OverviewThe Infrastructure Engineer is responsible for the administration, support, engineering, and continuous improvement of enterprise communication and collaboration platforms.

(Remote — North America, LATAM or Europe) Nango (YC W23) is a developer infrastructure company and the leading provider of API access for agents and apps.

Hiring: Full-Time Bilingual Insurance Executive Assistant - Remote 🚀 About the Client 🚀 • 🏢 16 years of trusted service as an independent commercial insurance agency built on long-term client relationships.

About ActAIThere are over 5 billion users using basic applications today such email, notes, tasks, calendar and they're not AI-native.

Allara is a comprehensive women’s health provider that specializes in expert, longitudinal care that supports women through every life stage.

Headquarters: Remote Why AssemblyAI AssemblyAI builds the best-in-class Voice AI models powering the next generation of voice applications. Our models serve 600M+ inference calls monthly, process 1M+ hours of audio daily, and power 2 billion+ end-user experiences. The Voice AI space is at an inflection point; we’re looking for folks truly excited to join a small team and help define the future of the industry. We are one of the most capital-efficient AI companies on the planet - with under 100 people generating roughly $600K ARR per employee, we sit among the top 5 most revenue-dense teams within the fastest-growing AI companies today. That's not an accident; it's a deliberate choice to stay lean, move fast, and give every person on the team outsized ownership and impact. With thousands of customers including Granola, Fireflies, Figure AI, and CallRail, the company has real scale - processing over 2 million hours of audio daily and handling more than 1 million API calls every day. This is a rare growth-stage opportunity where the business is proven and the trajectory is steep, but the team is still small enough that your fingerprints are on everything. If you've ever felt buried under layers of bureaucracy, starved of real ownership, or frustrated watching your work disappear into a slow-moving org, AssemblyAI is built differently. The company operates as a true meritocracy, with no heavy planning or approval processes and no gatekeeping on the tools or information you need. For anyone who genuinely cares about voice AI, not as a trend to chase, but as a technology to build,  this is the place where the most interesting problems at the most interesting scale are being solved by a team small enough that you'll actually know everyone's name. We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. No matter your race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply!About the Role We're looking for a Senior Research Engineer to join our Research team, developing and improving the systems behind large-scale distributed training, data processing, and inference. Our goal as an organization is to solve customer problems and improve our products quickly through model development and measurement — and how fast we move depends on how quickly anyone here can run an experiment, measure it, and find out what's wrong. Raising that ceiling is the heart of this role. You'll be working inside the pipeline you're improving, not alongside it. The ideal candidate has a deep understanding of modern deep learning systems, combined with strong engineering expertise across JAX and TPUs, layer-level optimization, large-scale distributed training, streaming, low-latency and asynchronous inference, inference compilers, and advanced parallelization techniques. This is a cross-functional role. You'll work closely with our researchers, our infrastructure team, and production engineering — not as a handoff point, but as the person who learns enough of each domain to follow problems through to resolution. At times you'll train models, run evaluations, and analyze data yourself, both to deliver impact directly and to learn what's worth building to multiply the team's work. The bar is someone who understands the end-to-end impact they intend to make, measures it from the outset, and would rather find out they were wrong in a week than in a quarter. That discipline is what turns cross-functional ownership into an advantage. The role is embedded within the Research team.  What You’ll Do Raise the team's experimental velocity — make it faster to launch an experiment job, get a number back you can trust, and know what to try next. Maintain and evolve our JAX training framework, keeping it scalable and efficient for large-scale distributed training runs on TPU. Improve the data our models learn from: investigating quality issues, building the tooling to surface them, and turning what you find into measurable accuracy gains. Analyze the accuracy of production models, build evaluation harnesses, and work out which improvements will matter most to customers. Translate research prototypes into production-ready systems, refactoring and modernizing model architectures and infrastructure along the way. Optimize production inference for speech language models, both from a serving architecture perspective and through advanced techniques such as quantization and speculative decoding. Investigate and resolve performance bottlenecks across the stack, from low-level kernels (XLA, Pallas) to high-level system design. Partner with