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Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls.From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of pr

Description Prop Firm Match Global FZCO is a leading platform for discovering, comparing, and selecting top proprietary trading firms. We provide traders with tools and features to easily compare challenge details, read verified reviews, see accurate payout data, and much more. We're a fast-moving, fully remote team with members from all around the world caring deeply about the quality of what we build. Our culture values ownership, clear communication, and practical impact over fluff. Whether you're a trader, technologist, marketer, or operator - your work here shapes how thousands of users find and trust prop firms. About the department Data & Analytics is the function that turns raw business data into decisions. We own the data platform, product analytics, marketing attribution, and revenue operations analytics. Our current priority is building reliable data infrastructure that supports both day-to-day reporting and the next wave of AI-driven workflows at PFM. About the role Partner with Product and Engineering to shape product decisions through measurement of user behaviour, funnel performance, feature impact, experimentation, and conversion. Turn product data into clear recommendations on what to build, improve, stop, or test next. Performance objectives Objective 1 - Own product analytics and KPIs Outcome: Clear, ongoing visibility into activation, engagement, conversion, retention, and feature adoption across the platform. Typical tasks: • Own analytics across onboarding, rankings, quizzes, comparisons, firm pages, and checkout flows., • Define and monitor product KPIs., • Maintain product dashboards used by Product, Engineering, and Leadership., • Investigate anomalies and surface trends weekly. Objective 2 - Build and maintain product funnels Outcome: Drop-off points are identified faster; the biggest conversion opportunities are surfaced and prioritised. Typical tasks: • Build product funnels end-to-end across the platform., • Identify friction points and quantify their impact., • Turn findings into prioritised recommendations for Product and Engineering., • Validate funnel improvements pre/post change. Objective 3 - Lead experimentation Outcome: Stronger experimentation culture; product decisions are validated rather than debated. Typical tasks: • Design, analyse, and document A/B tests., • Help build PFM's experimentation framework., • Quantify feature impact pre- and post-launch., • Train product and engineering teams on test design. Objective 4 - Communicate insights to drive decisions Outcome: Product, Engineering, and Leadership are aligned on shared evidence; high product-team satisfaction with insight quality. Typical tasks: • Produce product performance updates with strong visual storytelling., • Partner on roadmap prioritisation and launch measurement., • Define tracking requirements before features ship., • Present findings in product reviews and leadership forums. Reporting cadence • Reports to: Konstantinos Kattidis, Head of Data & Analytics., • Direct reports: None., • Key cross-functional partners: Product, Engineering, Leadership, Marketing., • Upward reporting cadence: Weekly 1:1 with Head of D&A; sprint-level product reviews; quarterly OKR review. Compensation $2,500–$4,500 / month gross Location & work setup • Remote, with strong overlap with CET hours (4+ hours of overlap)., • Working hours: roughly 9 AM – 6 PM CET, with reasonable flexibility., • Employment type: Full-time. Requirements What we look for Must have • 2+ years of experience as a Product Analyst or Data Analyst on a product team., • Strong SQL and product analytics tooling (PostHog, Amplitude, Mixpanel, or similar)., • Experimentation design and A/B testing experience., • Statistical thinking - comfortable with significance, power, segmentation., • Visual storytelling skills - can turn data into a clear narrative., • Excellent async written communication - we are remote-first. Nice to have • Prior experience in fintech, prop trading, or B2C SaaS., • Familiarity with attribution and funnel analytics at scale., • Experience defining and validating product hypotheses end-to-end., • Commercial mindset focused on outcomes, not just metrics. Benefits Hiring stages We keep our process simple, transparent, and respectful of your time. Here’s what to expect: 1. Application screening: We carefully review all applications to identify candidates whose background aligns with the role’s requirements. You’ll receive a timely and transparent update on your application status. 1. Video intro + role fit questionnaire: A short async step - no scheduling required. You'll record a brief video introduction and complete a written questionnaire. This helps us understand who you are, your relevant background, and how your experience aligns with the role without either side committing to a live call upfront. 1. Discovery HR Interview A conversation with our HR team focused on company and culture match. We'll walk you through how PFM works, what remote ownership looks like in practice, and what success in this role looks like. You'll have plenty of space to ask questions and share your goals. 1. Real-world task A scoped exercise using real PFM product data. Expect to work with user behavior, funnel metrics, or feature performance - the kind of challenges you'd actually encounter in this role. 1. A deep-dive Professional interview You will meet the Head of Data & Analytics at PFM to focus on your product analytics expertise - how you define and track metrics, interpret user data, and translate findings into decisions that shape the product roadmap. 1. Functional Interview A broader professional conversation exploring how you collaborate with product managers and designers, communicate insights to non-technical stakeholders, and approach ambiguous product questions with limited data. 1. Peer & values conversation A cross-team interview evaluated against PFM's structured values scorecard. You'll meet a peer and a bar raiser from outside the immediate team. If there's a strong mutual match, we start with an informal conversation to align on expectations, then follow up with a formal written offer. Full transparency throughout, and time for you to make an informed decision. Before applying take into account that: ▸ If you don’t meet every single qualification but believe you can excel in the role based on what it requires - we encourage you to apply. ▸ We are an equal opportunity employer and welcome applicants from all backgrounds, experiences, and perspectives. ▸ Even if it’s not listed as a formal requirement, we truly value candidates who have clear familiarity with the prop trading industry and us, our mission and what we do. Not the right fit for this role? If this role isn’t the right match but you have experience in trading operations, customer success, compliance, support, partnerships, or a related area - we still want to hear from you. Join our _and we’ll reach out when a relevant role opens. Every submission is reviewed, and the pool is always the first place we look before opening a new search.

