Engineering Manager

Manager · Full Time

New YorkUSD 225k – 300k3d ago
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Role

What you'll do.

Numeric seeks an experienced Engineering Manager to lead engineering teams in New York for a modern financial data platform transforming accounting and finance. This player-coach role requires managing and developing engineers while staying deeply technical on system design, data infrastructure, and product architecture. You'll guide teams building core components including data ingestion pipelines, reporting engines, accounting automation, and AI-native workflows—working hands-on with a team committed to shipping high-quality products that solve real accounting challenges.

Responsibilities

  • Team Leadership and Development: Manage and grow a team of software engineers through hiring, onboarding, performance management, and career development. Build trust with direct reports by staying technical and involved in critical architectural decisions. Establish hiring standards, conduct technical interviews, and maintain high bar for team composition. Develop engineers' skills through mentorship, feedback, and stretch assignments.
  • Data Platform Development: Lead the engineering team building the data ingestion, transformation, and lineage infrastructure. Oversee development of systems that provide accountants with traceable, source-connected access to financial data at granular levels of detail. Own architectural decisions for scalable data pipelines handling complex accounting data structures.
  • Reporting Engine Ownership: Drive delivery of the reporting experience enabling flexible definition, composition, and exploration of structured financial reports. Manage the engineering effort from high-level financial projections down to individual transaction drilling. Ensure reporting infrastructure scales with customer growth and complexity.
  • Accounting Automation Engine: Guide the team developing the core automation engine that structures messy financial data and automates manual accounting work. Lead technical decisions that enable accountants to work like engineers through intelligent automation. Own product-engineering collaboration to ensure automation drives user value.
  • Workflow and AI Experience Leadership: Lead the team building complex, cyclical accounting workflows with dependency management, automation, and AI-native user experiences. Direct engineering efforts on delightful product experiences that balance complexity management with ease of use. Drive adoption of AI-first paradigms in workflow automation.
  • System Design and Architecture Review: Participate in critical system design decisions and code architecture reviews. Earn team credibility through technical collaboration and sound architectural guidance. Ensure engineering decisions align with platform scalability requirements and long-term product vision.
  • Process and Engineering Culture Building: Establish management processes, team rituals, and quality standards that scale with company growth. Build the management function while maintaining pragmatism about appropriate process levels for early-stage growth. Instill company principles around outcome ownership, execution excellence, and craft quality into team culture.
  • Cross-Functional Collaboration: Partner with product management, design, and customer success teams to ensure engineering priorities deliver end-user value. Own translation of customer problems into engineering initiatives. Balance feature delivery with technical debt management and infrastructure investment.

Qualifications

What we look for.

Technical

  • System Architecture and Design

    Strong foundation in designing scalable distributed systems, database architecture, and data pipeline design. Ability to evaluate tradeoffs between performance, reliability, maintainability, and cost.

  • Full-Stack Development

    Comfortable across backend infrastructure, frontend development, and data systems. Technical breadth enables effective leadership of cross-functional engineering efforts.

  • Software Engineering Practices

    Deep understanding of modern development practices including code review, testing strategies, deployment pipelines, monitoring, and incident response. Can establish and enforce quality standards across teams.

  • Data Systems and Analytics

    Experience building or managing teams working with data pipelines, data warehousing, ETL systems, or analytics platforms. Understanding of data quality, transformations, and lineage requirements for financial systems.

Education

  • Bachelor's Degree in Computer Science or Related Field

    Formal education in computer science, software engineering, mathematics, or related discipline. Equivalent industry experience demonstrating systematic technical thinking and computer science fundamentals highly valued.

Experience

  • 6+ Years Software Development

    Demonstrated experience building production software systems with deep technical expertise across the full development lifecycle. Required to understand engineering challenges and maintain technical credibility with your team.

  • 2+ Years Direct Engineering Management

    Proven track record managing software engineers with real ownership of hiring decisions, performance evaluations, promotion recommendations, and team output accountability. Should have hired and grown teams, made difficult personnel decisions, and developed engineers into stronger contributors.

  • Hands-On Technical Contributions

    Meaningful time as an individual contributor engineer, still comfortable reviewing code, diving into system design discussions, and contributing technical solutions when needed. The player-coach model requires maintained technical depth and credibility.

  • High Agency and Ownership Mindset

    Demonstrates independent judgment, self-direction, and accountability for outcomes. Takes initiative to solve problems end-to-end rather than waiting for direction. Drives decisions in ambiguous situations while maintaining team psychological safety.

Skills

Required

  • Engineering Team Leadership

    Ability to recruit, develop, and retain talented engineers. Establish team vision, unblock technical obstacles, and create psychological safety for risk-taking and learning. Balance autonomy with alignment.

