Engineering Manager, Proton.ai
Client Engineering
Offers stock options
More information about location
AI industry cloud platform for distributors
Job no longer available
AI industry cloud platform for distributors
101-200 employees
Job no longer available
Offers stock options
More information about location
101-200 employees
Company mission
To build the industry platform for distributors - one data layer, one AI brain, every workflow connected.
Role
Who you are
- 8+ years of professional experience in data engineering or backend engineering, with a focus on large-scale ETL/ELT systems and client integrations
- 2+ years of experience in an engineering management or technical lead role
- Experience managing customer-facing engineering teams or owning externally integrated systems
- Expertise in Python and SQL; strong familiarity with Spark, Airflow, or equivalent
- Proven experience with modern data warehousing (e.g., Delta Lake, BigQuery)
- Knowledge of Looker or equivalent BI tools
- Comfort with containerization, Git workflows, and CI/CD pipelines
- Excellent communication and leadership skills, with the ability to influence cross-functional partners and advocate for engineering priorities
Desirable
- Familiarity with Redis, Elasticsearch, NoSQL systems
- Experience leading teams in high-growth SaaS or B2B data platforms
- Experience with modern AI technologies in development
What the job involves
- Proton is seeking a seasoned Engineering Manager with a strong Data Engineering background to lead our Client Engineering team
- This team plays a critical role in enabling client success through robust, scalable data pipelines and integrations. As the leader of this team, you will combine engineering leadership with deep technical acumen in data systems to guide the development of scalable infrastructure and customer-facing implementations
- Reporting directly to our Head of Engineering, you will oversee a team responsible for transforming and ingesting customer data into Proton’s platform via Airflow, Python, Spark, and Looker. You’ll own technical decisions, optimize systems, scale operations, and collaborate cross-functionally to deliver impactful solutions to our clients
- Oversee the design, development, and scalability of data pipelines that ingest, transform, and deliver client data
- Guide architectural decisions and improvements as the platform scales from hundreds to thousands of jobs (Airflow, Spark, etc.)
- Ensure strong reliability, testing, and performance across all systems
- Drive continuous improvement in CI/CD, quality assurance, monitoring, and system design
- Lead the agile development process, manage sprint planning, backlog grooming, and ensure timely delivery of features and integrations
- Manage, mentor, and grow a high-performing team of data engineers
- Set clear goals and performance expectations, foster learning and development, and promote a collaborative, mission-driven team culture
- Recruit and onboard engineers with a strong data and integration background
- Partner with clients during onboarding and beyond to understand integration requirements, troubleshoot data issues, and deliver high-quality outcomes
- Serve as a technical escalation point for challenging client data issues
- Collaborate with Customer Success, Product, and Sales teams to align engineering resources with business needs
- Translate customer needs into scalable technical solutions, often acting as a technical advisor to both internal and external stakeholders
Our take
Proton.ai is part of a new wave of companies rethinking how sales teams operate in an increasingly digital-first world. Rather than simply digitizing existing workflows, it uses automation and AI to reduce manual effort and guide decision-making, so sales reps can focus on the right customers, products, and moments to engage.
The sales automation market is booming, but also crowded, forcing companies to specialize and stand out. Proton.ai has done exactly that by focusing on wholesale distributors, an often overlooked segment with complex inventories, fragmented systems, and highly relationship-driven sales processes. Its tools are designed to help both reps and customers navigate large product catalogues across multiple channels, bringing a layer of intelligence to what has traditionally been a manual, operationally heavy space.
That focus is now evolving into a broader platform play, with the company recently announcing an AI-powered "industry cloud" for distributors, combining CRM, product information management, eCommerce recommendations, and order automation into a single system. By replacing disconnected point solutions with a unified data layer, the company is positioning itself less as a tool and more as a core infrastructure for wholesale sales. Backed by strong funding and growing adoption, this shift gives Proton.ai a clear path to scale.
Freddie
Company Specialist at Welcome to the Jungle
Insights
-38% employee growth in 12 months
Company
Funding (2 rounds)
Apr 2023
$10m
SERIES A
Jan 2022
$20m
SERIES A
Total funding: $30m
Company benefits
- Company stock options: We believe everyone should own a part of something they help build, so we offer company equity to all employees.
- Flexible schedule: Work is important to us. As is being flexible. We know life doesn’t always land outside of a 9-5 schedule and make space for you to live your life.
- Unlimited Required PTO: We offer unlimited PTO, and we make sure everyone takes at least 2 weeks off per year.
- Company wellness days: In addition to company holidays, we offer wellness days, when the whole company takes a day off to rest and recuperate.
- 12 weeks paid parental leave: 12 weeks paid parental benefit for all parents (birthing, non-birthing, adopting, fostering).
- Health benefits: Get access to great healthcare benefits.
- 401k with employer contribution: We believe it's important to help our team plan for the future. For U.S. employees (for now), we directly contribute a 3% match of your salary to a 401k.
- Company-paid off-sites: Enjoy in-person brainstorming and team-building. All expenses covered so you can focus on bonding with the entire team.
Company HQ
Cambridge Highlands, Cambridge, MA
Leadership
Benjamin Cohen
(Founder & CEO)Prior to founding Proton.ai in 2018, Benjamin worked in Data & Marketing at Danaher Corporation. He was also a Researcher at Harvard Business School, where he graduated with a Bachelor's in Applied Mathematics.
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