Engineering Manager
Manager · Full Time
Opens Numeric's application page
Role
What you'll do.
As Numeric's first dedicated Engineering Manager, you'll lead cross-functional engineering teams building the modern financial data platform that's transforming accounting and finance. This role combines hands-on technical leadership with people management, requiring you to architect and oversee mission-critical systems including data ingestion infrastructure, reporting engines, accounting automation, and AI-native workflows while developing high-performing engineering talent in San Francisco.
Responsibilities
- Team Leadership and Engineering Scaling: Recruit, mentor, and develop high-performing engineering teams while establishing clear career progression paths, performance metrics, and professional development opportunities. Create a culture of excellence that attracts top talent and ensures retention of key technical contributors. Build sustainable team structures that scale with company growth while maintaining engineering quality and velocity.
- Data Platform Leadership: Lead the team responsible for building and maintaining the core ingestion, transformation, and data lineage infrastructure. Ensure accountants have traceable, source-connected access to their financial data at any level of detail. Oversee architecture decisions for real-time and batch data processing systems that power the platform's data accuracy and performance guarantees.
- Reporting Engine Ownership: Drive delivery of the reporting experience that enables flexible definition, composition, and drilling into structured financial reports from high-level projections down to individual transactions. Own the product roadmap for reporting capabilities and ensure technical implementation aligns with user requirements and system performance standards.
- Accounting Automation Systems: Guide the engineering team developing the core automation engine that brings structure to messy financial data and automates large portions of manual accounting work. Establish best practices for data validation, error handling, and user feedback integration to continuously improve automation accuracy and coverage.
- Workflow, AI, and UX Architecture: Lead the team building complex, cyclical accounting workflows with sophisticated dependency management, task automation, and AI-native user experiences. Drive technical decisions that balance feature richness with usability, ensuring workflows remain intuitive and delightful for accounting professionals while leveraging AI capabilities effectively.
- Technical Decision-Making and Code Review: Participate actively in architectural reviews, system design decisions, and code quality standards. Conduct regular code reviews, provide technical mentorship, and establish engineering practices that maintain high code quality while enabling rapid iteration. Stay hands-on with critical technical decisions to earn team credibility and ensure architectural soundness.
- Hiring and Performance Management: Own all hiring responsibilities including candidate sourcing, interviewing, offer negotiation, and onboarding. Establish clear performance expectations, conduct regular feedback sessions, and make data-driven decisions on promotions, compensation adjustments, and team composition. Build accountability structures while maintaining psychological safety.
- Management Function Development: Build Numeric's management infrastructure from the ground up, establishing processes, rituals, and bar-setting standards that evolve with company growth. Create repeatable frameworks for one-on-ones, team retrospectives, planning cycles, and cross-team collaboration while maintaining pragmatism about process overhead at each stage of growth.
- Cross-Functional Collaboration and Product Alignment: Work closely with product, design, and business stakeholders to align engineering priorities with company goals. Translate product requirements into technical roadmaps, manage dependencies between teams, and advocate for engineering perspectives in strategic decisions. Ensure end-to-end ownership mentality where teams understand the impact of their work on users.
- Engineering Culture and Operational Excellence: Champion Numeric's core engineering principles: Own the Outcome, Brick by Brick execution, Love the Game craftsmanship, Earn the Right through quality, and SALY continuous improvement. Establish metrics for team health, delivery velocity, code quality, and technical debt. Drive operational excellence initiatives that scale engineering effectiveness.
Qualifications
What we look for.
Technical
System Design and Architecture
Expert-level ability to design scalable, maintainable systems for data processing, reporting, and workflow orchestration. Deep understanding of trade-offs in architectural decisions including latency, throughput, consistency, and operational complexity. Experience designing systems that serve both technical and non-technical end users.
Data Systems and Infrastructure
Strong foundation in modern data architecture including distributed data processing, ETL/ELT pipeline design, data quality frameworks, and data lineage tracking. Familiarity with data warehousing concepts, transformation languages, and approaches for handling real-time and batch data at scale.
Full-Stack Product Engineering
Ability to evaluate and contribute to decisions across the entire stack from database design through backend systems to frontend user experiences. Understanding of how technical choices impact product usability, performance, and user satisfaction. Experience building or overseeing features that span multiple technology layers.
Code Quality and Engineering Practices
Proficiency in establishing and maintaining high code quality standards through code reviews, testing strategies, and refactoring practices. Knowledge of version control workflows, CI/CD practices, and deployment strategies that minimize risk. Ability to balance technical debt management with velocity.
Product Thinking and User Empathy
Ability to understand user problems deeply and translate them into technical solutions. Experience working closely with product and design teams to ensure technical implementation achieves user needs. Comfort discussing product tradeoffs and making technology choices that serve user outcomes.