  • Technical Decision Making

    Make sound architectural decisions under constraints. Evaluate technology choices with business impact in mind. Guide teams toward simplicity and maintainability while handling appropriate complexity.

  • Performance Management and Feedback

    Conduct regular 1-on-1s, provide constructive feedback, set clear expectations, and make difficult conversations about performance. Support career growth through mentorship and stretch assignments.

  • Problem Solving and Debugging

    Systematic approach to diagnosing complex technical problems, root cause analysis, and deriving solutions. Comfortable working through ambiguous situations with incomplete information.

  • Communication and Collaboration

    Clear communication across technical and non-technical audiences. Articulate engineering constraints, tradeoffs, and risks effectively. Foster collaborative relationships with cross-functional partners.

  • Product Thinking

    Understand end-user needs and connect engineering work to customer outcomes. Evaluate feature requests against user impact. Balance shipping velocity with quality.

Preferred

  • Fintech or Financial Services Domain Knowledge

    Nice to have

    Experience building products in fintech, accounting software, financial services, or adjacent domains. Familiarity with financial data challenges, compliance requirements, and accounting workflows.

  • Founder or Early-Stage Experience

    Nice to have

    Founding experience, building products from scratch, or joining very early as engineering hire who grew into leadership. Comfort with uncertainty, scrappy problem-solving, and wearing multiple hats.

  • Complex Domain Expertise

    Nice to have

    Track record managing engineering teams in technically complex domains such as distributed systems, data infrastructure, machine learning platforms, or financial systems.

  • Successful Hiring Track Record

    Nice to have

    Demonstrated success in recruiting and hiring strong engineers. Ability to identify talent, close candidates, and build diverse, high-performing teams.

  • AI and Machine Learning Integration

    Nice to have

    Experience integrating AI or machine learning capabilities into products. Understanding of LLM applications, prompt engineering, and AI-native user experiences.

Tech stack

Languages

PythonTypeScript/JavaScriptSQL

Frameworks

ReactNode.jsFastAPI or Django

Databases

PostgreSQLData WarehousingEvent Streaming

Tools

Git and GitHubCI/CD PipelinesMonitoring and ObservabilityProject Management

Other

AI and LLM IntegrationData Lineage and GovernanceCloud InfrastructureAccounting and Financial Concepts

Compensation

Pay and benefits.

Base·USD 225,000 – 300,000

Equity·Stock options

Benefits

  • Equity Package

    Generous equity compensation aligning with company growth and long-term value creation. Early-stage equity opportunity with significant upside potential as company scales.

  • NYC-Based Compensation

    Competitive salary reflective of New York City market rates for experienced engineering managers at high-growth companies. Package designed for talent retention in competitive tech hub.

  • High-Growth Company Benefits

    Access to learning and development opportunities, mentorship from experienced investors and operators, and exposure to category-defining engineering challenges in fintech sector.

  • Strong Company Backing

    Backed by top-tier investors including Menlo Ventures, IVP, Founders Fund, and 8VC. Strong funding provides runway, resources, and credibility for building world-class teams.

  • Impressive Customer Base

    Work with category-leading customers including Anthropic, Notion, Brex, OpenAI, Cursor, Plaid, Wealthfront, Mercury, Figma, and Asana—providing product validation and learning opportunities.

Process

Interview steps.

  1. 01

    Initial Screening Call

    Preliminary conversation to assess background, motivation for the role, and understanding of Numeric's mission in modernizing accounting software. Discussion of relevant management and technical experience.

  2. 02

    Technical Architecture Conversation

    Deep-dive discussion on system design thinking, experience with data platforms or complex backend systems, and approach to technical decision-making. May involve whiteboarding or discussing past architectural choices.

  3. 03

    Management Philosophy Interview

    Detailed exploration of team leadership approach, hiring philosophy, handling of performance issues, and career development practices. Discussion of company principles including outcome ownership, craft focus, and building high-performing culture.

  4. 04

    Domain Learning Assessment

    Conversation assessing curiosity about financial systems, accounting workflows, and ability to rapidly learn complex domains. Discussion of past experiences entering new technical areas and how you approached the learning curve.

  5. 05

    Founder and Leadership Team Meetings

    Conversations with company founders and senior leadership to assess cultural alignment, understanding of company vision, and ability to contribute to building the management function at an early-stage company.

  6. 06

    Team Collaboration Discussion

    Conversations with engineering team members to assess working style, collaborative approach, and ability to earn technical credibility. Focus on how you approach code review, architectural discussions, and team unblocking.

  7. 07

    Customer Context Conversation

    Possible conversation with product or customer success team to understand real user problems in accounting, driving context for technical decision-making and feature prioritization.

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 NYC. This is a player-coach role: 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 New York.

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

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