researchers, infrastructure, and production engineering to trace problems to their real source and ship fixes that hold. What You’ll Need Expert-level proficiency with JAX and TPUs, including the surrounding ecosystem (Flax, Optax, the XLA compilation pipeline). Measurement discipline. You define what success looks like before you start, you stay skeptical of your own results until they hold up, and you treat an unexplained improvement as a problem rather than a win. Appetite for the whole pipeline. Your core strength might be JAX and TPU performance, but when a customer issue traces back to a data problem or an evaluation blind spot, you want to go find it yourself. The people who do well here went deep in one area first, then kept expanding outward. Strong experience optimizing inference systems for production, ideally with LLMs or speech models. Deep understanding of distributed training at scale, modern deep learning systems, and ML infrastructure best practices. Familiarity with modern inference optimization techniques: continuous batching, KV-cache management, sharding strategies, quantization. Enthusiasm for refactoring and improving existing systems — you thrive on making products and code faster and better. Strong Python skills; C++ or Rust experience for kernel-level work is a plus. Excellent communication and a collaborative mindset — you can clearly explain complex tradeoffs and prioritize high-impact work. Bonus Domain knowledge in Speech-to-Text: ASR architectures, audio processing, streaming inference.  Pay Transparency: AssemblyAI strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on paying competitively for our size, stage, and industry, and are one part of many compensation, benefit, and other reward opportunities we provide. There are many factors that go into salary determinations, including relevant experience, skill level, qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range. The provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range which will be communicated to candidates throughout the interview process. Salary range: $270,000 - $310,000AI to Interview: If you’re selected for an interview, please review this resource to better understand how AssemblyAI approaches the use of AI in our interview process. GDPR privacy notice: Candidates from the EU should review this job applicant privacy notice before applying.  Keep Exploring AssemblyAI: Speech-to-text | Streaming speech-to-text | Speech Understanding | LLM GatewayTry the PlaygroundOur $50M Series C fundraiseCheck us out on YouTube! To apply: https://weworkremotely.com/remote-jobs/assemblyai-senior-research-engineer

Headquarters: San Francisco, CA or Remote, US The Role We’re looking for a driven and creative Account Executive to bring Descript’s video and AI solutions to more businesses around the world. As one of our early sales hires, you’ll help shape our sales playbook, refine our strategy, and drive new revenue growth. This role offers a rare opportunity to partner closely with Product and Marketing teams, working across the company to define the future of Descript’s enterprise and creator sales motion. What You’ll Do Own the full sales cycle — from prospecting to closing and expansion Develop and execute outbound strategies to identify and engage new opportunities Run product demos and lead technical + business conversations across multiple stakeholder levels Build and manage executive-level relationships with enterprise customers Travel to industry conferences, VIP executive dinners, and face-to-face customer meetings Collaborate with internal teams to optimize the customer journey and feed insights into product and marketing initiatives What You Bring Proven success in a quota-carrying B2B SaaS or AI sales role Experience managing complex sales cycles and closing high-value deals Hands-on experience with cold outbound — you've done it, you've seen it work, and you're not afraid of it Ability to translate technical products into clear business outcomes Creative, persistent, and curious approach to building pipeline and outreach A strong growth mindset Comfortable in fast-moving, ambiguous environments — you build as you go Enthusiasm for creator-oriented tools, especially in video, audio, or AI Knowledge of media creation workflows within organizations   The base salary range for this role is $100,000- $125,000/year and the compensation structure will follow a 50/50 base/variable split. Final offer amounts will carefully consider multiple factors, including prior experience, expertise, location, and may vary from the amount above. #LI-RemoteAbout Descript Descript is building a simple, intuitive, fully-powered editing tool for video and audio — an editing tool built for the age of AI. We are a team of 150 and the backing of some of the world's greatest investors (OpenAI, Andreessen Horowitz, Redpoint Ventures, Spark Capital).  Descript is the special company that's in possession of both product market fit and the raw materials (passionate user community, great product, large market) for growth, but is still early enough that each new employee has a measurable influence on the direction of the company. Benefits include a generous healthcare package, 401k matching program, catered lunches, and flexible vacation time. Our headquarters are located in the Mission District of San Francisco, CA. We're hiring for a mix of remote roles and hybrid roles.  For those who are remote, we have a handful of opportunities throughout the year for in person collaboration.  For our hybrid roles, we're flexible, and you're an adult—we don't expect or mandate that you're in the office every day. We do believe there are valuable and serendipitous moments of discovery and collaboration that come from working together in person.  Descript is an equal opportunity workplace—we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. We believe in actively building a team rich in diverse backgrounds, experiences, and opinions to better allow our employees, products, and community to thrive.  To apply: https://weworkremotely.com/remote-jobs/descript-account-executive

