CGWS - COME GROW WITH US

Cloud Engineer

• Design, deploy, and manage cloud infrastructure solutions to support the company's applications and services.
• Collaborate with software developers and administrators to ensure seamless integration of cloud services into existing infrastructure.
• Implement and maintain cloud security measures, including access controls, encryption, and monitoring, to protect sensitive data and comply with industry regulations.
• Optimize cloud infrastructure performance and cost-effectiveness through continuous monitoring, tuning, and capacity planning.
• Automate repetitive tasks and streamline deployment processes using configuration management tools and Infrastructure as Code (IaC) practices.
• Troubleshoot and resolve infrastructure-related issues, ensuring minimal downtime and maximum uptime for critical services.
• Stay up-to-date with emerging cloud technologies and best practices, and evaluate their potential impact on the company's infrastructure strategy.

Analyst

• Assist sales in structuring quotes and guide on discount and contract terms.
• Manage the review and approval process for non-standard requests with their guardrails, ensuring adherence to internal policies.
• Partner with Sales, Finance, Legal, and Customer Success to ensure seamless communication and alignment on deals, and assessing financial implications of complex deals.
• Analyze data to identify trends in win/loss & competitive reporting and provide data driven recommendations.
• Help support leadership in recommending ways to streamline the end to end deal process to improve efficiency and deal cycles.

Senior Deal Desk Analyst

Product Marketing

• Drive go-to-market strategies aligned to business objectives that support revenue growth, adoption, retention, and pipeline health
• Conduct market, customer, and competitive analysis to uncover growth opportunities, risks, and differentiated messaging
• Define and refine our product’s messaging and positioning to drive awareness and demand for our products
• Analyze product performance, customer behavior, and funnel dynamics to diagnose growth levers and gaps (e.g., positioning, activation, packaging, or sales readiness), and partner cross-functionally to influence solutions
• Partner cross-functionally across Product, Sales, Marketing, CX, and Revenue to align priorities and deliver outcomes
• Develop powerful and persuasive sales narratives, pitches, and assets that enable teams to win in the market
• Generate internal momentum for new products and offerings, ensuring teams are aligned, prepared, and confident at launch
• Collaborate closely with Product Management to inform product strategy and roadmap decisions using market and customer insights
• Act as a subject matter expert and target audience authority as you support internal teams in achieving their KPIs and business goals

Senior Product Marketing Manager

Director

• Drive Services P&L Execution: Manage annual/quarterly planning, forecasting, pricing & packaging, and support investment cases for your organization.
• Execute the Growth Strategy: Execute the multi-year growth strategy for our core service lines, driving a high-growth P&L aligned with the core BambooHR product roadmap.
• Manage the Service Catalog: Manage and evolve the complete service catalog (packages, rate cards, SLAs, scoping guides) and support the commercialization motion with Sales, Marketing, and Finance.
• Develop Your Leadership Team: Build and develop a world-class team of managers and individual contributors capable of scaling implementation, advisory, and managed services.
• Compress Time-to-Value: Standardize and scale implementation playbooks to dramatically compress Time-to-First-Value (TTV) and Time-to-Go-Live (TTGL).
• Incubate & Scale Managed Services: Rapidly incubate, commercialize, and scale a full suite of managed services, developing the optimal pricing and packaging (e.g., retainers, PEPM subscriptions, hybrid models) for each service line.
• Be a Key Liaison: Establish senior sponsorship with strategic customers and act as a primary escalation point for complex, high-impact deliveries.
• Drive Customer Self-Sufficiency: Elevate customer enablement by expanding admin/manager education and change-management programs.
• Run a Metrics-Driven Business: Own the full operational rhythm, including capacity modeling, utilization, staffing mix (FTE/contractor/partner), backlog health, delivery quality, and (with Finance) DSO.
• Install Repeatable Mechanisms: Install the tools, processes, and QA for repeatable delivery (knowledge base, runbooks, dashboards, VOC loops) and drive a culture of continuous improvement.
• Guard Scope & Risk: Guard scope and manage risk with crisp SOW standards, rigorous intake processes, and clear delivery handoffs across all service lines.
• Align with G&A: Collaborate with Finance on unit economics, forecasting, and gross margin improvement; with Legal on compliance guardrails; and with Security on data privacy.
• Close the Product Loop: Create tight feedback loops with Product, Support, and Success so services insights directly shape the product roadmap and self-service content.
• Partner with Sales: Co-own the services attach strategy with Sales, enabling the field with clear packaging, scoping guides, and pricing discipline. Review and support strategic deals.
• Provide succinct, data-rich updates to executive leadership on performance, risks, and investment trade-offs.
• Publish quarterly business reviews covering revenue, GM, attach, TTV, CSAT/NPS, cohort retention/renewal, and roadmap feedback.

