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At Serve Robotics, we’re reimagining how things move in cities. Our personable sidewalk robot is our vision for the future. It’s designed to take deliveries away from congested streets, make deliveries available to more people, and benefit local businesses. The Serve fleet has been delighting merchants, customers, and pedestrians along the way in Los Angeles, Miami, Dallas, Atlanta and Chicago while doing commercial deliveries. We’re looking for talented individuals who will grow robotic deliveries from surprising novelty to efficient ubiquity. WHO WE ARE We are tech industry veterans in software, hardware, and design who are pooling our skills to build the future we want to live in. We are solving real-world problems leveraging robotics, machine learning and computer vision, among other disciplines, with a mindful eye towards the end-to-end user experience. Our team is agile, diverse, and driven. We believe that the best way to solve complicated dynamic problems is collaboratively and respectfully. Responsibilities - Lead the Team: Lead, mentor, and grow a team of data and analytics engineers. This includes hiring, performance management, career development, planning, and setting technical standards. - Technical Leadership: Define the data engineering and analytics roadmap, aligned with company goals. This includes prioritizing data platform investments, reporting needs, analytics capabilities, and cross-functional data initiatives. - Data Platform Ownership: Oversee the design, reliability, scalability, and governance of the company’s data infrastructure, such as data warehouses, data lakes, ETL/ELT pipelines, orchestration systems, semantic layers, and BI tooling. - Analytics Delivery: Ensure business stakeholders have accurate dashboards, metrics, reporting, and ad hoc analysis to support decision-making across functions such as product, operations, finance, sales, marketing, and executive leadership. - Empowering Self-Service: Make self-service an organization-wide goal by building rich, trusted datasets and enabling access through AI-powered natural language interfaces. - Data Quality and Governance: Establish standards for data accuracy, lineage, documentation, access controls, privacy, security, and compliance. Qualifications - 6+ years of professional experience in data engineering and analytics including 2+ years experience leading teams of Sr. Data/Analytics Engineers. - Data leadership experience: Proven experience managing data engineering, analytics engineering, BI, or analytics teams, including hiring, coaching, performance management, and roadmap planning. - Strong technical foundation: Deep understanding of data warehouses, data lakes, ETL/ELT pipelines, orchestration, data modeling, BI platforms, semantic layers, and data quality practices. - Experience with modern data stacks: Hands-on experience with tools such as Snowflake, BigQuery, Redshift, Databricks, dbt, Airflow, Fivetran, Looker, Tableau, Power BI, or similar platforms. - Cross-functional, business-oriented partnership: Strong track record partnering with executives and teams across product, operations, finance, engineering, sales and marketing, translating business goals into data strategy, dashboards and analytics products that improve decision-making. - AI-powered self-service analytics experience: Demonstrated ability to build trusted, governed data products and enable organization-wide access through natural language or AI-powered analytics interfaces, with strong controls for accuracy, security, privacy, compliance and usability. - Data governance expertise: Experience establishing standards for data quality, documentation, access controls, privacy, security, auditability, metric definitions, and trusted data products, including SOX, SOC2 compliance and compliance with international data policies and regulations (e.g., GDPR, data residency requirements). - Education or equivalent experience: Bachelor’s degree in computer science, data science, engineering, statistics, mathematics, information systems, or a related field. Advanced degrees are a plus. *Please note: The listed base salary range applies to candidates based in the US. Compensation may vary depending on location, experience, and role alignment. We are open to qualified candidates working remotely in Canada - Canada - ALL: $179,976 - CAD- $221,828 CAD

Listed by Serve Robotics for a position based in the United States. Employers on this board attest they are hiring domestically.

