BetterUp

www.betterup.com

3 Jobs

2,775 Employees

About the Company

At BetterUp, we're bringing the power of human transformation to individuals and workforces everywhere. Our mission? To help people everywhere pursue their lives with greater clarity, purpose, and passion. The BetterUp experience brings together world-class coaching, AI technology, and behavioral science experts to deliver change at scale -- improving personal and organizational resilience, adaptability, well-being, and productivity. The results? Individual transformation meets organizational growth. Our proven effectiveness creates positive change for your business and your people. Using our proprietary algorithm and research, we create hyper-personalized experiences that motivate and inspire your people. Watch your organization transform with real-time data analytics and unparalleled human insights that create critical awareness into your workforce and demonstrate measurable results across 25 key leadership dimensions. Our platform is transformative. So is our employee experience. Here's what our employees say based on a survey issued by the Great Place to Work Institute: 90% say it's a great place to work. 97% willingly give extra to get the job done. 96% are proud of our community impact. 96% are proud to say they work at BetterUp. BetterUp is a FORTUNE Best Workplace in Tech, Best Workplace for Millennials, Best Workplace for Women and more. We've been featured on Inc.'s Best Workplaces list, the FORTUNE Impact 20, Inc. 5000, TechNational Top 100 Companies to Work For, Built In Best Places to Work, Kudos Best Culture Award, Digiday WorkLife50 List, PEOPLE Magazine Companies That Care, Military Friendly Employer List and Fast Company Best Workplaces for Innovators. Interested in joining our team? See open positions: https://www.betterup.com/about-us/careers

Listed Jobs

Company Name: BetterUp
Job Title: AI Automation Engineer
Job Description: **Job Title** AI Automation Engineer **Role Summary** Design, build, and scale AI‑enabled automation and integration solutions across a SaaS ecosystem. Implement the Model Context Protocol (MCP) for secure, composable workflows, develop reusable automation modules, and ensure robust security, identity, and governance controls. Collaborate with AI product, infrastructure, and business teams to deliver fast, reliable, and test‑driven automation that reduces manual effort and improves operational latency. **Expectations** - Deliver production‑grade automations with full test coverage and documentation. - Scale MCP services and secure API integrations across Slack, Jira, Salesforce, and internal systems. - Achieve measurable efficiency gains (e.g., 50 % reduction in manual data entry, 30 % faster onboarding). - Maintain compliance with security and data‑integrity standards in US and EU regions. - Participate actively in cross‑functional stand‑ups, architecture reviews, and AI working groups. **Key Responsibilities** - Engineer and expand MCP to support AI workflows and agentic systems. - Build and maintain scalable automations, APIs, and reusable modules for identity sync, bulk data imports, and AI‑to‑API orchestration. - Enforce role‑based access controls, SAML/SSO integrations, and audit‑ready change management. - Produce RFCs, technical requirement documents, and internal documentation aligning MCP features with enterprise use cases. - Advocate test‑driven development, code reusability, and open‑source best practices. **Required Skills** - 5+ years software engineering experience, strong proficiency in Ruby on Rails. - Hands‑on experience with automation/orchestration platforms (Workato, UiPath, Zapier, n8n, Prefect, or custom tools). - Experience building event‑driven pipelines (MCP, AWS Step Functions, or equivalents). - Proficient scripting in Python and/or JavaScript for custom connectors and data transformations. - Deep understanding of API design, secure integrations, SAML/SSO, and RBAC. - Strong problem‑solving, documentation, and communication skills; ability to work in fast‑moving, cross‑functional teams. **Required Education & Certifications** - Bachelor’s degree in Computer Science, Engineering, or related field, or equivalent professional experience. - Preferred: security or cloud certifications (e.g., CISSP, AWS Certified Solutions Architect, GCP Professional Cloud Architect) and automation platform certifications (e.g., UiPath Certified RPA Developer).

