Forward Deployed Product Manager

Caylent is an AI-first cloud services company that helps organizations turn ambitious ideas into meaningful business impact.

As an AWS Premier Tier Services Partner and a charter member of Anthropic’s Claude Partner Network, we combine deep expertise in AWS, artificial intelligence, and Anthropic’s Claude platform to help customers modernize their technology, build intelligent products, and move AI from experimentation into production.

Our capabilities span generative and agentic AI, cloud migration and modernization, cloud-native application development, data and analytics, DevOps, managed services, security and compliance, and customer experience transformation. At Caylent, our people always come first.

We are a fully remote global company with employees in Canada, the United States and Latin America. We celebrate the culture of each of our team members and foster a community of technological curiosity. Come talk to us to learn more about what it means to be a Caylien!

About This Role 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.

What You'll Do

Client Delivery 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 Agentic IP and Tooling 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 Internal Contribution 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 What We're Looking For Required 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 Preferred 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 Co