Jobs / United States / Mixpanel INC
Senior Software Engineer, AI Product Insights
Mixpanel INC · 🇺🇸 San Francisco, US (Hybrid)
Sponsorship verdict
Sponsorship possible
One solid signal, not two — worth applying, and worth asking about sponsorship early.
- Employer is on a government sponsor recordThe US Department of Labor certified 4 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 5 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
- What Mixpanel INC paid sponsored hires in similar roles4 certified filings for “Senior Software Engineer” (Software Developers) in CA: $175k–$214k, median $193k. Most were filed at wage level II (67%) — 2 lottery entries, ≈31% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
- Confirmed live todayWhen a source last listed this job as open.
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
A verdict summarises public evidence; it is not legal advice and never a guarantee — the employer and the immigration authority decide. Sign in to factor in where you can already work.
Or apply yourself on the official page →
Sponsor Radar — Mixpanel INC
The US Department of Labor certified 4 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 5 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Mixpanel INC →
About the role
About Mixpanel Mixpanel is the leading product intelligence and analytics platform, trusted by more than 29,000 companies to help understand how people use the products they build. By combining powerful analytics with AI that knows your business, Mixpanel helps teams see what’s working, diagnose what’s not, and decide what to build next. Learn more at mixpanel.com . About the Team The Proactive Insights team is a newly formed team at the center of Mixpanel's AI-first analytics vision. With a greenfield charter, we're building the intelligent layer that transforms Mixpanel from a tool you query into a partner that works for you. We answer the question every data-driven team asks: "What changed, why, and what should I do about it?" We proactively keep users informed about what matters in their data, delivering the right insights and recommendations at the right time, to the right places, both inside and outside of Mixpanel. Some examples of what we are building: • AI-powered root cause analysis : intelligent agents that diagnose why metrics changed, identify contributing factors, and recommend what to do next • AI automations for KPI monitoring : always-on agents that track your key metrics and deliver insights to Slack, email, or directly in Mixpanel • Intelligent alerts and anomaly detection : monitoring powered by models like TimesFM that surfaces meaningful shifts in your data About the Role As a Software Engineer on Proactive Insights, you'll build the features that transform how teams stay on top of their data. You'll work across the full stack, from React frontend experiences to Python backend services to integrating with our query engine, to ship workflows that surface insights users didn't know to ask for. You'll collaborate closely with Product and Design to shape what proactive analytics looks like, and with our AI Engine team to leverage shared infrastructure for orchestration, evaluation, and observability. This is a high-impact role on a small, fast-moving team where your work will define a new product category for Mixpanel. Responsibilities • Build AI-powered features end-to-end, from agent logic and query orchestration to frontend visualization and delivery • Design and implement user experiences for surfacing automated insights: dashboards, notifications, digests, and interactive analysis flows • Collaborate with Product and Design to define what proactive analytics looks like and how users interact with AI-generated insights • Partner with the AI Engine team to integrate shared tooling for agent orchestration, evaluation, and observability • Instrument tracking and build dashboards to measure feature adoption and the quality of AI-generated insights • Participate in team on-call rotation to improve our systems and keep them healthy We're Looking For Someone Who Has • Bachelor's degree in Computer Science, Mathematics, a related field, or equivalent practical experience • 5+ years of professional software engineering experience • Strong full-stack fundamentals: you're comfortable working across frontend, backend, and data layers • Excellent debugging and technical investigation skills • Strong technical communication, ideally with experience collaborating in an asynchronous remote environment • Ability to move fast and iterate in ambiguous, greenfield problem spaces: you take ownership and focus on delivering value to users • A data-driven mindset and genuine curiosity about how people use analytics tools • A desire to be on the forefront of leveraging AI to drive product improvement at thousands of companies Bonus Points For • Experience building with LLMs, AI agents, or tool-use frameworks • React / TypeScript experience • Django / Python experience • Familiarity with analytics or o