As a Senior Data Scientist on the Design team, you will play a pivotal role in transforming how some of the world's most critical infrastructure companies operate. The experiences you shape for both humans and agents will directly influence how complex projects are planned, deployed, and managed at scale.
We are rethinking what excellent UX means in an agentic world. When the interface is a model, the quality of the experience is no longer carried primarily by pixels and flows — it is carried by behavior. What the agent retrieves, what it decides, what it says, when it refuses, and how reliably it does all of that across thousands of real situations. Those are measurement problems, experimentation problems, and evaluation problems. They are your problems.
This role is ideal for someone who combines statistical rigor with a strong builder mentality — someone energized by ambiguity, fluent in model behavior, and obsessed with what "good" actually means and how to prove it. You will set the standard for how agent experiences are designed, instrumented, and held to a quality bar at Sitetracker — hands-on, technically deep, and relentlessly connected to customer outcomes.
You will be embedded in a scrum team — designing, measuring, and delivering alongside Engineering and Design on a day-to-day basis. You will own day-to-day decisions for your experience area, mentor others on rigor and method, and ship to production. For someone who wants to build, measure, and elevate the craft around them, this is the role.
The Skills You'll HaveAct with Agency
Thrive in fast-moving environments and deliver high-impact outcomes at pace
Independently identify ambiguous challenges and take ownership of driving them to resolution
Champion new ideas, influence stakeholders, and rally support around strategic initiatives
Identify workflows where AI tools and emerging technologies accelerate delivery, and make building the default way you work
Define what "good" means for an agentic experience and turn it into metrics, evals, and datasets that hold up under scrutiny
Design and analyze experiments — A/B tests, holdouts, shadow runs — with correct sizing, clean reads, and honest conclusions
Build offline and online evaluation systems for LLM behavior across correctness, grounding, safety, tone, and latency
Apply statistical and ML fluency to real, messy production behavior — distinguishing signal from noise and root cause from symptom
Turn complex enterprise workflows into agent experiences people can actually use without training
Design context architecture, decision paths, and communication patterns, and reason about how they shape behavior across the full input distribution
Work directly with customers — running pilots, mining usage, and iterating based on how they actually behave, including customers with complex needs or in delicate situations
Make tradeoff decisions across user needs, agent behavior, technical constraints, and business goals, and connect those decisions to commercial outcomes
Maintain running awareness of the competitive landscape across multiple verticals
Identify gaps and opportunities and produce analysis that connects to product and behavior decisions
Track market trends, adjacent products, and emerging tools, connecting what's happening in the market to what Sitetracker should be doing
Regularly contribute to competition and industry Slack channels with substantive observations
Within 90 Days, You'll:
Collaborate regularly with product management, design, and engineering peers, and have met key stakeholders across the departments you work with
Be on the phone with customers, learning their workflows, pain points, and how they use Sitetracker and Scout. Know the personas and subverticals
Deliver work to your scrum team — pushing code, building instrumentation and evals, and demonstrating the builder standard
Be able to confidently demo Sitetracker's core product in your area and give a solid cross-product demo
Stand up baseline evals and quality tracking for your area in Watch, and establish what you don't yet measure
Begin mentoring others and providing substantive feedback in reviews
Within 180 Days, You'll:
Lead the successful delivery of high-impact agent experiences across complex enterprise workflows
Own day-to-day decisions for your experience area independently, establishing leading indicators and making tradeoff decisions confidently
Architect Scout graphs and design sophisticated AI interactions, owning a comprehensive eval suite and tracking quality over time
Design and run experiments on real agent behavior, and run customer betas and previews independently — including with customers who have more complex needs or stronger opinions
Actively mentor others and raise the bar through consistent, high-quality reviews of evals, experiments, and agent designs
Contribute meaningfully to shared evaluation infrastructure and establish higher standards for quality measurement in your domain
Within 365 Days, You'll:
Point to product successes you have driven that have directly contributed to commercial outcomes
Be recognized as an expert in your domain — people across the org come to you when they need to understand your experience area or how its quality is measured
Ship code confidently to production, build the instrumentation and evals that keep quality honest, and operate as a true peer with engineering
Be trusted with the most complex customer situations and maintain relationships with key customers that you built and maintain on your own
Shape direction across multiple projects with well-reasoned, evidence-backed positions that influence the roadmap
Set the pace for delivery in your domain and make others faster by reducing ambiguity early
