Role Overview

We’re looking for a Senior Product Designer who can independently own complex product experiences and design the next generation of AI-driven analytics interfaces. This is an Individual Contributor role where you will drive design end-to-end — from early concepts and system thinking to polished product experiences shipped to users. You will collaborate closely with Product, Engineering, and Data teams to simplify complex analytics workflows into intuitive and powerful user experiences.

Key Responsibilities

Own end-to-end product experiences

• Own and drive design for entire product areas
• Take ideas from concept → exploration → prototype → shipped product

Design AI-powered workflows

• Design intuitive experiences for AI insights, data exploration, and automation workflows
• Create multi-modal interfaces combining chat, visualizations, tables, and actions

Systems thinking

• Design for AI agents, orchestration flows, and non-deterministic outputs
• Think in states, flows, and decision paths, not just static screens

Simplify complex data interactions

• Apply strong information architecture and progressive disclosure
• Turn complex analytics outputs into clear, actionable experiences

Design for trust in AI

• Create patterns for confidence indicators, provenance trails, and editable AI outputs
• Help users understand what the AI did and why

Work fast with modern design workflows

• Use tools like Figma AI, Claude, v0, and Midjourney to rapidly prototype and iterate
• Focus on fast experimentation over pixel-perfect initial designs
  
  

Top Signals We Look For

The strongest candidates for this role usually demonstrate:

• Systems thinking — designing flows, states, and intelligent behaviors rather than just screens
• Data product experience — experience designing dashboards, analytics tools, or complex data interfaces
• AI & conversational UX understanding — comfort designing interfaces where AI responses may vary
• Strong ownership mindset — ability to independently drive design decisions and ship product experiences
• Speed and iteration — ability to rapidly prototype and test ideas using modern AI-assisted workflows

What We’re Looking For

• 6+ years of product design experience in enterprise SaaS, analytics, or AI products
• Strong portfolio showcasing data-heavy products, dashboards, or AI interfaces
• Experience working as an Individual Contributor owning product areas or features
• Expertise in Figma (design systems, components, prototyping)
• Strong understanding of data visualization and information architecture
• Ability to translate complex workflows into intuitive user experiences
  
  

Why Join Tellius

• Design at the intersection of AI, analytics, and conversational interfaces
  
• Work on products that redefine how people interact with data
• Collaborate with talented teams across Product, Engineering, and Data Science

The Role

We're looking for an AI-Native Product Manager to own one or more of our core agentic analytics product areas. This is not a traditional PM role where you write specs and hand them off. This is a role where you'll be deeply in the product, using AI tools daily, making autonomous calls, and shipping continuously.

You'll own the full lifecycle — from understanding why a pharma brand manager can't trust an AI insight, to defining the product, to shipping it, to measuring whether it actually changed a decision.

What You'll Own

You'll work across one or more of Tellius's core product pillars:

• Conversational Analytics — Natural language interaction with enterprise data. Users ask questions; AI agents investigate autonomously and deliver insights with reasoning and evidence. Handles both structured data warehouses and unstructured documents.
• AI-Generated Interfaces — Moving beyond static dashboards to dynamic, context-aware visualizations. The system generates the right interface for each specific insight — whether that's summary cards, interactive charts, or narrative explanations.
• Onboarding & Setup Automation — Reducing time-to-first-insight from days to minutes. AI-powered workflows that understand data relationships, suggest transformations, and validate configurations before users go live.
• Cross-Platform Intelligence — Bringing Tellius's AI capabilities into the tools users already work in. Ambient assistance that understands context across different enterprise applications.
• Vertical Intelligence — Pre-configured domain knowledge for specific industries (pharma, CPG, finance) — understanding their metrics, workflows, and decision-making frameworks out of the box.

You won't own all of these simultaneously. You'll own the ones that match your experience and where you can drive the most impact. But you'll need to understand how they all connect — because Tellius is a platform, and the product decisions in one area affect all the others.

What "AI-Native" Means Here

This isn't a role where "AI" is a buzzword in the job title. We mean it operationally:

You will use AI tools to do your job. Prototyping, research synthesis, competitive analysis, spec drafting, data exploration — all of it. If you're not reaching for an AI tool first, you're working the wrong way here.
You will build AI products. The products you ship involve autonomous agents making decisions, surfacing insights, and taking actions. You need to understand — at a working level — how LLMs reason, where they fail, how to design for uncertainty, and how to build trust into AI-driven workflows.
You will think in systems. Agentic analytics isn't a single feature. It's a web of interconnected capabilities: memory, semantic layers, reasoning chains, action workflows, and governance. Your job is to make these systems work together coherently for real enterprise users.