Mission The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. About SIMBA Voice Agents by Speechify SIMBA lets companies deploy natural, human-sounding AI voice agents in 71+ languages with sub-second latency. We're growing fast and need the systems to match — which means building the outbound engine, sales infrastructure, and automation stack that fills pipeline and keeps it moving. About the Role We're hiring our first GTM Engineer for SIMBA. You'll build and own the technical systems that power our outbound motion — from lead enrichment and sequencing to CRM architecture and AI-powered personalization at scale. This is purely an infrastructure and systems role. You'll be the person behind the scenes making sure the right prospects get the right message at the right time, and that the Sales team has the tooling and data to close. If you've built outbound systems from scratch, live inside Clay and Apollo, and measure your work in pipeline influenced — read on. What You'll Do • Build and maintain SIMBA's outbound infrastructure — lead sourcing, enrichment pipelines, scoring models, and sequencing workflows that run at scale, • Own the GTM tech stack end-to-end: CRM (HubSpot/Salesforce), enrichment (Clay, Apollo, Clearbit), sequencing (Outreach, Instantly), and the glue between them, • Deploy AI agents for automated prospect research, personalized outreach generation, and follow-up workflows — reducing manual work for the Sales team, • Instrument the full top-of-funnel: track what's working, cut what isn't, and continuously optimize for meetings booked and pipeline created, • Build integrations and automations via APIs, webhooks, and tools like Zapier/Make to keep data clean and systems in sync, • Evaluate and adopt new AI and GTM tooling rapidly — be the team's resident expert on what's emerging and what's worth building on What We're Looking For • Solid experience in GTM engineering, growth engineering, or RevOps role with a heavy technical lean, • You've personally built outbound systems from scratch — enrichment pipelines, multi-step sequences, lead scoring — not just managed existing ones, • Deep hands-on experience with the modern GTM stack: Clay, Apollo, HubSpot or Salesforce, Outreach or Instantly, Zapier/Make, Webhooks, REST APIs, • You think in funnels and measure everything — pipeline influenced, reply rates, meeting conversion, and cost per opportunity are metrics you track obsessively, • You ship fast, keep things simple, and don't wait for permission Nice to Have • Experience building GTM systems for an AI, voice, or developer-tools product, • Familiarity with contact center, CX, or telephony buyer personas, • Background at a B2C company that also runs a B2B or API sales motion Why Speechify SIMBA Build a product that genuinely impresses prospects — sub-second latency and 71+ languages speaks for itself. You'll have high ownership with direct input on GTM strategy, work alongside a team that stays embedded with customers, and operate in a fast-moving environment where your systems have outsized impact. The United States Salary range for this role is - $105,000–$140,000 base salary. On-target earnings of $150,000–$200,000. Think you’re a good fit for this job? Tell us more about yourself and why you're interested in the role when you apply. And don’t forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit? Refer them! Speechify is committed to a diverse and inclusive workplace. Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Improve developer experience and internal tooling where it unlocks leverage. Software Engineer, with strong knowledge of major parts of our tech stack (AWS, Java, Typescript).

