Sisense is the leading AI-powered analytics platform that helps software companies and product teams build smarter, embedded analytics experiences directly into their applications. With Sisense Intelligence - our suite of agentic AI capabilities - we empower application builders to deliver governed conversational analytics, accelerate development with natural language tools, and turn data into actionable insights and revenue.

We're investing heavily in the foundational platform that powers this vision and are looking for a sharp, technical Product Manager to help shape the next generation of our Data & Analytics Platform. You'll drive the core infrastructure, APIs, developer tools, and AI-enablement capabilities that make Sisense the most flexible and powerful choice for embedding intelligence at scale.

We are looking for…

The Sisense Product Team is seeking a highly motivated Technical Product Manager with a deep passion for platform products, data systems, developer experience, and AI-powered analytics.

This role suits someone who thrives working hand-in-hand with engineering teams, dives deep into technical architecture, and excels at turning complex platform challenges into clear, customer-focused product direction. You will own critical platform foundations that enable application builders to create scalable, secure, composable, and intelligent analytics experiences - from low-code/no-code tools to pro-code extensibility.

We're looking for a curious, analytical, and hands-on PM who is excited by deeply technical areas: infrastructure, platform services, data modeling, APIs, developer SDKs, AI integration, and the capabilities that power modern embedded analytics.

Requirements

• 1–3 years of experience in Product Management, Technical Product Management, Solutions Engineering, Software Engineering, or a similar role, with a strong technical foundation.
• Experience with platform products, developer tools, APIs, data platforms, infrastructure, embedded analytics, or AI/ML technologies is a strong advantage.
• Solid technical understanding and comfort engaging in discussions on architecture, system design, scalability, reliability, APIs, data modeling, and technical trade-offs.
• Ability to break down complex technical concepts into clear product requirements, user stories, prioritization frameworks, and actionable roadmaps.
• Excellent English communication skills; ability to collaborate effectively with technical (engineering, architecture) and non-technical (go-to-market, customers) stakeholders.
• Customer-obsessed mindset, with a talent for deeply understanding the needs of application builders, developers, and end-users, then translating them into high-impact platform solutions.
• Hands-on and detail-oriented, with a natural tendency to ask “why,” challenge assumptions, and relentlessly validate that delivered capabilities solve real problems.
• Comfortable working side-by-side with engineers on feature design, technical dependencies, implementation trade-offs, and connecting platform work to measurable customer and business value.
• Proven ability to lead product capabilities end-to-end: from discovery and validation through delivery, launch, and adoption.
• Strong prioritization and execution skills in a complex, cross-functional environment; bias for action and ownership.
• Experience working with AI technologies, LLMs, agentic systems, or shipping AI-powered capabilities is a significant advantage.

Your Responsibilities

• Own and drive key components of the Sisense Platform, focusing on foundational technical capabilities, infrastructure, APIs, data services, and developer-facing tools that power Sisense Intelligence and embedded experiences.
• Define clear product requirements for platform services, Compose SDK, MCP connectivity, AI integration layers, internal infrastructure, and extensibility features; drive them from discovery to launch and post-launch optimization.
• Partner closely with Engineering, Architecture, and Design teams to make smart, balanced product and technical decisions that balance speed, scalability, reliability, and innovation.
• Collaborate with customers, product leaders, and go-to-market teams to uncover needs, validate problems, and prioritize platform investments that deliver maximum impact for application builders.
• Work with other PMs to ensure seamless end-to-end experiences that let developers and product teams leverage the full power of Sisense’s AI-driven analytics engine.
• Prioritize backlog based on customer value, technical strategy, scalability, security, developer experience, and long-term platform health.
• Communicate roadmap, strategy, and decisions transparently to stakeholders across Product, Engineering, Support, Sales, Marketing, and Customer Success.
• Create high-quality internal and external documentation, presentations, and enablement materials that clearly articulate the value and usage of platform capabilities.
• Contribute to and help evolve Sisense’s overall platform strategy, ensuring it remains scalable, extensible, secure, AI-native, and developer-friendly.

Why you should join our team

Sisense is redefining embedded analytics by moving far beyond traditional dashboards. We deliver a full-stack Analytics Platform as a Service (AnPaaS) that combines powerful data modeling, composable embedding tools, and Sisense Intelligence - our agentic AI suite (including Assistant, Managed LLM, and MCP server) - to help application builders prototype faster, embed conversational analytics, and deliver governed, actionable insights directly inside their products.

In this role, you'll tackle challenging technical problems at the heart of the platform, influence foundational decisions that impact thousands of developers and end-users, and work alongside talented teams across Product, Engineering, Design, and Go-to-Market. If you’re passionate about platform thinking, technical depth, AI enablement, and building the infrastructure that powers other great products, this is your chance to make a significant impact in a fast-evolving space.

About Shelf

The enterprise is going agentic — but most AI agents fail when they hit real business complexity. Shelf is changing that.

We’ve built the operating system for agentic AI: a platform that models your policies, workflows, and operational logic into an AI Data Model so agents don’t just respond — they reason. The result? AI that understands how your business actually runs and delivers precise, compliant, auditable outcomes at scale.

Brands like Amazon, Nespresso, HelloFresh, and KeyBank trust Shelf to power AI agents that resolve 85% of cases autonomously, cut handle times by 20–25%, and turn hours-long processes into seconds. We’re partnered with Microsoft, Salesforce, OpenAI, Snowflake, and Databricks — and recognized by Gartner (Cool Vendor) and IDC (Innovator) for our approach.

If you want to sell the infrastructure that makes agentic AI actually work in the enterprise, you’re in the right place.

Our mission is to empower humanity with better answers everywhere.

Summary

The R&D department plays a pivotal role in driving Shelf to disrupt the market. We are looking for Machine Learning experts that are able to deliver end to end with a blend of experience: Python engineering, ML engineering, and pragmatic Data science and Machine learning research. You will ship end-to-end features—from problem framing and experimentation to service deployment, and ongoing operations—quickly and with high quality. Your work will power ML- and LLM-driven services used by top enterprises like Amazon, Mayo Clinic, AmFam, and Nespresso.

This role requires strong Python engineering capabilities coupled with a strong ability to deliver robust ML solutions, along with ML research literacy to choose sound methodologies, define metrics, and evaluate different approaches effectively.

You’ll work in an agile environment, move fast, and own what you ship.

Responsibilities

• Own end-to-end delivery: ideate, research, prototype, productionize, and operate ML-powered services with an expectation to iterate and ship frequently
• Stand up robust training/evaluation pipelines: dataset curation, labeling/feedback loops, experiment tracking, offline/online metrics, and A/B testing
• Solve problems using sound methodology, evaluate approaches along with 
• Transform ML models and LLM workflows (including RAG) into reusable, versioned, observable production services with CI/CD
• Collaborate with Product Owners to shape our product and requirements
• Conduct and receive code reviews; champion engineering excellence, testing discipline, and documentation
• Leverage AI coding assistants to accelerate development and create internal agents that automate parts of the engineering workflow
• Share learnings through demos, docs, and knowledge sessions; contribute to a culture of continuous improvement

Requirements

• 3+ years of professional experience researching and shipping ML-based solutions, with strong Python skills and a track record of delivering fast without sacrificing quality
• Proven experience in owning research problems end-to-end, starting from initial data analysis, through iterative research phases to delivering on production
• Practical NLP/LLM experience: transformers, embeddings, prompt design, and evaluation; ability to choose and justify metrics and methodologies
• Strong backend fundamentals: designing RESTful services, schema design, data modeling, and performance tuning for SQL and NoSQL stores
• Data processing skills: pandas/NumPy; experience with batch/stream processing and ETL orchestration (e.g., Airflow, Step Functions)
• Strong English verbal and written communication

