You independently lead the most complex AI deployments Smartsheet undertakes. You own the full engagement lifecycle from technical discovery through production deployment through solutions org handoff. You architect multi-agent solutions, design client-personalized MCP resource packs, and build the Deployment Kits that transform how 200+ solutions consultants and partners operate. You mentor junior FDEs, drive the intelligence loop, and present field findings at weekly Applied AI strategy sessions. You are building a function, not filling a role.

What You Will Do

• Lead complex, multi-system AI deployments end-to-end scope, architect, build, validate, and manage the customer relationship throughout.
• Own the AI workshop program for your pod, customize modules per customer, lead technical sessions, translate outputs into production requirements, evolve content from field learning.
• Architect multi-agent solutions selecting the right coordination pattern for each customer’s workflow characteristics and compliance requirements.
• Design client-specific and industry-specific MCP resource packs that serve personalized intelligence from the server so every connected AI surface gets smarter for that customer automatically.
• Own Deployment Kit quality for your pod. If a kit is not documented well enough for a solutions consultant with no engineering background to follow, it isn’t done.
• Lead Solutions Enablement Sprints: transfer AI deployment patterns to solutions consultants and partners with training materials and certification criteria.
• Drive the intelligence loop: author strategic memos, present field findings weekly, contribute Agent Bricks and Skills, file RFCs for platform improvements.
• Mentor junior FDEs on customer engagements, code reviews, and Deployment Kit quality.

Required

• 6–10+ years production software engineering, including 3+ years deploying AI/ML to production. Deep Python; strong TypeScript/JavaScript.
• Proven track record leading complex enterprise technical engagements. You’ve managed customer relationships, navigated security reviews, and delivered production systems organisations depend on.
• Deep production LLM experience: multi-agent orchestration, MCP/tool-use, RAG optimisation, evaluation frameworks, agent deployment at scale.
• System architecture expertise spanning enterprise systems, cloud infrastructure, and AI services explainable to a CIO and a junior engineer.
• Demonstrated ability to create reusable technical assets that others use in production. You think in platforms, not projects.
• Strong written and verbal communication. Architecture documents, runbooks, strategic memos, training materials. Your Deployment Kits are your portfolio.
• You leave teams better than you found them. You make sure the people you work with understand what was built, why it works, and how to own it without you.
• Ability to travel.  This role requires domestic and international travel approximately 25–50% of the time.
• Elligible to work in the UK on an ongoing basis
• BS or MS in Computer Science, a related field, or equivalent industry experience

Nice to Have: 

• Experience founding or scaling an FDE/solutions engineering function. 
• Technical founder background. Databricks, AWS Bedrock, or Temporal experience. 
• Deep domain knowledge in healthcare, financial services, or government. Agent framework contributions (Strands SDK, LangChain, open-source MCP servers).
• Proficiency in German/French language will be an added advantage
• Familiarity of AI governance, ethics, and regulatory requirements (e.g. GDPR, UK/EU AI Act) 

You independently lead the most complex AI deployments Smartsheet undertakes. You own the full engagement lifecycle from technical discovery through production deployment through solutions org handoff. You architect multi-agent solutions, design client-personalized MCP resource packs, and build the Deployment Kits that transform how 200+ solutions consultants and partners operate. You mentor junior FDEs, drive the intelligence loop, and present field findings at weekly Applied AI strategy sessions. You are building a function, not filling a role.

What You Will Do

• Lead complex, multi-system AI deployments end-to-end scope, architect, build, validate, and manage the customer relationship throughout.
• Own the AI workshop program for your pod, customize modules per customer, lead technical sessions, translate outputs into production requirements, evolve content from field learning.
• Architect multi-agent solutions selecting the right coordination pattern for each customer’s workflow characteristics and compliance requirements.
• Design client-specific and industry-specific MCP resource packs that serve personalized intelligence from the server so every connected AI surface gets smarter for that customer automatically.
• Own Deployment Kit quality for your pod. If a kit is not documented well enough for a solutions consultant with no engineering background to follow, it isn’t done.
• Lead Solutions Enablement Sprints: transfer AI deployment patterns to solutions consultants and partners with training materials and certification criteria.
• Drive the intelligence loop: author strategic memos, present field findings weekly, contribute Agent Bricks and Skills, file RFCs for platform improvements.
• Mentor junior FDEs on customer engagements, code reviews, and Deployment Kit quality.

Required

• 6–10+ years production software engineering, including 3+ years deploying AI/ML to production. Deep Python; strong TypeScript/JavaScript.
• Proven track record leading complex enterprise technical engagements. You’ve managed customer relationships, navigated security reviews, and delivered production systems organisations depend on.
• Deep production LLM experience: multi-agent orchestration, MCP/tool-use, RAG optimisation, evaluation frameworks, agent deployment at scale.
• System architecture expertise spanning enterprise systems, cloud infrastructure, and AI services explainable to a CIO and a junior engineer.
• Demonstrated ability to create reusable technical assets that others use in production. You think in platforms, not projects.
• Strong written and verbal communication. Architecture documents, runbooks, strategic memos, training materials. Your Deployment Kits are your portfolio.
• You leave teams better than you found them. You make sure the people you work with understand what was built, why it works, and how to own it without you.
• Ability to travel.  This role requires domestic and international travel approximately 25–50% of the time.
• Elligible to work in Germany on an ongoing basis
• Fluency in English is required
• BS or MS in Computer Science, a related field, or equivalent industry experience

Nice to Have: 

• Experience founding or scaling an FDE/solutions engineering function. 
• Technical founder background. Databricks, AWS Bedrock, or Temporal experience. 
• Deep domain knowledge in healthcare, financial services, or government. Agent framework contributions (Strands SDK, LangChain, open-source MCP servers).
• Proficiency in German/French language will be an added advantage
• Familiarity of AI governance, ethics, and regulatory requirements (e.g. GDPR, UK/EU AI Act) 

Smartsheet's Grid Platform is the engine behind intelligent work management for millions of users worldwide. As Director of Engineering for Views Platform and Reporting, you will own that engine: the Grid Service, Reports Engine, Dynamic Views, and Grid Orchestration layer that power the entire product, plus the reporting surfaces and views that millions of customers interact with every day.

Enterprise growth is core to Smartsheet's strategic imperatives, and this role helps shape and drive how that vision comes to life. The services in this pillar's remit span critical platform infrastructure and the business-critical end-user features at the center of enterprise customers' most pressing project and portfolio management challenges: as critical a combination as exists in the product. A successful leader here brings deep technical credibility, a proven ability to translate between platform requirements and business outcomes, and a track record of driving results through an org of 30–50 engineers, managers, and principal engineers.

Few engineering leadership roles offer this combination: foundational platform ownership with direct visibility into the product experience it enables. 

You will report to the Senior Director of Engineering and can be based in our Bellevue, WA office or work remotely from anywhere in the US where Smartsheet is a registered employer.