Engineering

116 days ago

Software Engineer, Agents

Cartesia · San Francisco, California, United States

Pay

$180k–250k

Setting

On-site

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Software Engineer, Agents LOCATION *HQ - San Francisco, CA EMPLOYMENT TYPE Full time LOCATION TYPE On-site DEPARTMENT Engineering COMPENSATION $180K – $250K • Offers Equity Overview Application ABOUT CARTESIA Our mission is to architect AI that learns from and interacts with the world like humans do. We're pioneering the model architectures that will make this possible. Our founding team met as PhDs at the Stanford AI Lab, where we invented State Space Models or SSMs, a new primitive for training efficient, large-scale foundation models. Our team combines deep expertise in model innovation and systems engineering paired with a design-minded product engineering team to build and ship cutting edge models and experiences. We're funded by leading investors at Index Ventures and Lightspeed Venture Partners, along with Factory, Conviction, A Star, General Catalyst, SV Angel, Databricks and others. We're fortunate to have the support of many amazing advisors, and 90+ angels across many industries, including the world's foremost experts in AI. ABOUT THE ROLE Cartesia is hiring a Software Engineer, Agents to build the backend platform behind Line, our voice agents product. The Agents stack — a Go API with Python workers — is what customers rely on to run real-time, production-grade voice agents. You'll own backend work end-to-end and directly shape the latency, reliability, and developer experience of every agent built on Cartesia. YOUR IMPACT Build and operate the distributed systems behind Cartesia's voice agents: load balancing servers, workers, and the realtime media pipelines that tie them together. Take projects from spec to production: design, build, ship, monitor, iterate. Make the architectural calls that compound over time — latency budgets, reliability targets, scaling primitives — and clearly articulate the tradeoffs. Define the developer experience for engineers building on Cartesia: APIs, observability, and applied evaluations. WHAT YOU BRING 3+ years building distributed backend systems in production, ideally at a high-growth startup. We care more about what you've shipped than strict YOE. Strong product instincts for platform work - you think in customer-facing latency, reliability, and developer experience, and you have opinions on what to build and why. Second-order thinking about backend architecture - you can explain why a design choice was made and what it trades off. Fluent, day-to-day use of AI coding tools, and a habit of keeping pace with the frontier. A strong communicator with both technical and non-technical audiences; comfortable writing clear specs and contributing actively in design reviews. NICE-TO-HAVES Experience with Go and/or Python in a backend platform context. Realtime media systems in production (WebRTC, SIP, RTP, low-latency audio) Deep experience with cloud and infra primitives (Kubernetes, Docker, NATS, gRPC, OpenTelemetry and modern observability stacks). Distributed systems at scale dealing with non-trivial throughput, autoscaling, multi-region architectures. Voice agents or agent framework experience (Pipecat, LiveKit, OpenAI Agents SDK, Claude SDK, Vercel AI SDK). Note: Cartesia participates in E-Verify and will provide the federal government with Form I-9 information to confirm employment eligibility after hire. MORE DETAILS 🏢 In-office policy: We’re an in-person team based out of offices in 🇺🇸 San Francisco, 🇬🇧 London and 🇮🇳 Bangalore. We love being in the office, hanging out together, and learning from each other every day. 🌎 Visa sponsorship: We provide visa sponsorship support and assess each circumstance on a case-by-case basis. However, visa sponsorship is dependent on many factors, including the role you are applying for, and the location you are going to be based, and so we can't always guarantee success. Your Recruiter will work with you to understand your visa sponsorship needs from the first call. 🚢 We ship fast. All of our work is novel and cutting edge, and execution speed is paramount. We have a high bar, and we don’t sacrifice quality or design along the way. 🤝 We support each other. We have an open & inclusive culture that’s focused on giving everyone the resources they need to succeed. OUR BENEFITS (US EMPLOYEES ONLY) 💰 Compensation Competitive base salary alongside attractive equity package. 🩺 Health Insurance Fully covered medical insurance along with dental and vision for you and your family. 🧑‍🧑‍🧒‍🧒 Parental Leave 9 weeks paternity & 12 weeks maternity leave 🏦 401(k) 🚆 Commuter Allowance A monthly stipend to help you get to and from the office. 🏖️ Flexible PTO Take as much time as you need to recharge your batteries. 🍲 Meals & Snacks Lunch, dinner and plenty of snacks, provided daily. 🦖 Your own personal Yoshi OUR COMMITMENT TO EQUAL OPPORTUNITY Cartesia is an equal opportunity employer. We consider qualified applicants without regard to race, color, religion, sex, national origin, age, disability, veteran status, genetic information, or any other legally protected status. Apply for this Job Powered by Privacy PolicySecurityVulnerability Disclosure

Listed by Cartesia for a position based in the United States. Employers on this board attest they are hiring domestically.

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