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
Fintech • Information Technology • Insurance • Financial Services • Big Data Analytics
Oversee DHMO quality management and utilization management governance, regulatory committees, audit readiness, corrective action monitoring, compliance reporting, and quality improvement. Analyze operational, financial, regulatory, satisfaction, grievance, and performance data to identify risks and trends. Develop governance processes, policies, reporting frameworks, and documentation standards. Partner with cross-functional stakeholders and leadership to improve compliance, organizational performance, member experience, and provider outcomes.
Top Skills:
ExcelMicrosoft PowerpointMicrosoft SharepointMicrosoft TeamsMicrosoft Word
Artificial Intelligence • Automotive • Greentech • Information Technology • Machine Learning • Software • Cybersecurity
Manage and grow a portfolio of automotive dealer accounts for Autotrader and Kelley Blue Book products. Responsibilities include meeting revenue and retention goals, managing sales pipelines, conducting ROI reviews, identifying upsell and cross-sell opportunities, providing data-driven consultation, supporting implementations, and resolving customer issues. The role requires extensive relationship building, territory travel, consultative selling, and collaboration across sales teams.
Top Skills:
Analytics ToolsCrm SystemsDigital AdvertisingInternet PlatformsSales Enablement SystemsSocial Media
Artificial Intelligence • Automotive • Greentech • Information Technology • Machine Learning • Software • Cybersecurity
Manages strategic relationships with national commercial fleet clients, focusing on growth, retention, operational performance, and customer satisfaction. Monitors fleet KPIs, analyzes data, prepares reports, leads business reviews, resolves escalations, and coordinates cross-functional teams. Identifies process improvements, oversees SLA and audit performance, supports programs and SOPs, and provides proactive communication regarding operations, service issues, and product enhancements.
Top Skills:
Fleet Management Systems
What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory
