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Vice President, Engineering
Submittable. Report to the CTO and run engineering day to day, including delivery, quality, reliability, cost, and people leadership .
Tech Stack
Tools & technologiesAWSAzureCloudDistributed SystemsKubernetes
About the role
Key responsibilities & impact- Report to the CTO and run engineering day to day, including delivery, quality, reliability, cost, and people leadership
- Translate the CTO's technical strategy and product roadmap into plans, priorities, and shipped software
- Spend approximately one-fifth of the week on hands-on technical work, including reading and writing code, reviewing pull requests, handling incidents, and building team tools
- Prototype, debug production issues, review pull requests, and ship tickets
- Make AI coding agents the default for design, coding, testing, and review
- Track DORA metrics, customer-facing defects, and engineering cost per release; report where AI helps or creates problems
- Keep the organization lean, maintain thin management layers, and favor small teams with clear ownership
- Automate test generation, CI/CD checks, code review assistance, release notes, incident triage, and alerting
- Set standards for architecture, code review, testing, CI/CD, release management, and incident response
- Own platform reliability, security, and cost across multi-tenant SaaS products running on AWS, Azure, and Kubernetes
- Partner with infrastructure and security teams to meet uptime targets, pass SOC 2 audits, and control cloud spend
- Work with the CTO and Product to add AI capabilities that help customers set up programs, review applications, and make funding decisions
- Help evaluate AI features for accuracy and fairness
- Recruit engineers and leaders who build with AI, coach managers, and create career paths rewarding impact and technical depth
- Partner with Product, Design, Customer Experience, and Support on scope, trade-offs, escalations, and customer-facing defects
Requirements
What you’ll need- Must have personally built and shipped production code using AI coding tools within the past 12 months
- 15+ years in software engineering
- Deep experience in distributed systems, API design, data modeling, AWS, Azure, Kubernetes, and DevOps
- 7+ years in engineering leadership, including at least 3 years leading other managers
- Experience raising team output without matching headcount growth, with measurable delivery, team-size, and cost results
- Experience building and running multi-tenant, cloud-based B2B SaaS products
- Record of shipping complex software on predictable timelines without sacrificing quality, security, or reliability
- Experience leading distributed teams across multiple countries and time zones, including offshore or nearshore partners
- Ability to explain technical trade-offs to executives and non-technical colleagues in plain language
- Track record of hiring, developing, retaining strong engineers, and building inclusive teams
- Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience
- Must live and reside in the United States full-time
- Must be eligible to work in the United States; Submittable cannot accommodate scholastic or employment visas
- Applicants residing in Alaska, Delaware, Hawaii, Louisiana, Maine, New Mexico, North Dakota, Oklahoma, Rhode Island, Vermont, Washington, West Virginia, or Wyoming cannot be considered
Benefits
Comp & perks- Comprehensive health and life insurance with optional HSA, FSA, and DCA accounts
- 401(k) plan with employer match starting day one
- Equity stock options to share in our success
- Flexible hours, remote work options, and generous vacation and sick leave
- Paid parental leave for mothers, fathers, and adoptive parents
- Professional development stipends to support your career growth
- Opportunities to participate in community outreach and volunteer programs
- Monthly company-sponsored happy hours and gatherings to connect and unwind