Product Alliance Director, Technology Partnerships - AWS
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.
Your Role:
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.
Responsibilities:
AWS Partnership Ownership
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.
Amazon Bedrock & AI Stack Fluency
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.
Data & Cloud Infrastructure Alignment
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.
GTM & Revenue Enablement
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.
AI-Native Execution
Self-sufficiently produce high-quality assets — branded decks, one-pagers, 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.
Job Requirements:
7+ years of experience in product management, technical partnerships, solutions engineering, or a similar role in a B2B SaaS, data, or AI company.
Hands-on fluency with Amazon Bedrock — including Agents, Knowledge Bases, model APIs, and Guardrails. You have built with it or advised customers building on it.
Deep familiarity with the AWS ecosystem: Redshift, S3, Glue, SageMaker, EventBridge, Lake Formation, IAM, and the AWS Partner Network (APN / ISV Accelerate).
Demonstrated ability to hold architecture-level technical conversations independently — with AWS SAs, customer engineers, or partner technical teams.
Proven track record driving partnership-influenced revenue through co-sell programs, Marketplace listings, or joint GTM motions.
Strong AI fluency — actively uses LLM-based tools in daily work; can rapid-prototype, draft, and iterate without designer or engineer support.
Exceptional ability to communicate across audiences — from a whiteboard session with cloud architects to an executive QBR with AWS leadership.
High independence — thrives without heavy process structure; makes sound decisions and drives outcomes in ambiguous, fast-moving environments.
Nice to Have
AWS certification(s): Solutions Architect, Machine Learning Specialty, or equivalent.
Experience with Amazon Bedrock Agents and multi-agent architectures for enterprise AI applications.
Prior experience working within or alongside an AWS ISV Partner organization.
Background in CDP, customer data platforms, or marketing technology.
Familiarity with AWS Clean Rooms, Amazon Marketing Cloud (AMC), or AWS-native identity resolution patterns.
Experience working on AWS Marketplace private offers, contract pricing, or CPPO (Channel Partner Private Offer) structures.
Why This Role
Own the most strategic hyperscaler: AWS is central to how enterprise customers build and deploy AI — you will be at the center of that motion for Treasure AI.
Bedrock at the frontier: Amazon Bedrock is one of the fastest-evolving surfaces in enterprise AI. You'll be shaping how Treasure AI's customer data platform plugs into the AI infrastructure stack that matters most.
Revenue impact: This role is directly tied to GTM outcomes — you will see the deals your partnership work influences close.
AI-first team, AI-first role: Treasure AI is building the next generation of customer intelligence. We expect you to work the way we build — with AI as a force multiplier, not an afterthought.
Autonomy: You will have the latitude to define what a best-in-class AWS partnership looks like and build it.
Physical Requirements:
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.
Travel Requirements:
Requires peaks of 50% travel to visit clients.
This description captures the core of the role today. As we adopt AI and new ways of working, responsibilities may evolve, and we encourage team members to take initiative, lean into change, and help expand the impact of their role beyond what’s listed here.
Perks and Benefits (US):
Our benefit package showcases our culture of care and empathy with
Comprehensive medical, dental, vision plans and Employee Assistance Program (EAP)
Competitive compensation packages
Company paid life insurance 3x salary
Company paid short- and long-term disability coverage
Retirement planning (401K) with 4% company match
Restricted Stock Units (RSU)
Flexible Time Off (FTO)
Up to 26 weeks paid parental leave including a post-partum night nurse
Comprehensive support and access to care for everyone, everywhere through Carrot - our global reproductive health and family-building benefit.
Our Dedication to You:
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.
Agencies and Recruiters:
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!
This description captures the core of the role today. As we adopt AI and new ways of working, responsibilities may evolve, and we encourage team members to take initiative, lean into change, and help expand the impact of their role beyond what’s listed here.
- Locations
- Mountain View, CA, New York, NY
- Remote status
- Hybrid
- Yearly salary
- $211,000 - $225,000
- Employment type
- Full-time
About Treasure AI
Treasure AI moves marketing and data teams beyond legacy martech SaaS toward autonomous, ROI-driven AI agents that operate continuously, while keeping the human in the loop. With built-in governance, Treasure AI is powered by an always-up-to-date understanding of each customer for AI to act on.
The result is always-on marketing execution that compounds over time: smarter engagement, stronger retention, and measurable growth.
Treasure AI’s agentic experience platform is available across web, mobile, and desktop — bringing your customer intelligence to every workflow, wherever your team works.