The mining industry has steadily become worse at finding new ore deposits, requiring >10X more capital to make discoveries compared to 30 years ago. The easy-to-find, near-surface deposits have largely been found, and the industry has chronically under-invested in new exploration technology, relying on the manual techniques of yesteryear – even as demand accelerates for copper, lithium, and other metals to build electric vehicles, renewable energy, and data centers. KoBold builds AI models for mineral exploration and deploys those models—alongside our novel sensors—to guide decisions on KoBold-owned-and-operated exploration programs. In the six years since founding, KoBold has become by far both the largest independent mineral exploration company and the largest exploration technology developer. Our data scientists and software engineers, who come from leading technology companies, jointly lead exploration programs with our renowned exploration geologists. KoBold has proven its first discovery with materially less capital than the industry average and found one of the best copper deposits ever discovered: the copper is far more concentrated than the global average of copper mines, and this asset alone is expected to generate meaningful revenue for decades. KoBold has a portfolio of more than 60 other projects, each of which has the potential for another high-quality discovery. KoBold is privately held; investors include institutional asset managers T. Rowe Price and Canada Pension Plan Investments; technology venture capitalists Andreessen Horowitz, Breakthrough Energy Ventures, BOND Capital, Durable Capital, StepStone, and Standard Investments; and natural resources companies Equinor, BHP, and Mitsubishi. KoBold’s IT function supports a globally distributed team of ~280 geoscientists, data scientists, and engineers working across North America, Zambia, the DRC, and field exploration sites around the world. As we scale, our IT needs are evolving rapidly—from reactive, break/fix helpdesk support toward proactive, automated IT operations that work seamlessly across geographies, including remote field sites with limited connectivity. This role includes but is not limited to, endpoint management, software procurement and renewals, identity and access administration, license optimization, vendor management, employee onboarding and offboarding, hardware lifecycle management, and IT training. You’ll lead a team of IT support staff, set technical direction, manage the annual software budget, and be the person who makes sure nothing falls through the cracks—renewals don’t expire, new hires have everything they need on day one, and the fleet is healthy and compliant. This is a player-coach role. You’ll spend meaningful time building and configuring systems yourself—writing Okta provisioning workflows, managing Jamf and Intune policies in Terraform, scripting automation for repetitive work—while also coaching and mentoring your direct reports, setting priorities, and raising the bar for what IT operations looks like at a fast-moving exploration technology company. Endpoint Management & Fleet Operations • Help build IT roadmap, setting technical direction for endpoint management, fleet automation, and IT operations across all KoBold offices and field sites in 10+ countries, • Design and implement zero-touch provisioning and automated reimaging workflows for macOS (Jamf) and Windows (Intune) endpoints, • Build endpoint monitoring, alerting, and fleet health dashboards to shift IT from reactive to proactive support, • Drive device lifecycle management including EoL/EoS tracking, hardware refresh planning, and inventory management across Jamf, Intune, CrowdStrike, and related tooling, • Create self-service application deployment and access workflows to reduce helpdesk volume and empower employees, • Apply DevOps principles to IT operations: configuration-as-code (e.g. managing Intune policies via Terraform), infrastructure automation, version-controlled policies, and repeatable processes, • Own internet reliability and network performance at all global remote KoBold sites Software Procurement, Licensing & Vendor Management • Manage the full software procurement lifecycle: new purchases, renewals, expansions, and cancellations, ensuring user access is never disrupted by lapsed licenses or last-minute renewals, • Own and drive execution of the annual software budget, including process improvements year-over-year and proactive renewal pipeline visibility for legal and finance, • Optimize license utilization across the SaaS portfolio—track usage, right-size seat counts, consolidate redundant tools, and negotiate pricing with vendors, • Coordinate with legal on contract review, working within the existing procurement process to move quickly on low-risk purchases while ensuring appropriate review for larger spend, • Onboard new SaaS applications with proper Okta integration (SSO, SCIM) before launch, and manage decommissioning of deprecated tools Identity, Access & Employee Lifecycle • Own Okta administration including SSO integrations, SCIM provisioning, group management, access request workflows, and lifecycle automation, • Manage Google Workspace administration, including license management, security settings, and break-glass super-admin governance, • Build automation for minimal-touch employee onboarding and offboarding—ensuring new hires are fully provisioned on day one and departing employees are cleanly deprovisioned, • Support AI tooling rollout (Claude Desktop, Claude Code, and related tools) across the endpoint fleet, including deployment, configuration, and employee training Team Leadership & Training • Supervise and mentor IT support staff, providing technical coaching, priority-setting, performance management, and career development, • Develop and maintain IT training programs for new hires and ongoing employee enablement, including documentation, video walkthroughs, and live onboarding sessions, • Provide helpdesk backup on high-volume days, modeling the standard of responsiveness and quality you expect from the team Cross-Functional Collaboration • Learn about mineral exploration