Build and maintain scalable data pipelines and Python automations for ingesting, processing, and enriching data. Integrate SaaS sources via APIs, use Databricks/PySpark/Delta Lake and AI tools to power lead generation, enrichment, deduplication, and entity resolution. Collaborate cross-functionally to translate business needs into automated, production-ready solutions.
About the Role
RequirementsTechnical Skills
BenefitsWhat We Offer:
We're looking for an AI-Enabled Data & Automation Engineer who thrives on solving complex data challenges through software and automation.
You'll be responsible for building scalable data pipelines, integrating data from multiple SaaS platforms, developing automation that powers lead generation and enrichment, and leveraging AI to dramatically accelerate development. You'll work with modern technologies including Python, Databricks, and LLM-powered tools to build solutions that directly impact business growth.
This role is ideal for someone who enjoys building, experimenting with new technologies, and continuously finding better and faster ways to solve problems.
Responsibilities- Design, build, and maintain scalable data pipelines for ingesting, processing, and enriching large datasets.
- Develop Python-based automation for data collection, transformation, validation, and workflow orchestration.
- Build and optimize data processing workflows using Databricks, PySpark, SQL, and Delta Lake.
- Integrate and process data from multiple SaaS platforms through REST APIs and other integrations.
- Develop scalable workflows for lead generation, company and contact enrichment, and sales intelligence.
- Implement processes for data cleansing, deduplication, entity resolution, normalization, and contact/company matching.
- Process structured, semi-structured, and JSON data from a variety of internal and external sources.
- Collaborate with product, engineering, and go-to-market teams to translate business requirements into scalable technical solutions.
- Identify opportunities to automate repetitive processes and improve operational efficiency.
- Continuously evaluate and adopt new AI tools and technologies that improve development speed and data quality.
RequirementsTechnical Skills
- 3–7+ years of experience in Data Engineering, Marketing Operations, Sales Operations, or a related technical field.
- Strong Python programming skills with experience in data processing, automation, and API integrations.
- Experience with Databricks, PySpark, SQL, and Delta Lake.
- Experience integrating and processing data from multiple SaaS platforms via APIs.
- Strong understanding of lead enrichment, data quality, deduplication, entity resolution, and contact/company matching.
- Experience working with structured, semi-structured, and JSON data.
- Familiarity with Git and modern software development practices.
- Undergraduate Degree in Computer Science, Engineering, Physics or other relevant degree
- Heavy user of AI coding tools such as Cursor, Claude Code, GitHub Copilot, ChatGPT, or similar AI development assistants.
- Demonstrated ability to leverage AI to accelerate software development, automate workflows, improve data quality, and increase productivity.
- Comfortable rapidly prototyping, testing, and iterating using AI-assisted development.
- Hands-on experience with lead generation and sales intelligence platforms such as Apollo, Clay, LinkedIn Sales Navigator, ZoomInfo, or similar tools.
- Experience with CRM platforms such as Salesforce or HubSpot.
- Familiarity with LLM APIs and AI-powered applications.
- Experience working in fast-paced startup environments.
- Strong communication skills with the ability to work cross-functionally and take ownership from concept through delivery.
Plum AI, Inc looks forward to applicants from US based candidates. We are not working with outside recruiters. We appreciate individual, not AI generated, applications. We may disqualify applicants who use AI in any part of the interview process.
BenefitsWhat We Offer:
- A fast-paced, collaborative startup culture with high visibility.
- Autonomy, flexibility, and a flat corporate structure that gives you the opportunity for your direct input to be realized and put into action.
- Opportunity to make a meaningful impact in building a company and culture.
- Equity in a financial technology startup.
- Generous health, dental, and vision coverage for employees and family members + 401K.
- Eleven paid holidays and unlimited discretionary vacation days.
- Competitive compensation and bonus potential.
Similar Jobs
Aerospace • Information Technology • Software • Cybersecurity • Design • Defense • Manufacturing
Lead Java software development for Advanced Ground Architecture: design, implement, review, and maintain cloud-based non-embedded software. Provide subsystem leadership, mentor engineers, guide architecture and systems engineering, ensure compliance with standards, and monitor cost and schedule performance.
Top Skills:
AngularC++Ci/CdCloudCloud EnvironmentCompilersCSSDebuggersHTMLJavaLinkersLinuxPrimavera P6PythonReactRequirements Management ToolsScaled AgileSoftware Configuration ManagementWindows
Aerospace • Information Technology • Software • Cybersecurity • Design • Defense • Manufacturing
Support export compliance for unmanned aerial systems: draft, submit, and manage ITAR/EAR licenses and commodity jurisdiction requests; classify technical data; manage license lifecycle and documentation; coordinate with stakeholders and provide licensing guidance as an empowered official.
Top Skills:
ExcelMicrosoft TeamsOcr EaseSharepoint
Aerospace • Information Technology • Software • Cybersecurity • Design • Defense • Manufacturing
Operate and maintain Insitu unmanned aircraft systems, plan and execute missions, collect/analyze payload and video data, perform pre/post-flight checks and maintenance, support customers in field deployments, and complete inventory and mission reporting. Deployable to remote/austere locations up to 70% travel.
Top Skills:
Basic NetworkingIntegratorRq21ScaneagleUas
What you need to know about the Boston Tech Scene
Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.
Key Facts About Boston Tech
- Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
- Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
- Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
- Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories
