Smartsheet

Revenue Operations

• Lead and grow Smartsheet's India-based analytics team in Bangalore
• Directly manage 5 Senior Revenue Operations Analysts and 1 Data Engineer, providing guidance, coaching, and operational support
• Set priorities, ensure high-quality and timely outputs, and own performance management including merit reviews and calibrations
• Support career growth through 1:1s, skill-gap identification, mentorship, and development opportunities
• Partner with HR on recruiting, onboarding, and workforce planning
• Serve as the primary analytics business partner for Global Sales and GTM leaders
• Lead execution across pipeline health, retention, sales productivity, territory performance, services utilization, and commission planning
• Create, evolve, and maintain Sales reporting infrastructure
• Mine large datasets to surface insights and monitor anomalies and data quality issues
• Partner with Bangalore BI and Data Engineering teams to build scalable analytics solutions and ensure data pipelines meet team needs
• Present findings to technical and non-technical stakeholders, including senior GTM leadership
• Translate functional plans into operational processes and manage work intake, project tracking, stakeholder updates, and milestone reviews
• Recommend and implement process improvements to increase team throughput and analytical quality
• Maintain overlap with North America Pacific Time leadership
• Build relationships between Revenue Operations Analytics and the broader data platform organization

Manager, Revenue Operations Analytics

Technical Customer Success

• Manage and mentor multiple globally distributed technical support teams
• Manage day-to-day team operations and collaborate with Support leaders to meet targets
• Coach and develop team members as product experts
• Provide enterprise-level, post-sales technical support to Smartsheet customers
• Set objectives, provide feedback, evaluate progress, and foster a high-performance culture
• Own performance and customer outcomes through SLAs and KPIs
• Manage case volume, reduce backlog, and improve Support experiences
• Analyze KPI metrics and customer feedback to identify trends and recommend efficiency improvements
• Execute strategic goals set by Support Leadership
• Perform regular case reviews and quality assessments
• Participate in release readiness and evaluate new features and changes
• Promote inclusivity, engagement, and development opportunities
• Recruit according to business needs with recruitment partners
• Partner with Training on onboarding and assessment objectives and programs
• Promote continuous improvement through recognition and feedback
• Partner across Global Support and other stakeholders on initiatives and collaboration
• Report to a Senior Support Manager within the Global Support team
• Perform other duties as assigned

Senior Manager, Technical Support – Hybrid

Full-stack Engineer

• Design and build full-stack features across front-end, back-end, data modeling, infrastructure, and test automation
• Own large, ambiguous projects end-to-end from idea to GA, including planning, design, execution, shipping, and operational excellence
• Lead high-performance front-end challenges involving virtualized views rendering hundreds of thousands of rows
• Design complex back-end and distributed systems, APIs, and data pipelines for real-time collaboration, large datasets, and high-concurrency workloads
• Identify and fix team-wide operational and developer-experience problems by building tooling and infrastructure
• Use AI coding tools such as Claude across the software development lifecycle
• Lead design and code reviews and mentor engineers through complex projects
• Partner with product and design from concept through launch
• Own reliable, observable code, production monitoring, and iteration based on usage and feedback
• Navigate competing priorities and dependencies across product, design, data, and customer success

Software Engineer II

Solutions Engineer

• Design and build scalable backend services for Smartsheet’s next-generation applications
• Solve complex distributed systems challenges with product management and stakeholders
• Build and maintain core infrastructure supporting reliability, stability, and performance
• Manage and upgrade large-scale database infrastructure and complex replication topologies
• Automate core operations using AWS, Golang, MySQL, Terraform, Temporal, and GitLab-CI
• Collaborate through mob programming, code reviews, and architectural discussions
• Practice Test-Driven Development and participate in book clubs and retrospectives
• Use AI tools across coding, testing, design, and troubleshooting, and coach others on effective AI use
• Participate in a gradually ramped operational on-call rotation