by working closely with exploration teams, including time in the field in remote operations, • Collaborate with infrastructure engineering and security teams on cross-cutting initiatives including observability, access controls, endpoint security posture, and incident response, • Partner across the company to contribute to specification, vendor selection, and change management on new software requests, • Partner with finance on budget tracking, invoice approvals, and AFE submissions for software spend, • Work with legal to streamline the contract review pipeline, maintain lead times on renewals, and advocate for tiered review processes that match risk to effort, • Coordinate digitization efforts across the globe, ensuring consistent standards and tooling for converting physical records to digital archives at field and office sites, • 5+ years of experience in IT engineering, IT management, or a similar role combining hands-on technical depth with operational ownership, • Strong experience with MDM platforms, particularly Jamf (macOS) and Microsoft Intune (Windows), including policy configuration, automated enrollment, compliance enforcement, and ideally infrastructure-as-code approaches (e.g. Terraform), • Experience with identity and access management platforms (Okta strongly preferred), including SSO integration, SCIM provisioning, access request workflows, and lifecycle automation, • Experience managing software procurement and renewals: specification and change management, vendor negotiation, license optimization, renewal pipeline management, and budget ownership, • Hands-on experience building zero-touch provisioning, automated reimaging, and self-service deployment workflows, • Experience with endpoint monitoring and fleet management at scale, including remote/distributed environments, • People management or technical lead experience: demonstrated ability to coach, mentor, and grow IT staff while maintaining high execution standards, • Strong scripting skills (Python, Bash, PowerShell, or similar) for building automation and tooling, • Intellectually curious; eager to learn about the substance of mineral exploration and exploration technology, • Excellent communication and collaboration skills—comfortable working across disciplines with engineers, scientists, legal, finance, and leadership in a remote-first environment, • Proven ability to take ownership: you build the roadmap, do the research, implement the solution, write the documentation, and communicate the rollout, • Strong prioritization instincts—you can look at a long list of IT initiatives and distinguish what actually matters from nice-to-haves, and you can explain why, • Comfort with ambiguity and a dynamic work environment; eagerness to take on an evolving range of responsibilities at a fast-growing company, • Experience supporting global teams across multiple time zones is a strong plus, • Familiarity with Google Workspace administration, CrowdStrike, Datadog, or similar tooling is a plus What to Expect Joining KoBold means getting the opportunity for hands-on exposure to our exploration projects around the world. All employees are expected to travel to project sites, with a minimum of one week per year. Field-facing and technical roles spend significantly more time in the field. KoBold Metals is an equal opportunity workplace and an affirmative action employer. We are committed to equal employment opportunity for people of any race, color, ancestry, religion, sex, gender identity, sexual orientation, marital status, national origin, age, citizenship, disability, or veteran status. This position is full-time, exempt. The US base salary range for this full-time exempt position is $150,000 - $180,000 USD, plus equity and benefits including 401k matching. Location: KoBold is a remote-first workplace. We are open to candidates currently residing anywhere in the United States or Canada. CST or EST time zone preferred. All candidates must be legally authorized to work in the United States or Canada.

Who we are Samsara (NYSE: IOT) is the pioneer of the Connected Operations™ Cloud, which is a platform that enables organizations that depend on physical operations to harness Internet of Things (IoT) data to develop actionable insights and improve their operations. At Samsara, we are helping improve the safety, efficiency and sustainability of the physical operations that power our global economy. Representing more than 40% of global GDP, these industries are the infrastructure of our planet, including agriculture, construction, field services, transportation, and manufacturing — and we are excited to help digitally transform their operations at scale. Working at Samsara means you’ll help define the future of physical operations and be on a team that’s shaping an exciting array of product solutions, including Video-Based Safety, Vehicle Telematics, Apps and Driver Workflows, and Equipment Monitoring. As part of a recently public company, you’ll have the autonomy and support to make an impact as we build for the long term. About the role: Samsara’s Revenue Operations AI & Data Team is building the future of how we go to market — with intelligence, personalization, and speed. We’re a high-impact team of builders, scientists, and strategists focused on transforming sales operations through AI. Our mission is to help sellers reach the right customer at the right time with the right message — and to put everything they need at their fingertips, whether that’s data from Salesforce, context from a past call, or content that wins deals. As a Senior Software Engineer, AI Platform, you’ll lead the design and development of core platform capabilities that power Samsara’s next generation of AI-driven experiences. You’ll focus on building scalable, reliable systems that enable multi-step AI workflows, model execution, and integrations across products, rather than individual features. This role sits at the intersection of distributed systems and applied AI, where correctness, extensibility, and operational excellence matter as much as speed. You’ll partner closely with AI engineers, backend engineers, and cross-functional