Headquarters: Remote - North America Why AssemblyAI AssemblyAI builds the best-in-class Voice AI models powering the next generation of voice applications. Our models serve 600M+ inference calls monthly, process 1M+ hours of audio daily, and power 2 billion+ end-user experiences. The Voice AI space is at an inflection point; we’re looking for folks truly excited to join a small team and help define the future of the industry. We are one of the most capital-efficient AI companies on the planet - with under 100 people generating roughly $600K ARR per employee, we sit among the top 5 most revenue-dense teams within the fastest-growing AI companies today. That's not an accident; it's a deliberate choice to stay lean, move fast, and give every person on the team outsized ownership and impact. With thousands of customers including Granola, Fireflies, Figure AI, and CallRail, the company has real scale - processing over 2 million hours of audio daily and handling more than 1 million API calls every day. This is a rare growth-stage opportunity where the business is proven and the trajectory is steep, but the team is still small enough that your fingerprints are on everything. If you've ever felt buried under layers of bureaucracy, starved of real ownership, or frustrated watching your work disappear into a slow-moving org, AssemblyAI is built differently. The company operates as a true meritocracy, with no heavy planning or approval processes and no gatekeeping on the tools or information you need. For anyone who genuinely cares about voice AI, not as a trend to chase, but as a technology to build,  this is the place where the most interesting problems at the most interesting scale are being solved by a team small enough that you'll actually know everyone's name. We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. No matter your race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply!About the Role We're hiring our first Senior GTM AI Engineer. This is a software engineering job inside the revenue org. You will build the pipelines, internal tools, and agents that decide which companies we go after, how we reach them, and what our sellers see when they open their laptop in the morning. Most of what a sales ops team used to do by hand is now something you can write software to do. Finding every company building voice AI before they contact us. Researching an account and drafting the first email. Watching product usage and telling an AE when a customer is about to expand or churn. Keeping the CRM clean without anyone filling in forms. You will build those systems, run them in production, and be judged on whether pipeline and revenue move. Your users are our AEs, SDRs, and GTM leaders. Your job is to make a small team perform like one three times its size. What You'll Do Write code every day. Python services, SQL models, scheduled jobs, and small internal apps are most of the job. You'll use Claude Code and similar tools to ship in days what used to take a quarter. Build agents that do the work: account research, lead qualification, outreach drafting, CRM hygiene, and usage monitoring. Design them, give them tools and data, evaluate their output, and keep them running. Turn product usage data in BigQuery and Looker into signals sellers act on: usage alerts, expansion triggers, and account health scores. Build the account targeting machine: sourcing, enrichment, dedupe, and ICP scoring, from raw data to a ranked list in a rep's queue. Integrate the systems the team already uses (our CRM, enrichment providers, outbound tools) so data moves between them without a human in the loop. Keep funnel data trustworthy: routing rules, field governance, and attribution. Prototype fast, measure what works, kill what doesn't, and work directly with Sales and Marketing leadership on what to build next. Document what you build so it keeps running without you. What You'll Need 4+ years as a software engineer, data engineer, or growth/GTM engineer, with time spent shipping systems that other people depend on. Strong Python and SQL. You have owned production automations end to end: APIs, webhooks, scheduled jobs, retries, error handling, and monitoring. Experience building with LLMs beyond a single prompt: multi-step agents, tool use, retrieval, and evaluation. You can tell whether an agent's output is good, and you know when a plain script is the better tool. AI-assisted development is how you work. You use Claude Code or similar tools daily, and you have the engineering judgment to review, test, and stand behind what they produce. Solid fundamentals: clean code, version control, code