Baseten
Manager, Solutions Architect
San Francisco
Sponsorship not specifiedDetected 75 days ago
DockerMachine LearningSparkLLMsProject ManagementResearchLeadershipCommunicationMentoring
About the role
- Take a look at these blog posts written by members of our
- Take a look at these blog posts written by members of our Forward Deployed Engineering team:
- Forward Deployed Engineering on the frontier of AI https://www.baseten.co/blog/forward-deployed-engineering/
Responsibilities
- Lead, mentor, and grow a team of Solution Architects, providing guidance on technical direction, project execution, and professional development.
- Collaborate with leadership to align team priorities with company and customer goals, balancing short-term delivery, widely varying customer priorities, and long-term technical initiatives.
- Team Management - Lead a team of Solution Architects who will:
- Partner with sales on customer discovery calls (most often second calls, occasionally first calls for large accounts).
- Lead demos and technical scoping to align on success criteria, architecture, and deployment approach.
- Own benchmarking and repeatable deployments, including handling standard deployment patterns and configurations across many modalities - LLMs, embeddings, image and video generation, VoiceAI, etc.
- Pulling in Forward Deployed Engineering (FDE) support when deeper or more complex technical work is needed.
- We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital.
- Join us and help build the platform engineers turn to to ship AI products.
Requirements
- AI/ML background and the ability to credibly discuss AI/ML topics with technical stakeholders.
- 4+ years of professional Solution Architecture/Solutions Engineering experience, including 1+ year in a leadership or mentorship capacity.
- Strong customer-facing communication skills, including the ability to run structured discovery and clarify ambiguous requirements.
- Ability to script and prototype as needed, including comfort "vibe coding" to move quickly in technical workflows.
Nice to have
- Experience running or supporting benchmarks for ML inference deployments.
- Familiarity with infrastructure tradeoffs relevant to inference performance and cost (for example GPU selection and latency versus throughput tuning).
- Professional Software engineering experience
- Company-facilitated 401(k)
Compensation
- Competitive compensation, including meaningful equity.
Benefits
- Competitive compensation, including meaningful equity.
- 100% coverage of medical, dental, and vision insurance for employee and dependents
- Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
- Paid parental leave
- Fertility and family-building stipend through Carrot
- Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
- If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
- By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production.
Company info
- At Baseten, we are committed to fostering a diverse and inclusive workplace.
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