Engineering Lead

Engineering Lead

Location : San Francisco

Company Stage : Seed / Series A (just raised $10M+)

Team : Engineering

Experience : 6–10+ years

Compensation : Competitive + Metrics-Based Bonus + Equity

Why Join Cred?

CRED is an AI Native Command Center for businesses. It centralizes internal and external data for companies and matches it with external insights to help companies make better decisions and predict the future. With early traction in sports and entertainment and working with some of the biggest names like the PGA, Warriors and others and a fresh $10M+ venture round, we're scaling quickly. CRED’s dataset is one of the largest business databases in the world, and includes data on customers, people and companies and many related business entities. CRED collects and trains LLM Agents using internal and behavioral data to improve customer outcomes.

At CRED, you’ll have ownership, influence, and the opportunity to work at the intersection of AI, data, and business strategy. We move fast, execute in weekly sprints, and build with purpose. If you’re excited by high-impact work, tight feedback loops, and a role that touches product, customer, and data — this is for you.

What You’ll Be Working On

As Engineering Lead at Cred, you’ll shape how we build. You’ll manage and mentor a growing team, drive best practices across delivery and QA, and help us scale our infrastructure, pipelines, and platform with AI and automation at the core.

Key Responsibilities :

Lead and scale the engineering function with a strong delivery mindset — shipping high-quality features weekly

Own and evolve internal processes around CI / CD, QA automation, observability, and DevOps

Design and build internal tools to automate development, QA, and data workflows , powered by AI

Work closely with Product to scope and plan features, break down technical work, and ensure quality and stability

Mentor, manage, and motivate engineers through structured sprint planning, accountability, and growth conversations

Set standards for code quality, documentation, testing, and deployments

Guide architectural decisions across products including our AI agent, Chrome extension, data platform, and integrations

Maintain a strong pulse on delivery, helping to unblock technical issues and prioritise ruthlessly

Drive innovation around multi-platform builds , from web to Chrome and native apps

What We’re Looking For

Must-Haves :

6–10+ years of hands-on engineering experience, with at least 2+ years in engineering leadership roles

Proven ability to lead agile / scrum teams , set goals, track velocity, and manage delivery in sprint cycles

Strong background in DevOps and QA best practices — CI / CD pipelines, automated testing, infrastructure as code

Experience building and scaling data-rich products — including APIs, integrations, scraping tools, or cloud platforms

AI-native mindset — you actively look for ways to integrate LLMs and automation into engineering processes

Experience managing cross-functional teams , working closely with product and design

Passion for hands-on work — you enjoy building, debugging, and exploring technical edge cases

Excellent communication and storytelling — you can translate complexity for any audience and align teams around a plan

High ownership and bias for execution — you take pride in results and always find a way to move things forward

Bonus Points For :

Background in data integration, CRM, sales / marketing tooling or AI-first products

Experience with data science models and building AI / ML infrastructure & AI-first products

Strong cloud infrastructure skills (AWS, GCP, or Azure)

Built internal tools or systems for QA automation, observability, or CI / CD workflows

Familiarity with building Chrome extensions, Mac apps , or multi-platform tooling

Sound like you?

If you're a structured, hands-on engineering leader who thrives on accountability, shipping fast, and building AI-native infrastructure — let’s talk.

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