review, debugging, and a habit of thinking in systems. You do not need an engineering team to ship. Curiosity about how a sales org works. You don't need a RevOps background, but you need to care about how deals get found and closed, and be willing to learn our CRM and the tools around it quickly. A builder's mindset with an operator's judgment: you scope for business impact, ship iteratively, and measure results in pipeline and revenue. Low ego, high ownership, and comfort being the single-threaded owner of an entire domain. Nice to Have Hands-on Salesforce or other CRM work at the object and API level, or experience with enrichment and outbound tools like Clay. dbt, BigQuery, and Looker, or an equivalent warehouse and BI stack. Time at a developer-facing or API-first company, or selling to technical buyers. You've been the first engineer in a sales or growth org and built the function from scratch. Pay Transparency: AssemblyAI strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on paying competitively for our size, stage, and industry, and are one part of many compensation, benefit, and other reward opportunities we provide. There are many factors that go into salary determinations, including relevant experience, skill level, qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range. The provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range which will be communicated to candidates throughout the interview process. Salary range: $160,000 to $220,000AI to Interview: If you’re selected for an interview, please review this resource to better understand how AssemblyAI approaches the use of AI in our interview process. GDPR privacy notice: Candidates from the EU should review this job applicant privacy notice before applying.  Keep Exploring AssemblyAI: Speech-to-text | Streaming speech-to-text | Speech Understanding | LLM GatewayTry the PlaygroundOur $50M Series C fundraiseCheck us out on YouTube! To apply: https://weworkremotely.com/remote-jobs/assemblyai-senior-gtm-ai-engineer

Headquarters: -REMOTE, USA- For over 20 years, Smartsheet has empowered teams to manage work seamlessly and scale solutions smarter. Now, in our most ambitious chapter yet, we are uniting human teams with AI agents. By orchestrating the work agents do best, automating manual tasks and uncovering insights at scale, we create the space for people to focus on what truly matters: judgment, creativity, and big thinking. That is magic at work, and it’s what we show up for every day.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 and Entitlements, Billing and Monetization, Enterprise Systems Data, and AI & Automation. Product Managers in this team steward product strategy, roadmaps, business workflows, and long-term platform evolution across these domains, partnering closely with Engineering and business stakeholders to translate complex enterprise needs into scalable technology outcomes. As Group Product Manager – Corporate Systems, you will lead the Product Management function across Corporate Systems, managing and developing a team of Product Managers responsible for some of Smartsheet’s most critical internal technology domains. You will establish a cohesive product strategy across the portfolio, ensuring domain roadmaps connect to company priorities while identifying dependencies and opportunities that span traditional organizational and system boundaries. You will operate at both the strategic and execution levels: coaching Product Managers to develop strong product practices, partnering with Engineering leadership on portfolio strategy and investment decisions, and directly engaging in the most complex cross-functional initiatives. You will help evolve Corporate Systems from a collection of enterprise applications and projects into a product-led portfolio of platforms, capabilities, data, integrations, and employee experiences designed for long-term scale. You will report to the Senior Director of Corporate Systems and collaborate closely with Engineering leadership and senior stakeholders across Finance, People & Culture, Sales/GTM, Product Engineering, Data, Security, and other business functions. You Will: Lead, coach, and develop a team of Product Managers responsible for Financial Systems, People Systems, Sales & Entitlements, Billing & Monetization, Enterprise Systems Data, and AI & Automation Define and evolve the product-management operating model for Corporate Systems, establishing consistent practices for product discovery, customer problem definition, roadmap development, prioritization, requirements, metrics, and lifecycle management Establish a cohesive portfolio strategy that connects individual product domains to Corporate Systems and company-level objectives Partner with Engineering leadership to align product and technical strategy, ensuring investments balance new capabilities with platform health, reliability, scalability, security, technical debt, and operational sustainability Drive portfolio-level prioritization and investment decisions across competing business needs, helping teams focus capacity on the highest-value problems and outcomes Identify and manage dependencies across domains, particularly where business processes span Product, Sales, entitlements, billing, Finance, People systems, integrations, automation, and enterprise data Coach Product Managers to deeply understand their customers, business