Senior Director, Outsourced Services

Data Engineer

• Collaborate with stakeholders to make effective use of core data assets
• Development and maintenance of data integrations written in Python
• Load both streaming and batched data in Spark with Pyspark and lakehouse libraries
• Engineer lakehouse models to support defined data patterns and use cases
• Build unit, integration, quality, and performance tests
• Participate in peer code reviews, code approvals, and pull requests
• Monitor, operate, and optimize data integrations, pipelines, and distributed applications
• Documentation of data pipelines, cloud infrastructure, and standard operating procedures
• Work within an IT managed AWS account and VPC to stand up and maintain data platform development, staging, and production environments
• Express data platform cloud infrastructure, services, and configuration as code
• Automate continuous upgrades and testing of data platform infrastructure and services
• Help ensure appropriate data privacy and security
• Identify, recommend, and implement opportunities for improvement in efficiency, resilience, scale, security, and performance

Senior Data Engineer

SDET

• Design and run performance, load, stress, and endurance tests that reflect real customer usage
• Identify performance bottlenecks across applications, APIs, databases, and infrastructure
• Partner with Software Engineers, QE, and DevOps to troubleshoot issues and improve system performance
• Help define performance benchmarks and success criteria
• Analyze test results and clearly communicate findings and recommendations
• Automate performance tests and integrate them into our CI/CD pipelines
• Monitor application performance trends and help prevent issues before they impact customers
• Continuously improve our performance testing tools, frameworks, and practices

Performance Test Engineer II

Business Intelligence Developer

• Design, develop, and maintain certified, analytics-ready data models and BI assets, partnering with one or more assigned data domains across BambooHR.
• Build and support interactive dashboards, reports, and data visualizations using BI tools ensuring insights are accessible and actionable for business partners.
• Analyze complex datasets to uncover trends, patterns, and insights that inform operational and strategic decision-making.
• Partner closely with stakeholders across Product, Technology, Customer Success, Finance, Marketing, and Sales to understand reporting needs and translate them into effective BI solutions.
• Elicit, document, and refine clear business requirements, translating business questions into well-scoped technical specifications and analytical deliverables.
• Contribute to data quality, governance, and certification efforts to ensure BI assets are accurate, consistent, and trusted across the organization.
• Leverage emerging AI-enabled features within BI and analytics tools to improve efficiency, scalability, and insight generation where appropriate.
• Maintain a strong understanding of BI tools, data modeling practices, and analytics trends, continuously improving technical and analytical skill sets.

Business Intelligence Engineer, Data Analyst

Engineering Manager

• Recruits, interviews, hires, and develops engineers, senior engineers, and staff-level engineers.
• Oversees the daily workflow, delivery cadence, and execution practices of the team.
• Provides structured, actionable feedback; performs timely and growth-oriented evaluations.
• Handles coaching, performance concerns, and disciplinary processes in partnership with HR.
• Manages up to two scrum teams or 12–18 engineers across backend and frontend disciplines.
• Lead the engineering team responsible for BambooHR’s Platform APIs, including API Gateway integration, API standards implementation, authentication upgrades, and developer enablement.
• Drive architectural alignment across multiple teams by partnering with Principal Engineers, Architects, and Product leaders.
• Elevate engineering quality through strong practices around versioning, schema evolution, authorization, observability, and platform health.
• Manage delivery of multi-team API features and platform rollouts with predictable execution and proactive risk mitigation.
• Build strong partnerships with Product, Program Management, Design, Data Engineering, and Agent Platform teams to ensure all stakeholders share context and direction.
• Support engineers’ growth through coaching, role clarity, technical leadership development, and performance accountability.
• Establish a culture of ownership, psychological safety, continuous improvement, and outcome-driven engineering.

Senior Engineering Manager – Platform APIs

Backend Engineer

• Architect robust, scalable, and ethical AI/ML systems and platforms, ensuring data governance, model lifecycle management, and responsible AI principles (e.g., fairness, transparency, accountability, and privacy) are embedded from design to deployment.
• Lead architecture modernization initiatives that deliver robust, secure, and scalable systems, including the integration of emerging technologies.
• Make architectural decisions that balance short-term project goals with the overarching architecture vision and strategy, enabling effective engineering execution.
• Oversee the design, implementation and integration of new technologies, including AI-driven solutions, into existing data structures and systems that support application development and business intelligence/analytics.
• Establish and enforce architectural standards, policies, and best practices.
• Sponsor growth of a team of high-performing architects, cultivating innovation, continual improvement, and goal achievement through collaboration.
• Collaborate with the VP of Engineering, engineering teams, operations, and product management to sustain alignment between architecture, technical solutions, and business requirements.
• Ensure architecture design is compliant with industry standards and regulations related to data privacy and security.

Chief Architect

• Write code for back end processes, RESTful public web APIs, and, of course, our industry-leading website.
• Research technologies and engineer complete solutions to problems.
• Propose and implement performance optimizations and scaling strategies.
• Work with the rest of the team to integrate your projects into the application.
• Contribute to the ongoing improvement of our systems and processes.

