Kindsight

People Operations

• Own and execute day-to-day People Operations activities across the employee journey, including onboarding, offboarding, employee changes, documentation, and data management
• Support benefits administration, leave tracking, and compliance-related processes
• Respond to employee questions and requests with clarity, care, and a strong service mindset
• Identify inefficiencies in existing processes and proactively suggest improvements
• Leverage AI tools and automation platforms to streamline workflows
• Plan, coordinate, and execute internal events that foster connection and engagement
• Manage office operations virtually for physical spaces

People Operations Generalist

• Lead, mentor, and develop a People Operations team
• Establish and evolve the People Operations function to support a growing organization
• Serve as an embedded People Operations partner to a designated business group
• Design, implement, and scale core People Operations programs
• Use data and insights to assess program effectiveness and inform future improvements

Senior Manager, People Operations

Onboarding Specialist

• Plan and facilitate the onboarding process for new customers
• Work directly with customers to answer questions and troubleshoot issues
• Deliver tailored training sessions and create documentation
• Collaborate with cross-functional teams to ensure smooth onboarding
• Provide feedback on onboarding processes for continuous improvement

Product Manager

• Lead the end-to-end product development process, from concept to launch, for your specific product, feature or workflow, within budget, and to the highest quality standards.
• Define requirements, create user stories, and collaborate with engineering teams to execute product development initiatives.
• Communicate product strategies, roadmap priorities, and progress effectively to ensure alignment and support across the organization for your product area.
• Collaborate closely with cross-functional teams including software development, marketing, and sales to prioritize features and deliver impactful solutions.
• Develop and maintain a high-level roadmap prioritizing features and initiatives based on business objectives, customer feedback, and market analysis.
• Continuously evaluate and refine the roadmap to ensure alignment with strategic priorities and market trends.
• Lead in understanding customer needs and gathering feedback to inform product decisions.
• Conduct market research, competitive analysis, and customer feedback to identify market opportunities, trends, and challenges. Use insights to inform product decisions, prioritize initiatives, and drive product innovation.
• Define product positioning and messaging to differentiate it in the market and work with marketing teams to develop go-to-market strategies and promotional plans.
• Define and track key performance metrics (KPIs) to measure product success and inform decision-making. Use data-driven insights to identify areas for improvement, optimize product performance, and drive business growth.

Principal Product Manager

Engineering Manager

• Design, implement, and optimize AI/ML models
• Translate business and product requirements into scalable AI solutions
• Lead end-to-end model development
• Mentor junior engineers
• Partner with product and engineering teams
• Stay current on emerging AI trends
• Collaborate with stakeholders to ensure ethical solutions

Engineering Manager – AI, Data Analytics

Salesforce Developer

• Develop scalable Salesforce solutions using Apex, Lightning Web Components (LWC), SOQL, and Flows.
• Collaborate with Product Management, QA, and internal stakeholders to understand business requirements and deliver thoughtful solutions.
• Contribute to the maintenance, improvement, and support of existing Salesforce-based applications and managed packages.
• Build and maintain integrations with third-party systems using REST/SOAP APIs.
• Participate in Agile ceremonies (sprint planning, reviews, stand-ups) and collaborate closely with peers on a remote team.
• Write clean, efficient, and testable code; contribute to code reviews and technical documentation.
• Support product releases through testing, deployment, and post-release monitoring.
• Ensure solutions comply with Salesforce governor limits, data model best practices, security and performance standards.

Salesforce Engineer II

Data Scientist

• Build Predictive Models: Design and implement machine learning models to predict donor behavior, giving capacity, and engagement propensity across all Kindsight products.
• Maximize the Value From Client and Third-Party Data: Evaluate the wide-range of data gathered from clients and current third-party vendors to identify new metrics and insights using existing data.
• Identify New Data Collection Opportunities: Identify additional data that could be collected within each product to develop stronger predictive models.
• Benchmarking: Design new metrics to benchmark client fundraising potential and performance.
• Partner with Head of AI: In close collaboration with our Head of AI, build agents and generative AI that leverages new predictive model results to fuel fundraising efforts.
• Architect & Mentor: Lead the design of scalable ML pipelines and mentor junior data scientist on best practices in statistical modeling and experimental design.

Data Scientist – Intermediate/Senior

Customer Success Manager

• Own a portfolio of clients, serving as the primary point of contact to ensure satisfaction, retention, product adoption, and revenue growth.
• Build and maintain strong, long-term, trusted client relationships, advocating for their success and coordinating with Client Support to resolve technical issues.
• Develop and execute account growth strategies to identify and secure upsell, cross-sell, and renewal opportunities aligned with client goals and business needs.
• Deliver recommendations, showcasing how additional products, services, or features can drive measurable ROI for the client.
• Proactively prospect within existing accounts to identify new business needs, product gaps, and expansion opportunities.
• Provide technical insights and leading practices to clients for optimizing Salesforce-native Kindsight products.
• Supports CRM clients with advancement ecosystem products, including Salesforce AppExchange and integrated solutions.
• Maintain accurate pipeline and forecasting through CRM tools, tracking all account activity and revenue opportunities.
• Translate client feedback into actionable requirements for Product Management.
• Keep clients informed of Salesforce and Kindsight product updates, new features, and technical best practices.
• Drive renewals and expansion opportunities by demonstrating the technical and business value of our solutions.