Boston Tech Jobs and Startup Jobs

3

Director of Product Management

Klaviyo
Greater Boston Area
3 days ago
+42
Product Management at Klaviyo: The product team at Klaviyo is passionate about identifying, spec’ing and shipping solutions to solve customer problems. Klaviyo is a startup located in the heart of downtown Boston. We build software that helps tens of thousands of businesses have more relevant and personal relationships with billions of consumers. We are a product driven company and over invest in making beautiful, efficient and fast workflows

Product Manager

Senior Product Manager - Business Intelligence

SHYFT Analytics
Greater Boston Area
1 week ago
+19
SHYFT is seeking an Senior Product Manager for its data visualization product; LUMEN. LUMEN delivers strategic and tactical insights across clinical and commercial organizations. It combines executive, home office, and field intelligence to drive the performance of commercial teams. It also serves medical science teams with detailed disease overviews, patient journey insights, and burden and cost of care analytics. LUMEN is the premier data visualization application specifically dedicated to life science organizations. 

Technical Lead (Infrastructure & Security)

Soroco
Greater Boston Area
1 week ago
A Technical Lead in Soroco's Infrastructure & Security team reports directly to Soroco's Head of Infrastructure and Security and is responsible for architecting and engineering some of Soroco's more advanced and large-scale infrastructure systems. As part of these responsibilities, the Technical Lead will lead a team of engineers across some of Soroco's clients to deliver highly reliable systems. The Technical Lead will also periodically engage directly with the client to understand requirements and educate the client on Soroco's infrastructure and security practices. The types of systems the Technical Lead would be responsible for would contain a balance of DevOps, distributed systems, data science, and machine learning (or statistical techniques). The goal is to monitor and analyze large data sets, apply learning techniques to them, and then to automate IT operations based on the learnings at scale.

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