Bonterra

Full-stack Engineer

• Support the technical health and quality of existing features and new AI-powered features, ensuring alignment with overall product goals while maintaining high engineering standards.
• Contribute and support successful sprint planning, execution, and retrospectives for features.
• Own release cycles, ensuring high-quality releases and coordinating sprint reviews and demos.
• Work closely with product management, data science teams, and other engineering teams to define product features, manage project scope, and align on priorities.
• Collaborate with Lead Engineers, Engineering Managers, and Architects: work closely with others to design, develop, and deliver large-scale data applications utilizing LLMs and other AI tools to enhance product delivery.
• Contribute to the continuous improvement of product technologies, ensuring the team remains at the forefront of emerging trends in AI, machine learning, and data science.
• Create comprehensive documentation and training materials to improve team efficiency, ensure knowledge sharing, and facilitate onboarding, particularly in AI technologies.
• Collaborate with DevOps and SaaS Teams: work together with DevOps and SaaS teams to implement and maintain CI/CD pipelines.
• Cultivate a Positive Company Culture: Foster a company culture that values cross-team collaboration and trust.

Software Engineer, Mobilize

• Own the technical health and quality of existing features and new AI-powered features, ensuring alignment with overall product goals while maintaining high engineering standards.
• Contribute and support successful sprint planning, execution, and retrospectives for features.
• Own release cycles, ensuring high-quality releases and coordinating sprint reviews and demos.
• Work closely with product management, data science teams, and other engineering teams to define product features, manage project scope, and align on priorities.
• Collaborate with Lead Engineers, Engineering Managers, and Architects: work closely with others to design, develop, and deliver large-scale data applications utilizing LLMs and other AI tools to enhance product delivery.
• Contribute to the continuous improvement of product technologies, ensuring the team remains at the forefront of emerging trends in AI, machine learning, and data science.
• Create comprehensive documentation and training materials to improve team efficiency, ensure knowledge sharing, and facilitate onboarding, particularly in AI technologies.
• Mentor and guide team members, fostering a culture of continuous learning.
• Contribute high-quality code to the product, including optimizing algorithms, maintaining high availability and uptime, and implementing AI-driven features.
• Regularly evaluate and refine engineering processes, with a particular focus on improving workflows for development, AI technologies, testing, and deployment.
• Collaborate with DevOps and SaaS Teams: work together with DevOps and SaaS teams to implement and maintain CI/CD pipelines.
• Cultivate a Positive Company Culture: Foster a company culture that values cross-team collaboration and trust.

Senior Software Engineer

Consultant

• The Onboarding Consultant works independently to deliver small (4-15 week) client implementations, requiring strong individual accountability.
• This role works closely with nonprofit Program Directors to lead implementations of Bonterra’s software.
• The primary responsibility of the Onboarding Consultant is to design and implement a solution that meets the customer's needs, taking into consideration staffing and programs, the client’s previous tools, and reporting requirements.
• Secondary to delivering a technical solution is the goal of empowering your clients with the skills and confidence needed to take ownership over their solution when your work is done.
• A successful implementation is one that both meets the customers’ needs and is quickly adopted by their staff.
• Acquire and maintain expertise in a subset of Bonterra products across the Case Management and Fundraising & Engagement product suites.
• Apply your expertise to pursue new, creative and previously unchartered paths to solving customer needs when templated approaches aren’t a fit.
• Get to know your customers’ world to uncover dependencies and requirements for the software they’ve purchased.
• Design and configure custom solutions within budget to meet the customers’ needs.
• Produce clearly articulated solution documents and demonstrations, with the ability to estimate hours and timeline necessary to complete the work.
• Expertly perform technical demonstrations of your solution to clients and relate them to specific client requirements.
• Lead working sessions with customers so they’re learning as you collaboratively build their solution.
• Develop and cultivate strong, trusted relationships with contacts at various levels of the customer’s organization, up to the VP/Director level.
• Maintain accurate project records in our internal CRM (Salesforce) and project management tool (Monday.com) on a daily basis.
• Balance your personal performance targets in the areas of utilization, client satisfaction, and budget.
• Meet weekly over Zoom with each customer. Your day will be a mix of customer calls and behind-the-scenes work.
• Proactively identify and respond to risks.
• Prevent escalations from occurring with your customers, and involve internal stakeholders for support as needed.
• Lead difficult conversations with customers regarding project budgets, timelines and priorities, holding boundaries while empowering customers.
• Simultaneously manage between 15-20 projects.