Education
Computer Science or Engineering Foundation
Bachelor's degree in Computer Science, Software Engineering, Computer Engineering, or equivalent practical experience demonstrating strong foundational knowledge of computer systems, algorithms, and software design principles. Advanced degree or specialized certifications not required but relevant domain certifications in databases or distributed systems valued.
Experience
Software Engineering Foundation
6+ years of hands-on experience building and shipping production software across multiple technical domains. Must demonstrate mastery of full software development lifecycle including architecture design, implementation, testing, deployment, and operations. Proven ability to grow as an engineer and adapt to evolving technical challenges.
Direct Engineering Management
2+ years of direct experience managing engineering teams with real ownership of hiring decisions, performance evaluations, promotion recommendations, and team output accountability. Must have successfully built or scaled teams, resolved interpersonal conflicts, and improved individual engineer performance through mentorship.
Hands-On Technical Leadership
Demonstrated ability to remain technically engaged while managing teams. Must be comfortable reviewing code, discussing system architecture, and contributing to technical decisions. Should have experience mentoring engineers on technical growth and establishing engineering best practices within teams.
Complex Domain Mastery
Proven track record of successfully learning and operating in complex technical domains including data systems, financial software, or enterprise platforms. Should demonstrate ability to quickly build domain knowledge and make informed technical decisions in unfamiliar areas.
Fintech or Accounting Experience (Preferred)
Prior experience in fintech, accounting software, or adjacent financial technology spaces is highly valued. Understanding of accounting concepts, financial data models, or compliance requirements in financial software is a strong differentiator. Experience with financial data processing or reporting systems particularly relevant.
Early-Stage or Founder Experience (Bonus)
Background as a company founder, early engineering hire who grew into leadership, or experience building products from scratch. This demonstrates scrappiness, ownership mentality, and ability to thrive in ambiguous, rapidly-evolving environments typical of high-growth startups.
Skills
Required
Engineering Management
Demonstrated expertise in leading engineering teams, including hiring, performance management, career development, and accountability structures. Proven ability to build high-trust relationships, make difficult people decisions, and create psychological safety while maintaining high standards.
Technical Leadership
Ability to influence technical direction, make architecture decisions, and solve complex technical problems. Comfort remaining hands-on with code and system design while scaling responsibilities. Credibility gained through technical competence and collaboration.
System Design
Deep expertise in designing complex software systems with consideration for scalability, reliability, performance, and maintainability. Ability to evaluate trade-offs and make principled architectural decisions aligned with business objectives.
Data Platform Understanding
Strong conceptual knowledge of modern data platforms including ingestion patterns, transformation logic, data modeling, lineage tracking, and query optimization. Understanding of how accounting data flows through systems and where quality issues arise.
Strategic Thinking
Ability to translate business problems into multi-quarter technical roadmaps. Skill in prioritizing across competing initiatives, managing technical debt versus feature velocity, and making trade-off decisions that balance short-term wins with long-term sustainability.
Communication
Exceptional ability to communicate with both technical and non-technical stakeholders. Skill in presenting complex technical concepts clearly, documenting architectural decisions, and facilitating productive discussions across teams with different expertise levels.
Product Collaboration
Experience working effectively with product managers, designers, and business stakeholders to align on goals and trade-offs. Ability to represent engineering perspectives in strategy discussions while remaining customer-focused and pragmatic.
Preferred
Fintech or Financial Services Engineering
Nice to haveDirect experience building financial software, fintech platforms, or accounting systems. Familiarity with compliance requirements, data validation standards, and regulatory considerations in financial technology. Understanding of common accounting workflows and financial terminology.
Data Engineering and Analytics
Nice to haveBackground building data platforms, data warehouses, ETL systems, or analytics infrastructure. Experience with data quality frameworks, lineage tracking systems, and approaches for handling messy or heterogeneous data sources at scale.
Workflow Orchestration and Automation
Nice to haveExperience building workflow engines, task scheduling systems, or orchestration platforms with complex dependency management. Understanding of state machines, error handling in long-running processes, and user experiences for managing asynchronous workflows.
AI and Machine Learning Integration
Nice to haveExperience building products that integrate AI/ML capabilities into user workflows. Understanding of how to surface AI predictions in intuitive ways, handle model uncertainty, and build human-in-the-loop systems where AI augments rather than replaces human judgment.
Distributed Systems
Nice to haveExperience designing and operating distributed systems at scale. Understanding of consistency models, eventual consistency patterns, distributed tracing, and debugging production systems. Comfort with cloud infrastructure and serverless patterns.
Startup Experience
Nice to haveBackground as a founder, early-stage engineering hire who built product from scratch, or leader who helped scale engineering from single digits to larger teams. Comfort with ambiguity, rapid iteration, and scrappiness. Understanding of startup dynamics and constraints.
