About Mytra:

We’re creating an entirely new way to solve the most ubiquitous problem in industry - moving and storing material. We’re applying robotics and distributed software to create a new class of product for this $1T market. We’re focused on the supply chain industry first. The industry is in a massive bind with the continued growth of e-commerce, sharp rise in costs, and supply chain disruptions. What has been a “sleepy” industry for decades is now at the epicenter of sustaining the global economy.

About the role

You'll be an analytical engineer embedded in Mytra's commercial organization, using operations research methods — simulation, optimization, and data science — to solve customer design problems and validate warehouse automation solutions. You'll work directly on customer engagements: analyzing operational data, modeling system behavior, running design experiments, and translating findings into recommendations that land deals and shape what Mytra builds next. This role supports commercial systems & enablement, which serves as the technical and analytical backbone of Mytra's commercial pipeline

What you’ll do:

• Analyze customer operational data — order profiles, SKU demand patterns, throughput characteristics, and work schedules — to inform system design and sizing decisions.
• Design, build, and execute simulation models (discrete-event simulation, scoped scenario models) to validate warehouse designs and quantify system performance for customer proposals.
• Develop optimization models and recommender logic to support layout decisions, fleet sizing, zoning strategies, and other design trade-offs.
• Embed directly in customer engagement teams alongside solutions engineers and account owners; translate analytical findings into deliverables that are clear to both internal stakeholders and customers.
• Conduct structured experiments, sensitivity analyses, and design space explorations; communicate results and actionable recommendations to technical and non-technical audiences.
• Build repeatable analytical workflows, scenario configurations, and validation frameworks that raise the baseline capability of the broader commercial engineering org.
• Contribute to the team's shared tooling — modeling libraries, data pipelines, visualization templates, and automation — with an emphasis on enabling others to self-serve over time.

Ideal Candidates

• 5+ years of industry or relevant experience.
• Strong proficiency in Python, including object-oriented design and building production-grade code.
• Experience with at least two of: discrete-event simulation, mathematical optimization, statistical modeling, or applied data science.
• Ability to design experiments, analyze data, and communicate insights clearly to technical and non-technical audiences.
• Solid engineering fundamentals (systems thinking, algorithmic reasoning, version control, testing).
• Comfort working directly with customers or in customer-adjacent roles where your analysis informs high-stakes decisions

Nice to have:

• Professional experience on a modeling, simulation, operations research, or applied data science team.
• Familiarity with DES frameworks (SimPy, salabim, or equivalent).
• Background in warehouse automation, robotics, manufacturing systems, industrial engineering, or supply chain.
• Experience with data visualization tools (Plotly, Matplotlib, Dash, etc.).
• Experience building internal tools, modeling libraries, or analytical workflows used by others.
• Exposure to optimization solvers or libraries (OR-Tools, Gurobi, PuLP, scipy.optimize, etc.).

A Final Note:

If this role excites you, we encourage you to apply — even if you don’t check every box. At Mytra, we build bots, but we hire humans. We value thoughtful challengers who communicate with clarity and respect, and we’re lifelong learners committed to getting better every day. We move fast, learn faster, and show up for each other under pressure. The best outcomes come from diverse perspectives working together to build something meaningful and built to last

Benefits Include:

• Competitive compensation and equity grants at a high-growth company backed by top-tier VCs
• Fully subsidized health coverage, including medical (baseline plans), dental, and vision for employees and dependents
• 401(k) plans and employer-subsidized life insurance
• Fully subsidized lunch and snacks at HQ—we eat and share stories together at the “long” table
• Generous PTO and company-paid holidays, including one week over the winter break so everyone can recharge together
• Voluntary pet insurance, Voluntary Life Insurance, Accident, Critical Illness, and Hospital Indemnity
• Fully subsidized tax advisory services and education to help you understand your equity
• Commuter benefits, including a up to $150 monthly commuter benefit
• Lively, modern combined office and lab space where we rapidly iterate through design, build, and test phases
• Fully equipped onsite gym and showers at headquarters

Pay Notice

Compensation for this position will be set based on the candidate's experience level and location. The posted salary band is applicable only to the San Francisco Bay Area and is subject to change.