teams to shape shared execution patterns, define platform contracts, and evolve the foundations that support S+Engine and future AI use cases. You’ll be empowered to make architectural decisions, move fast on early iterations, and help turn emerging AI capabilities into a durable, production-grade platform that other teams can build on with confidence. This is a remote position open to candidates residing in the US except the San Francisco Bay Metro Area, NYC Metro Area, and Washington, D.C. Metro Area. You should apply if: • You want to impact the industries that run our world: Your efforts will result in real-world impact—helping to keep the lights on, get food into grocery stores, reduce emissions, and most importantly, ensure workers return home safely., • You are the architect of your own career: If you put in the work, this role won’t be your last at Samsara. We set up our employees for success and have built a culture that encourages rapid career development, countless opportunities to experiment and master your craft in a hyper growth environment., • You’re energized by our opportunity: The vision we have to digitize large sectors of the global economy requires your full focus and best efforts to bring forth creative, ambitious ideas for our customers., • You want to be with the best: At Samsara, we win together, celebrate together and support each other. You will be surrounded by a high-calibre team that will encourage you to do your best. In this role, you will: • Build and evolve core AI platform capabilities that enable teams to develop, run, and scale GenAI-powered applications across Samsara., • Design and implement shared execution patterns, APIs, and services that support multi-step AI workflows and system integrations., • Develop reliable, extensible backend systems that power AI-driven experiences used across the sales funnel and beyond., • Work hands-on across the stack, from backend services and execution infrastructure to integration with AI models and tooling., • Collaborate closely with AI engineers, data scientists, product partners, and sales operators to turn emerging AI use cases into production-ready platform capabilities. Minimum requirements for the role: • 6+ years of professional software engineering experience (excluding internships/contract roles), with a strong emphasis on building and operating large-scale, production backend or platform systems., • Hands-on experience building and operating GenAI-powered systems in production, including integration with large language models (LLMs) or similar AI services., • Experience designing or implementing GenAI workflows such as prompt orchestration, tool execution, routing, or multi-step reasoning pipelines., • Proven experience designing and implementing distributed systems that support multi-step execution, asynchronous workflows, and well-defined service contracts., • Strong proficiency in backend programming languages (e.g., Python, Java, Go, or similar) and experience building reliable services with clear input/output schemas., • Expert in Python and GenAI frameworks (e.g., LangChain, OpenAI SDK, MCP, etc.), • Familiarity with GenAI quality and safety considerations, such as validation of model outputs, structured responses, retries/fallbacks, and basic evaluation or monitoring approaches., • Strong product sense and ability to work in fast-paced, cross-functional environments., • Located in and authorized to work in the United States (this is a fully remote role). An ideal candidate also has: • Experience working on AI products in a sales, go-to-market, or revenue operations context., • Familiarity with enterprise tools like Salesforce, Gong, Outreach, or similar CRM/enablement platforms., • Experience integrating with vector databases, retrieval systems, or streaming voice/chat pipelines., • A track record of leading major technical initiatives or mentoring engineers in high-growth teams., • Exposure to infrastructure considerations such as cost optimization, model evaluation, observability, and latency management.

1Password is growing. We’ve surpassed $400M in ARR and we’re continuing to accelerate, earning a spot on the Forbes Cloud 100 for four years in a row and teaming up with iconic partners like Oracle Red Bull Racing. About 1Password At 1Password, we’re building the foundation for a safe, productive digital future. Our mission is to unleash employee productivity without compromising security by ensuring every identity is authentic, every application sign-in is secure, and every device is trusted. We innovated the market-leading enterprise password manager and pioneered Unified Access Management, a new cybersecurity category built for the way people and AI agents work today. As one of the most loved brands in cybersecurity, we take a human-centric approach in everything from product strategy to user experience. Over 180,000 businesses, from Fortune 100 leaders to the world’s most innovative AI companies, trust 1Password to help their teams securely adopt the SaaS and AI tools they need to do their best work. If you're excited about the opportunity to contribute to the digital safety of millions, to work alongside a team of curious, driven individuals, and to solve hard problems in a fast-paced, dynamic environment, then we want to hear from you. Come join us and help shape a safer, simpler digital future. About the team The Developer Experience Programs team shapes how engineers at 1Password work, and how engineers work shapes what 1Password ships. We run the programs, measurement, enablement, and cross-functional mechanisms that support developer experience across the software development lifecycle, and we build the feedback loops that help Engineering adopt new capabilities and continuously improve the speed and quality of delivery. The team sits within Engineering Operations and works closely with Platform Engineering, Security, IT, and Finance. Platform Engineering builds and owns the underlying developer tooling, data platforms, and AI workflow systems. DevEx Programs partners with them on the decision, rollout, enablement, and measurement work that help those investments land