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Lattice Engines

Lattice helps companies understand their ideal customers profile and predict who is going to be their next customers.

silicon_valley, east_bay, sf
101 - 250 Employees
26 - 50 Engineers
$50M - $100M Funding
Exited (Acquired)
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Lattice is an early innovator in the hottest area of big data applied to predictive marketing. We combine thousand of data signals from our customers and partners, and extract key business insights using a variety of machine learning, ranging from random forest to deep learning, to better understand business drivers behind each purchase decision. We can help companies predict: Who is going to be your next customer? What will they buy? How much will they spend with you ? And when are they ready to buy?

Lattice Engines photo 1 Lattice Engines photo 2 Lattice Engines photo 3
Active Roles 10 more active roles
Why join us?

  • Strong financial performance with record sales in 2018 and the company turned cash flow positive.

  • Funded by tier1 investors: Sequoia and NEA

  • Dominating the predictive market for B2B marketing and sales with very little competition and great company vision.

  • Very advanced analytics with tree based and deep learning algorithms. A lot of PhDs are working in the company.

  • Cutting edge multi-tenant cloud platform in AWS, built with technologies such as Docker, DynamoDB, ElasticCache, Redshift, Kafka, Akka, Hadoop, InfluxDB, AngularJS 2.0...

  • Outstanding product named Predictive Marketing Forrester Wave Leader in 2017, won CODiE 2017 Award for Best Sales & Marketing Intelligence Solution, named Strong Performer in Forester ABM Platforms Wave in 2018 and enjoys a 4.6/5 rating on G2 CROWD.

  • Awesome engineering culture encouraging ownership, autonomy and promoting personal career growth.

  • Human size with 140 employees and lots of growth opportunities.

Engineering at Lattice Engines
Engineering team and processes

We are using a SCRUM methodology with 6 weeks release cycle. We divide the release into 3 sprints of 2 weeks. The first 2 sprints are spent on features development and the last sprint is focused on integration and regression testing. The team encourages everyone to be very hands-on except managers, and have a clearly defined hierarchy of seniority from engineer, to senior engineer, lead engineer, principal engineer and architect. Even architects don't have direct reports and are expected to spend 50% of their time coding and the rest of their time coaching the team and designing solutions. We have a very strong UX and PM team we closely work with on roadmap, release scoping and ongoing execution. Most of the engineers are located in San Mateo, California, but we also have a small remote team in Beijing with mostly QA.

Technical Challenges

The engineering team is working on a variety of interesting challenges from data streaming, to batch data processing, to data science and tensorflows, advanced UI, open APIs strategy, container orchestration and configuration bootstrapping, etc...

Projects you might work on

  • You would get to work on our next generation data streaming architecture to help doing real time model scoring based on users behaviors.

  • You would get to work on our data science pipeline to move our python processing from Hadoop/YARN to Kubernete and Docker containers.

  • You would rearchitect our application to remove dependency from Hadoop HDFS and leverage S3 as a storage layer

  • You would work on data engineering project to integrate and prepare data from multiple customers sources using metadata based configuration

  • You would help building our micro-services stack to enable continuous deployment and services versioning and services isolations

  • You would implement various algorithms defined by the data science team in python, using Anaconda and tensorflow

  • You would redesign our current data processing pipeline to leverage Spark, Airflow and Beam

Tech stack
Redshift
Redis
Zookeeper
Kafka
Akka
DynamoDB
Docker
Node.js
Numpy
SciPy
Scikit-Learn
Tensorflow
Hadoop
Cascading
AWS
React
Apache Spark
Neptune
Java
Spring MVC
Working at Lattice Engines

We have very talented people with a lot of data scientists and PhD working at the company. We take our culture very seriously and our core values are: - create visible value - stay accountable - trade places - embrace your quirkiness - communicate respectfully - find a mentor/be a mentor - celebrate what's great - be a steward

Benefits and Perks
Free Food

Free Meal on every Friday and special occasions

Gym/Fitness
Maternal/Paternal Leave
Flexible Hours

Most of engineers are in the office between 10am and 6pm but we don't have hard rules around it. We prefer people to attend the scrum standups which are typically in the morning. We have a no meeting day on Wednesday where only managers are allowed to have meetings. You can work from home once a week unless you have a special agreement with your management.

Health Insurance

Provided by Sequoia, very good coverage.

Work from Home

One day a week, typically on Wednesday.

Team Activities

People organize themselves for different activities, we typically have quarterly outing for the engineering team and a few events during the year organized at the company level e.g. Summer picnic, Christmas Party, etc...

Relocation

We offer a relocation package to help for new employees coming out of state.

Beautiful Office

We have a great office space in San Mateo with easy access from the freeway. We have plenty of space for the team and keep expending the team as well as the traditional amenities you would expect with pingpong and foosball table :)

External Links

Interested in this company?
Skip straight to final-round interviews by applying through Triplebyte.

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