Clarity Logo

Clarity

Founding Engineer, Backend + Infra

Posted Yesterday
Be an Early Applicant
In-Office
San Francisco, CA, USA
150K-200K Annually
Entry level
In-Office
San Francisco, CA, USA
150K-200K Annually
Entry level
Lead backend, infrastructure, and AI infrastructure efforts for an AI-powered revenue workspace. Architect reliable data-processing pipelines, define data ontologies, and create maintainable engineering abstractions. Own deployment, scalability, uptime, observability, monitoring, on-call processes, and incident response. Build AI evaluation, debugging, modularity, and cost-optimization frameworks while contributing to full-stack product development, bug fixes, and customer support.
The summary above was generated by AI
Our Vision

Clarity is an operating system for revenue in a business. An AI-powered workspace that sales, customer support, and product work out of to close customers, prevent churn, and build product.

We are passionate about building high-quality software and products that people love. We have growth mindsets and are excited about pushing ourselves to be the best we can be.

We think we’re onto something big, and are doing everything we can to make it happen.

Your Mission

The vision for Clarity is made possible by the advent of large language models and generative AI. Our product ingests massive amount of data that needs to be ingested from tools across the stack, reliably processed and analyzed into our intelligence, and then served to the user instantly. Our customers rely on Clarity to build their businesses and need it to work reliably and correctly every single day and we’re hiring a Founding AI engineer to help lead these backend efforts.

We’re a small team that moves quickly while keeping a high quality bar. We’re looking for someone who is excited about taking ownership of large parts of Clarity’s product and AI stack.

We’re looking for someone who is passionate, optimistic, and has a deep-rooted desire to build something great (and to have fun while doing it).

Your ResponsibilitiesBackend Engineering
  • Architect and own our data processing pipeline end-to-end

  • Create maintainable abstractions to enable the engineering team to build reliably

  • Define the data ontology across countless integrations that Clarity supports

  • Set the culture for quality and efficacy for the engineering team

Infrastructure
  • Own the deployment process, ensuring consistent and stable releases

  • Scale Clarity’s infrastructure as we scale to ensure uptime

  • Own observability and monitoring for the stack

  • Set team processes around on-call and incident responses

AI infrastructure
  • Ensure we can trace issues and debug effectively with strong monitoring and observability

  • Establish an evaluation framework to ensure response quality as we make changes

  • Optimize foundation model costs without compromising on response quality

  • Build frameworks to make our AI systems modular and extensible

Product & Full-stack engineering
  • Ability to build product experiences end-to-end

  • Proactively addressing bugs and fixing paper cuts

  • Jump in to support customers when they run into issues or have requests

Thanks for considering joining us!
Rohan & Austin

Similar Jobs

One Month Ago
In-Office
Cupertino, CA, USA
160K-300K Annually
Entry level
160K-300K Annually
Entry level
Big Data • Consumer Web • HR Tech • Software
Founding Backend/Infra Engineer responsible for building a scalable job search engine, including web crawlers and recommender systems. Requires strong programming skills, particularly in Node.js and Python, and attention to detail.
Top Skills: Node.jsPython
8 Minutes Ago
Hybrid
Senior level
Senior level
Financial Services
Leads software engineering for secure, scalable AWS-based healthcare payment systems. Designs, develops, tests, troubleshoots, and reviews production code; builds Terraform infrastructure modules; designs resilient AWS architectures; automates CI/CD and remediation; and promotes operational stability. Leads architectural evaluations, engineering communities of practice, and responsible adoption of AI-assisted development tools, including validation for correctness, security, performance, and compliance.
Top Skills: .NetAuroraAWSBashC#Ci/CdDynamoDBEbsEc2EksEventbridgeKinesis Data StreamsLambdaLoad BalancersNaclsPowershellPythonRdsRoute 53S3Security GroupsSnsSqsSubnetsTerraformVpc
31 Minutes Ago
In-Office
San Francisco, CA, USA
150K-200K Annually
Senior level
150K-200K Annually
Senior level
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Real Estate
Own paid acquisition and website conversion optimization to drive qualified pipeline and measurable growth. Manage LinkedIn, Meta, SEM, and other performance channels; oversee funnel metrics, attribution, and ROI; design A/B tests and growth experiments; improve landing pages and UX flows; analyze results using marketing and BI tools; and evolve the marketing technology stack in partnership with product, design, engineering, and GTM teams.
Top Skills: Ga4Google SearchHubspotLinkedInLookerMetaSalesforceSem

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