effectively across Engineering. The role As a Senior Business Program Manager, you will run the programs and mechanisms that turn developer experience signals into program priorities for engineering at 1Password. You will design and own how we measure developer experience and effectiveness, and you’ll translate those findings into clear program decisions, including developer tooling and our impact measurement strategies. The immediate priority is AI-accelerated software delivery, where demand is highest and traditional developer productivity measures are being tested by new tools and ways of working. This role is coming in at a formative stage: the team is new, foundational mechanisms are being stood up, and you’ll have a real opportunity to help shape how 1Password ships software. This IC role is for a strong cross-functional operator who can bring structure to ambiguous decisions, turn signals into clear recommendations, and help partners across Platform Engineering, Security, IT, and Finance move to better, faster program decisions. This is a remote opportunity within Canada and the US. What you will do: Translate developer experience signals into program priorities. Synthesize tooling data, measurement outputs, pilot results, and developer feedback into actionable insights. Bring those insights into portfolio planning, measurement reviews, and roadmap conversations with partner teams. Turn insights into clear recommendations on where to invest, expand, rationalize, or retire tools and related programs. Lead the developer experience measurement program. Own the day-to-day program leadership for 1Password’s developer experience measurement platform: coverage, data quality, reporting cadences, and how signals are used operationally. Partner with Platform Engineering on metrics platform priorities, instrumentation, and data integrity, while owning program structure, stakeholder alignment, and operating cadence. Build the operating mechanisms that make developer experience and tooling data useful for decision-making.⁠ Support investment and portfolio decisions with adoption reporting, usage analysis, and impact-oriented recommendations. Evolve the measurement model as software delivery changes, especially where traditional signals become less representative of AI-native work. Run developer tooling evaluation, pilots, and portfolio governance. Own intake, prioritization, and evaluation workflows for developer tools across the SDLC, with a near-term focus on AI tooling. Maintain the evaluation frameworks, decision criteria, and review mechanisms used to assess new tools and changes across the portfolio. Design and run structured pilots with clear hypotheses, baselines, success criteria, and decision points. Coordinate security review, integration approval, and related governance, including emerging integration patterns such as MCPs. Partner with IT, Finance, and Procurement on provisioning, licensing, renewals, and cost visibility across the portfolio. What success looks like: Engineering ships faster and with higher confidence because tooling decisions are streamlined and grounded in clear evaluation frameworks, pilots, and cross-functional input from Platform Engineering, Security, IT, Finance, and Procurement. The tooling portfolio is actively managed, with clear visibility into what to adopt, expand, rationalize, or retire. The developer experience measurement program is trusted and regularly used to guide investment and prioritization, with operating mechanisms that leaders and partner teams rely on. Investment recommendations are backed by a clear mix of adoption data, usage trends, developer feedback, pilot results, and measurement insights. The measurement model keeps pace with how software delivery is changing, especially around AI-native work. What we are looking for: 5+ years of experience leading complex cross-functional programs in a technical organization, especially where decisions are shared across multiple stakeholders. Background in developer experience, developer productivity, engineering effectiveness, internal platform programs, technical program management, or a related function. Familiarity with AI-accelerated development workflows, and an understanding of the tools, adoption patterns, and measurement challenges that come with them. Working familiarity with developer productivity and developer experience measurement frameworks (DORA, SPACE, DX Core 4, or similar), and a point of view on where they help and where they fall short. Ability to design evaluation frameworks, structure pilots, and turn mixed quantitative and qualitative inputs into clear recommendations. Strong judgment in ambiguous environments. You bring structure to messy inputs, clarify tradeoffs, and help teams move to decisions. Comfort partnering with engineering teams and technical leaders without needing to be an engineer yourself. Experience coordinating across partner functions such as Security, IT, Finance, or Procurement. Strong written and verbal communication, including executive-ready recommendations, pilot readouts, and concise decision-oriented summaries. Nice to have: Direct experience with AI developer tools such as coding assistants, code review tools, or agent frameworks. Hands-on experience with developer productivity measurement platforms or dashboards (e.g., DX, Jellyfish, LinearB, or in-house equivalents). Background in software engineering, engineering management, or technical program management. USA-based roles only: The annual base salary for this role is between $115,000 USD and $161,000 USD, plus immediate participation in 1Password's benefits program (health, dental, 401k and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. Canada-based roles only: The annual base salary for this role is between $101,000 CAD and $141,000 CAD, plus immediate participation in 1Password’s generous benefits program (health, dental, RRSP and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. At 1Password, we approach each individual's compensation with a promise of fair market value and internal equity commensurate with experience and specific skill set. This posting is for