Senior Software Engineer – Solution Lifecycle

• Design and build scalable back-end services for Smartsheet's next-generation applications
• Solve complex distributed systems challenges with product management and key stakeholders
• Build, maintain, and scale Smartsheet's core infrastructure for reliability, stability, and performance
• Manage and upgrade large-scale database infrastructure and complex replication topologies
• Automate core operations using AWS, Golang, MySQL, Terraform, Temporal, and GitLab-CI
• Collaborate through mob programming, collective code ownership, code reviews, and architectural discussions
• Use Test-Driven Development to build resilient foundational systems
• Participate in team book clubs and psychologically safe retrospectives
• Use AI tools across coding, testing, design, and troubleshooting; explore integrations and coach others
• Participate in a gradually ramped operational on-call rotation

Senior Software Engineer II – Solution Lifecycle

Product Manager

• Lead, coach, and develop Product Managers across Financial Systems, People Systems, Sales & Entitlements, Billing & Monetization, Enterprise Systems Data, and AI & Automation
• Define and evolve the Corporate Systems product-management operating model
• Establish a cohesive portfolio strategy aligned with company objectives
• Partner with Engineering leadership on product and technical strategy, investments, reliability, scalability, security, technical debt, and sustainability
• Drive portfolio-level prioritization and investment decisions
• Identify and manage dependencies across business domains and systems
• Coach Product Managers on customers, business processes, systems, data flows, and technical constraints
• Raise the technical and systems fluency of the Product Management organization
• Ensure strategies and roadmaps are grounded in measurable customer and business outcomes
• Create clarity across ambiguous, cross-functional initiatives
• Translate senior business priorities into technology capabilities and investment plans
• Lead product thinking for pricing and monetization, enterprise AI, ERP and billing modernization, data governance, and automation transformations
• Establish portfolio planning, roadmap review, product health review, dependency management, and executive communication mechanisms
• Champion data-informed product management and outcome measurement
• Improve collaboration between Product and Engineering from discovery through continuous improvement
• Communicate strategy, investments, progress, risks, dependencies, and tradeoffs to senior leadership
• Build relationships across Product Engineering, Finance, People & Culture, Sales/GTM, Data, Security, and other functions
• Support hiring, onboarding, performance management, career development, and capability building

Group Product Manager – Corporate Systems

Financial Planning and Analysis

• Own the technical strategy and long-term architecture for Smartsheet’s financial systems ecosystem across ERP, procurement, financial planning, payments, billing, tax, revenue processes, integrations, data, automation, and AI
• Lead, coach, and develop the Financial Systems Engineering organization
• Serve as senior technology leader for NetSuite and ERP
• Provide technology leadership for ERP reimplementation and modernization programs
• Translate product strategy and business priorities into technical roadmaps, architecture, investment decisions, and engineering plans
• Shape architecture for subscription, multi-year, usage-based, consumption-based, and AI-related pricing and billing models
• Establish system-of-record boundaries across CRM, product, billing, ERP, payments, tax, planning, and data platforms
• Define Finance systems data strategy, including data models, contracts, quality, lineage, reconciliation, and historical integrity
• Partner with Data Engineering and Analytics to integrate Financial Systems with the enterprise data lake
• Improve data quality and observability across Quote-to-Cash and Finance workflows
• Establish an AI strategy and evaluate AI-assisted and agentic capabilities for Financial Systems Engineering
• Develop automated testing and quality engineering across the Finance technology stack
• Establish modern engineering practices including source control, peer review, CI/CD, environment management, testing, observability, documentation, release engineering, and operational readiness
• Determine appropriate boundaries between SaaS configuration, extensibility, APIs, integrations, automation, and custom software
• Partner with Integration Engineering on scalable, observable, resilient Finance and Quote-to-Cash integrations
• Own technical health and lifecycle of the Financial Systems portfolio
• Establish architecture reviews, technical standards, engineering metrics, and platform health reviews
• Represent Financial Systems Engineering in executive steering committees, governance forums, and program reviews
• Provide technical leadership across implementation partners and strategic vendors
• Partner with Finance, Accounting, FP&A, Procurement, Tax, Revenue, Product Engineering, Sales/GTM, Data, Security, AI & Automation, and Corporate Systems
• Balance transformation delivery with reliability, technical debt reduction, modernization, security, controls, and long-term investments
• Recruit, develop, and retain engineering talent

