San Francisco, United States
Engineering Manager - Platform
Dealpath · San Francisco · United States
Posted: 7/22/2026 · Last checked: 10/12/2026
Job description
Quoted in full from Dealpath's job posting. Gavroche does not edit it.
Dealpath’s engineering team is built on technical excellence, collaboration, impact, and execution, and we operate at the frontier of AI-powered real estate technology.
We’re looking to add an Engineering Manager who combines proven leadership with a genuine fluency in AI-assisted development, and the ability to coach their team to work effectively in that environment.
We're hiring experienced Engineering Managers for full-time roles, with a hybrid schedule that includes three days a week in the office in San Francisco, CA.
You’re excited about this opportunity because you’ll:
- Lead, mentor, and coach a team of talented software engineers, fostering growth, collaboration, and technical excellence.
- Champion AI-forward engineering practices using AI tools consistently in your own work and coaching your team to do the same: prompting with context and constraints, reviewing AI-generated code critically, and knowing when to rely on AI versus reason independently.
- Drive execution of high-impact product initiatives in close partnership with Product, Design, and Quality teams.
- Recruit and onboard world-class engineering talent.
- Provide clarity in scope and timelines while ensuring delivery of high-quality, testable, and secure code.
- Collaborate with architects and senior engineers to evolve platform architecture and technical strategy.
- Champion a culture of inclusion, transparency, and accountability within the team and across the company.
We’re excited that you are:
- Bringing deep technical expertise with 10+ years of professional software engineering experience.
- Experienced in leading and managing software engineering teams (3+ years in management or technical leadership).
- Passionate about enabling engineers to do their best work through coaching, feedback, and career development, including practical mentorship on AI coding tools and when to apply them.
- Technically strong in modern web application development (React, Node.js, Ruby, or similar).
- Skilled in building SaaS products at scale, with a focus on quality, security, and performance.
- An excellent communicator, able to work cross-functionally with Product, Design, Customer Success, and Sales.
- Excited to work in a fast-paced, growth-stage startup environment.
- Fluent in AI-assisted development. You use tools like Cursor, GitHub Copilot, or similar regularly in your own work, apply a deliberate review process before relying on AI output, and are ready to help engineers on your team develop the same habits.
Qualifications:
- 10+ years of professional software engineering experience.
- 3+ years of experience as an Engineering Manager, Tech Lead, or equivalent leadership role.
- BS in Computer Science, Software Engineering, or equivalent experience.
- You have experience scaling teams in a startup or growth-stage environment.
- Track record of delivering enterprise SaaS products, ideally in B2B or FinTech/PropTech.
- Strong organizational skills with the ability to balance technical depth and business impact.
- Consistent, hands-on experience with AI coding tools (Cursor, GitHub Copilot, Claude, or similar). Uses AI regularly across engineering tasks, validates output before shipping, and can coach engineers to build the same disciplined habits.
The Perks & Culture:
- Medical, dental, & vision insurance coverage
- Hybrid 3-days in office policy in SF
- Flexible Spending Account
- Paid Parental Leave
- 401(k)
- Company-sponsored commuter benefits
- Flexible time off policy
- Catered lunches and snacks
- Monthly wellness reimbursement
- The estimated pay range for California candidates for this position is $200,000 – $230,000 base.
- This position is also eligible for Dealpath's equity plan. Your compensation will be based upon several factors including your experience, qualifications, education, location, and the skills assessed in Dealpath's interview process.
- Your actual compensation will be confirmed in writing at the time of offer.
- Dealpath's compensation ranges are determined by current market data, so compensation data posted on our job posts may change as new market data becomes available.
About Dealpath
Dealpath is the world’s largest and most trusted AI-powered operating system for real estate investing. To date, the platform has powered more than $10 trillion in transactions, partnering with hundreds of firms, including leading global institutions such as Blackstone, Nuveen, LaSalle, CBRE IM, MetLife, Newmark, New York Life, UBS, Manulife, DWS, and Principal.
By bringing together the only private exchange for institutional real estate listings, investment data, and intelligent execution workflows into a single platform, Dealpath enables firms to capture more opportunities, make faster decisions, execute efficiently, and deliver superior returns.
Our company is led by an experienced team and backed by a combination of top tier venture capital firms and strategic industry partners including: Blackstone, Nasdaq, 8VC, JLL Spark, WTI, GreenSoil Investments, LeFrak, Milstein, Bechtel, and Morgan Stanley Expansion Capital.
We value your voice! If you get excited about solving real business challenges and working closely with other smart folks in a winning culture — we’d love to meet you!
Interview Process Notice
Dealpath conducts interviews via video conference. To support our interviewers with accurate note-taking, we may use AI-assisted transcription tools during your interview sessions. By participating in the interview process, you acknowledge that interviews may be recorded or transcribed using these tools for note-taking purposes only. Transcripts are used solely for internal evaluation and are not shared outside of the hiring team.
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200 open roles like this one; at most three per employer shown.
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Middle half: 226,725 – 295,975 USD a year; median 250,000 USD.
From 33 adverts by 24 employers that state a salary, annualised.
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1% fully remote · 0% hybrid · 99% do not say
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