an existing vacancy. Our culture At 1Password, we prioritize collaboration, clear and transparent communication, receptiveness to feedback, and alignment with our core values: keep it simple, lead with honesty, and put people first. You’ll be part of a team that challenges the status quo, and is excited to experiment and iterate in search of the best solution. That said, _. Our work is demanding, we strive for excellence, and the pace is fast. We need people who are keen to take on challenging problems, who seek feedback to grow, and who are driven to make an impact. If you're looking for a place where you can settle into a comfortable routine, this might not be the right fit for you. We’re looking for individuals who are proven experts in their fields, as well as those who are highly adaptable, can thrive in ambiguity and through change, are curious, and above all deliver results. How we work with AI We are committed to leveraging cutting-edge technology—including AI—to achieve our mission. We also understand that thinking critically about AI in its current forms will help us create better solutions for our customers and ourselves with its future forms, which will help us continue to close the gap between security and privacy and achieve our mission. We want team members at all levels to take the approach of actively learning AI best practices, identifying opportunities to apply AI in meaningful ways, and driving innovative solutions in their daily work. Embracing the future of AI isn't just encouraged—it's an essential part of how we will be successful at 1Password. This approach extends to our hiring process—candidates are welcome to use AI tools responsibly and thoughtfully during the application process. Our approach to remote work We believe in the power of remote work, but recognize that in-person connection is important to help us achieve our mission. While we are a remote-first company, travel for in-person engagement is a part of almost all roles, and we require our employees to be ready and willing to take part. Frequency will depend on role and responsibilities, and may include, but is not limited to: annual department-wide offsites, team meetings, and customer/industry events. What we offer We believe in working hard, and rewarding that hard work through our benefits. While not an exhaustive list, here is a glance at what we currently offer: Health and wellbeing 👶 Maternity and parental leave top-up programs 🩺 Competitive health benefits 🏝 Generous PTO policy Growth and future 📈 RSU program for most employees 💸 Retirement matching program 🔑 Free 1Password account Community 🤝 Paid volunteer days 🏆 Peer-to-peer recognition through Bonusly 🌎 Remote-first work environment *Some roles in our GTM team are currently being hired for in-person hybrid work in Toronto and Austin. These roles will specify on the posting. You belong here. 1Password is proud to be an equal opportunity employer. We are committed to fostering an inclusive, diverse and equitable workplace that is built on trust, support and respect. We welcome all individuals and do not discriminate on the basis of gender identity and expression, race, ethnicity, disability, sexual orientation, colour, religion, creed, gender, national origin, age, marital status, pregnancy, sex, citizenship, education, languages spoken or veteran status. Be yourself, find your people and share the things you love. Accommodation is available upon request at any point during our recruitment process. If you require an accommodation, please speak to your talent acquisition partner or email us at nextbit@agilebits.com and we’ll work to meet your needs. Remote work is a part of our DNA. Given that our company was founded remotely in 2005, we can safely say we're experts at building remote culture. That said, remote work at 1Password does mean working from your home country. If you've got questions or concerns about this, your talent partner would be happy to address them with you. Successful applicants will be required to complete a background check that may consist of prior employment verification, reference checks, education confirmation, criminal background, publicly available social media, credit history, or other information, as permitted by local law. 1Password uses artificial intelligence (AI) and machine learning (ML) technologies, including natural language processing and predictive analytics, to assist in the initial screening of employment applications and improve our recruitment process. See for the latest third party bias audit information. If you prefer not to have your application assessed using AI/ML features, you may opt out by completing . For additional information see our _.

Mendix is a low-code app development platform: First, what is low-code? Low-code is a visual approach to software development that enables you to abstract and automate every step of the application lifecycle. Gartner predicts that “by 2024, low-code application development will be responsible for more than 65% of application development activity.” Mendix, the global leader in enterprise low-code, is fundamentally reinventing the way applications are built. The Mendix platform was created to promote collaboration between Business & IT teams so that an entire organization can participate in the application development process. With Mendix, thousands of forward-thinking companies around the world like Ford Auto, Zurich Insurance, Freshfields, and Red Bull, can unleash their best ideas quickly. Mendix is repeatedly ranked a Leader in analyst reports from Gartner and Forrester. In the 2021 Gartner® Magic Quadrant for Multiexperience Development Platforms, Mendix placed at the very top of the Leaders quadrant. Mendix is a Siemens Business: Siemens is a Top 10 Global Software Company and a leader on Fast Company’s Most Innovative Companies in the World! With the acquisition of Mendix in 2018, Siemens Digital Industries Software is driving transformation to enhance the digital enterprise where engineering, manufacturing and electronics meet the future of innovation. Mendix employees have the opportunity to work in a hyper-growth environment with