• 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.

Role Description Our partner is hiring a Growth Engineer (GTME) to sit at the intersection of growth, product, data, and engineering. This is not a lightweight ops or automation role. They are looking for someone genuinely technical who can build systems from scratch, turn growth and marketing data into actionable insight, and help improve discoverability, trust, and conversion across the user journey. Depending on background, this role may lean more toward data and analytics infrastructure or toward front-end experimentation and growth product work. In either case, the opportunity is highly cross-functional: - You will partner closely with marketing and engineering. - Influence how data is used to drive decisions. - Help shape how users discover and adopt a complex financial product. Responsibilities - Build and improve growth systems, tooling, and workflows from the ground up. - Translate marketing, user, and product data into clear, actionable insights for internal stakeholders. - Help develop data pipelines, experimentation infrastructure, and reporting that improve decision-making. - Partner with engineering and marketing to prioritize and execute growth initiatives. - Support initiatives related to onboarding, discoverability, trust, and conversion. - Contribute to API, SDK, or technical integration work where relevant. - Run and evaluate experiments across product surfaces, landing experiences, or user flows. - Help connect onchain or wallet-level activity with broader growth and go-to-market efforts where applicable. Qualifications - 3+ years of experience in growth engineering, product growth, data science, growth analytics, or a closely related technical role. - Strong technical ability; comfortable building, not just operating no-code tools. - Experience with consumer-facing fintech, trading, brokerage, payments, or similarly data-rich consumer products. - Strong understanding of how marketing and product data can be structured, analyzed, and applied. - Experience building or working with data pipelines, experimentation systems, or analytics infrastructure. - Ability to work cross-functionally across growth, product, and engineering teams. - Comfort working in a fast-paced startup environment with a high degree of ownership. - Exposure to crypto, digital assets, or onchain activity is a plus, but not required. - Experience with front-end experimentation, conversion optimization, or growth product work is a plus. - Experience connecting technical systems to go-to-market or user acquisition strategy is a plus.

• Research and development of software applications and core components for Windows and Linux systems for x86_64 based architectures, including services for: • Video and audio manipulation and compositing • Effect scheduling and triggering • Media encoding/decoding • Collaborate on projects with the architecture team • Work closely with other development team members in a dynamic, fast-paced, and inviting environment • Work with QA & technical support teams to resolve issues identified by internal testing & customers in the field • Perform self-directed and peer code reviews • Develop unit tests • Document, plan and break-down high-level feature requests into sprint-size tasks

Role Description Open.cx is the unified AI customer support platform automating 70%+ of interactions for enterprises like MoneyGram and Mollie. We are moving from a startup phase to a high-growth scale-up, and we need a financial architect to build the foundation for that growth. - Work horizontally across marketing, sales, solutions, and post-sales. - Understand how GTM work actually gets done today. - Design and ship internal tools, automations, systems, and micro-products that 10× the output of the GTM team. - Use AI, workflow design, and lightweight tooling to turn messy, high-volume information into clean, repeatable, measurable motion. If you’re successful, you’ll materially influence Open’s growth trajectory and play a central role in how we scale our GTM function. Your first major mission is to turn that raw GTM noise into a structured, compounding system that points to areas each person needs to focus on, that day, and makes marketing, sales, and solutions smarter with every interaction. Over time, you’ll expand your scope across: - Events and webinars - Account-based motions - Paid/owned channels - Product marketing - Partnerships - Sales playbook automation - Pipeline diagnostics and forecasting workflows Your focus: ensure every GTM contributor operates at their highest possible level. Qualifications - You’re a first principles thinker who loves to build. - You see chaos — tools, workflows, spreadsheets, disconnected signals — and your brain instantly starts drawing boxes and arrows. - You’re obsessed with new tools and frontier tech. - You experiment with AI agents, workflows, micro-apps, and integrations because you're curious, not because someone asked you to. - You’re fluent in data and comfortable being scrappy. - You care about outcomes, not output. - You’re a cross-functional glue. - You’re creative and unafraid to be wrong. Requirements - Full lifecycle ownership of internal “products” from discovery → spec → build → rollout → adoption → iteration. - Talk to internal users (AEs, SDRs, AMs, Marketing), look at usage data, and continually refine. - Build internal tools, automations, and micro-products using No-code / Low-code / Light Code Tools (Zapier, Make, N8n, Notion, Airtable, Supabase, Retool, Webflow, Scripts, AI Agents). - Ship systems that convert a single webinar or CIO interview into dozens of multichannel GTM assets. - Turn Gong calls into structured insights aligned to CPO initiatives, leakage categories, or ROI drivers. - Make it trivial to spin up repeatable ABM sequences, playbooks, and executive outreach. - Auto-surface account intel, usage signals, and deal blockers to AEs in real time. - Design systems that ingest customer conversations, PA/340B/Appeals workflow insights, content and messaging, campaign performance, pipeline and forecast signals, competitive notes. - Run experiments that move real numbers. - Prototype, instrument, and measure experiments that improve top-of-funnel reach, personalization and segmentation, speed to lead, conversion by stage, and rep productivity cycle time. - Define success and be accountable to real metrics. Benefits - Opportunity to influence Open's growth trajectory. - Work with a dynamic team across various functions. - Engage with cutting-edge tools and technologies. - Flexible work environment.