Recent funding: $90M Series C (Apr 2026); $35M Series B extension (Jun 2024)
Industry: Software Development
Company Overview
Problem Domain
Developer productivity and secure, centrally managed development environments for enterprises.
Founded
2017
Industry
Software Development
Funding Track Record
Series B extension- Jun 25, 2024
$35M
Series B extension announced June 25, 2024
Series C- Apr 1, 2026
$90M
Series C announced April 1, 2026 with participation from Qube Research & Technologies, Uncork Capital and others
Investor Signal
“KKR led Series C; Georgian led Series B extension”
Founders
What we do
Join the Team
Senior Software Engineer
RemoteUnited States, US
Remote • United States, US
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Who you are
5+ years in software engineering, including 1-2+ years building LLM-based applications or agents
Strong experience in TypeScript/Node.js (ideal) or Python for backend and data processing
Hands-on experience with LLM tool calling/agents (custom frameworks, LangChain, or equivalent)
Practical RAG expertise: chunking, metadata schemas, retrieval, relevancy, and evaluation
Solid AWS experience: Lambda, S3, IAM, CloudWatch; exposure to Bedrock is a plus
Background in data integration/pipelines: consuming APIs and webhooks (Salesforce, Slack, Zendesk, Zapier, etc.)
Skill in designing JSON schemas, pre-aggregated summaries, and metadata models for query
Familiarity with Salesforce data structures (accounts, opportunities, leads, activities) or willingness to ramp quickly
Comfortable working in a partially “vibe‑coded” codebase and refactoring toward higher quality (testing, structure, observability)
Experience with prompt engineering and evaluation for business workflows (accuracy, reliability, user trust)
(Tacos? If you need an ice-breaker, ask how we say thanks by giving tacos!)
Amazon Bedrock knowledge bases
Terraform and/or Kubernetes
Slack bot development and slash commands
CRM enrichment, sales tooling, or GTM analytics
GDPR/data privacy considerations for AI systems
Prior work on sales/revops intelligence tools, conversation intelligence (Zoom/Granola/Gong‑style), or human‑in‑the‑loop review flows
What the job involves
Benefits
Generous medical / dental / vision coverage
4% 401(k) match
Fertility benefits through Carrot Fertility and generous parental leave
Monthly “perks” stipend for wellness, learning and development, travel, etc
Flexible time off
Remote work from anywhere, or join our Austin or San Francisco offices
Annual workstation allowance for your home office
Paid sabbatical after 5 years
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You’ll build the AI behind Animus, our internal agent for revenue and customer intelligence
Your work turns scattered GTM data into clear answers and usable workflows for Sales, Success, Product, and Marketing
You design, ship, and improve AI workflows on a proven AWS and TypeScript base
You partner with GTM leaders, product, and infra to test, measure, and refine while keeping the system accurate, observable, and cost-aware
Design and implement AI workflows on top of existing data pipelines (product feedback extraction, customer update generation, onboarding plans, win/loss summaries, CRM enrichment)
Extend and refine the current TypeScript-based agent: tooling, tool schemas, routing logic, error handling, and observability
Improve transcript and account matching across Zoom, Granola, and Salesforce using entity resolution, heuristics, and/or LLM-assisted matching
Integrate new data sources (Slack, Zendesk, Google Drive, Nexus/telemetry, email) into the existing AWS stack
Define and consume pre-aggregated account/opportunity summaries in S3 for fast, reliable query
Optimize Lambda-based data processing jobs for cost, reliability, and performance
Iterate on model strategy: cheap routing (e.g., Claude Haiku) vs. higher-quality response models (e.g., Claude Sonnet/Opus)
Evaluate prompts, tool selection quality, and response accuracy with clear metrics
Collaborate with GTM stakeholders (Sales, SE, CS, Product, Marketing) to define, test, and refine AI-assisted workflows
Partner with infra engineering (Terraform, Kubernetes) to ensure deployment, security, and observability are production-ready
Contribute to future UI/UX (Slack bot flows, simple web UI/dashboards) to expose workflows to end users