You Will:

• Own the engineering vision, charter, and goals for the Views Platform and Reporting pillar, partnering with your product counterpart to co-drive roadmap priorities across the Grid Service, Reports Engine, Dynamic Views, Grid Orchestration layer, and user-facing reporting surfaces.
• Lead 3-4 teams through a layer of Engineering Managers and Principal Engineers, holding them accountable for delivery, reliability, and team health while actively developing them as leaders.
• Drive architectural evolution of the core platform, balancing five-nines availability commitments against the scalability investments required to power Smartsheet's enterprise growth trajectory.
• Own the full reporting stack: both the backend infrastructure and the front-end reporting views and surfaces that enterprise customers depend on for project and portfolio management.
• Define and track engineering and business outcomes for the pillar, including SLO/SLA targets and production reliability signals. Identify systematic production challenges and build pillar-level mechanisms to address them before they become customer issues.
• Initiate and guide cross-team technical efforts spanning multiple upstream dependents and internal consumers, resolving architectural conflicts and making bold decisions that position the platform for future scale.
• Set and maintain a high bar across code quality, test coverage, performance, security, and operational excellence, and build the mechanisms to sustain it at the pillar level.
• Think strategically about customer outcomes, guiding managers and principal engineers to address existing gaps and anticipate future enterprise needs. Represent the pillar in customer conversations as a technical advisor.
• Communicate platform complexity clearly across a wide range of audiences, from your engineering org to executive leadership. Produce clear written artifacts for strategic vision, long-term plans, and pillar reviews that align teams and inform decisions.
• Drive AI adoption across the pillar, holding leaders accountable for AI productivity, enabling AI-first design decisions, and ensuring alignment with cross-product AI strategy.
• Lead strategic hiring planning for the pillar, model a high bar for talent, and build an inclusive culture that develops and retains strong engineering managers and principal engineers.

You Have:

• 11+ years of software engineering and system architecture experience, with meaningful depth in distributed systems and high-availability platform infrastructure.
• 5+ years in engineering leadership with a track record of leading through multiple layers of management across a complex technical and product charter: owning both platform infrastructure and user-facing product surfaces simultaneously.
• A track record of owning and operating tier 0 or mission-critical services at five-nines availability, and the hands-on technical credibility with engineers that comes from understanding the work deeply.
• Demonstrated ability to translate between technical complexity and business outcomes, making infrastructure decisions legible to executives and product strategy legible to engineers.
• A track record of customer empathy in practice: using customer context to prioritize platform investments and user-facing roadmaps in ways that drive measurable business outcomes.
• Experience leading full-stack engineering organizations, with depth on the backend and enough front-end fluency to hold a high bar across the whole stack.
• Hands-on experience designing or evolving distributed architectures under scale constraints, including caching strategies, data consistency tradeoffs, and performance optimization at volume.
• Experience building and scaling cloud-native services on AWS, with proficiency in observability tooling, alerting, and SLO/SLA management at scale.
• Experience leading cross-functional technical programs with significant ambiguity and cross-team dependencies; you deliver results under tough circumstances.
• Strong CS fundamentals: data structures, algorithms, distributed systems, object-oriented design, and familiarity with Agile/Scrum and DevOps/CI/CD practices.
• Clear, proactive communication (written and verbal)  with technical and non-technical audiences, including executive leadership.
• A BS or MS in Computer Science, Engineering, or a related field, or equivalent practical experience.
• Legally eligible to work in the U.S. on an ongoing basis.

Corporate Systems Engineering builds and operates the software platforms, integrations, and automations that power Smartsheet’s core business functions across Finance, Sales/GTM, and People & Culture.  Our team owns mission-critical systems and workflows that enable how the company hires, sells, bills, pays, reports, and scales. We operate at the intersection of software engineering, enterprise platforms, and business-critical data, treating internal systems with the same rigor, reliability, and product mindset as customer-facing software.

Corporate Systems Product Management focuses on the internal platforms that power how Smartsheet operates - including Finance, People, Sales operations, integrations, and internal automation. Product Managers in this team steward system roadmaps, business workflows, and long-term platform evolution across these domains.

As Principal Product Manager – Monetization & Billing, you will own the end-to-end systems and workflows that define how Smartsheet monetizes its products. This includes subscriptions, usage-based pricing, consumption models, entitlements, provisioning, billing, and the integration of these capabilities across product, GTM, and finance systems.  You will operate at the intersection of Product Engineering, Sales/GTM, and Finance to ensure monetization models are accurately represented, scalable, and adaptable as the business evolves. This role is responsible for shaping how pricing and packaging strategies are translated into system capabilities, ensuring consistency from quote through provisioning, billing, and revenue recognition.

You will partner closely with Product Engineering, Sales Operations, Finance, and Integration teams to steward system health and define the future state of Smartsheet’s monetization architecture as new pricing paradigms and business models emerge.  You will report to the Director of Corporate Systems Product Management and collaborate closely with Engineering and senior business stakeholders across the company.

This full-time position reports to the Sr. Director, Development and can be located in our Bellevue, WA office, or you may work remotely from anywhere in the US where Smartsheet is a registered employer.

You Will:

• Own the product vision, roadmap, and prioritization for Order-to-Cash and monetization platforms across Smartsheet
• Define how pricing, packaging, and monetization models (subscription, usage-based, consumption, multi-year agreements) are implemented across systems
• Partner closely with Product Engineering, Sales Operations, and Finance stakeholders to understand monetization workflows, constraints, and opportunities
• Steward the end-to-end lifecycle from quote to provisioning to billing to revenue alignment across systems
• Define and evolve entitlement and provisioning models that connect the core product platform with GTM and billing systems
• Ensure reliable integrations and data flows across Salesforce, product platforms, billing systems, and financial systems
• Translate complex monetization and pricing requirements into clear system-level decisions, tradeoffs, and prioritization
• Balance flexibility for new business models with system integrity, auditability, and operational simplicity
• Identify and resolve inconsistencies, inefficiencies, and risks across monetization workflows and system boundaries
• Partner with Engineering teams to design scalable, integration-driven solutions that support evolving SaaS and AI-driven business models
• Establish and monitor metrics that track monetization system health, accuracy, and operational performance
• Communicate roadmap direction, tradeoffs, and system constraints clearly to senior leadership and stakeholders
• Support governance, readiness, and lifecycle planning for monetization-related system changes and enhancements

You Have:

• Bachelor’s degree in Business, Information Systems, Computer Science, or a related field — or equivalent practical experience. An advanced degree is a plus but not required.
• 8+ years of experience supporting enterprise systems as a Product Manager, Systems Analyst, or similar role, with increasing ownership and scope
• Strong experience working within Order-to-Cash, billing, subscription, or monetization systems in a SaaS environment
• Deep understanding of SaaS business models including subscriptions, usage-based pricing, consumption models, and revenue workflows
• Experience working across multiple enterprise systems such as Salesforce, billing platforms, and financial systems
• Strong systems thinking and ability to design and reason about complex cross-system workflows and data flows
• Experience translating evolving business models into scalable system capabilities
• Ability to operate at both strategic and tactical levels, defining vision while driving execution
• Strong prioritization skills and comfort balancing business flexibility, technical constraints, and operational risk
• Excellent analytical and both verbal and written communication skills with the ability to influence senior stakeholders
• Experience supporting or enabling new pricing paradigms, monetization strategies, or platform transformations is strongly preferred
• Legally eligible to work in the U.S. on an ongoing basis

Help us navigate the landscape of security and compliance, ensuring our platform remains a trusted solution for the world's leading companies. The Manager, Field Security role is critical to Smartsheet’s success, ensuring that internal controls and product features are communicated properly to customers and internal business operations. This role will report to the Sr Director, GRC Engineering  and work in our Bellevue, WA office, or remotely from anywhere in the US where Smartsheet is a registered employer.

Key Responsibilities

• Deal Acceleration - Capture new business by responding to customer security questionnaires and general security questions, ensuring impediments to closing deals are removed efficiently.
• Security Advisory - Retain and grow customers through direct engagement (high value and at-risk) and by providing security guidance for internal business operations.
• Security Evangelism - Enhance customer security and trust by providing industry-wide security expertise through podcasts, panels, and thought leadership.
• Leadership - Lead, manage, and grow a unified Field Security team, fostering a culture of customer security advocacy
• Operational Excellence - Continuously implement operational improvements and drive the delivery of accelerated processes to handle higher volumes and to increase velocity.
• Metrics & Reporting - Develop and maintain metrics and reporting to provide transparency into processes and highlight team performance against Service Level Agreements (SLAs).