What We're Looking For

Must-Haves

1.  Deep AI Product Experience: You've shipped products where AI/ML is the core interaction, not a bolt-on. You understand the difference between "AI-powered" and "AI-native." You've wrestled with hallucination, confidence calibration, and explainability in production — not just in theory.
2.  AI Evaluation & Testing Expertise: You've built evaluation frameworks to test and validate agent behavior at scale. You understand how to use LLM-as-a-judge for automated testing, create human evaluation rubrics, design test scenarios that catch edge cases, and measure output quality beyond simple accuracy metrics. You know the difference between vibes-based testing and rigorous validation.
3.  Enterprise Analytics Domain Knowledge: You know what a pharma commercial analytics director actually does on a Tuesday. You understand semantic layers, data governance, metric definitions, and why an enterprise user needs to audit an AI's reasoning before acting on it. You don't need to write SQL, but you need to understand why the query matters.
4.  Agentic Systems Thinking: You can design product experiences where AI agents work autonomously — and where humans need to understand, guide, and override that autonomy. You think about agent memory, multi-step workflows, proactive vs. reactive triggers, and how to show reasoning without overwhelming users.
5. Speed and Autonomy Tellius is a 75-person company moving fast. You'll make calls without perfect information. You'll ship before it's polished. You'll iterate based on real user feedback, not months of research. You need to be comfortable with this pace and thrive in it.
6. Cross-Functional Collaboration You'll work closely with 44 engineers, 3 other PMs, designers, and a small GTM team. You need to be the person who connects engineering capability to business needs. Sales and CS are your frontline intelligence — you should be in their world regularly, not just at QBRs.

Strong Signals

• 5+ years of product management experience, with a majority in growth-focused roles
• You've built products in analytics, BI, data platforms, or AI/ML
• You've worked in a company serving regulated industries (pharma, finance, healthcare)
• You understand and can articulate the difference between a dashboard product and an agentic product
• You've designed for AI transparency and explainability
• You can prototype and use AI tools fluently in your workflow
• Technical background or ability to work effectively with engineering teams
• You ask, "What decision does this enable?" before "What feature should we build?"

What We Don't Need

• A PM who treats AI as a feature checkbox
• Someone who needs 6 months of onboarding before shipping anything
• A process-heavy PM who needs a fully defined roadmap before starting work
• Someone who can't navigate ambiguity — our product surface is expanding rapidly

What You'll Do (Day-to-Day)

Understand the user deeply. Talk to pharma commercial managers, CPG RevOps teams, and finance analysts. Understand their workflows, their trust requirements, and their relationship with data. Don't rely on secondhand intel — be in the room (or on the call).
Define and ship product. Write lightweight specs (not 20-page PRDs). Work with engineers to understand technical constraints and possibilities. Make trade-off calls. Ship. Measure. Iterate.
Use AI to move faster—prototype with AI tools. Synthesize research with AI. Draft specs with AI. Explore data with AI. If you're doing something manually that AI could do, stop and fix that first.
Think about the platform. Every feature you build connects to the broader Tellius platform. A decision about how Kaiya surfaces insights affects how Apps renders them, which affects how the Browser Extension presents them. Think in systems.
Drive outcomes, not features. Your success metric isn't "shipped 12 features this quarter." It's "influenced 50 enterprise decisions" or "reduced time-to-insight from 20 hours to 30 minutes." We measure value by what changes in the real world, not what ships in the product.
Own trust and governance. Enterprise users — especially those in the pharmaceutical and financial industries — need to trust AI outputs. You'll think about explainability, audit trails, data lineage, and confidence communication as core product requirements, not afterthoughts.
Culture: We're an AI-first, outcome-focused, and lean organization. We don't do unnecessary meetings. We do write things down. We move fast and iterate. We trust each other to make calls. And we care deeply about building products that enterprise users actually trust.

Compensation & Benefits

• Competitive base salary + equity (Series stage, early growth)
• Full benefits package

Learning budget for courses, conferences, and tools

Ready to Apply?

We don't want a cover letter. We want to see how you think.

Send us:

1. A product you've shipped that involved AI as a core interaction — what was the hardest trust or explainability problem you solved?
                                             OR
2. If you had 30 days at Tellius, what's the first thing you'd investigate and why?

That's it. Keep it short. We'll know if you're the right fit.

Role Overview

As a DevOps Engineer, you will support the reliability, scalability, and deployment of Tellius platforms. This role involves close collaboration with engineering, QA, and customer-facing teams and requires strong communication skills to clearly explain technical issues and updates.