Onboarding Consultant

Product Adoption Specialist

• Design and execute proactive, scalable adoption programs to help Bonterra customers achieve success with products.
• Build and maintain structured adoption journeys via Pendo, Gainsight, and other tools using an omni-channel approach (email + in-app).
• Develop Onboarding Journeys and Post-Onboarding Journeys to accelerate time-to-value and drive retention.
• Design and run Targeted Adoption Campaigns to promote feature adoption; draft customer-facing copy for in-app messaging and emails.
• Partner with Events & Community Manager and Digital Learning Architects to integrate events and educational resources.
• Launch surveys near the end of campaigns; summarize results and recommend product or educational changes.
• Coordinate with Customer Success Management to layer in human-led motions when necessary.
• Execute ad-hoc adoption motions and quick in-app or email nudges; monitor performance and determine scaling.
• Use product analytics to identify adoption gaps, friction points, and opportunities; report on campaign performance.
• Partner with Product, CS, and Support to align adoption journeys with lifecycle milestones and product priorities.
• Act as voice of the customer internally, championing ease of use and clarity of messaging.

Digital Adoption Specialist

AI Engineer

• Design and implement LLM-based agentic applications, run experiments, establish technical patterns for the team and mentor other engineers.
• Write code 90%+ of the time and iterate with the frequency of a startup.
• Design and implement AI agents using LLMs, vector databases, orchestration frameworks and connect to external systems using MCP.
• Define architectural patterns for prompt engineering, agent workflows, and system integration.
• Build on AWS (Bedrock, Lambda, DynamoDB).
• Establish and execute testing and evaluation strategies for non-deterministic AI systems.
• Partner with product teams to scope and plan, interview customers to gather feedback and boost adoption.
• Work directly with the Chief Architect and SVP of Engineering who contribute code to AI solutions.

Lead Software Engineer, AI

Manager

• Responsible for Revenue Accounting operations and systems, analysis and report preparation, and maintaining documentation and improvements of policies, processes, and internal controls around Revenue and related Balance Sheet accounts
• Prepare and collaborate on revenue fluctuation analyses and deferred revenue reconciliations at month-end
• Work closely with Finance, Sales, Legal, and Operations to create, implement, evolve, and report on processes and metrics around Accounts Receivable, Contract Assets and Liabilities, and Revenue
• Sustain and manage a team to effectively handle change, people, systems, and processes specific to revenue recognition
• Oversee processes to ensure timeliness and accuracy of revenue activities, leveraging automation and technology
• Maintain and establish internal controls, develop and implement remediation activities to address gaps and audit findings
• Evaluate contracts, non-standard terms, and contract modifications to determine accurate revenue recognition
• Review reconciliations of general ledger accounts and ensure reconciling differences are explained and resolved
• Stay informed on US GAAP policies and best practices and implement training/procedures to ensure compliance
• Recommend and implement modifications to improve financial processes and automate manual processes
• Serve as primary point of contact for contract or revenue recognition related activities for internal customers, senior leadership, auditors, and other stakeholders
• Prepare monthly balance sheet and P&L documentation for submission to leadership
• Supervise staff including coaching, career discussions, selection recommendations, disciplinary actions, approving assignments and leave, and ensuring training is provided

Revenue Manager

Chief Technology Officer

• Bonterra exists to propel every doer of good to their peak impact.
• We are seeking a highly capable, trusted Chief of Staff to partner directly with our Chief Technology Officer in leading a rapidly scaling R&D organization.
• This role sits at the intersection of strategy, execution, and technical delivery — with visibility into our most critical initiatives and the pace to match.
• Serve as a right-hand advisor, supporting decision-making and ensuring priorities are translated into actionable plans.
• Drive the execution of high-priority R&D initiatives, ensuring alignment across engineering, product, and business stakeholders.
• Manage the planning, review, and reporting cycles for R&D, including quarterly business reviews, roadmap alignment, and sprint cadences.
• Oversee cross-functional technical programs, from roadmap development to delivery tracking and risk management.
• Partner with engineering and product leadership to bring AI-driven initiatives from concept to launch.
• Monitor progress against OKRs and strategic goals, including AI adoption and delivery milestones.