Qualifications

• 10+ years of experience in Security Solutions, Sales Engineering, Security Architecture, or related fields.
• 5+ years of experience building and leading high-performing teams.
• Strong ability to partner with Sales, Marketing, Engineering, and Product teams.
• Knowledge of NIST 800-53, ISO, SOC 2, and FedRAMP Moderate/IL4.
• Professional certifications such as CISA, CRISC, or CISSP are preferred.
• Excellent written and verbal communication skills, with experience in public speaking or creating external-facing content.
• A collaborative approach with the ability to work independently and influence stakeholders at all levels to drive remediation and consensus.
• Legally eligible to work in the U.S. on an ongoing basis
• BS or MS in Computer Science, a related field, or equivalent industry experience

You independently lead the most complex AI deployments Smartsheet undertakes. You own the full engagement lifecycle from technical discovery through production deployment through solutions org handoff. You architect multi-agent solutions, design client-personalized MCP resource packs, and build the Deployment Kits that transform how 200+ solutions consultants and partners operate. You mentor junior FDEs, drive the intelligence loop, and present field findings at weekly Applied AI strategy sessions. You are building a function, not filling a role.

What You Will Do

• Lead complex, multi-system AI deployments end-to-end scope, architect, build, validate, and manage the customer relationship throughout.
• Own the AI workshop program for your pod, customize modules per customer, lead technical sessions, translate outputs into production requirements, evolve content from field learning.
• Architect multi-agent solutions selecting the right coordination pattern for each customer’s workflow characteristics and compliance requirements.
• Design client-specific and industry-specific MCP resource packs that serve personalized intelligence from the server so every connected AI surface gets smarter for that customer automatically.
• Own Deployment Kit quality for your pod. If a kit is not documented well enough for a solutions consultant with no engineering background to follow, it isn’t done.
• Lead Solutions Enablement Sprints: transfer AI deployment patterns to solutions consultants and partners with training materials and certification criteria.
• Drive the intelligence loop: author strategic memos, present field findings weekly, contribute Agent Bricks and Skills, file RFCs for platform improvements.
• Mentor junior FDEs on customer engagements, code reviews, and Deployment Kit quality.

What You Bring

• 6–10+ years production software engineering, including 3+ years deploying AI/ML to production. Deep Python; strong TypeScript/JavaScript.
• Proven track record leading complex enterprise technical engagements. You’ve managed customer relationships, navigated security reviews, and delivered production systems organizations depend on.
• Deep production LLM experience: multi-agent orchestration, MCP/tool-use, RAG optimization, evaluation frameworks, agent deployment at scale.
• System architecture expertise spanning enterprise systems, cloud infrastructure, and AI services explainable to a CIO and a junior engineer.
• Demonstrated ability to create reusable technical assets that others use in production. You think in platforms, not projects.
• Strong written and verbal communication. Architecture documents, runbooks, strategic memos, training materials. Your Deployment Kits are your portfolio.
• You leave teams better than you found them. You make sure the people you work with understand what was built, why it works, and how to own it without you.
• Ability to travel.  This role requires domestic and international travel approximately 25–50% of the time.
• Legally eligible to work in the U.S. on an ongoing basis
• BS or MS in Computer Science, a related field, or equivalent industry experience

Nice to Have: 

• Experience founding or scaling an FDE/solutions engineering function. 
• Technical founder background. Databricks, AWS Bedrock, or Temporal experience. 
• Deep domain knowledge in healthcare, financial services, or government. Agent framework contributions (Strands SDK, LangChain, open-source MCP servers).

Corporate Systems Engineering builds and operates the software platforms, integrations, and automations that power Smartsheet’s core business functions across Finance, Sales/GTM, and People & Culture.  Our team owns mission-critical systems and workflows that enable how the company hires, sells, bills, pays, reports, and scales. We operate at the intersection of software engineering, enterprise platforms, and business-critical data, treating internal systems with the same rigor, reliability, and product mindset as customer-facing software.

The AI & Automation team is our frontier - we're building the next generation of how employees interact with enterprise systems using agentic AI, large language models, and cloud-native automation. This isn't traditional IT. This is product-minded engineering applied to internal tools, with the mandate to fundamentally change how our employees work.

As a Senior Manager, Engineering (AI & Automation), you will lead a team of engineers focused on shipping AI-powered capabilities to employees on a rapid, iterative cadence. This is a hands-on, tech-leaning leadership role where the primary measure of success is delivery velocity — how quickly and effectively your team puts Claude, AWS Bedrock, and other AI tools into the hands of employees to make them measurably more efficient. You will partner closely with Product Management to own the automation roadmap and with Architecture and Data teams to shape our internal AI infrastructure.

This full-time position reports to the Sr. Director, Development and can be located in our Bellevue, WA office, or you may work remotely from anywhere in the US where Smartsheet is a registered employer.

You Will:

• Lead and grow a team of 4-8 automation engineers across US and offshore locations, responsible for designing, building, and operating automation solutions across Finance, Sales/GTM, People & Culture, and shared corporate workflows.
• Serve as a hands-on technical contributor (player/coach) — prototyping AI agents, reviewing architecture, and shipping features alongside your team, particularly in early-stage capabilities where speed matters more than delegation.
• Ship incremental AI-powered features on a regular cadence using Claude, AWS Bedrock, and our internal platform. Your team's primary output is employee-facing AI capabilities - agents that can read, write, and act across enterprise systems through natural language.
• Partner with Product Management to prioritize the automation roadmap, balancing quick wins that demonstrate value with foundational platform investments. You own delivery; the PM owns prioritization. 
• Design and operate LLM-powered automation pipelines - intelligent search, retrieval-augmented generation, and decision workflows that allow employees to programmatically interact with system data through natural language.
• Partner with Data Engineering, Architecture, and platform teams to design and evolve our internal knowledge graph, RAG infrastructure, and enterprise search capabilities. 
• Own the internal AI governance model for corporate systems, including the citizen developer framework - the guardrails, enablement resources, quality standards, and compliance controls that allow employees across the business to build with AI safely. This is a leadership responsibility, not a documentation exercise
• Drive operational excellence across the automation portfolio: sprint execution, CI/CD practices, reliability, SLAs, and data-driven engineering metrics. Build a team that ships predictably and sustainably.
• Stay at the frontier of AI/automation technologies and bring that perspective into how we work. Challenge existing approaches, advocate for modern patterns, and help the broader organization rethink legacy integrations through an AI-first lens.
• Contribute to multi-year strategies for automation and AI governance, lifecycle management, platform consolidation, and deprecation of legacy technologies.

You Have:

• 10+ years experience in software, automation, or systems engineering roles
• 4+ years management or technical leadership experience with player/coach characteristics
• Hands-on experience building with LLMs - whether that's agentic workflows, retrieval pipelines, prompt engineering at scale, or enterprise AI features. You've shipped something real, not just experimented.
• Integration development skills using iPaaS or custom code connecting enterprise systems via APIs
• Experience building or operating enterprise automations against systems such as Workday, NetSuite, Salesforce
• Experience with AWS or another cloud environment for automation workloads (Bedrock, SNS, SQS, Lambda, Step Functions, EventBridge)
• Experience partnering with Product Managers or equivalent business prioritization models
• Experience supporting data programs, data governance and tooling to support data initiatives
• Experience implementing or consuming LLM-based workflows, retrieval pipelines, or enterprise search
• Experience defining execution rituals, backlog management, outcome-based tracking without PM intermediaries
• Experience building and mentoring engineering talent
• Experience defining AI governance frameworks, citizen developer programs, or internal platform standards (preferred)
• A degree in Computer Science, Engineering, or a related field or equivalent practical experience
• Legally eligible to work in the U.S. on an ongoing basis

About the Role

The AI Platform Engineering team is looking for a highly motivated and talented engineer who are passionate about continuous learning and excited to grow in a fast-paced, innovative environment. We are an agile team that operates iteratively, focused on building high-quality software and adhering to rigorous operational best practices across complex, cross-functional distributed systems.