Company Name: BetterUp
Job Title: Enterprise Account Executive
Job Description: **Job Title:** Enterprise Account Executive **Role Summary:** Lead full-cycle sales of multi-product SaaS solutions to Fortune 500 organizations, driving revenue growth, securing high‑value contracts, and serving as a trusted advisor to C‑level stakeholders. **Expectations:** - Achieve or exceed assigned sales quotas and revenue targets. - Consistently rank within the top 10‑20% of the sales organization. - Secure multi‑month, multi‑buyer deals exceeding $1M. - Maintain a robust pipeline and adapt sales strategies in a fast‑paced, AI‑enabled environment. **Key Responsibilities:** 1. Prospect and generate business through networking, events, cold calling, email, and social media. 2. Execute a consultative selling process, diagnosing client challenges and tailoring solutions. 3. Build relationships and secure executive sponsorship across target accounts. 4. Deliver executive‑level presentations and ROI‑focused product demos. 5. Lead negotiations, pricing, and contract terms, coordinating with legal, finance, and implementation teams. 6. Mentor and collaborate with cross‑functional teams (marketing, customer success, product, execs) to align messaging and inform product road‑map. 7. Maintain accurate forecasting, pipeline reporting, and Salesforce data hygiene. 8. Travel up to 50% of time for client visits and events. **Required Skills:** - Minimum 5 years full‑cycle SaaS sales experience with Fortune 500 clientele. - Proven record of closing >$1M deals over 6+ months and ranking in top 10‑20%. - Experience selling to and partnering with CxOs. - Strong executive‑level communication, storytelling, and presentation capabilities. - High emotional intelligence, negotiation, and problem‑solving aptitude. - Proficiency in Salesforce; disciplined, process‑oriented, data‑driven. - Comfortable with outbound metrics, cold‑calling, and pipeline generation. - Adaptability in a startup‑like, AI‑forward sales environment. **Required Education & Certifications:** - Bachelor’s degree (preferred). - No mandatory industry certification; sales experience and achievements are primary.

Company Name: BetterUp
Job Title: Senior Site Reliability Engineer
Job Description: **Job title** Senior Site Reliability Engineer **Role Summary** Lead the design, deployment, and operation of cloud‑native infrastructure that powers BetterUp’s scalable platform. Drive reliability across production systems, build automated monitoring and incident response, and harness AI tools for proactive maintenance. Collaborate cross‑functionally to embed SRE practices early in the development cycle. **Expectations** - Deliver highly available, secure, and efficient production environments on AWS. - Automate infrastructure provisioning and configuration with Terraform, maintain version control and auditability. - Scale Kubernetes clusters to meet traffic demands while ensuring performance and resilience. - Implement advanced observability and alerting using Datadog, Prometheus, or OpenTelemetry. - Integrate AI‑powered log analysis, anomaly detection, and predictive maintenance to reduce MTTR. - Champion continuous improvement through data‑driven retrospectives and reliability metrics. **Key Responsibilities** 1. Build, version, and maintain AWS infrastructure with Terraform across multiple environments. 2. Deploy, scale, debug, and secure Kubernetes clusters, managing node pools, networking, and storage. 3. Design and implement intelligent alerting, tracing, and logging pipelines that surface actionable insights. 4. Automate incident response workflows; create self‑healing services and bot integrations. 5. Evaluate and prototype emerging AI/ML tools for monitoring, log analytics, and predictive alerts. 6. Partner with engineering, product, and security teams to embed reliability into code reviews, CI/CD pipelines, and release processes. 7. Conduct post‑incident analyses and produce reliability dashboards and reports for stakeholders. **Required Skills** - 4+ years in SRE, DevOps, or infrastructure engineering. - Deep experience with AWS services (EC2, EKS, RDS, Lambda, CloudFormation). - Proficient Terraform scripting and IaC best practices. - Hands‑on Kubernetes operations: deployment, scaling, troubleshooting, RBAC, network policies. - Strong observability skillset: Datadog, Prometheus, OpenTelemetry, LogQL, Grafana. - Debugging and troubleshooting distributed systems; root‑cause analysis. - Proficiency in scripting (Python, Bash, Go). - Comfortable communicating complex incidents to engineers, product managers, and executives. - Enthusiasm for AI tooling; experience using copilots, LLM assistants, or AI‑based monitoring solutions. - Builder mindset: proactively automate manual processes and propose tooling enhancements. **Required Education & Certifications** - Bachelor’s degree in Computer Science, Engineering, or related technical field, or equivalent work experience. - AWS certifications (e.g., AWS Certified Solutions Architect – Professional, AWS Certified DevOps Engineer – Professional) are highly desirable. ---