Adaptive is fundamentally changing how construction companies manage their back office. Founded in 2021, the company provides an AI-native financial operating system specifically designed for builders. Construction finance is notoriously complex—plagued by fragmented tools, shifting budgets, manual data entry, and delayed reporting. Adaptive gives general contractors a team of AI agents that automate job costing, billing, payments, and reporting, delivering real-time financial clarity so builders know exactly where they stand on every project.
With over $26 million in funding from top-tier investors like Emergence Capital and a16z, and rapid adoption by around 1,000 customers since its 2023 launch, Adaptive is scaling fast to modernize a massive, historically underserved industry.
At Adaptive, the culture is defined by a strong sense of urgency, creativity, and teamwork. Building for the construction industry requires a deep understanding of the customer's pain points—often involving low margins and heavy cash flow burdens.
The team is driven by the mission to make construction finance fast, easy, and accurate. There's a strong emphasis on continuous learning and iterating quickly based on customer feedback. It's an environment suited for builders who want to see their work have a direct, tangible impact on how real-world businesses operate.
Whether you're an engineer, product manager, or part of the go-to-market team, your work at Adaptive centers around simplifying complex financial workflows.
- Engineers focus on building robust, scalable systems that can ingest unstructured financial data (like invoices and receipts), structure job costs, and route approvals automatically. You'll be working at the intersection of AI, fintech, and enterprise SaaS.
- Product Managers spend their time understanding the intricate workflows of construction accounting and translating those into intuitive product features that automate manual bookkeeping.
- GTM Teams engage directly with construction firm owners and finance teams, showing them how to move from reactive, spreadsheet-based accounting to real-time financial control.
Adaptive offers competitive compensation packages for a Series A startup in New York. Based on recent job postings:
- Engineering Roles: Senior Software Engineers can expect base salaries in the $200K–$250K range, while Staff Engineers and Engineering Managers range from $220K–$270K.
- Product Roles: Product Managers typically see base salaries between $160K–$200K.
- GTM Roles: Account Executives (Enterprise) can earn $200K–$240K (OTE), and Mid-Market AEs are in the $180K–$200K range.
While specific details on equity and benefits aren't extensively publicized, standard early-stage startup equity packages are expected alongside base salaries.
Publicly available details on Adaptive's specific interview process are currently limited. However, candidates applying for engineering roles should anticipate standard technical screens, including system design discussions and practical coding exercises relevant to building scalable financial systems. Product and GTM candidates should be prepared to demonstrate their ability to understand complex customer workflows and communicate value effectively.
Why Join:
If you want to build technology that solves real, painful problems in a massive industry, Adaptive is a compelling choice. You'll be working on a product that directly impacts the bottom line of construction businesses, backed by top-tier investors. The opportunity to work with AI in a practical, high-value context (fintech/accounting) is significant.
Why Not:
Construction tech isn't for everyone. It requires deep empathy for an industry that has traditionally been slow to adopt new software. The domain is complex (ERP, accounting, job costing), and the learning curve can be steep. If you prefer consumer-facing products or established, highly structured corporate environments, an early-stage startup tackling construction finance might not be the right fit.
Founded
2021
Employees
11-91
Valuation
$26.25M total funding
Work Model
Unknown
Unknown