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  • Location: 316 S Eldorado St, San Mateo, CA 94401 (5 min. walk from Caltrain)
  • Founded: 2015
  • Stage: DO NOT SHARE IN WRITING $5.5M in Funding (already generating millions in revenue)
  • Company size:  25
  • Engineering size: 8
  • Visa Sponsorship: No, Transfers only on a Case-by-case 
  • Remote: Yes, flexible but must be Bay Area based. Flexible on early start times for commuters!
  • Tech Stack: Agnostic. Javascript Frameworks (Angular, React, Ember) Node, RoR, Python/Django, NoSQL, AWS
  • Additional Links


  1. Lead Software Engineer - Backend / Infrastructure
  2. Senior Software Engineer - Backend / Infrastructure

Interview Process

1. ~20 min Non-technical call with Recruiter, Matt Harris.

 2. ~10- 20 min Coding Exercise, done on your own time

  • Their team will review in 24 hours tops

3. ~ 60 min Technical Google Video Hangout with an Engineering team member.

4. ~ 2 hour Onsite Technical Interview (they have parking)

5. ~ 5 hours Final Onsite interview (they have parking)


  • Complete a short project


  • ~20 min give a presentation covering the project
  • Q & A with Eng. Work on some technical questions together
  • Meet with the Data Science team which this role works very closely with
  • Meet with Founders, Michael and Lillian
  • Lunch is provided

Quick Pitch

Second Measure is a data company that analyzes consumer behavior using credit card transactions. Their insights allow investors and marketers to uncover habits and trends that no one else can provide. The data is fully anonymized and they're the only company combining over 3,000 sources of public and private sources of info. In fact the next closes are teams like Earnest and 1010data only having sources ~ 120 - 300.


Second Measure is a secret weapon for our clients. Our data drives their core strategic decisions — how to invest multi-billion-dollar portfolios, how to allocate 9-figure marketing budgets, and how to prioritize large partnerships and acquisitions. 
Through our self-service platform, our clients get instant visibility into any consumer company — how quickly they’re growing, whether they’re gaining or losing share in key markets, how well they retain customers, how much those customers spend over their lifetime, and even where else those customers shop. This is game-changing data like you have never seen before!


  • Work/Life balance, they're not a sweatshop and do respect their employees time
  • Regular breaks/vacation
  • Adult startup (no nurf guns/ping pong) plenty of good people and conversation


  • $140k - $180k
  • 0.01% - 0.2% equity
  • Flexible for really a good candidate

Position 1: Lead OR Senior Software ENgineer - Backend Infrastructure

Must have Skills:

  • Team leadership and Architectural experience
  • 5+ years experience (3+ for stellar Senior Engineer)
  • Making critical Architectural decisions
  • Passion for mentoring other engineers
  • Real-world hands-on Eng.  experience with scaling up production systems for processing large data sets
  • Experience shipping highly available web applications
  • Experience with AWS, Google Compute, or migrating from one major Cloud service to another

What you'll do:

  • Work with local and a few remote (Germany and London) engineers
  • Collaborate closely with the Data Science team
  • As a backend engineer, you’ll build the performant, scalable, and fault-tolerant services on which our business runs.
  • Develop an analytics API for internal and external use
  • Benchmark a GPU workload across AWS and GCP instances
  • Implement geo-based load balancing of our core product
  • You’re comfortable building large-scale infrastructure from the ground up
  • You have years of experience shipping mission-critical code
  • You’re programming-language- and paradigm-agnostic

Nice to have:

  • Python, Docker, PaaS-on-Mesos/Kubernetes, microservices
  • AWS Lambda, Redshift Mesos frameworks,“serverless” architecture, ElasticSearch, Airflow
  • Redshift (and Spectrum), BigQuery, Druid/Kylin, MapD

Immediate No's:

  • Lack of relevant recent industry expereince
  • Being a co-founder immediately out of college and not having any additional strong core engineering work expereince
  • Only big corp. Experience (Some is actually great, but must have startup chops already established)

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