Banking for startups: mercury.com
Engineering Manager - Mercury Accounting
Location
United States + 1 moreAll locations: United States | Canada
Posted
44 days ago
Salary
$200K - $250K / year
Seniority
Lead
No structured requirement data.
Job Description
Engineering Manager - Mercury Accounting
Mercury
Businesses on Mercury are leveraging their financial insights to inform consequential decisions that drive their company forward. Fragmented financial data, inaccuracies, and delayed accounting reports result in these businesses making decisions based on processed historical data and not on the state of their business today. For accountants, this adds growing pressure to reconcile and review, resulting in less time spent providing exceptional service to their clients. Our Accounting product engineering team exists to close this gap by enabling real-time insights for businesses that use Mercury. We do this by allowing businesses to connect their other financial software to Mercury, configure auto-categorization, and identify outliers that may lead to inaccuracies. By closing the books in real-time, businesses get a live picture of their finances, not a lagging one. We’re looking for an engineering leader who is excited to lead their team to execute on our vision for real-time accounting and own a critical part of Mercury’s product growth. As part of this role, you will: - Lead a team of 6+ exceptional software engineers, growing the team through performance management, mentorship, and hiring. - Contribute to a team culture that aligns to Mercury’s values. - Help define technical architecture for ingesting financial data from hundreds of sources and streaming them to Mercury’s accounting service. - Work closely with designers, product leaders, and other cross-functional stakeholders to shape product strategy and execute on the Accounting team roadmap. - Collaborate with other engineering teams on overlapping work, optimizing for product cohesion and simplicity over strict division of responsibility. The ideal candidate for the role: - Has 3+ years of engineering management leading full-stack product engineering teams, especially teams that have leveraged AI to build software. - Has made architectural decisions in the past and measured the impact of those decisions over time. You should be able to clearly articulate your technical opinions and lay out tradeoffs. Bonus points if you have experience in both monolithic and microservice architectures. - Has a strong sense of technical and product ownership and actively seeks responsibility – our engineers often act as product owners on small/medium projects, and we want someone who’s excited to help shape the future of our accounting products; previous experience in fintech/accounting or building consumer-facing AI products is a nice-to-have. - Is comfortable driving discussions in areas with ambiguous ownership, approaches them with empathy, and prioritizes reaching outcomes. Our work overlaps with many other teams – you’ll have a lot of autonomy in this role and are expected to use it to seek out ways to have an impact. If this role interests you, we invite you to explore our public demo at demo.mercury.com. The total rewards package at Mercury includes base salary, equity (stock options), and benefits. Our salary and equity ranges are highly competitive within the SaaS and fintech industry and are updated regularly using the most reliable compensation survey data for our industry. New hire offers are made based on a candidate’s experience, expertise, geographic location, and internal pay equity relative to peers. Our target new hire base salary ranges for this role are the following: - US employees (any location): $200,700 - $250,900 - Canadian employees (any location): CAD $189,700 - $237,100 Mercury values diversity & belonging and is proud to be an Equal Employment Opportunity employer. All individuals seeking employment at Mercury are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation, or any other legally protected characteristic. We are committed to providing reasonable accommodations throughout the recruitment process for applicants with disabilities or special needs. If you need assistance, or an accommodation, please let your recruiter know once you are contacted about a role. We use Covey as part of our hiring and / or promotional process for jobs in NYC and certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on January 22, 2024. [Please see the independent bias audit report covering our use of Covey for more information.] #LI-RA1
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Strategic Solutions Engineering, Netherlands/Sweden/Denmark
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Company Overview: Incubated inside UP.Labs, we're building scheduling intelligence for manufacturers - a vertical AI company focused on the gap between legacy ERP/MRP systems and modern production reality. Our thesis: the production scheduling tools manufacturers rely on today-AS400 green screens, rigid APS solvers, and endless spreadsheet workarounds-weren't built for the volatility these teams face daily. We're building a new system from scratch. Not another configuration layer on top of SAP. Not another dashboard. A fundamentally different approach to how manufacturers sense, respond to, and learn from schedule disruptions. We're a small, technical team in the 0-to-1 phase. No legacy codebase. No inherited architecture. Every design decision is still on the table. If that excites you more than it scares you, keep reading. The Role: We're looking for an Optimization Systems Engineer to own the integration architecture between scheduling and optimization algorithms and our product platform. You won't be writing solvers from scratch, you'll be the person who knows which solvers, heuristics, and optimization approaches to use, how to configure them, and most importantly, how to architect the systems that make them work inside a real product that real planners depend on. You'll be a peer to our Head of Data Platforms and Senior Data Scientist, forming the technical core of our scheduling intelligence capability. Your domain is the bridge between algorithmic intelligence and production software—making sure the math actually works in the messy, constraint-heavy, constantly-changing reality of a manufacturing floor. This is a lead role with a clear path to technical leadership as we scale. You'll have significant influence over our architecture, our technical roadmap, and the product we ship. What you'll do: APS integration architecture - Design how scheduling algorithms, constraint solvers, and optimization tools plug into our platform - Own the interfaces, data contracts, and execution patterns that connect algorithmic intelligence to our product Algorithm-to-product translation - Take optimization approaches (MIP solvers, heuristics, constraint programming) and architect production-grade systems around them - Own APIs, orchestration, state management, and rollback patterns Domain knowledge as a technical asset - Bring deep knowledge of how MRP runs work, where APS tools break down, and why planners abandon optimization outputs - Translate that knowledge into every design decision Technical evaluation of optimization tooling - Evaluate and select solvers, libraries, and frameworks - Know the tradeoffs between commercial solvers (Gurobi, CPLEX) and open-source alternatives and recommend based on our constraints, not vendor marketing System design for scheduling intelligence - Architect the software layer that handles schedule generation, what-if analysis, constraint evaluation, and recommendation delivery - Make it fast, observable, and trustworthy Cross-functional interface - Work directly with our data science and data platform teams to define what data you need, in what shape, at what latency - Translate fluently between the algorithmic world and the engineering world Who you are: We care more about how you think than how many years are on your resume. 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