Software Engineer 2, Backend

Business Development Rep

• Initiate contact with new leads without needing external prompts as a proactive BDR.
• Maintain a high volume of cold calls each day, viewing rejection as a learning opportunity.
• Build strong relationships with prospects, prioritizing meaningful connections over quick sales.
• Collaborate with team members, sharing successful strategies and supporting team goals.
• Work closely with Account Executives and Marketing to shape your territory planning and account strategy as a BDR.
• Adapt to changes in team dynamics, leadership, or roles while maintaining productivity.

Business Development Representative

• Lead a division of our product's software engineering team with a specialization in add-on applications. Oversee multiple teams and manage engineering managers reporting directly to you.
• Demonstrate leadership and patience through regular coaching and mentoring in individual and team settings. You’ll need to love coaching and mentoring Leaders.
• Consult with leaders across Product Development (Product Design, Product Management, QA, and IT) to help your managers and tech leads explore and deliver software solutions.
• Continually embrace accountability in team and individual performance (yours and others) in sprint goals and quarterly Objectives and Key Results (OKRs).
• Embrace and lead out in AI engineering practices, including how to build with AI and how to build AI into our products.
• Work closely with architects and platform teams to understand technical/architectural hurdles in your team's scope and prioritize solutions and direction.
• Participate in Engineering department’s hiring efforts.
• Contribute to ongoing improvements in our systems and processes.
• Be a great value addition and advocate for our company values.
• Come to work, do great things, then go home!

Director of Software Engineering – Applications

• Lead a division of our product's software engineering team with a specialization in the Payroll Services domain. Oversee multiple teams and manage engineering managers reporting directly to you
• Demonstrate leadership and patience through regular coaching and mentoring in individual and team settings. You’ll need to love coaching and mentoring Leaders.
• Consult with leaders across Product Development (Product Design, Product Management, QA, and IT) to help your managers and tech leads explore and deliver software solutions.
• Continually embrace accountability in team and individual performance (yours and others) in sprint goals and quarterly Objectives and Key Results (OKRs).
• Embrace and lead out in AI engineering practices, including how to build with AI and how to build AI into our products.
• Work closely with architects and platform teams to understand technical/architectural hurdles in your team's scope and prioritize solutions and direction.
• Participate in Engineering department’s hiring efforts.
• Contribute to the ongoing improvement of our systems and processes.
• Be a great value addition and advocate for our company values.
• Come to work, do great things, then go home!

Director of Software Engineering – Payroll Services

Product Designer

• Assist in defining, testing, and iterating on the interaction design of new and existing features, including user flows, wireframes, and prototypes.
• Participate in user research activities, such as contextual inquiries and usability testing, to inform design decisions.
• Collaborate with senior designers to ensure all product aspects are intuitive and engaging.
• Contribute to the creation of high-resolution screen mockups that adhere to our UI design standards.
• Work with development teams to ensure designs are implemented accurately and effectively.
• Work in harmony with team core hours: 9AM-5PM MST, Monday-Friday (Tuesday and Thursday in office)

Associate Product Designer

Security Engineer

• Lead the design and evolution of security architecture across cloud infrastructure, SaaS platforms, and corporate information systems, ensuring solutions are secure-by-design, scalable, and operationally sustainable.
• Own and maintain security architecture standards, reference architectures, and secure design patterns spanning identity and access management, data protection, logging/telemetry, endpoint security, and third-party integrations.
• Conduct and lead security architecture reviews for new systems, material changes, vendor tools, and integrations; document decisions, required control outcomes, and implementation guidance that teams can execute.
• Drive threat modeling and architectural risk assessments for strategic initiatives; translate findings into prioritized remediation plans and architecture improvements that balance risk reduction with usability and delivery velocity.
• Define and validate cloud security control expectations, including IAM, network segmentation, encryption and key management, secrets management, centralized logging, and least-privilege access models; validate adoption through partnership with engineering and IT.
• Influence detection and response architecture in collaboration with SecOps to improve visibility, telemetry quality, and response effectiveness; support investigations by providing architectural context and remediation guidance as needed.
• Partner with Security Engineering, Application Security, Security Operations, and GRC to ensure security controls are consistently designed and implemented across prevention, detection, response, and governance/audit domains (e.g., SOC 2, ISO 27001, and customer requirements).
• Create clear and accessible architecture documentation (standards, diagrams, patterns, decision records) and communicate security tradeoffs effectively to both technical and non-technical stakeholders.
• Mentor and guide security practitioners and cross-functional partners by improving shared understanding, raising architectural maturity, and promoting consistent adoption of security patterns and secure-by-default approaches.
• Demonstrate an AI-forward mindset and proficiency by actively using AI tools to improve productivity, quality, and decision-making in security architecture and engineering workflows, and be able to speak to real-world examples of using AI to conduct work and to design and implement practical, secure solutions (e.g., accelerating architecture documentation, threat modeling, control validation, detection logic development, policy/standard drafting, or automating analysis).