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Treasure AI is seeking a Product Alliance Director, Technology Partnerships - AWS to own and grow our most strategic hyperscaler relationship. This role is the dedicated product owner for Treasure AI's presence within the AWS ecosystem — Bedrock, SageMaker, Redshift, S3, and related services.
You will act as a technical counterpart to AWS teams and drive joint go-to-market motions. You'll work across product, sales, and marketing, framing conversations for engineers and executives alike, and
Treasure AI:
Treasure AI is the agentic experience platform built to acquire, retain, and grow your most valuable customers. Powered by AI, Treasure AI is shaped by human creativity and always-on through continuous, context-driven action.
Furthermore, Treasure AI employees are enthusiastic, data-driven, and customer-obsessed. We are a team of drivers—self-starters who take initiative, anticipate needs, and proactively jump in to solve problems. Our actions reflect our values of honesty, reliability, openness, and humility.
Treasure AI is seeking a Product Alliance Director, Technology Partnerships - AWS to own and grow our most strategically important hyperscaler relationship. This role is the dedicated product owner for Treasure AI's presence within the Amazon Web Services ecosystem — spanning Amazon Bedrock, AWS Marketplace, Amazon SageMaker, Amazon Redshift, S3, and the broader set of AWS data and AI services our customers rely on.
This is not a traditional partnership manager role. We are looking for someone who is deeply fluent in the AWS AI/ML stack—especially Amazon Bedrock—and who can operate as a credible technical counterpart to AWS solution architects, partner development managers, and engineering leads. At the same time, you will bring the business acumen to map joint go‑to‑market opportunities, influence pipeline through co‑sell motions, and represent Treasure AI at the highest levels of the AWS partner network.
You will work independently across product, sales, and marketing without requiring R&D support in routine partner engagements. When deep engineering discussions arise, you know how to identify the right moment to bring them in — and how to frame the conversation before you do.
Serve as Treasure AI's primary product liaison to Amazon Web Services, owning the end‑to‑end partner relationship including joint roadmap, marketplace presence, and co‑innovation programs.
Manage and grow Treasure AI's standing in the AWS Partner Network (APN), including ISV Accelerate, AWS Marketplace listings, and co‑sell pipeline reporting.
Own the relationship with AWS Partner Development Managers (PDMs), Service Team Alliances leads, and Bedrock/SageMaker product teams.
Lead joint Executive Business Reviews and quarterly planning sessions with AWS stakeholders.
Serve as Treasure AI's internal subject matter expert on Amazon Bedrock—including model invocation APIs, Agents for Bedrock, Knowledge Bases, Guardrails, and the broader Bedrock ecosystem.
Identify and validate integration opportunities between Treasure AI's customer data platform and Bedrock‑powered AI applications—including agentic workflows, personalization, and real‑time inference.
Evaluate AWS AI/ML service launches (SageMaker, Bedrock updates, Amazon Q, AWS Glue AI) for product and partnership implications; brief internal stakeholders proactively.
Lead architecture‑level conversations with AWS solution architects and customer technical teams without requiring engineering support in initial scoping phases.
Drive integration strategy around Amazon Redshift, S3, AWS Glue, Lake Formation, and EventBridge as Treasure AI data ingestion and activation surfaces.
Work with product and engineering to ensure Treasure AI's platform is optimized for AWS‑native deployments—VPC peering, PrivateLink, IAM federation, and cloud‑native security patterns.
Maintain awareness of relevant AWS data service roadmaps and translate them into actionable integration requirements for Treasure AI's engineering backlog.
Partner with Sales and Solutions Engineering to map ICP target accounts where AWS co‑sell and Marketplace motions accelerate deal velocity.
Develop joint solution briefs, AWS‑specific sales plays, and co‑marketing content that help field teams position Treasure AI within the AWS ecosystem.
Track and report on partnership‑influenced pipeline, Marketplace ACE submissions, and co‑sell win rates on a regular cadence.
Support AWS‑focused demand generation activities including re:Invent, AWS Summits, and partner‑sponsored events.
Self‑sufficiently produce high‑quality assets—branded decks, one‑pages, competitive briefs, Bedrock integration narratives—using AI‑assisted tooling without relying on design or marketing support.
Rapidly prototype AWS integration concepts and joint use cases to validate feasibility and build internal alignment before engaging engineering resources.
Operate with a builder's mindset: use AI tools to move faster, communicate more clearly, and compress the time between idea and execution.
Working out of the Mountain View, California or New York, New York office according to our “Global Hybrid Working Policy.”
The schedule requires being on‑site in Mountain View during the first work week of every month, followed by our standard 3‑day‑a‑week in‑office hybrid schedule for the rest of the month.
Requires peaks of 50% travel to visit clients.
We value and promote diversity, equity, inclusion, and belonging in all aspects of our business and at all levels. Success comes from acknowledging, welcoming, and incorporating diverse perspectives.
Diverse representation alone is not the desired outcome. We also strive to create an inclusive culture that encourages growth, ownership of your role, and achieving innovation in new and unique ways. Your voice will be heard, and we will help amplify it.
We cannot consider your candidate(s) without a contract in place. Any resumes received without having an active agreement will be considered gratis referrals to us. Thank you for your understanding and cooperation!