Tech Lead, M&A Platform

American Operator

$150K — $200K *
US-AnywhereRemote in Austin, TX
Enterprise Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree or equivalent in Engineering, Computer Science, Data Science, or related field
  • 8+ years of software/data engineering experience, especially in GTM-oriented roles
  • Strong product intuition with the ability to create technical solutions from business processes
  • Preference for rapid iteration; prioritizing results over extensive coding
  • Effective communicator capable of collaborating with technical and non-technical teams

Responsibilities

  • Collaborate with cross-functional teams to identify challenges and opportunities in M&A processes
  • Utilize software and AI to enhance the quantity and quality of acquisitions per employee
  • Manage the M&A platform from planning to implementation and ongoing support
  • Enhance system architecture for data processing, entity resolution, and storage
  • Develop internal tools that streamline workflows and reduce time spent on data analysis
  • Create integrations and automations to maintain clean data and synchronized systems

Benefits

  • Opportunity to lead impactful projects directly reporting to the CEO
  • Focus on problem-solving in a high-stakes environment
  • Emphasis on iteration and flexibility in using third-party tools
  • Potential for engagement in diverse technological challenges
  • Chance to contribute directly to the growth of M&A initiatives
Full Job Description
This role, done well, will allow us to keep building unfair leverage for our team in identifying, prospecting, diligencing and closing acquisitions.

The ideal person has experience designing and building data-intensive applications, prides themselves on needing minimal product oversight, and takes an aggressive approach to rapidly iterating toward success with business users (vs. delivering overly complex or academic solutions). The ideal candidate is obsessed with solving problems and delivering results, not with building the most complicated in-house solution.

The majority of your time will be building on the systems that power our acquisition engine - from web-crawling and entity resolution to AI-powered workflows and tools for our business development and investments teams. This position will report to the CEO.

RESPONSIBILITIES
  • Partner deeply with cross-functional teams to understand constraints, challenges and opportunities associated with our M&A process.
  • Leverage software, data and artificial intelligence to maximize the quality and number of businesses we can acquire per FTE.
  • Own our M&A platform end-to-end, responsible for roadmap, implementation and ongoing support / enablement.
  • Improve and own the system architecture, including data ingestion, entity resolution, enrichment, scoring models, and storage.
  • Identify, prototype and deploy internal tools and workflows that allow our team to spend more time meeting with prospective sellers and less time analyzing data or drafting memos.
  • Build integrations and automations via APIs, webhooks, and tools like Zapier/Make to keep data clean and business systems in sync.


MINIMUM QUALIFICATIONS
  • Bachelor's degree or equivalent practical experience in Engineering, Computer Science, Data Science, or a related technical field
  • 8+ years of software and/or data engineering experience, with demonstrated depth in GTM-oriented work.
  • Strong product intuition and the ability to translate business workflows into well-architected technical solutions.
  • Bias towards rapid iteration and using third-party tools where possible. You care more about delivering results than writing code.
  • Strong communication skills and the ability to collaborate effectively with both technical and non-technical stakeholders.
PREFERRED QUALIFICATIONS
  • Familiar with web crawling, enrichment, and entity resolution best practices.
  • Previously founded or joined an early stage company
  • Past experience at a Fin-Tech or financial company - you're familiar with key terminology and concepts associated with lending, investing or banking
  • Past work focused on small business segment


COMPENSATION

The anticipated base salary range for this position is listed below. Total compensation may also include a discretionary performance-based bonus and equity. Please note that compensation is determined based on a variety of factors, including, but not limited to, relevant work experience, education, skills, and other qualifications specific to the role.

$150K - $200K

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