Conveyor Logo

Conveyor

Staff AI Engineer

Reposted 10 Days Ago
Remote
Hiring Remotely in United States
Expert/Leader
Remote
Hiring Remotely in United States
Expert/Leader
The Staff AI Engineer will analyze AI quality, implement improvements, manage projects, collaborate with teams, and shape AI capabilities in a remote-first environment.
The summary above was generated by AI
Why join Conveyor?

Hi, we’re Conveyor 👋, creators of the #1 Customer Trust AI automation platform.

We solve problems that our customers “hate with the fury of 1000 suns” (actual quote!) - the dreaded customer security review and RFP processes. These are key parts of the B2B sales cycle, but both still involve too much time, effort, and mental anguish from those involved.

Enter Conveyor, where our mission is to eliminate all of the misery from B2B customer trust with maximum automation. We’ve made a lot of progress – we have an awesome customer list whose lives we’ve significantly impacted through product, this year we launched the first AI agents for security reviews (Sue) and RFPs (Phil), and we just raised a $20M Series B from SignalFire and OVF! (TechCrunch) But we have ambitious goals and we’re looking for our next Staff AI Engineer to help make them a reality!

The top 3 1/2 reasons you should be interested in working at Conveyor:

  1. You’ll be selling a great product with a slam dunk AI use case while building sales processes and foundations to help scale the business.

  2. Everyone on the team is amazing at their jobs. We care deeply about psychological safety, and believe that the ability to take risks and exist in the learning zone is critical to our success. This also comes with high accountability, which isn’t for everyone. But, you have the potential to have an outsize impact on the direction and success of the company.

  3. We’re highly transparent and collaborative. Giving constructive, thoughtful feedback and asking hard questions are highly encouraged! We come together to figure it out when times are hard, and in celebration when we get our wins.
    1/2. Plus, we’ll even teach you how to saber a bottle of champagne

About the Role

As one of the first AI engineers on the team, this is a unique opportunity to shape Conveyor’s AI core capabilities, and create a huge impact on a critical pillar in our product strategy. Reporting directly to the CTO, you’ll play a critical role in building and optimizing our AI development process and further building the team.

What you’ll do:
  • You will analyze our AI quality and performance, propose and experiment with new technologies and ideas, then implement and improve Conveyor products.

  • You will define and implement metrics and processes to evaluate and improve AI quality.

  • You'll autonomously manage and own individual project priorities, deadlines, and deliverables.

  • You’ll scope and implement project-level solutions with minimal guidance.


  • You’ll collaborate and pair frequently with teammates and peers.

  • You'll inform the product roadmap and implementation decisions based on feasibility.

  • You'll ensure that our product is maintainable, meaning that other engineers are able to contribute new functionality easily, and without frequent technical debt.

  • You'll partner with Product and Design to effectively plan new features, avoiding bottlenecks and maximizing velocity when it comes time to implement.

What we’re looking for:

We are looking for candidates with 8+ years of experience in technical leadership roles, with a focus on AI/ML technologies in recent years. Strong preference for experience in startup environments.

Required Skills
  • Strong software engineering foundations, building and shipping products. Your designs should be performant, maintainable (for years, not months), and evolvable.

  • Recent experience in the AI/ML space, and specifically LLMs. Familiarity with key concepts, frameworks, tools and technologies. Experience evaluating different approaches and technologies, prompt engineering, evals and observability, RAG flows, search technologies, agent frameworks, etc.

  • Able to perform both research/analysis and production software development work

  • Curiosity and Continuous Learning: You are up to speed on developments in the fast-paced AI/ML world, and constantly thinking about how to apply new technologies and offerings to our real-world problems.

  • Bias for action: Startup mentality, get things done, fast iterations, strong problem-solving and decision-making capabilities. Previous experience in a small startup (or as a founder) is highly preferred.

  • Product Sense: You seek to understand the features you're working on, and actively propose positive changes. Collaborate with product and design to inform roadmap decisions.

  • Team Player: You have excellent communication skills (verbal and written), enjoy collaborating with others and mentoring team members.

  • Deliver Legendary Customer Experience: You have experience building and scaling products that delight real users.

  • Ownership: Strong sense of ownership and accountability, honor commitments and be transparent about challenges.

Job Location

This position is available in the United States and Canada.

We are a remote-first company so you’ll be working from home most of the time, traveling for in person sessions a few times a year.
Preferred location: San Francisco Bay Area

Ready to join our team and have a tremendous impact? We’d love to hear from you. Also, we know it’s tough, but please try to avoid the ​​confidence gap​.​​ You don’t have to match all the listed requirements exactly to be considered for this role.

Similar Jobs

7 Days Ago
Remote or Hybrid
2 Locations
219K-335K Annually
Senior level
219K-335K Annually
Senior level
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
Lead development of scalable, reliable continuous integration infrastructure supporting autonomous-vehicle development, machine learning training, simulation, and remote builds. Specialize in Remote Build Execution and a FUSE-based file system, enabling source-code editing and developer workflows. Design and implement productivity improvements, evaluate technologies, influence technical roadmaps, establish engineering best practices, manage technical debt, and mentor engineers while balancing business and customer priorities.
Top Skills: DockerFuseGoGoogle Cloud Platform (Gcp)KubernetesNetworkingPythonRemote Build Execution (Rbe)SshUnix/Linux
7 Days Ago
Remote or Hybrid
Mountain View, CA, USA
189K-290K Annually
Senior level
189K-290K Annually
Senior level
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
Lead architecture and development of GM’s in-vehicle AI assistant platform on Android Automotive OS. Build scalable APIs, SDKs, edge-cloud integrations, CI and automated validation infrastructure, and robust AIDL/IPC application contracts. Guide engineering execution, optimize latency and memory, integrate AI/ML evaluation pipelines, and collaborate with product and UX teams. The role requires extensive Android architecture experience, technical leadership, Kotlin and Java expertise, and familiarity with distributed client-server systems.
Top Skills: Ai/MlAidlAndroid Application ArchitectureAndroid Automotive OsAndroid JetpackAndroid SdkCiCoroutinesDaggerFlowGrpcHiltIpcJavaKotlinRest
8 Days Ago
Remote
United States
180K-240K Annually
Entry level
180K-240K Annually
Entry level
Fintech • Financial Services
Architects and develops AI-powered systems, tools, agents, backend services, APIs, and experimentation frameworks using foundational AI models. Integrates AI capabilities with microservices, AWS, Snowflake, and complex data systems while ensuring scalability, reliability, and maintainability. Translates business problems into technical solutions, prototypes AI applications, collaborates with product and engineering teams, evaluates emerging AI technologies, and documents system designs and integration patterns.
Top Skills: APIsAWSAws BedrockClaudeContainer OrchestrationGoHugging FaceLangchainMicroservicesOpenaiPythonRubySnowflakeVector Databases

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account