processes, systems, data flows, and technical constraints rather than operating primarily as requirements or project managers Raise the technical and systems fluency of the Product Management organization, enabling PMs to effectively partner with software engineers, architects, application engineers, Data teams, and Security Ensure product strategies and roadmaps are grounded in measurable customer and business outcomes, with clear success metrics and mechanisms for evaluating product health and value Create clarity across ambiguous or highly cross-functional initiatives where ownership, requirements, system boundaries, or desired outcomes are not immediately clear Partner with senior business leaders to understand strategic priorities and translate them into coherent technology capabilities and investment plans Lead product thinking for major cross-domain transformations such as new pricing and monetization models, enterprise AI adoption, ERP and billing modernization, enterprise data governance, and automation Establish mechanisms for portfolio planning, roadmap reviews, product health reviews, dependency management, and executive communication across Corporate Systems Ensure Product Managers balance stakeholder requests with longer-term product strategy, challenging solution-first requirements and identifying opportunities to simplify, standardize, automate, or eliminate processes Champion data-informed product management, including clear product KPIs, adoption measures, operational metrics, customer feedback, and outcome measurement Partner with Engineering leadership to improve how Product and Engineering teams work together from discovery and design through delivery, operational readiness, adoption, and continuous improvement Communicate portfolio strategy, investment decisions, progress, risks, dependencies, and tradeoffs clearly to senior leadership Build strong relationships across Product Engineering, Finance, People & Culture, Sales/GTM, Data, Security, and other functions, influencing outcomes across organizational boundaries without direct authority Support hiring, onboarding, performance management, career development, and capability building for the Corporate Systems Product Management team You Have: 10+ years of Product Management, Technical Product Management, Business Systems, or related experience, including significant ownership of complex enterprise or platform products 3+ years of experience leading, managing, or formally coaching Product Managers, with demonstrated ability to raise product-management capability and develop strong product leaders Experience owning or overseeing a portfolio of interconnected products, platforms, or enterprise systems rather than a single application or business process Strong product-management fundamentals, including customer discovery, problem definition, product strategy, roadmap development, prioritization, requirements, metrics, and outcome measurement Strong technical and systems fluency, with the ability to reason about APIs, integrations, data flows, system boundaries, platform architecture, automation, and enterprise application ecosystems Experience partnering closely with Engineering leadership to shape technical strategy, evaluate tradeoffs, and translate business needs into scalable platform capabilities Demonstrated ability to lead complex cross-functional initiatives spanning multiple systems, business functions, and technical teams Experience with enterprise platforms and business processes across areas such as Finance, Sales/GTM, HR/People, billing, monetization, data, or automation Ability to distinguish customer problems from requested solutions and coach teams and stakeholders toward simpler, higher-leverage outcomes Strong analytical skills and a data-driven approach to prioritization, product health, and investment decisions Experience operating in environments where reliability, security, compliance, data integrity, and operational continuity are important product considerations Ability to operate effectively across both strategy and execution, moving from long-term portfolio direction to detailed product or system discussions when needed Excellent verbal and written communication skills, including the ability to communicate complex technical and business concepts clearly to senior leadership Demonstrated ability to influence across organizational boundaries, navigate competing priorities, and create clarity in ambiguous environments Experience with SaaS business models, enterprise AI, usage-based monetization, enterprise data, or large-scale business-system transformation is a strong plus Bachelor’s degree in Business, Information Systems, Computer Science, or a related field — or equivalent practical experience. Advanced degree is a plus but not required.   