This full-time position reports to a Software Engineering Manager and can be located in our Bellevue, WA office, or you may work remotely from anywhere in the US where Smartsheet is a registered employer.

What You'll Do

• Build the AI Platform Foundation: Lead the design and ownership of the core infrastructure that serves as the backbone for all Smartsheet AI experiences. Focus on building a robust, multi-tenant environment that reduces friction for internal teams, allowing them to deploy reliable and scalable AI features with ease.
• Standardize the AI Developer Path: Architect high-level abstractions and "Golden Path" APIs that democratize AI development across Smartsheet. By insulating product teams from infrastructure complexity, you will enable them to ship intelligent features with high velocity while guaranteeing safety and consistency at scale.
• Engineer AI Trust & Safety Systems: Establish the mission-critical monitoring and quality assurance layers that protect Smartsheet customers. By creating rigorous evaluation pipelines, you will ensure every AI-driven feature meets the high bar for safety, data privacy, and deterministic performance expected by our enterprise partners.
• Drive technical strategy: Partner with principal engineers to define the technical roadmap for Smartsheet’s AI infrastructure, making architectural decisions that will shape how we build with AI for years to come.

What We're Looking For

Required

• 8+ years of software engineering experience, with at least 2 years working directly with LLMs in production
• Deep, hands-on experience with prompt engineering and context engineering, you understand how model behavior changes with framing, structure, and input design
• Strong working knowledge of RAG architectures: chunking strategies, embedding models, retrieval evaluation, and failure diagnosis
• Experience building or extending LLM evaluation frameworks, you have designed scorers, worked with golden datasets, and thought carefully about what good looks like
• Strong Python skills; comfortable working in data-heavy environments (Databricks, Delta tables, or equivalent)
• Ability to communicate complex quality findings (written and verbal) to both technical and non-technical stakeholders, you can explain what’s broke, why it matters, and what needs to happen next without losing the room
• Strong cross-functional judgment, you know when to escalate, when to resolve independently, and how to build credibility across engineering, product, and AI platform teams
• A bias for clarity in ambiguous situations, when failure modes are murky and trade-offs are real, you bring structure and a clear point of view rather than waiting for consensus

Strong Plus

• Prior work in an Applied AI or LLMOps platform within a product company
• Experience with the following:
• Kubernetes (EKS/GKE): The industry standard for AI. Skills include managing GPU scheduling, auto-scaling based on token throughput, and using tools like Karpenter for cost-efficient node provisioning.

• Infrastructure as Code (IaC): Using Terraform, Pulumi, or AWS CDK to provision Vector Databases, SQS queues, and S3 buckets.

• Vector Databases: Proficiency in managing and optimizing Pinecone, Milvus, Weaviate, or Databricks Vector Search.
• AI Gateways: Building or configuring proxies (like LiteLLM or Kong AI Gateway) to handle rate-limiting, PII masking, and cost-tracking.

• LLM Observability: Setting up tracing tools like Langfuse, LangSmith, or MLflow to monitor "Time to First Token" (TTFT) and trace hallucination issues.
• Model-Based Evals: Implementing automated scoring systems (like RAGAS or DeepEval) that use an "LLM-as-a-Judge" to grade production outputs.

Smartsheet is building the next generation of AI-powered work management through SmartAssist, our intelligent agent platform. As we scale from early demos to production-grade agents, quality is the critical frontier and we are looking for a Agent Quality Engineer to own it.

This is not a QA role. It's a deeply technical, high-autonomy position at the intersection of LLM evaluation, prompt and context engineering, and retrieval-augmented generation. You will diagnose why our agents fail, design the systems that catch regressions, and drive measurable improvements across our orchestrator and subagent fleet.

You will work closely with our Agent Engineering and AI Platform teams, embedded in a team that has already shipped evaluation infrastructure on Databricks/MLflow and is building toward a mature Agent Development Lifecycle (ADLC).

You Will:

• Own agent quality end-to-end: diagnosis, improvement, and validation across SmartAssist's orchestrator and subagents
• Identify failure modes across quality dimensions factual accuracy, completeness, tone, actionability, and latency and prioritize what to fix
• Drive quality improvements through prompt engineering, context engineering, and RAG retrieval tuning
• Extend and mature our evaluation framework: scorers, golden datasets, regression gates, and online evaluation for production traffic
• Close the feedback loop ensure that every change has a measurable, attributable quality signal
• Collaborate with our Agent Architecture lead to distinguish quality problems that require prompt/context solutions from those that require structural fixes
• Establish repeatable methodology that scales beyond any single agent or subagent

You Have:

Required

• 8+ years of software engineering experience, with at least 2 years working directly with LLMs in production
• Deep, hands-on experience with prompt engineering and context engineering, you understand how model behavior changes with framing, structure, and input design
• Strong working knowledge of RAG architectures: chunking strategies, embedding models, retrieval evaluation, and failure diagnosis
• Experience building or extending LLM evaluation frameworks, you have designed scorers, worked with golden datasets, and thought carefully about what good looks like
• Fluency in agent system design, you don't need to own the architecture, but you can engage as a peer on architectural tradeoffs that affect quality
• Strong Python skills; comfortable working in data-heavy environments (Databricks, Delta tables, or equivalent)
• Ability to communicate complex quality findings (written and verbal) to both technical and non-technical stakeholders, you can explain what’s broke, why it matters, and what needs to happen next without losing the room
• Strong cross-functional judgment, you know when to escalate, when to resolve independently, and how to build credibility across engineering, product, and AI platform teams
• A bias for clarity in ambiguous situations, when failure modes are murky and trade-offs are real, you bring structure and a clear point of view rather than waiting for consensus
• Legally eligible to work in the U.S. on an ongoing basis
• BS or MS in Computer Science, a related field, or equivalent industry experience

Strong Plus

• Experience with MLflow or similar experiment tracking platforms
• Familiarity with CI-integrated evaluation pipelines
• Experience with multi-agent orchestration frameworks
• Prior work in an Applied AI or LLMOps function within a product company

What Success Looks Like:

In your first 6 months, you will have:

• Delivered measurable, validated quality improvement on at least one SmartAssist agent across our defined quality dimensions
• Expanded evaluation coverage to close the most significant blind spots in our current framework
• Established a repeatable quality improvement methodology the broader team can apply

Why This Role:

• You will have real ownership, not a supporting role on someone else's roadmap
• SmartAssist is shipping to real users; this work has immediate, visible impact
• You will be part of a fast-moving team that deeply values engineering rigor and actively seeks diverse perspectives

Automation is the key to creating highly reliable and secure large-scale software systems. Are you ready to launch your career by engineering solutions rather than simply fixing problems?

We are looking for a Software Engineer I to join our global Secure Platform Operations team in the US. This is a unique opportunity for an early-career engineer to work at the intersection of platform engineering, security, and developer experience. You will be mentored by senior leaders to help build and evolve a platform with security as a first priority, and support engineering teams with onboarding, automating, and simplifying the experience in order to improve resilience/reliability, reduce operational burden for teams, and accelerate productivity and velocity for Smartsheet.