Chief of Staff to the CTO

User Researcher

• Reporting to the VP, Product Design & Research, you will set vision and raise the bar for a multi‑product portfolio.
• Operate as a player‑coach—hands‑on with important work while coaching and growing a multidisciplinary team across products.
• Bring research, accessibility, and systems thinking together to deliver inclusive, high‑quality experiences with measurable outcomes.
• Drive end‑to‑end design and research strategy aligned to business goals, product outcomes, and customer value.
• Champion accessibility (WCAG 2.x/3.0) and inclusive design principles.
• Establish clear quality bars and design standards; scale excellence through design systems, guidelines, and reusable patterns.
• Integrate qualitative and quantitative research into product decisions.
• Partner with Product, Engineering, Data, and GTM to define strategy, shape roadmaps, and deliver outcomes.
• Use AI tools to improve workflows and collaboration.
• Build operating rituals that improve velocity, quality, and alignment.
• Develop talent—hire, onboard, mentor, and create growth pathways.
• Define and track UX health metrics to measure impact.
• Represent design and research at the leadership table.
• Provide empathetic leadership to union and non-union employees.

Director, Product Design and UX Research

Data Engineer

• The Data Engineer I supports the execution of conversions, data hygiene, basic edits and custom data services by performing basic data manipulation, editing, and transformation tasks.
• Run and monitor recurring data update and ingestion jobs.
• Perform basic data editing, formatting, and normalization in SQL-based workflows.
• Support the transformation of raw or external data into usable internal formats.
• Assist in data validation, anomaly tracking, and issue escalation.
• Document standard workflows for future execution and training.

Data Engineer I

Customer Support

Provide exceptional customer support across email, chat, and phone channels.
Swiftly and accurately address customer inquiries with professionalism.
Exemplary attention to detail to swiftly identify and escalate technical issues to internal support teams.
Ensure timely ticket escalation to appropriate departments.
Cultivate collaborative relationships within the Customer Support team and across departments to effectively meet customer needs.
Demonstrate a passion for Bonterra Tech and possess strong technological aptitude, willing to collaborate with various organizations seeking assistance.
Exhibit excellent oral and written communication skills, coupled with robust critical thinking and logical problem-solving abilities, with a willingness to learn.

Client Support Specialist I

Project Manager

• The EA - Project Manager supports high-impact, cross-functional initiatives across NGP VAN’s Operations organization.
• This role is responsible for project managing work related to Pipeline Cloud and Pipeline Classic, two core data integration products, including platform migrations, conversions, and custom importer initiatives.
• The EA-Project Manager also owns the data dictionary for Pipeline Cloud and is responsible for drafting and managing internal Statements of Work (SOWs).
• This position ensures project execution is timely, coordinated across teams, and aligned with organizational priorities.
• Lead project management of work streams related to Pipeline Cloud and Pipeline Classic, technical conversions, workflow management, and system improvements.
• Coordinate development and operational timelines for custom importers associated with both products.
• Maintain and own the Pipeline Cloud data dictionary, ensuring definitions and processes are accurate and current.
• Draft, manage, and track internal Statements of Work (SOWs) for initiatives related to data product improvements, migrations, and infrastructure readiness.
• Define project scope, goals, deliverables, and schedules in collaboration with internal stakeholders.
• Facilitate clear communication and coordination between Support, Sales, Data Operations, and other teams as needed.
• Maintain documentation including project plans and status reports.
• Identify blockers, technical dependencies, and process gaps—and drive solutions with cross-functional partners.
• Support post-project reviews and help implement continuous improvement practices across technical workflows.

• Design, build, and maintain robust data reporting pipelines using AWS Glue, Lambda, and DBT, powering insights via Amazon QuickSight and internal analytics tools.\n• Develop scalable backend services with modern technologies such as Python, Node.js, and TypeScript, ensuring code is maintainable, testable, and performant.\n• Own complex technical challenges from end to end, contributing across the full software lifecycle, from sprint planning and design through implementation, reviews, and demos.\n• Use AI as a force multiplier: explore LLMs, agentic tools, and AI-integrated features to accelerate development and improve the developer and user experience.\n• Collaborate with cross-functional partners, product managers, designers, QA engineers, and fellow developers — to deliver features that align with user needs and business goals.\n• Promote a healthy engineering culture through thoughtful code reviews, technical mentorship, and active knowledge sharing.