Current US Perks & Benefits: Employer subsidized medical/vision and dental coverage for full-time employees 401k Match to help you save for your future (50% of your contribution up to the first 6% of your eligible pay) Monthly stipend to support your work and productivity Flexible Time Away Program, plus Sick Time Off US employees are automatically covered under Smartsheet-sponsored life insurance, short-term, and long-term disability plans US employees receive 12 paid holidays per year Up to 24 weeks of Parental Leave Personal paid Volunteer Day to support our community Opportunities for professional growth and development including access to Udemy online courses Company Funded Perks, including a counseling membership, local retail discounts, and your own personal Smartsheet account Teleworking options from any registered location in the U.S. (role specific) Smartsheet provides a competitive base salary range for roles that may be hired in different geographic areas we are licensed to operate our business from. Actual compensation is determined by several factors including, but not limited to, level of professional, educational experience, skills, and specific candidate location. In addition, this role will be eligible for a market competitive incentive opportunity.US Base Salary Pay Range$182,500—$240,000 USD  Get to Know Us: At Smartsheet, your ideas are heard, your potential is supported, and your contributions have real impact. You’ll have the freedom to explore, push boundaries, and grow beyond your role. We welcome diverse perspectives and nontraditional paths—because we know that impact comes from individuals who care deeply and challenge thoughtfully. When you’re doing work that stretches you, excites you, and connects you to something bigger, that’s magic at work. Let’s build what’s next, together. Equal Opportunity Employer: Smartsheet is an Equal Opportunity (EEO) employer committed to fostering an inclusive environment with the best employees. It is our policy to provide equal employment opportunities to all qualified applicants in accordance with applicable laws in the US, UK, Australia, Germany, Costa Rica, Japan, Bulgaria, India, and Singapore. All qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information.  If there are preparations we can make to help ensure you have a comfortable and positive interview experience, please let us know.   #LI-Remote To apply: https://weworkremotely.com/remote-jobs/smartsheet-group-product-manager-corporate-systems

Headquarters: -REMOTE, USA- For over 20 years, Smartsheet has empowered teams to manage work seamlessly and scale solutions smarter. Now, in our most ambitious chapter yet, we are uniting human teams with AI agents. By orchestrating the work agents do best, automating manual tasks and uncovering insights at scale, we create the space for people to focus on what truly matters: judgment, creativity, and big thinking. That is magic at work, and it’s what we show up for every day.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. Financial Systems Engineering owns and evolves the technology ecosystem that powers Smartsheet’s financial operations and monetization capabilities. The team is responsible for platforms including NetSuite, Coupa, Planful, Stripe, ZoneBilling, Metronome, and supporting technologies such as Avalara, along with the integrations, data, automation, and engineering capabilities that connect these platforms across the enterprise. As Director, Finance Systems & ERP, you will lead the engineering organization responsible for Smartsheet’s financial technology ecosystem and define the long-term technical strategy for how these platforms evolve. You will own the architecture, engineering maturity, technical health, and delivery of systems supporting core financial operations, procurement, planning, payments, billing, revenue processes, and emerging monetization models. This is a strategic and highly visible technology leadership role. You will lead major transformation initiatives including ERP modernization, billing transformation, and the evolution toward usage-based and consumption-based monetization. You will represent Corporate Systems in executive steering committees and major transformation programs, partnering closely with Finance, Accounting, Procurement, Product Engineering, Sales/GTM, Data, and other technology leaders. You will partner closely with Product Managers across Financial Systems and Billing & Monetization to combine business and product strategy with a forward-looking technical strategy. You will be expected to challenge legacy architectures and operating models, identify opportunities to simplify and automate financial processes, and determine how modern software engineering, enterprise data, automation, and AI can improve how Finance technology operates. You will report to the Senior Director of Corporate Systems and collaborate closely with Product and Engineering leaders across the organization. You Will: 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 responsible for platforms including NetSuite, Coupa, Planful, Stripe, ZoneBilling, Metronome, Avalara, and associated technologies Serve as the senior technology leader for NetSuite and ERP, ensuring the platform and surrounding architecture remain scalable, maintainable, secure, auditable, and aligned with the long-term needs of a complex SaaS business Provide technology leadership for major Finance transformation programs, including ERP reimplementation and modernization, establishing architecture, engineering standards, technical governance, delivery practices, and long-term platform direction Partner with Product Managers for Financial Systems and Billing & Monetization to translate product strategy and business priorities into technical roadmaps, architecture, investment decisions, and executable engineering plans Shape the technology architecture required to support evolving SaaS monetization