Hiring and Talent Development
Nice to haveDemonstrated track record of building strong hiring processes, identifying top engineering talent, and successfully onboarding and developing high performers. Experience with diverse candidate sourcing and commitment to building inclusive teams.
Open Source Contribution
Nice to haveActive contribution to open source projects, particularly those focused on data systems, financial software, or infrastructure. Demonstrates passion for engineering, commitment to quality, and ability to collaborate with distributed communities.
Compensation
Pay and benefits.
Base·USD 225,000 – 300,000
Equity·Stock options
Full posting
Original listing.
Why Numeric
Every business relies on accounting.
Yet most software in the space was built in the early 2000s — clunky, slow, and far behind the curve on AI. Today, accountants are facing a growing, unsolved data problem as a consequence of complexity, data, and system fragmentation — and they lack the tools to solve it.
The problems are real, hard, and increasingly urgent. But they’re solvable. Enter Numeric —the modern financial data platform for accounting and finance. Weaving together data, workflows, and AI-first solutions, we’re empowering accounting teams to achieve verifiable, detailed financial data faster and make business decisions with greater confidence. Accounting does not need more duct tape. We've rethought the field — its primitives, assumptions, and practices — while staying grounded by working closely with our customers.
We have strong product market fit and a growing base of customers who love our product — including Anthropic, Notion, Brex, OpenAI, Cursor, Plaid, Wealthfront, Mercury, Figma, and Asana. We’re backed by top-tier investors including Menlo Ventures, IVP, Founders Fund, and 8VC, along with founders and executives from Ramp, Segment, and other category-defining companies.
The Role
We're hiring our first dedicated Engineering Manager to help lead our engineering teams in SF. You'll manage and grow a team of engineers while staying close enough to the code and the system design to earn the trust of the people you lead. We're not looking for someone who manages from a distance — we're looking for someone who's done the work, still wants to be in the details when it matters, and gets energy from making other engineers better.
What you might work on
Data platform: Lead the team building the ingestion, transformation, and lineage infrastructure that gives accountants traceable, source-connected access to their financial data at any level of detail.
Reporting engine: Own delivery of the experience for flexibly defining, composing, and drilling into structured financial reports, from high-level projections down to individual transactions.
Accounting automation: Guide the team developing the core engine that brings structure to messy financial data, automating large swaths of manual work and turning accountants into engineers.
Workflow, AI, and user experience: Lead a team building complex, cyclical accounting workflows with dependency management, automation, and AI-native experiences — all wrapped in a product we take pride in making delightful to use.
You might be a fit if…
You've managed engineers before and you genuinely enjoy it. You take pride in developing people, building trust on teams, and making hard calls on people and priorities.
You still want to be technical. You can go deep on system design, review code and architecture decisions, and earn credibility with your team by being a good collaborator.
You find learning a new, complex domain to be an exciting challenge
You combine a commitment to high quality work with a desire to win and tackle ambitious goals
You want to help build the management function here: process, rituals, and bar-setting. You can balance scaling with pragmatism about the right amount of process for the stage of growth.
You care about good abstractions and about building good product.
What you need
6+ years of experience building software, including meaningful time as a hands-on engineer
2+ years directly managing engineers, with real ownership of hiring, performance, and team output
High motivation and agency
Bonus points for…
Experience managing teams in complex, technical domains
Fintech or accounting-adjacent/fintech experience
Experience founding a business, building products from scratch, or being an early engineering hire who grew into management
A track record in hiring
This role is in-person in San Francisco.
We believe the best company is the one with the best ICs, and we've built a culture to maximize great work — as an EM here, your job is to protect and amplify that, not manage around it. We believe great product & engineering come from a desire to win, a deep care for the craft, and a pragmatism in shipping for overall impact.
We strongly believe we will only be successful if everyone on the team — managers included — is anchored in our core principles:
Own the Outcome: We own our results. We typically hire builders and give them large mandates with high trust. As a manager, you're responsible not just for your team's code, but for ensuring your team is solving the end problems of the users.
Brick by Brick: To win, our team needs to show up and execute in each domain every day.
Love the Game: We focus on the craft and a deep sense of giving a f*ck. We're building a company full of people who are equally engaged and motivated — that starts with how you lead.
Earn the Right: Our ability to rethink how things are done depends on the trust and reputation we build by shipping quality products and improving the lives of our users.
SALY: We refuse to accept "Same As Last Year." We bring fresh eyes to a stagnated and underserved domain, including in how we build and run engineering teams.
Read some of our thoughts on engineering and company-building here.
Estimated Base Salary: $225,000-300,000 plus a generous equity package
Redirects to Numeric's application page.
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