In this role, you will learn to treat security and reliability as software engineering challenges. You will grow into a key contributor who ensures our production environment is scalable, defensible, and highly reliable.

What You Will Do

• Learn and Build Secure Infrastructure: Under the guidance of senior engineers, you will assist in designing and maintaining secure infrastructure on EKS in our multi-cloud environment (AWS) using Infrastructure as Code (Terraform).
• Automate Security & Workflows: You will write code (Python, Go, or Bash) to automate manual tasks, threat detection, and vulnerability management processes.
• Secure the Pipeline: You will help integrate security tools (SAST, DAST, SCA) into our CI/CD pipelines, ensuring developers receive fast, actionable feedback on their code.
• Support Container Operations: You will gain hands-on experience managing and securing our container orchestration platform (Kubernetes/EKS) and self-hosted GitLab Runners.
• Collaborate and Grow: You will participate in code reviews, technical discussions, and blameless post-mortems to learn operational excellence and security best practices.

What You Have:

• US Person Status: Must be a U.S. Citizen, U.S. National to meet federal compliance requirements.
• Education: A BS or MS in Computer Science, Engineering, or a related field (or equivalent capability).
• Foundational Coding Skills: Proficiency in at least one modern programming or scripting language, such as Python, Go, Java, or Bash.
• Cloud Curiosity: A basic understanding of cloud concepts (AWS preferred) and a strong desire to learn Infrastructure as Code (Terraform).
• Security Mindset: Familiarity with basic security concepts (e.g., OWASP Top 10) or a strong interest in the cybersecurity landscape.
• Problem Solving: A critical thinker who enjoys troubleshooting complex technical problems and wants to understand how large-scale systems work.
• Communication: Excellent verbal and written communication skills and a collaborative spirit.

Nice to Have:

• Previous internship experience in DevOps, SRE, Platform Engineering, or Software Engineering.
• Experience with Linux/Unix command line.
• Personal projects or coursework involving Docker, Kubernetes, or CI/CD pipelines (GitLab/GitHub).
• Basic understanding of networking concepts (HTTP, DNS, TCP/IP).

The Grid Service and Platform Engineering team is looking for a highly motivated and collaborative Software Engineering Manager. This role involves leading the engineering of mission-critical, tier 0 service infrastructure, the foundational data platform that powers Smartsheet at scale. You will oversee services that handle millions requests per day, operate at 99.999% availability, and deliver low-latency, high-throughput performance for millions of customers worldwide.

We are an agile team that operates iteratively, focused on building high-quality software and adhering to rigorous operational best practices across complex, cross-functional distributed systems.

This full-time position reports to the Director, Engineering and can be located in our Bellevue, WA office, or you may work remotely from anywhere in the US where Smartsheet is a registered employer.

You Will:

• Manage one or more related teams of 6–10+ software engineers, driving development of tier 0 grid services and platform infrastructure that millions of customers depend on daily.
• Own and uphold 99.999% service availability targets across critical platform services, embedding reliability engineering, incident management, and on-call rigor into team culture.
• Help architect and guide technical vision to evolve low-latency, high-throughput service platforms capable of sustaining millions requests per day with predictable, consistent performance under load.
• Guide and mentor engineers on distributed systems architecture, scalability patterns, and platform best practices while leading design reviews for high-stakes system components.
• Lead cross-functional technical efforts spanning multiple upstream dependents, partner teams, and internal consumers, building alignment and resolving systemic dependencies across the organization.
• Plan and deliver complex, end-to-end infrastructure projects with high technical ambiguity, managing risks, communicating clearly to stakeholders, and building cross-team consensus.
• Drive SLO/SLA definition, capacity planning, performance benchmarking, and observability strategy across your platform services.
• Partner closely with product management, infrastructure, security, and other engineering pillars to shape technical roadmaps and contribute to long-range platform strategy.
• Hire exceptional engineering talent and grow your teams by attracting, developing, and advancing great engineers strategically across multiple teams.
• Mentor and coach both individual contributors and managers within and beyond your teams, identifying and developing potential successors.
• Own quarterly and annual technical and operational goals for your platform area, managing metrics, reporting, and continuous improvement initiatives.
• Communicate effectively with executives and non-technical stakeholders, anticipating cross-team conflicts and proactively driving resolution.
• Champion AI adoption in both software and platform engineering lifecycles, leveraging shared learnings to improve operational efficiency and customer experiences.

You Have:

• 8+ years of software development, strong CS fundamentals (algorithms, data structures, distributed systems, systems design).
• 3+ years of engineering management, leading high-availability infrastructure/platform services.
• Proven track record owning and operating tier 0/mission-critical systems with five-nines (99.999%) availability.
• Hands-on experience building/operating low-latency, high-throughput service platforms (millions requests/day).
• Deep understanding of scalability, fault tolerance, and operational patterns for five-nines availability.
• Experience managing complex dependencies across distributed architectures.
• Strong CS fundamentals: distributed systems, concurrency, caching, data consistency, performance optimization.
• Experience building and scaling large-scale, cloud-native backend services (AWS or equivalent).
• Proficiency with observability: metrics, distributed tracing, alerting, and SLO/SLA management at scale.
• Experience productionizing services for multiple internal/external platform consumers.
• Demonstrated success building and scaling engineering teams (recruiting, onboarding, retaining senior/staff engineers).
• Experience with Agile/Scrum and iterative delivery on long-horizon infrastructure projects.
• Ability to balance engineering excellence with operational pragmatism.
• Communicates clearly and consistently with technical and non-technical audiences, including executive leadership
• Proactively surfaces risks, blockers, and status updates without prompting
• Provides direct, constructive feedback and supports engineer growth at all levels
• Plus: Experience building/managing full-stack teams.
• Plus: Exposure to AI/ML platform integration or AI-powered backend features.
• CS/Engineering degree or equivalent practical experience.
• Must be legally eligible to work in the US on an ongoing basis.

Smartsheet Views are the user-facing center of the Smartsheet experience. They are the highest-usage UX area in the product, and the primary way millions of users interact with the Grid Platform, the core of Smartsheet's Intelligent Work Management platform. As Director of Engineering for Views, you will lead the teams building Timeline View, Board View, and the Shared Experiences that power UX consistency across Smartsheet's growing portfolio of views. These teams sit at a critical intersection of front-end craft, platform architecture, and product strategy.

You will report to the Senior Director of Engineering, based in our Bellevue, WA office, or you may work remotely from anywhere in the US where Smartsheet is a registered employer.

You Will:

• Own the engineering vision, charter, and goals for the Views pillar, partnering with your product counterpart to co-drive roadmap and quarterly priorities for Timeline View, Board View, and Shared Experiences.
• Lead multiple engineering teams through a layer of Engineering Managers and Principal Engineers, holding them accountable for delivery, technical quality, and team health while coaching them to grow as leaders.
• Drive the architecture of highly scalable, high-traffic, high-availability front-end experiences at the center of Smartsheet's intelligent work management platform.
• Set and maintain a high quality bar across the pillar, including code quality, automated test coverage, performance, security, and operational excellence, and build the mechanisms to sustain it.
• Define metrics and own engineering and business outcomes for the pillar, including availability metrics, production reliability, and customer satisfaction signals.
• Initiate and guide cross-team technical efforts, resolving architectural conflicts, reducing duplication, and making bold decisions that position the Views platform for future needs.
• Communicate proactively to a wide range of audiences, from your engineering teams to executive leadership and customers, translating technical complexity into business context and vice versa.
• Drive AI adoption across the pillar, holding leaders accountable for AI productivity and championing AI-first design decisions and operational practices.
• Lead strategic hiring planning for the pillar, model a high bar for talent, and build an inclusive culture that develops and retains great people.
• Demonstrate a passion for continuous improvement; build learning organizations that keep pace with the state of the art and mentor engineering managers and principal engineers across the pillar.