models, including subscription, multi-year, usage-based, consumption-based, and AI-related pricing and billing models Partner across Product Engineering, Sales/GTM, Finance, and Corporate Systems to ensure pricing and packaging strategies can be represented reliably from quote and entitlement through provisioning, usage, billing, accounting, and revenue processes Establish clear architectural boundaries and systems of record across CRM, product, billing, ERP, payments, tax, planning, and downstream data platforms, reducing ambiguity, duplication, and unnecessary coupling Define the strategy for Finance systems data, including authoritative sources, data models, data contracts, quality, lineage, reconciliation, historical integrity, and reliable consumption by the enterprise data platform Partner closely with Data Engineering and Analytics teams to integrate Financial Systems with the enterprise data lake and ensure Finance data is timely, trustworthy, well-defined, and usable for financial reporting, operational analytics, reconciliation, and AI Drive stronger data quality and observability across Quote-to-Cash and Finance workflows, moving the organization from reactive reconciliation toward proactive detection and prevention of data integrity issues Establish an AI strategy for Financial Systems Engineering, identifying practical opportunities to improve engineering productivity, financial operations, controls, testing, support, reconciliation, and employee experiences Evaluate and introduce AI-assisted and agentic capabilities where appropriate, while ensuring financial integrity, security, auditability, human oversight, and appropriate controls for higher-risk processes Develop a strategy for automated testing and quality engineering across the Finance technology stack, including regression testing, integration testing, data validation, reconciliation, and AI-assisted test generation and analysis Establish modern engineering practices across enterprise platforms, including source control, peer review, CI/CD, environment management, automated testing, observability, documentation, release engineering, and operational readiness where supported by the underlying technologies Determine appropriate boundaries between native SaaS configuration, platform extensibility, APIs, integrations, automation, and custom software, avoiding unnecessary customization while enabling capabilities the business requires Partner with Integration Engineering to ensure critical Finance and Quote-to-Cash integrations use scalable patterns, explicit contracts, appropriate observability, resilient error handling, and well-defined operational ownership Own the technical health and lifecycle of the Financial Systems portfolio, proactively addressing architectural debt, platform limitations, fragile integrations, unnecessary customization, manual processes, and recurring operational problems Establish architecture reviews, technical standards, engineering metrics, platform health reviews, and other mechanisms that continuously improve the maturity of Financial Systems Engineering Represent Financial Systems Engineering on executive steering committees, transformation governance forums, and major program reviews, clearly communicating architecture decisions, delivery status, risks, dependencies, investment needs, and tradeoffs Provide technical leadership across implementation partners and strategic vendors, ensuring system integrators and software providers operate within Smartsheet’s architecture, engineering, security, and delivery expectations rather than allowing vendors to define the long-term architecture Partner with Finance leadership, Accounting, FP&A, Procurement, Tax, Revenue, and other stakeholders to understand business strategy while maintaining clear technology ownership of architecture and engineering decisions Balance delivery of major transformation programs with operational reliability, roadmap commitments, technical debt reduction, platform modernization, security, controls, and long-term engineering investments Build strong partnerships across Finance, Product Engineering, Sales/GTM, Data, Security, AI & Automation, and Corporate Systems to ensure Financial Systems operate as part of a coherent enterprise architecture Recruit, develop, and retain engineering talent with a combination of Finance platform expertise, software engineering capability, systems thinking, and curiosity about the future of financial technology You Have: 10+ years of progressively responsible experience across financial systems, enterprise application engineering, ERP, software engineering, systems architecture, or related technical disciplines 5+ years of experience leading technical teams, including experience managing managers, senior engineers, architects, or other technical leaders Deep experience with NetSuite or comparable enterprise ERP platforms, with sufficient technical depth to lead architecture, challenge implementation decisions, and establish long-term platform strategy Demonstrated experience leading a major ERP implementation, reimplementation, or transformation program from architecture and design through implementation, stabilization, and ongoing evolution Strong understanding of financial business processes including record-to-report, procure-to-pay, order-to-cash, billing, payments, financial planning, accounting, and