Bloomerang

• Design and ship production pipelines on Databricks, using a medallion architecture grounded in Data Vault 2.0 modeling patterns. • Build and harden the curated and presentation layers—driving donor lifetime value, retention, lapse risk, and campaign ROI. • Resolve identity across products to compute values on one trustworthy record. • Move toward near-real-time data and partner with architects on Change Data Capture. • Extend existing tracing and AI lifecycle tooling into ETL. • Partner with AI and product engineers to ensure data is properly shaped for applications. • Use AI tools in daily development tasks. • Raise the bar on engineering standards, addressing testing, idempotency, documentation, and security.

• Design and run the experimentation engine for fundraising actions. • Build predictive and forecasting models that drive donor lifetime value and retention. • Own model quality and evaluation for trustworthy AI products. • Manage ML lifecycle on Databricks and MLflow including model training and performance monitoring. • Define technical direction for data science with high standards and rigor. • Partner daily with data engineers and AI engineers.

• Develop and Manage a Robust Sales Pipeline: Build, qualify, and oversee a sales pipeline that is approximately twice your sales quota. • Drive Your Pipeline: Generate around 30% of your pipeline through proactive outbound efforts, including LinkedIn, calls, and emails. • Own the Sales Process: Manage the entire sales cycle from discovery and product demos to negotiations, aiming to close a minimum of 40% of deals successfully. (Aligned with team average) • Lead In-Depth Evaluations: Lead comprehensive discovery calls, deliver live product demonstrations, and engage in detailed negotiations about Bloomerang’s software and services. • Maintain Forecast Accuracy: Ensure precise forecast reporting within 10% accuracy and effective pipeline management using Salesforce. • Engage with the Nonprofit Community: Immerse yourself in the nonprofit sector to build credibility to become a trusted advisor, educating prospects on Bloomerang’s value and how we help solve nonprofits challenges • Become a Bloomerang Expert: Gain deep knowledge of all Bloomerang tools and services to effectively support and guide prospects.

• Coordinate with internal and external teams to handle payment migration processes. • Communicate payment migration-related information clearly and concisely across the organization as necessary. • Oversee data transformation and migration processes, ensuring accuracy, data integrity, and compliance with internal and external requirements. • Become an expert in migrating data to and within the Bloomerang platform. • Translate complex technical information and processes into clear and concise documentation tailored to a variety of audiences. • Establish and develop relationships with external payment processors and internal Bloomerang teams; implement best practices and process optimizations. • Identify technical and procedural bottlenecks, support escalation management, and drive accountability across stakeholders.

• Own Outcomes for a Customer Persona • Stay Close to Customers • Identify Problems Worth Solving • Build, Prototype, and Experiment • Deliver Outcomes, Not Features • Operate as an AI-Native Product Manager • Hold a High Quality Bar • Create Clarity and Focus