You Have:

• 11+ years of software engineering and system architecture experience across multiple languages, frameworks, and paradigms.
• 5+ years in engineering leadership, including 3+ years managing organizations of 20+ people with direct experience leading managers.
• A track record of building and scaling high-traffic, high-availability enterprise SaaS products at scale.
• Deep familiarity with modern front-end development and state management; hands-on experience with React, Redux, Webpack, or comparable libraries is required.
• 4+ years of microservice or SOA-based web application development and experience designing distributed systems.
• Experience with AWS infrastructure tooling (Terraform, EC2, ALB, Route 53, etc.) and NoSQL/relational database architectures across globally replicated cloud environments.
• A track record of building secure, performant applications and embedding security principles into team architecture and culture.
• Experience leading cross-functional technical programs with significant ambiguity and cross-team dependencies; you deliver results under tough circumstances.
• Strong CS fundamentals: object-oriented design, data structures, algorithms, and familiarity with Agile/Scrum and DevOps/CI/CD practices.
• Clear communication across audiences, from executive briefings to coaching conversations with engineering managers.
• An ability to build trust across product, design, and platform by being the person peers call when problems get complicated.
• Experience coaching through ambiguity rather than defaulting to top-down direction.
• A BS or MS in Computer Science, Engineering, or a related field, or equivalent practical experience.
• Legally eligible to work in the U.S. on an ongoing basis.

Automation is the key to creating highly reliable and secure large-scale software systems. Are you ready to launch your career by engineering solutions rather than simply fixing problems?

We are looking for a Software Engineer II to join our Security Engineering team in the US. This is a unique opportunity to grow your career at the intersection of platform engineering, security, and developer experience. You will be mentored by senior leaders to help build and evolve a platform with security as a first priority, and support engineering teams with onboarding, automating, and simplifying the experience in order to improve resilience/reliability, reduce operational burden for teams, and accelerate productivity and velocity for Smartsheet. You will work closely with stakeholders and the Government FedRAMP program manager to ensure adherence to technical and process requirements for our Gov platform. 

In this role, you will learn to treat security and reliability as software engineering challenges. You will grow into a key contributor who ensures our production environment is scalable, defensible, and highly reliable.

What You Will Do

• Support FedRAMP compliance: You will work to ensure that platform and service architecture meets FedRAMP program requirements, including developing architecture diagrams and documents and communicating updated guidelines and directives to internal stakeholders.
• Learn and Build Secure Infrastructure: Under the guidance of senior engineers, you will assist in designing and maintaining secure infrastructure on EKS in our multi-cloud environment (AWS) using Infrastructure as Code (Terraform).
• Automate Security & Workflows: You will write code (Python, Go, or Bash) to automate manual tasks, threat detection, and vulnerability management processes.
• Secure the Pipeline: You will help integrate security tools (SAST, DAST, SCA) into our CI/CD pipelines, ensuring developers receive fast, actionable feedback on their code.
• Support Container Operations: You will gain hands-on experience managing and securing our container orchestration platform (Kubernetes/EKS) and self-hosted GitLab Runners.
• Collaborate and Grow: You will participate in code reviews, technical discussions, and blameless post-mortems to learn operational excellence and security best practices.

What You Have (Qualifications)

• US Person Status: Must be a U.S. Citizen, U.S. National to meet federal compliance requirements.
• Education: A BS or MS in Computer Science, Engineering, or a related field (or equivalent capability).
• Foundational Coding Skills: Proficiency in at least one modern programming or scripting language, such as Python, Go, Java, or Bash.
• Cloud Curiosity: A basic understanding of cloud concepts (AWS preferred) and a strong desire to learn Infrastructure as Code (Terraform).
• Security Mindset: Familiarity with basic security concepts (e.g., OWASP Top 10) or a strong interest in the cybersecurity landscape.
• Problem Solving: A critical thinker who enjoys troubleshooting complex technical problems and wants to understand how large-scale systems work.
• Communication: Excellent verbal and written communication skills and a collaborative spirit.

Nice to Have

• Previous internship experience in DevOps, SRE, Platform Engineering, or Software Engineering.
• Experience with Linux/Unix command line.
• Personal projects or coursework involving Docker, Kubernetes, or CI/CD pipelines (GitLab/GitHub).
• Basic understanding of networking concepts (HTTP, DNS, TCP/IP).

As a global leader in Collaborative Work Management and with a market cap of $10 bn we’ve experienced incredible growth in EMEA, expanding from 1 team and 3 engineers in 2018 to 80+ engineers in 2026.  As we continue expanding into Bulgaria and build our operation, we're searching for a talented and motivated Engineering Manager. Our business is built on finding top-grade talent and empowering them to build and improve our service offerings.

You Will:

• Manage a team of software engineers to deliver great products to our customers
• Oversee the development and success of one or more products
• Lead, coach, and inspire your team to achieve quality software
• Collaborate with partners across the company, including product management, UX, and customer teams
• Establish lean engineering processes that use collaboration and rapid iteration to build the right product for the right problems
• Hire and grow your team by promoting engineering excellence and career development

You Have:

• You have 8+ years of software engineering experience and 3+ years managing software engineering teams.
• You have deep software development skills in at least one systems development language such as Java, C++ or Python 
•  You have experience with modern technology stacks with a bent for building scalable, highly available customer-facing cloud applications.
• You have experience in a technology that you're personally excited about, such as distributed systems, systems automation, and cloud technologies.
• You like to dive in, learn new things, and want to build awesome products
• Legally eligible to work in Bulgaria on an ongoing basis
• Proficiency in English is required. 

We are seeking a passionate and experienced Senior Software Engineer to join our Security Application Development team. In this role, you will be instrumental in designing, building, and maintaining robust security features for our SaaS product that will delight our customer CIOs. You will work on challenging problems at the intersection of application development and security, directly contributing to the resilience and trustworthiness of our platform. This is an exciting opportunity to leverage your software development expertise to create secure-by-design solutions that protect our customers and their data 24/7.

You will work remotely from Bulgaria.

What You Will Do

• Develop Secure Product Features: Design, build, and implement security features and functionalities directly into our SaaS product using modern programming languages (e.g., Java, Kotlin, Go, TypeScript, Python) and associated frameworks.
• Build Scalable and Secure Services: Develop scalable back-end services and APIs with a security-first mindset, ensuring high availability and performance in our multi-cloud environment (primarily AWS).
• Integrate Security into SDLC: Collaborate with product and engineering teams to embed security best practices throughout the entire software development lifecycle, from design to deployment.
• Automate Security Controls: Engineer and automate security controls, threat detection mechanisms, and vulnerability remediation processes within the application.
• Conduct Code Reviews and Architectural Discussions: Participate actively in code reviews and architectural discussions, advocating for secure coding practices and robust security designs.
• Solve Challenging Security Problems: Tackle complex security challenges related to data protection, access control, authentication, authorization, and secure communication within a distributed system.
• Create and maintain API integrations between internal and external systems. Implement and test API solutions to ensure they meet functionality, performance, and security standards. Monitor API performance and address any integration challenges or issues.
• Mentor and Lead: Serve as a subject matter expert in application security, mentoring junior engineers and fostering a culture of security ownership across development teams.
• Strategically Apply AI Tools: Strategically apply and champion AI tools within your team's domain to improve project execution, system design, quality, and debugging, leading adoption of AI best practices and driving measurable productivity gains.

Assist with Security Incident Remediation: We manage a SOC on a global 24/7 basis. This role will assist in that effort during daytime working hours.