revenue-related workflows Experience with financial platforms such as Coupa, Planful, Stripe, ZoneBilling, Metronome, Avalara, or comparable ERP, procurement, planning, payments, billing, tax, or monetization technologies Experience with SaaS billing and monetization architectures, including subscription and usage-based or consumption-based business models Strong systems thinking and the ability to reason across ERP, CRM, product, billing, payments, integrations, data platforms, APIs, automation, and financial controls as a connected architecture Demonstrated experience defining technical strategy and architecture, rather than solely managing enterprise application delivery, configuration, implementation partners, or support Experience designing or evolving enterprise data architecture, including systems of record, data models, interfaces, contracts, quality, reconciliation, governance, lineage, and downstream consumption Experience partnering with enterprise Data Engineering or Analytics organizations and integrating operational systems with platforms such as Databricks, Snowflake, or similar enterprise data technologies Experience establishing modern engineering practices within enterprise application environments, including automated testing, CI/CD, source control, observability, release management, documentation, and operational readiness Understanding of modern AI capabilities and the ability to identify practical applications of LLMs, agents, and intelligent automation while appropriately managing financial, security, and compliance risk Strong understanding of financial controls, auditability, security, data integrity, and compliance considerations associated with business-critical financial platforms Experience governing system integrators and technology vendors during large transformation programs, including the ability to challenge proposed architectures and hold partners accountable for engineering quality Experience partnering with Product Managers and senior business leaders to combine business strategy, product strategy, and technical strategy into coherent roadmaps and investment decisions Ability to operate comfortably from executive steering committee discussions to detailed architecture reviews, translating effectively between business executives, Finance leaders, Product Managers, engineers, architects, and implementation partners Demonstrated ability to challenge legacy processes and architectures constructively and lead organizations through significant technology and operating-model change Excellent analytical, verbal, and written communication skills, with demonstrated executive presence and the ability to communicate complex technology decisions, risks, and tradeoffs clearly Bachelor’s degree in Computer Science, Information Systems, Engineering, Finance, Business, or a related field - or equivalent practical experience Current US Perks & Benefits: Employer subsidized medical/vision and dental coverage for full-time employees 401k Match to help you save for your future (50% of your contribution up to the first 6% of your eligible pay) Monthly stipend to support your work and productivity Flexible Time Away Program, plus Sick Time Off US employees are automatically covered under Smartsheet-sponsored life insurance, short-term, and long-term disability plans US employees receive 12 paid holidays per year Up to 24 weeks of Parental Leave Personal paid Volunteer Day to support our community Opportunities for professional growth and development including access to Udemy online courses Company Funded Perks, including a counseling membership, local retail discounts, and your own personal Smartsheet account Teleworking options from any registered location in the U.S. (role specific) Smartsheet provides a competitive base salary range for roles that may be hired in different geographic areas we are licensed to operate our business from. Actual compensation is determined by several factors including, but not limited to, level of professional, educational experience, skills, and specific candidate location. In addition, this role will be eligible for a market competitive incentive opportunity.US Base Salary Pay Range$175,000—$290,000 USD  Get to Know Us: At Smartsheet, your ideas are heard, your potential is supported, and your contributions have real impact. You’ll have the freedom to explore, push boundaries, and grow beyond your role. We welcome diverse perspectives and nontraditional paths—because we know that impact comes from individuals who care deeply and challenge thoughtfully. When you’re doing work that stretches you, excites you, and connects you to something bigger, that’s magic at work. Let’s build what’s next, together. Equal Opportunity Employer: Smartsheet is an Equal Opportunity (EEO) employer committed to fostering an inclusive environment with the best employees. It is our policy to provide equal employment opportunities to all qualified applicants in accordance with applicable laws in the US, UK, Australia, Germany, Costa Rica, Japan, Bulgaria, India, and Singapore. All qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information.  If there are preparations we can make to help ensure you have a comfortable and positive interview experience, please let us know.   #LI-Remote To apply: https://weworkremotely.com/remote-jobs/smartsheet-director-finance-systems-erp