Director, Finance Systems – ERP

Machine Learning Engineer

• Design, develop, and maintain stable and reliable AI/ML Ops platforms and pipelines
• Package and deploy AI/ML services to production, ensuring reproducibility and interpretability
• Design and implement automated CI/CD pipelines to accelerate model deployment
• Provision and optimize infrastructure for model training and serving using Docker, Kubernetes, or serverless platforms
• Implement post-deployment monitoring for model performance, data drift, and latency
• Automate retraining and data pipeline workflows
• Manage deployment of foundation models, fine-tuning workflows, and Retrieval-Augmented Generation stacks, including vector databases and knowledge graphs
• Optimize GPU/CPU utilization to minimize cloud costs while maintaining low-latency inference
• Collaborate with data scientists, data engineers, and software engineers to connect model development with production
• Manage versioning for data, code, and models using tools such as MLflow
• Implement data security measures and ensure compliance with data governance policies
• Evaluate emerging data technologies and identify infrastructure innovation opportunities
• Diagnose and resolve complex data-related issues
• Perform other duties as assigned

AI ML Ops Software Engineer

• Architect and build an observability platform for metrics, logs, distributed traces, and events across multiple regions and environments
• Own components from telemetry collection through storage, query, and presentation
• Run observability as an internal product with published interfaces, versioned client libraries, deprecation paths, and platform SLOs
• Build and maintain OpenTelemetry instrumentation libraries, collector deployments, semantic conventions, context propagation, and sampling strategies
• Engineer high-volume collection, enrichment, redaction, routing, reliability, backpressure handling, and tiered-retention pipelines
• Integrate observability tooling with CI/CD, service catalog, incident management, ticketing, chat, and feature-flag systems
• Design event-driven and agent-assisted self-healing remediation workflows with human-in-the-loop approval gates
• Implement SLOs, error budgets, golden-signal alerting as code, and alert-noise reduction
• Own the golden path for service instrumentation, including scaffolding, templates, Terraform modules, and CI checks
• Track platform adoption, onboarding time, dashboard time-to-value, query performance, and cost per service
• Build documentation, reference architectures, worked examples, onboarding paths, workshops, office hours, and game days
• Lead code reviews and architecture discussions, author instrumentation standards, mentor engineers, and grow instrumentation champions
• Apply AI tooling to coding, testing, design, troubleshooting, and observability for AI and agentic systems
• Join the on-call rotation, drive root-cause analysis, and turn incidents into durable improvements
• Report to the Team Lead, Observability Engineering, and partner with the Principal Engineer on telemetry platform direction

Senior Software Engineer, Observability Platform

Operations

• Support sales teams throughout the complete cycle, utilizing data audits to ensure compliance with Smartsheet’s policy and customer needs.
• Work within Salesforce.com and CPQ to assist sales and identify or report system bottlenecks and data integrity issues.
• Manage the daily approval process with focus on SLA adherence and Turnaround Time metrics.
• Customize order forms and guide complex deals while balancing commercial flexibility with financial risk.
• Partner with Finance, Legal, and Professional Services to resolve transaction hurdles and reconcile deal-related data.
• Identify trends in the Quote-to-Cash cycle and implement process improvements to accelerate revenue recognition and sales efficiency.
• Adapt to changing business rules and organizational shifts; document and train others on new workflows.
• Collaborate with Order Operations team members to address requests.
• Perform other duties as assigned.

Order Operations Specialist

People Operations

• Partner with Product & Tech leadership to support workforce planning and organizational needs, ensuring alignment to business objectives and priorities
• Support development and implementation of engineering-aligned talent management frameworks, including performance management, retention strategies, and development programs
• Coach engineering managers on career development and management best practices
• Collaborate with Employee Relations on performance feedback and employee relations matters
• Collaborate with cross-functional Centers of Excellence to design and implement engineering-aligned talent systems and programs
• Support organizational design and workforce planning initiatives that improve team effectiveness, clarify roles, and support engineering productivity
• Advise Product & Tech leadership on organizational effectiveness, talent optimization, compensation alignment, and talent initiatives
• Monitor engineering-team organizational health metrics, identify trends and opportunities, and help leadership translate insights into action
• Support People & Culture initiatives and special projects as business needs evolve

