• Design, build, and scale our cloud-based lakehouse platform. • Own the end-to-end architecture of our data ecosystem on Databricks. • Partner with data science and analytics teams to productionize ML and analytical workloads. • Set the technical direction for ingestion, transformation, governance, and performance optimization across petabyte-scale datasets. • Write production code and mentor engineers. • Shape standards that the broader data organization will adopt.

Role Description Our client is a fast-growing marketing agency serving over 150 home service businesses. They specialize in performance-driven campaigns and are heavily investing in AI and automation to improve lead generation, tracking accuracy, and operational efficiency. They are looking for a hands-on Full Stack Engineer with proven experience in marketing/ad tech environments to build and scale internal systems that directly support campaign performance and revenue operations. This is a builder role, not a strategy-only position. You will develop internal tools, integrate AI into marketing workflows, and improve how the agency operates across ad platforms, tracking systems, and CRM-driven pipelines. You’ll work closely with leadership, media buyers, and operators to turn ideas into production-ready systems that directly impact campaign performance and lead conversion. Key Responsibilities - Internal Tool Development (Primary Focus) - Build and deploy internal tools using Next.js, React, and Python - Develop marketing dashboards, reporting systems, and operational tools - Replace manual workflows with scalable, automated solutions - Marketing Data, Tracking & Attribution (Core Focus) - Implement and optimize Meta Pixel and Conversion API (CAPI) - Ensure accurate event tracking, deduplication, and attribution - Build pipelines connecting ad platforms → backend systems → dashboards - Develop reporting systems that enable campaign optimization (ROAS, CPL, conversion quality) - AI Integration in Marketing Workflows - Apply AI to real marketing use cases such as: - Ad copy and creative generation - Lead scoring and qualification - Campaign insights and reporting automation - Work with APIs such as OpenAI and similar AI platforms - Build AI systems embedded into live marketing and operational workflows - CRM & Lead Lifecycle Automation (Critical) - Integrate and automate CRM systems such as GoHighLevel, Close CRM, HubSpot, or similar - Build systems connecting lead capture → CRM → follow-ups → conversion tracking - Implement automations including lead routing, pipeline management, and conversion syncing (offline events/CAPI) - Ensure data consistency between ad platforms and CRM outcomes - Rapid Execution & Iteration - Ship quickly, test, and iterate based on real campaign data - Collaborate with media buyers to solve campaign and operational bottlenecks - Continuously improve systems that impact marketing performance and efficiency Qualifications - 4–6+ years of hands-on software engineering experience - Strong full-stack skills (React / Next.js + Python) - Proven experience building and deploying production-level tools and systems - Experience working with APIs, webhooks, and automation systems - Active use of AI tools in day-to-day work - Hands-on experience working in marketing or ad tech environments (agency or performance marketing preferred) - Experience implementing or working with Meta Pixel and/or Conversion API (CAPI), including event tracking, deduplication, and attribution - Experience building dashboards or reporting systems for marketing campaigns (e.g., Meta Ads performance) - Hands-on experience integrating and automating CRM systems (e.g., GoHighLevel, Close, HubSpot, or similar) - Including lead capture, routing, pipeline management, and conversion tracking - Experience connecting ad platforms with CRM systems for attribution and reporting - Builder mindset with a strong bias toward execution Nice to Have - Experience working in a performance marketing agency environment - Familiarity with paid media metrics (ROAS, CPL, CAC, conversion rates) - Experience with tools like Zapier, Make, or similar automation platforms - Understanding of data pipelines and attribution challenges (e.g., iOS/privacy changes) What Success Looks Like - Internal tools actively used by media buyers and operators - Reduced manual work across campaign and CRM workflows - Accurate and reliable tracking and attribution across systems - Faster execution of campaigns and reporting - AI-driven systems improving lead quality, conversion rates, and efficiency Interview Process - Initial Phone Screen - Video Interview with Pavago Recruiter - Client Interview - Offer & Background Verification

Role Description - Represents MDM team for all product setup related projects. - Acts as lead during configurator related projects. - Collaborates and consults with business partners and stakeholders on how best to execute product structure in a way that meets or exceeds customer manufacturing, sales, installation, and maintenance requirements. - On-going maintenance of current products per business requirements, including the product lifecycle along with execution of the discontinuation strategy. - Provides an effective and timely interaction and resolution to product setup issues. - Price all products based on approved PCN and at appropriate point in workflow; calculate and enter reference pricing into Oracle (25 Pricelists + NAS Customer Specific pricelists). - Maintain NAS Customer Specific pricelist pricing matrix. - Ensure Product Management and others are following guidance for out of cycle price changes, PHCC changes, Product EOS + EOL. - Support all input for Product Compatibility matrix (CMS) on Support site working with QA Manager/Product Mgr (Customer facing). - Manage all End of Sale & End of Life product changes. - Plays a leadership role in providing scalable solutions and new or improved business processes that align with strategic goals, also establishing and driving alignment with Keysight Standards. Qualifications - Bachelor’s Degree in computer science, electrical engineering or equivalent combination of education and experience is preferred. - Good Understanding of Oracle EBS. - Understand object-oriented concepts and ability to implement them. Requirements - Sufficient technical and business breadth and knowledge of product representation and product structure. - Demonstrated aptitude with Keysight product lifecycle management systems and product BOM structures. - Sense of customer urgency: focus on customer and impact to customer. - Demonstrated ability to work in a team or to lead others to achieve a common goal, working in cross-functional projects and exhibit decision-making and good judgement. - Self-starter; takes initiative and able to work independently with little-to-no supervision. - Ability to define mathematical algorithms and complex logic expressions. - Excellent verbal, written presentation, collaboration and interpersonal communication skills. Company Description Keysight is at the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization. Our ~15,000 employees create world-class solutions in communications, 5G, automotive, energy, quantum, aerospace, defense, and semiconductor markets for customers in over 100 countries. Our award-winning culture embraces a bold vision of where technology can take us and a passion for tackling challenging problems with industry-first solutions. We believe that when people feel a sense of belonging, they can be more creative, innovative, and thrive at all points in their careers.

• Perform failure analysis and Finite Element Analysis (FEA) load simulations in SolidWorks for agricultural products.