Key Responsibilities

• Design, maintain, and improve CI/CD pipelines for reliable application releases.
• Provision and manage cloud infrastructure using Terraform and IaC best practices across AWS, GCP, or Azure.
• Deploy, operate, and troubleshoot applications on AWS/GCP (preferred).
• Manage containerized workloads using Docker and Kubernetes.
• Monitor system health, performance, and availability using Prometheus, Grafana, and ELK Stack.
• Automate manual and repetitive tasks using Shell or Python.
• Contribute to application codebases and collaborate with developers on microservices and API integrations.
• Collaborate with developers and QA teams to ensure zero- or minimal-downtime deployments.
• Assist in implementing security controls, backup strategies, and disaster recovery processes.
• Participate in technical and customer-facing discussions, including deployment updates, issue triage, and clarifications related to the environment.

What Success Looks Like in This Role

• You can independently manage and support CI/CD pipelines with minimal supervision.
• You respond to production or customer-reported issues calmly and communicate updates clearly and effectively.
• You understand system architecture well enough to explain incidents to customers and internal stakeholders.
• You proactively identify opportunities to automate processes and improve system reliability.

Required Skills & Qualifications

• 2+ years of hands-on experience in DevOps, SRE, or a similar engineering role.
• Experience working across multiple cloud providers (AWS and GCP/Azure)
• Working knowledge of Docker and Kubernetes operations.
• Experience using Terraform or similar IaC tools.
• Proficiency in Shell or Python scripting.
• Proficiency in at least one backend language (Python, Go, or Java).
• Solid understanding of Linux/Unix systems, networking fundamentals, and cloud security basics.
• Familiarity with CI/CD tools such as Jenkins, GitHub Actions, or GitLab CI.
• Excellent communication skills, including experience writing incident reports or post-mortems, and comfortable presenting in customer calls or internal reviews.

Good to Have

• Exposure to GitOps tools such as ArgoCD or FluxCD.
• Experience with Helm for Kubernetes package management.
• Exposure to service mesh technologies (Istio, Linkerd).
• Familiarity with incident management tools (PagerDuty, Opsgenie, Jira).
• Basic understanding of SLAs, SLOs, and production reliability concepts.
• Prior experience working with customer-facing engineering or support teams.

Growth Opportunities

• Hands-on mentorship and learning opportunities across DevOps, SRE, and platform engineering.
• Clear career progression paths toward Senior DevOps Engineer or SRE roles.

Tellius offers competitive compensation packages commensurate with experience, along with full benefits, continuous learning opportunities, and clear career growth paths.

We are growing our data science team and looking for a passionate individual who can bridge the gap between business problems and data solutions.

Key Responsibilities

• Own the end-to-end problem-solving lifecycle: business context → data → AI-driven insights → outcomes
• Work directly with customers and internal teams to understand business problems and define solutions
• Analyze large, complex datasets using SQL and Python
  
• Design and deliver AI-powered analytics solutions using Tellius
• Translate ambiguous business problems into structured analytics or AI workflows
  
• Build and demo insight-driven dashboards and narratives for business users
• Partner closely with Product, Engineering, and GTM teams
  
• Present insights and recommendations confidently to business and technical stakeholders
  

Must-Have Skills

• 3+ years of experience in data science, solutions engineering, or analytics consulting
• Strong hands-on skills in SQL and Python
  
• Experience with cloud data platforms (Snowflake, Databricks, Redshift)
• Hands-on experience with LLMs and AI agents, including prompt engineering, RAG pipelines, AI agent workflows, and deploying AI-driven solutions beyond basic ChatGPT usage.
• Understanding of agentic AI concepts: memory, tool usage, orchestration, multi-step reasoning
• Experience with analytics platforms such as Tableau, Power BI, and ThoughtSpot (you understand what Tellius replaces)
• Domain exposure in pharma commercial analytics, CPG/retail analytics, or FP&A (at least one)
• Strong storytelling, presentation, and stakeholder management skills
• Comfortable in customer-facing roles
  

Good to Have

• Prior experience in an analytics or AI SaaS product company
  
• Exposure to enterprise decision workflows
  
• Experience demoing or solutioning for clients

Who You Are

• Curious, analytical, and business-minded
• Comfortable working in ambiguity
• Excited about AI-native analytics and agentic systems
  
• Strong communicator who can turn insights into action

Why Join Tellius

• Build next-gen, AI-native analytics products
  
• Work on real customer problems with measurable impact
• Collaborate with top talent across AI, data, and product
• Fast growth, high ownership, and strong learning opportunities