As a plus

• LLM ops and safety: eval frameworks (e.g., RAGAS), guardrails, red-teaming, prompt optimization at scale
• Model optimization: quantization, distillation, pruning; GPU/accelerator-aware serving
• Experience with AWS ML stack (SageMaker, Batch, Step Functions, Lambda, SQS/SNS, DynamoDB, ECS, EC2, S3)
• Vector databases and search: Pinecone, Elasticsearch, pgvector, FAISS, or DeepLake
• Background in reinforcement learning, agent frameworks, or autonomous agents
• Publications, open-source contributions, GitHub portfolio

What Shelf Offers

• B2B contract
• Company Stock Options
• Hardware: MacBook Pro
• Modern technical stack. Develop open-source software
• Premier AI development environment: GitHub Copilot, Claude Code, OpenAI, TypingMind, v0, MCP Servers, plus credits to experiment with emerging AI tools

Why Shelf

• Our Leadership Team has deep knowledge management and AI domain expertise and enterprise SaaS background to execute this plan
• We love our customers and our customers love us. Ask a Shelf customer why, and they’ll tell you it’s because of our innovative capabilities, rock-solid reliability, they truly enjoy working with our people, but most of all – it’s the improvements they see in their business KPIs.
• We have raised over $60 million in funding and our investors include Tiger Global, Insight Partners, Connecticut Innovations, and others
• We have high velocity growth powered by the most innovative product in our category, 3X growth for 3 years in a row
• We now have over 100 employees in multiple U.S. states and European countries, and we have ambitious hiring goals over the next few months

Our Values:

Quality - We’re united by our focus on world‑class Quality. Quality in all things – starting with everything that leaves your desk. Everything you touch – every email, report, campaign, and piece of code – should be outstanding. Your work product should blow people away. Having people look at what you’ve done and say, “Wow.” That’s the standard here. Remember that how you do anything is how you do everything. Focus on craftsmanship—your ability to make things better.

Momentum - for us means that you should know that the things you’re responsible for are moving forward. When you look around and see something that’s stalled, get it moving again. We pride ourselves on “ball movement.” When your boss or team leaves you with something, they should return to see measurable progress. Small, continuous movement is our recipe for success. Constantly look for how to make the work around you move forward. We want you to initiate solutions, ideas, and progress. Don’t wait for it to come to you—reach out and create movement. All the time.

Accountability - We expect every team member to feel that they are accountable for more than anyone might normally expect. Each of us should feel real responsibility for things even at the edge of our control. We consistently share and align on expectations, give each other open and respectful feedback, and use those two drivers to ensure that every agreement we make with one another is clear and complete.

Hard Work - We’re here to do something difficult together. We care intensely about the mission and we expect that from our teammates. That care means that we work hard here. Hard work comes with long hours, extra effort…and real opportunity at Shelf. Your passion for creating and sustaining output is a part of our DNA. Support each other, cheer each other on, drive the mission forward. Great teams sustain intense effort together to win.

Learning Agility - We’re innovating in one of the fastest‑moving spaces in history at a time of accelerating global change. That’s incredibly exciting and requires each of us to commit fully to learning each and every day so that we can be the best at what we do. None of us know everything. All of us can learn anything. Staying open and constantly curious is a key success driver at Shelf. It also requires humility. We prize people who are consistently humble and open to making mistakes and growing from them. Recognize also that learning itself is a skill…we need you to be really good at it. Keep dialing in your own understanding about how you learn best and push yourself to keep growing.

Adapt and Thrive - Overcoming challenges lives deep in our DNA. We have a proud history of understanding and living the reality that obstacles are our opportunities…they’re the key to our success. Change is a constant in our business and fighting change is counterproductive. We need you to be good at being uncomfortable and understand that discomfort is the key to growth. Cultivate your own ability to adapt and know that struggling well is something you’ll share with every team you’re on at Shelf. Our company stories are about thriving through real difficulty…together.

Win Together - We win or lose as a team. Always. Everything you do here is connected to the rest of the organization. Part of our shared team environment demands full honesty…real candor and directness with one another. We expect you to constantly be thinking about how to support your teammates and the company, always acting in service to our shared mission and what’s best for the organization as a whole.