What You Have 

• 5+ years of progressive software development experience, with at least 3 years focused on building security features or secure applications.
• A BS or MS in Computer Science, Engineering, or a related field, or equivalent industry experience.
• Expert-level proficiency in at least one major programming language such as Java, Kotlin, Go, or Python  with a proven history of building scalable and secure applications.
• Deep experience with cloud technologies (AWS, Azure, etc.), particularly in securing cloud-native applications.
• Experience developing, documenting, and supporting secure REST APIs.
• Strong understanding of common security vulnerabilities (e.g., OWASP Top 10) and mitigation techniques.
• Experience with containerization and orchestration technologies (Kubernetes) in a secure development context.
• Proficiency with modern security tools and practices, including static application security testing (SAST), dynamic application security testing (DAST), and software composition analysis (SCA).
• A critical thinker with a proven ability to troubleshoot complex security-related problems in high-pressure production environments.
• Excellent verbal and written communication skills and a collaborative spirit. This will include fluency in English.
• 1 year professional experience leveraging AI-based workflows to author, maintain, review, deploy, and maintain code.
• 1+ years building AI features that incorporate generative AI or agentic workflows to solve customer problems with measurable business impact.
• Legally eligible to work in Bulgaria on an ongoing basis.
• Fluency in English is required.

Nice to Have

• Advanced industry certifications such as CSSLP, OSCP, or cloud-specific security certifications.

Automation is the key to creating highly reliable and secure large-scale software systems. Are you someone who engineers solutions to problems rather than simply fixing the same thing over and over again? Can you protect Smartsheet against attackers?

We are looking for a Senior DevSecOps Engineer to join our global Security Operations team. In this critical role, you will be a leader in maturing our security and reliability posture by treating both as software engineering challenges. You will engineer and operate a highly reliable, scalable, and defensible production environment, directly impacting our ability to deliver a world-class service to our customers 24/7. This is a unique opportunity to blend deep expertise in Site Reliability Engineering (SRE) and modern Security Operations, working at the intersection of infrastructure, automation, and security to build a platform that is resilient and secure by design.

You will work remotely from Bulgaria.

What You Will Do

• Engineer Secure and Resilient Infrastructure: Design, build, maintain, and improve secure, scalable, and highly available infrastructure in our multi-cloud environment (primarily AWS) using Infrastructure as Code (IaC) principles with tools like Terraform, Kubernetes, and Helm.
• Automate Proactive Security: Engineer and automate threat detection, incident response, and vulnerability management processes. You will build the tools and workflows that allow us to respond to threats at machine speed.
• Secure the Software Development Lifecycle: Architect and secure our CI/CD pipelines, integrating automated security tooling (SAST, DAST, SCA) to provide developers with fast, actionable feedback.
• Master Container Security: Manage, operate, and secure our container orchestration platform (Kubernetes), implementing best practices for container security from the registry to runtime, including knowledge of hardening requirements such as CIS Benchmarks or DISA STIG.
• Lead Incident Response: Act as a technical lead during security and reliability incidents, driving resolution and conducting blameless post-mortems to engineer preventative solutions.
• Drive Automated Compliance: Implement and automate technical controls to ensure continuous compliance with frameworks such as FedRAMP, SOC 2, and ISO 27001.
• Mentor and Lead: Serve as a subject matter expert for security and reliability, mentoring other engineers and championing a culture of operational excellence and security ownership across the organization.

What You Have (Qualifications)

• 8+ years of progressive experience in technology, with at least 5 years in a hands-on senior role such as Site Reliability Engineering, DevOps, or Security Engineering.
• A BS or MS in Computer Science, Engineering, or a related field, or equivalent industry experience.
• Expert-level proficiency in at least one major cloud provider, preferably AWS, with deep knowledge of core infrastructure and security services.
• Expert-level proficiency with Infrastructure as Code, particularly Terraform.
• Expert-level proficiency in a scripting or programming language such as Python, Go, or Ruby, with a proven history of building automation and custom tooling.
• Deep experience with containerization and orchestration technologies (Kubernetes), including securing containerized environments.
• Proficiency with the modern security operations toolchain, including SIEM, EDR, and vulnerability scanning technologies.
• Experience integrating security tools (SAST, DAST, SCA) into CI/CD pipelines.
• A critical thinker with a proven ability to troubleshoot complex problems in high-pressure production environments.
• Excellent verbal and written communication skills and a collaborative spirit.
• Fluency in English is required
• Legally eligible to work in Bulgaria on an ongoing basis

Nice to Have

• Advanced industry certifications such as CISSP, CISM, OSCP, or cloud-specific security certifications.
• Experience with compliance frameworks like FedRAMP, ISO27001, SOC2.

Our India Global Capability Center isn't just supporting global operations—we’re leading global innovation. After scaling rapidly into a best-in-class hub, we deliver the product innovation and enterprise capabilities that accelerate our global growth, profitability, and scale. As we expand Smartsheet India, we’re searching for Principal Data & AI/ML Ops Engineers, who crave variety and ownership. You’ll have the opportunity to work across multiple teams and disciplines, building a versatile skillset while solving the complex challenges of a global platform. 

You Will:

• Data Architecture and Design: Designing and overseeing the architecture of scalable and reliable data platforms, including data pipelines, storage solutions, and processing systems
• Data Modelling and Management:Developing and implementing data models, ensuring data quality, and establishing data governance policies
• Data Pipeline Development: Building and optimising data pipelines for ingesting, processing, and transforming large datasets from various sources
• Performance Optimisation: Identifying and resolving performance bottlenecks in data pipelines and systems, ensuring efficient data retrieval and processing
• Technology Evaluation and Innovation: Staying abreast of emerging data technologies and exploring opportunities for innovation to improve the organisation’s data infrastructure
• Troubleshooting and Problem Solving: Diagnosing and resolving complex data-related issues, ensuring the stability and reliability of the data platform
• Data Security and Compliance: Implementing data security measures, ensuring compliance with data governance policies, and protecting sensitive data
• Perform other duties as assigned

You Have:

• Enterprise SaaS software solutions with high availability and scalability
• Solution handling large scale structured and unstructured data from varied data sources
• Experience in building and maintaining data platform systems such as distributed compute, data orchestration, distributed storage, streaming infrastructure ensuring scalability, reliability, efficiency and security
• Working with Product engineering team to influence designs with data, AI and analytics use cases in mind
• In depth experience in System design involving large Petabytes of data with Databricks Lakehouse
• Experience in modern AI/Data infrastructure patterns, Semantics layer Organizing data for AI agents (metadata, context)
• AI/MLOps workflows on Databricks , MLFlow, Mosaic AI Agent Framework, Unity Catalog, Vector Search, Knowledge Graph
• Knowledge of AI/ML frameworks like LangChain, LangGraph for AI/ML Ops pipeline integration
• Cloud Platforms: Hands-on experience with at least one major cloud provider (AWS, Azure, or GCP). Experience in AWS hosted data platform is preferable
• Programming languages like Python, SQL, and potentially Java or Scala
• Exposure to Snowflake and Data pipeline frameworks like Airbyte/Airflow is preferable
• Modern software engineering practices like Kubernetes, CI/CD, IAC tools (Preferably Terraform), Observability, monitoring and alerting
• Solution Cost Optimisations and design to cost
• Driving engineering excellence initiatives
• Legally eligible to work in India on an ongoing basis

Our India Global Capability Center isn't just supporting global operations—we’re leading global innovation. After scaling rapidly into a best-in-class hub, we deliver the product innovation and enterprise capabilities that accelerate our global growth, profitability, and scale. As we expand Smartsheet India, we’re searching for Senior Software Engineers who crave variety and ownership. Whether your expertise is in front-end, back-end, test automation, ops, or infrastructure, you’ll have the opportunity to work across multiple teams and disciplines, building a versatile skillset while solving the complex challenges of a global platform. 

