Applied AI ML Senior Associate - Go To Market Strategy

Applied AI ML Associate Sr

Applied AI/ML Associate Sr Join us as we embark on a journey of collaboration and innovation, where your unique skills and talents will be valued and celebrated. Together we will create a brighter future and make a meaningful difference. As an Applied AI/ML Associate Sr within the Technology Operate and Production Management Team, you will drive the adoption, marketing, and measurable impact of the AI/ML and Generative AI products our teams build. You will combine go-to-market and user engagement expertise with hands-on technical ability, ensuring the solutions we develop are effectively communicated, actively used, and continuously improved based on real user feedback. Leveraging the Infinite AI Training/serving architecture, you will build AI/ML proofs of concept, develop the applications and dashboards that surface success metrics, and demonstrate return on investment to stakeholders. Job Responsibilities Identify and engage key user personas and stakeholders, tailoring messaging and outreach to their unique workflows, pain points, and responsibilities. Communicate tailored value propositions that highlight core benefits—such as improved efficiency, reduced resolution time, better visibility, and actionable insights—for each persona. Maximize engagement across digital platforms and channels (documentation, email, webinars, events), sharing use cases and success stories that demonstrate practical impact. Collect structured user feedback through surveys, training sessions, interviews, and in-product tools to understand adoption barriers and inform product improvements. Adapt the go-to-market approach continuously based on user feedback, adoption patterns, market trends, and competitive dynamics. Track key success metrics—adoption rates, user satisfaction, engagement, and business impact—to measure effectiveness and demonstrate ROI to stakeholders. Build and demonstrate AI/ML and Generative AI proofs of concept (PoCs) to showcase product capabilities and validate use cases with users. Develop supporting applications, web interfaces, and dashboards that capture, visualize, and report adoption and success metrics. Partner with Product and Engineering teams to translate user feedback into product improvements and ensure solutions are effectively marketed and adopted. Champion responsible AI principles, including transparency, bias mitigation, and ethical use, across messaging, demonstrations, and product adoption. Required Qualifications, Capabilities, and Skills Experience in go-to-market strategy, product marketing, user engagement, or adoption/enablement for technical or AI/ML products, including identifying user personas, crafting value propositions, and running multi-channel outreach. Experience collecting and synthesizing user feedback and strong analytical skills to track adoption, satisfaction, and business impact metrics and demonstrate ROI. Familiarity with AI/ML and Generative AI concepts, including LLMs/SLMs, agent skills, prompt engineering, tool creation, connecting agents to services, and LLM evaluation (test cases, agent eval, LangSmith, metrics). Hands-on ability to build AI/ML PoCs and agentic workflows, including debugging latency and bottlenecks, with an understanding of the Bedrock platform and guardrails. Strong coding skills in Python, including building agents with LangChain, mounting RESTful APIs with FastAPI, data modeling with Pydantic, unit testing with Pytest, Boto3 for AWS, package managers (pip, poetry, uv), and autoformatting/linting best practices. Experience developing applications, web interfaces, and dashboards to visualize and report metrics, using RESTful APIs, asynchronous Python, and data wrangling with SQL. Excellent communication, storytelling, and stakeholder management skills, with the ability to explain technical concepts to both technical and non-technical audiences. Excellent problem-solving skills and the ability to work in a collaborative team environment. Fluent in English Preferred Qualifications, Capabilities, and Skills Familiarity with API management tools (Postman or Bruno) and modern API development practices. Understanding of cloud authentication and authorization (IAM, OAuth2) and secure integration patterns. Experience with telemetry and observability tools such as Datadog or similar for monitoring application and workflow performance. Exposure to front-end development concepts and BI/dashboarding tools for publishing and governing stakeholder-facing metrics. Prior experience marketing or driving adoption of internal technical platforms or developer tools within a large organization. Hands-on experience with cloud and AWS resources (ECS clusters and services), CI/CD pipelines (Jenkins, GitHub Actions, GitLab CI/CD), Docker containers, and infrastructure as code with Terraform.