Forward Deployed Product Manager

Caylent

7h•$125,000 - $137,500•Remote

About The Position

Caylent's Anthropic Consulting and Engineering (ACE) practice is a dedicated AI services team built in partnership with Anthropic. We are Anthropic's first pure-play delivery partner. The Agentic SDLC Product Manager owns the Product workstream inside client engagements. On Transformation Blueprint programs, you lead the Product workstream alongside engineering and organizational workstream leads: running current-state assessments with client product teams, designing the future-state PDLC, and coaching product managers through the shift from spec authors to strategic orchestrators of AI-assisted development. On 3-2-1 Build and Enable engagements, you shape the prototype: leading the scoping session, defining the Sprint Charter with the client, and driving the spec generation that feeds Sprint 1 delivery. You are embedded in client product and engineering organizations from kickoff through handoff. Your clients are product managers and engineering leads who need to redesign how products get built, not just which tools their teams adopt.

Requirements

7+ years of product management experience, including meaningful time in a client-facing, embedded, or consulting role
Experience working directly with product teams on how they work: their discovery processes, PDLC design, and spec practices
Experience or demonstrated capability in the use of Agentic AI to facilitate product management activities
Strong facilitation: you run working sessions with product and engineering stakeholders, extract useful signal from ambiguous input, and drive toward a signed-off decision
Able to write clean, executable specs, both for your own engagement deliverables and as a model for clients you're coaching
Technical fluency to scope prototypes with engineers: you can discuss architectural feasibility, participate in spec-to-build handoffs, and hold your own in an architecture lock session

Nice To Haves

Background in professional services, management consulting, or an embedded advisory role
Experience redesigning how a product function works inside another organization, not just producing recommendations
Familiarity with AI-native product workflows: spec-driven development, LLM-assisted requirements generation, or agentic product tooling
Experience with PE portfolio company environments or enterprise engineering organizations navigating modernization
Hands-on familiarity with Claude Code or equivalent AI-assisted development tooling

Responsibilities

On enterprise transformation programs, lead the product workstream end-to-end: assess how client product teams operate today, design the future-state PDLC, and coach PMs through the shift from spec authors to strategic orchestrators of AI-assisted development
On prototype and build-enable engagements, anchor the product side: run discovery with client stakeholders, shape the delivery backlog into a signed Sprint Charter, and write the specs that drive prototype and MVP development
Design PM training curricula and lead enablement sessions throughout engagements, using real delivery work as session material
Surface expansion opportunities during delivery: by the close of each engagement, you have a clear view of what the client's product org needs next
Help define and refine the product-facing agents Caylent deploys across engagements: idea consolidation, spec generation, PM workflow automation, and the product side of advanced agent prioritization
Provide field feedback that sharpens agent design, prompt configuration, and the scoping frameworks that determine where agentic tooling fits in client environments
Co-own the product spec artifacts that define how Caylent's IP gets built and evolved across the practice
Turn PDLC patterns from the field into improvements to product workstream methodology, scoping frameworks, and future-state design templates
Support pre-sales conversations where product definition, sprint structure, or PDLC maturity assessment is part of the qualification