You Will:

• Work on all areas of the software from front end, back end, cloud infrastructure and test automation
• Drive high standards within the team for all internal services and open source tooling/libraries we maintain
• Deploy service and infrastructure changes frequently in a lean agile environment using full CI/CD
• Contribute in all aspects of product development: idea generation, customer engagement, planning, design, prototyping, execution, shipping, and operational excellence
• Collaborate with a team of passionate, engaged engineers, and with cross-functional teams that include product managers, UX designers, UX researchers, and more
• Actively mentor more junior engineers, showing how to balance customer delivery while holding high coding, service, and cloud infrastructure standards
• Apply different approaches to problem solving and help validate your ideas and those of your teammates
• Strategically apply and champion AI tools within your team's domain to improve project execution, system design, quality, and debugging, leading adoption of AI best practices and driving measurable productivity gains
• Help define success for yourself, your team, and the features you help to conceive, build, and ship
• Perform other duties as assigned

You Are:

• 7+ years of experience in Backend / Fullstack development
• Proficient with at least one of the following: Golang, Java, Node.js
• Familiar with algorithms, data structures, and coding best practices
• Curious, and always want to get to the bottom of why things work the way they do
• A supportive leader. You want to help people get unstuck, and can easily recognise that teams are more effective when colleagues look for opportunities to help one another.
• A great communicator. You can break a concept down based on your audience, whether they’re technical or non-technical - and your medium, whether it’s verbal, in prose, or in code
• A builder who takes pride in your craft and works toward quality
• An empathic individual who can help translate customer feedback and needs into features that solve problems
• Someone who views bugs, mistakes, and compiler errors as opportunities to learn
• Legally eligible to work in India on an ongoing basis
• Fluency in English is required

You Have:

• Experience with distributed systems at scale
• Understands event-driven architecture’s principles, advantages and limitations, and can apply it appropriately
• Hands-on experience with Kinesis, Kafka, or similar
• Experience with Go or other C-like languages such as Java
• Experience with improving large-scale event processing systems is desirable
• Experience with database log streams e.g. MS-SQL Transaction Logs, MySQL Bin Logs is desirable
• Experience with stream processing frameworks such as Flink, Spark, or other is desirable
• Squad lead or team lead experience is desirable

As a global leader in Collaborative Work Management and with a market cap of $10bn, we’re scaling our EMEA engineering presence rapidly and are on a strong growth trajectory to 80+ engineers in 2026.

You will report to an Engineering Director

You Will:

• Lead and grow a high-performing engineering team responsible for Enterprise Audit capabilities (e.g., audit trail, admin activity tracking, audit log APIs/exports, retention policies, and audit experiences).
• Define and drive the Enterprise Audit roadmap in partnership with Product, Security, Compliance, and other engineering teams—balancing customer value, compliance requirements, and platform sustainability.
• Own architecture and delivery of highly reliable, secure, and scalable audit systems, including event capture, processing, storage, and query/reporting at enterprise scale.
• Build audit as a platform capability with strong guarantees (integrity, durability, tamper resistance, and clear schemas), enabling other teams to emit and consume auditable events consistently.
• Embed security and privacy into everything (least privilege, encryption, defensible access patterns, data minimization, and clear retention/deletion behaviors).
• Establish operational excellence: SLIs/SLOs, monitoring, incident response, capacity planning, and on-call health for audit services.
• Coach and develop engineers and leads, creating a strong culture of ownership, high-quality delivery, and continuous improvement.
• Communicate clearly and proactively with stakeholders and leadership on progress, tradeoffs, risks, and outcomes.
  
  

What You Will Achieve in Your First 360 Days

• First 30 days: Understand current audit capabilities, event sources, data flows, and customer requirements; build strong relationships with Security/Compliance and key partner teams.
• 60–90 days: Clarify the technical and product roadmap, improve team execution, and introduce/strengthen best practices for audit event quality, reliability, and operational readiness.
• 6 months: Deliver meaningful enterprise audit improvements (e.g., expanded coverage of auditable actions, improved exportability, stronger retention controls, or better performance at scale) with measurable customer and operational impact.
• 360 days: Establish a durable Enterprise Audit foundation—scalable, secure, and extensible—positioning Smartsheet as a trusted platform for regulated and security-conscious enterprises.
  
  

You Have

• 10+ years in software development, including experience building distributed systems and production services at scale.
• 5+ years managing engineering teams with a strong track record of coaching, delivery, and talent development.
• Experience designing systems that emphasize data integrity, traceability, and reliability (audit/logging, compliance platforms, security telemetry, billing/ledger-like systems, etc.).
• Strong understanding of security fundamentals (authN/authZ, RBAC, encryption, secure-by-design practices) and how they apply to enterprise audit requirements.
• Proven ability to partner cross-functionally, align priorities, and deliver through ambiguity.
• Strong Agile delivery habits and a pragmatic approach to balancing speed, quality, and long-term maintainability.
• Legally eligible to work in Bulgaria on an ongoing basis.
• Fluency in English is required.

Why Should You Join Us?

• Lead a mission-critical capability that directly supports Enterprise trust, governance, and compliance.
• Build foundational platform services used across product areas and relied on by our largest customers.
• Influence technical direction and team culture in a high-growth engineering organization.
• Work in a supportive, inclusive environment where your voice and leadership make a visible impact.
  
  

As a global leader in Intelligent Work Management with a market cap of $10bn, we’ve continued to scale our engineering presence internationally. Since expanding into Bulgaria in October 2024, we’ve grown to a team of 30+ engineers.  As we continue building this operation, we’re looking for talented and motivated Senior Software Engineers who are passionate about continuous learning and excited to grow in a fast-paced, innovative environment.

Smartsheet runs on a modern SaaS stack hosted on AWS, with infrastructure defined and managed as code using Terraform and strong engineering best practices. Our core platform includes a legacy Java monolith alongside a growing ecosystem of microservices, primarily built in Java and Go (with a small number of Kotlin services). On the front end, product teams that deliver UI experiences use React.

You will work remotely from Bulgaria and will be reporting to an engineering leader.

You Will:

• Work on all aspects of software development, including back-end, front-end, cloud infrastructure, and test automation.
• Drive high standards for internal services and open-source tools, ensuring reliability and scalability.
• Deploy services and infrastructure changes frequently in an agile environment using full CI/CD pipelines.
• Contribute to product development across ideation, customer engagement, planning, design, execution, and operational excellence.
• Collaborate closely with cross-functional teams, including product managers, UX designers, and UX researchers.
• Mentor junior engineers, balancing customer delivery with high coding and infrastructure standards.
• Apply innovative problem-solving approaches and validate both your ideas and those of your teammates.
• Define success for your team and the features you help build and ship.
• Perform other duties as assigned.

You Have:

• Proficiency in Java or Golang
• Familiarity with algorithms, data structures, and coding best practices.
• Curiosity and a desire to understand how things work, with the ability to get to the root of complex problems.
• Strong communication skills, able to convey technical concepts clearly to both technical and non-technical audiences.
• A supportive mindset, willing to mentor and help colleagues get unstuck.
• Passion for quality, taking pride in building reliable, high-performance software.
• Empathy for users, able to translate customer feedback into effective solutions.
• A growth mindset, viewing bugs, mistakes, and challenges as learning opportunities.
• Legally eligible to work in Bulgaria on an ongoing basis.
• Fluency in English is required.