Role Description As an AI Platform Engineer within our System Administration team, you will design and build the internal AI platform that every Bloomerang employee uses to do their best work. This role isn’t just about maintaining infrastructure — it’s about shipping a product. You will architect a unified AI workspace where authentication, integrations, governed data access, and shareable skills come together so every employee can be an AI power user without configuring a thing. Beyond the platform build, you’ll also have an active hand in advancing Bloomerang’s adoption of existing internal AI tools — Replit, Claude, Gemini, Skyvern, and others — partnering with our AIOps Engineer to keep the broader ecosystem moving forward. What You Will Do - AI Platform Build - Ship the Product: Design and build Bloomerang’s internal AI platform end-to-end, from architecture through iteration. - Frictionless Access: Build a unified workspace where employees sign in once and every tool, integration, and capability is ready on day one. - Governed Intelligence: Partner with data and security stakeholders to integrate role-based, just-in-time access to a tiered data model. - Marketplace of Skills: Build the internal app store where employees can publish, discover, and one-click install reusable skills, flows, and agents. - Memory That Works: Architect a context system that lets the platform know what people are working on without asking them to re-explain. - Internal AI Tooling Enablement - Hands-On With the Stack: Partner with the AIOps Engineer to advance Bloomerang’s adoption and capability with Replit, Claude, Gemini, Skyvern, and other AI tools already in use. - Builder Support: Help internal builders get the most out of existing tools through templates, examples, and direct technical partnership. - Embedded Discovery - Sit With Users: Spend time with employees across departments to see how they actually work and where the platform can move the needle. - Translate Into Capability: Turn what you observe into shipped features — primitives others can build on, not one-off solutions. Qualifications - The Builder Mindset: You ship. You’d rather have something rough running in production than something perfect on a whiteboard. - Mixed AI & Generalist Depth: You’ve built with LLMs and agentic frameworks, and you’re a strong generalist software engineer. - Platform Thinking: You build for the second user, not just the first. One person’s breakthrough should become everyone’s baseline. - Modern AI Tooling Fluency: Working knowledge of Claude Code, Replit, MCP, and the broader agentic ecosystem. - Identity & Security Fluency: Comfortable integrating SSO (OIDC/SAML) into custom applications and reasoning about least-privilege access. - Communication: You translate user needs into technical solutions without losing the nuance — and explain what you built back in their language. - Adaptability: The AI landscape shifts weekly. You’re energized by that, not exhausted by it. - High Ownership: Greenfield build, small team. You make decisions, ship, and adjust. Benefits - Health + Wellness: You’ll have access to generous health, vision, and dental insurance options as well as HealthiestYou, a healthcare service that offers convenient, confidential access to quality doctors 24/7, anytime, anywhere. - Time Off: You'll get a competitive PTO package that includes 20 PTO days, 3 flex days, 4 optional volunteer days, 12 paid holidays, as well as paid parental leave. More is more! - 401k: You'll receive a 401k match to help invest in your future. - Equipment: Everything you need to be successful, shipped right to your door. You got this. We got you. - Compensation: The salary range for this position is $127,000 - $153,000. You may also be eligible for a discretionary bonus. Actual compensation within the range will be dependent on your skills, experience, qualifications, and location, as well as applicable employment laws. - Location: This is a permanent, full-time, fully remote position (within the U.S. and select Canadian Provinces only). Employees living in Indianapolis, IN are welcome to work from our company headquarters. We do not offer Visa sponsorship or relocation assistance at this time. - Accommodations: Applicants who require accommodations may contact careers@bloomerang.com to request an accommodation in completing an application. Company Description Bloomerang is an Equal Opportunity Employer. Individuals seeking employment at Bloomerang are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation.

• Provide excellent customer service and day-to-day support for all of Bloomerang’s customers by answering their Bloomerang questions via email, live chat, and phone. • Apply and demonstrate basic product knowledge while adhering to standard operating procedures to resolve customer issues. • Demonstrate support for Support initiatives with stakeholders and promptly respond to questions and resolve issues via written, verbal, and electronic communication. • Carry your own weight in ticket volume (approximately 25 interactions per day). • Assist customers with Bloomerang software. • Ensure proper software utilization by customers. • Conduct new customer implementations and training. • Develop and deliver training webinars to customers and internal employees. • Write and create help documents and videos. • Assist with general software quality assurance and testing. • Provide software design and functionality feedback to the Product Development team.

• Own the Platform & Integration Strategy. • Enable Cross-Product Workflows. • Build for Agents & Automation. • Act as the Connector Across Product Teams. • Operate in a Modern, AI-Assisted Product Lifecycle.

• Deliver against commitments with a focus on quality • Diagnose and resolve technical issues, maintaining reliability and performance • Actively participate in Agile ceremonies and workflows • Engage meaningfully in code reviews • Embrace AI-driven development using tools like Claude Code • Collaborate with and learn from teammates, contributing to a high-quality engineering culture

• Own and scale lifecycle strategy across onboarding and adoption, driving time-to-value, engagement, payments activation, and revenue growth • Build and optimize multi-channel customer journeys (email and in-app) using behavioral data, segmentation, and continuous testing • Develop and embed AI-powered systems and workflows to improve targeting, execution, and decision-making at scale • Translate customer behavior and lifecycle performance into actionable insights that drive adoption, retention, and expansion • Establish performance frameworks to measure impact, prioritize initiatives based on ROI, and continuously optimize programs • Partner cross-functionally to align lifecycle strategy with product and go-to-market initiatives, influencing decisions through data • Own programs end-to-end and support customer-facing initiatives that drive product adoption, engagement, and education