People Business Partner – Product & Tech

Producer

• Drive engagement on Smartsheet’s online web properties by executing content strategies and collaborating with stakeholders to create and publish web pages
• Support ongoing web updates and larger web projects
• Coordinate and manage optimization efforts for the Digital Experience Optimization (DXO) program from concept to launch
• Coordinate Optimizely A/B testing and personalization experiments
• Own publishing of web pages through the Drupal CMS
• Work with the Marketing Analytics lead to pull data and build Analytics Reports
• Report on website user metrics, traffic, and bounce rate to measure and guide web efforts
• Report to the Senior Digital Experience Manager

Web Producer

Director

• Own pipeline generation targets and outcomes across all segments
• Set strategic direction on market segments, intent signals, and system optimization tradeoffs
• Run weekly performance reviews covering fit, persona alignment, cadences, and meeting efficacy
• Partner with the Global VP of Sales Development to design and launch organization-wide SDR initiatives
• Optimize inbound and intent systems, including chat strategy, lead routing, intent data, and automated cadences
• Equip regional and segment leaders with enablement content and lead scoring models
• Chair cross-functional governance to prioritize tests and eliminate low-ROI channels
• Oversee AI tool training and calibration for manager and rep needs
• Operationalize top SDR strategies into playbooks for Account Executives to self-source pipeline
• Align with Revenue Operations, Demand Generation, Product Marketing, Enablement, Sales, and Marketing
• Report to the VP, Global Sales Development

Senior Director, Pipeline Strategy

AI Engineer

• Own the target-state architecture for Smartsheet's AI platform, integrating Data, Agents, Knowledge Graph, and Context Graph
• Set the architecture for the agent harness and sub-agent framework, including orchestration, lifecycle, hand-off contracts, Evals, and capability-tier classification
• Design and own schemas/ontologies, ingestion and freshness pipelines, and retrieval and grounding patterns
• Build and maintain a reusable reference agent framework for orchestration, tracing, and deployment
• Author and publish a shared skills and tools library with interface contracts and versioning
• Build prototypes to de-risk architecture decisions and define criteria for promoting prototypes into supported capabilities
• Define deployment, security, governance, and prototype-to-production patterns
• Serve as primary technical lead for strategic technology partners including Databricks, AWS, and Anthropic
• Partner with Principal Engineers and team leads to align platform milestones through architecture authority and prototypes
• Support Forward Deployed Engineering and review MCP/external parity gate criteria
• Drive architecture decisions to closure and keep the escalation backlog near zero

Principal AI Engineer

Systems Engineer

• Own the technical strategy and long-term architecture for the People technology ecosystem across Workday, Docebo, Greenhouse, integrations, employee data, automation, AI, and emerging capabilities
• Lead, coach, and develop the People Systems Engineering team
• Serve as technical leader for Workday and ensure it remains well architected, maintainable, secure, scalable, and appropriately leveraged
• Partner with the Product Manager for People Systems to translate employee and business problems into product and technical strategies and roadmaps
• Evaluate the People technology landscape and simplify, consolidate, redesign, automate, or eliminate processes
• Define architectural boundaries across People platforms, APIs, integrations, custom applications, automation, and AI
• Develop the technical strategy for People data, including sources, models, boundaries, contracts, quality, lineage, access, and lifecycle management
• Drive an API-first and event-driven People Systems ecosystem
• Define AI and agentification strategy for employee technology
• Establish automation across recruiting, onboarding, employee changes, compensation, learning, talent, and offboarding
• Introduce software engineering practices including source control, peer review, CI/CD, environment management, observability, reusable components, documentation, and disciplined releases
• Establish automated testing strategy and improve observability across workflows, integrations, scheduled processes, and data flows
• Define engineering standards for Workday configuration and extensibility
• Own technical health, architectural debt, fragile integrations, customization, obsolete processes, and operational issues
• Partner with Integration Engineering, AI & Automation, Data, Identity, Security, and other engineering teams
• Evaluate emerging technologies and guide experimentation toward production
• Balance roadmap delivery with modernization, reliability, security, sustainability, and technical debt reduction
• Establish architecture reviews, technical standards, and engineering metrics
• Communicate technical strategy, architecture decisions, investment needs, risks, and tradeoffs to stakeholders and senior leadership
• Recruit, onboard, mentor, and develop engineers