sale activation and within our Partnerships organization. This role transforms Workera’s science-backed assessments, integrations, AI-enabled workflows, and skills intelligence into measurable partner value. You will own partner onboarding, activation, integration quality, proof-of-concept orchestration, and ongoing value realization — while embedding AI to drive scalable, repeatable execution. Success in this role directly impacts partner adoption, assessment consumption growth, integration quality, sales enablement effectiveness, and overall partnership revenue performance.

About your team
You’ll join the Partnerships team and operate as the connective tissue between Partnerships, 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 Do:
Within 3 months, you will:

  • Develop a strong understanding of Workera’s AI-powered platform, customers, and business model
  • Lead partner onboarding engagements from kickoff through activation milestones
  • Help create standardized playbooks
  • Support and lead tailored product demonstrations aligned to partner use cases
  • Begin coordinating integration validation (SSO, API, content mapping) with Engineering
  • Establish partner success plans tied to activation milestones and usage penetration

Within 6 months, you will:

  • Orchestrate structured proof-of-concepts (POCs) demonstrating measurable value tied to assessment consumption and usage metrics
  • Embed AI tools and automation into onboarding and activation workflows to increase scalability and reduce bespoke solutioning
  • Build dashboards and define leading indicators for partner health, adoption, and risk
  • Improve time-to-first-value through refined playbooks and technical coordination
  • Contribute reusable demo frameworks, value narratives, and enablement materials for partner sales teams

Within 9 months, you will:

  • 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 partner-led revenue growth
  • Establish best practices for operating an AI-enabled partner activation function

*Please note as we are a dynamic and quickly growing scale-up, things are always subject to change*

What You’ll Bring

  • Learning technology ecosystem fluency (LMS, LXP, HRIS, talent marketplaces, enterprise learning stacks)
  • Skill assessment and measurement understanding (credentialing, workforce measurement methodologies; psychometrics background a plus)
  • Talent analytics fluency — ability to interpret usage, activation, and assessment consumption metrics
  • Experience leading compelling product demonstrations and structured proof-of-concept
  • Strategic communication and executive presence — able to translate complex AI and assessment concepts into compelling value narratives
  • Strong outcome orientation — focused on measurable impact over activity
  • Comfort working in an AI-first environment where intelligent automation and experimentation are part of daily operations
  • Strong systems thinking — ability to understand how your work connects to a broader AI-driven platform and our partners
  • Demonstrated ability to leverage AI tools (e.g., ChatGPT or equivalent digital assistants) to improve productivity, insight generation, or decision-making in your work context.


Helpful if you also have

  • Partner sales enablement and scalable solutioning experience

Operating in an AI-First Company
At Workera, AI is embedded in both our product and how we operate. We use intelligent tools to increase velocity, improve decision-making, and raise our performance bar. AI fluency is a cultural expectation — not just a product feature.

About Workera
Workera is a fast-growing, Series B Silicon Valley company redefining how enterprises understand, develop, and mobilize talent. We are an AI company building AI-native skill assessments that can measure any skill, at any time, for the world’s largest organizations. Our platform combines generative AI, adaptive testing, and rigorous measurement science to deliver trusted, defensible skill insights at enterprise scale. As AI reshapes how work is performed, Workera is redefining how work is measured. Our clients include Samsung, Siemens Energy, and the U.S. Air Force.

Our founder is Kian Katanforoosh, an award-winning Stanford Computer Science Lecturer who has taught AI to over 1 million people, and our Chairman is Dr. Andrew Ng, co-founder of Coursera (NYSE: COUR), CEO of DeepLearning.AI, and founding lead of the Google Brain project.

We’re learners, dreamers, and game-changers. Join us.
Workera is committed to providing an inclusive and respectful environment where equal employment opportunities are available to all applicants and employees. We do not discriminate on the basis of race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), national origin, age, disability, genetic information, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by applicable law.
Hiring decisions are based on qualifications, merit, and business need.