the support of Siemens’ unbeatable legacy and resources. Location: Americas (Remote) – ideally east coast. Why this role, why now Mendix is the leading low-code platform, part of Siemens Digital Industries Software, powering enterprise application development at global scale. As we accelerate our SaaS transformation and expand our Specialized Sales motion in the Americas, we need a sharp operational mind to anchor the zone. This is a high-visibility, high-impact role at the intersection of revenue strategy, sales execution, and cross-functional leadership — reporting directly to the VP of Global GTM Operations. You will own the operating rhythm of a sizeable SaaS revenue business, lead a team of two, and be a trusted partner to the AMS Zone Sales Leader. If you thrive in complex, matrixed environments and want to make your mark on a business at a pivotal growth stage, this is the role. The Head of GTM Operations, Americas is the operational backbone of the Mendix & RapidMiner Specialized Sales organization in the Americas. You work in lockstep with the AMS Zone Sales Leader to drive scalability and predictability across the revenue engine — with a sharp focus on sales productivity, pipeline generation, and customer retention. This is a matrix role that demands both strategic clarity and operational precision. You will need to be equally comfortable presenting a zone P&L narrative to senior Siemens leadership and rolling up your sleeves to resolve a data quality issue in Salesforce. You manage two direct reports and report to the VP of Global GTM Operations. Zone Strategy & Sales Partnership • Serve as the strategic operations partner to the AMS Zone Sales Leader, translating global and zone-level goals into concrete, executable operational plans., • Co-own the AMS Management Operating Rhythm (MOR): weekly pipeline reviews, opportunity scrubs, Sales Manager syncs, and forecast calls., • Review, analyse, and improve current sales processes and procedures — proactively identifying friction points that slow pipeline velocity or distort reporting. Forecasting & Revenue Performance • Lead the AMS forecasting process end-to-end. Own the weekly forecast call with the AMS Zone Sales Leader and Sales Managers, ensuring accuracy, timeliness, and alignment with the global Siemens Software rhythm., • Maintain rolling forecast visibility that enables the Zone Sales Leader to call the number with confidence., • Own and drive performance on the key SaaS metrics for the zone: ARR, GRR, NRR, ACV Bookings, and OPEX. Finance Partnership & Zone P&L • Partner with GTM Finance to ensure zone performance is fully aligned with financial targets, contributing to a complete and accurate Zone P&L., • Translate pipeline data and attainment metrics into P&L-relevant narratives for senior leadership and corporate performance reviews., • Support the Zone Sales Leader in making commercial decisions grounded in P&L impact. Tooling, Data Quality & Process Excellence • Ensure Salesforce data quality, opportunity management standards, and quoting accuracy across the AMS sales team., • Identify and resolve operational friction points — process gaps, tooling issues, or data inconsistencies — that slow pipeline velocity or distort reporting., • Partner with the Global GTM Ops team to implement tooling and process improvements in the AMS zone, serving as the local implementation lead for global initiatives. Stakeholder Management & Cross-functional Alignment • Serve as the AMS GTM Ops point of contact for GSCS Zone Ops, Finance, Growth/Marketing, and Global GTM Ops., • Ensure AMS-specific insights and operational learnings flow into global conversations; translate global directives into effective local implementation., • Navigate the Siemens Software matrix organisation with confidence, balancing global compliance with zone-level agility. Team Leadership • Lead, develop, and mentor two direct reports within the AMS GTM Ops team., • Foster a high-performance, data-driven team culture with clear ownership and a bias toward action. Required • 6–12 years of progressive experience in Revenue Operations, Sales Operations, or GTM Operations within a SaaS or enterprise software environment., • Minimum 3 years in a regional or zone-level operations role with Americas scope (North America at minimum)., • Proven track record owning forecasting cadences and pipeline reporting for a substantial revenue organization ($50M+ ARR or equivalent)., • Demonstrated experience bridging Sales and Finance — translating pipeline data and attainment into P&L-relevant narratives for senior leadership., • Strong command of Salesforce (SFDC) for opportunity management, pipeline reporting, and data hygiene at scale., • Proficiency with enterprise forecasting tools (e.g. Clari or equivalent) and strong Excel/Google Sheets skills for financial modelling and scenario analysis., • Track record of managing or mentoring at least one direct report in an operations context., • Exceptional stakeholder management skills in matrixed, multi-geography organizations., • Fluent in English with outstanding written and verbal communication skills. Nice to Have • Experience with CPQ or configure-price-quote tooling in a SaaS sales context., • Familiarity with Specialized Sales motions (Mid-Market, SMB, product-led growth or free-trial funnels)., • Exposure to ARR, NRR, and GRR metric frameworks in a land-and-expand commercial model., • Experience operating within a large enterprise or corporate parent structure (e.g. a publicly listed company or conglomerate)., • Background in low-code, platform, or developer tooling markets., • Bachelor’s degree in Business, Finance, Economics, or a related field; MBA is a plus. You will love this role if you… • Own problems end-to-end and don’t wait to be asked, • Are as comfortable in a spreadsheet as in a leadership QBR, • Thrive in ambiguity and build structure where there is none, • Enjoy being the connective tissue across Sales, Finance, and Ops This role is not for you if… • You need a steady-state environment with clear playbooks, • You prefer deep specialisation over broad operational ownership, • You see cross-functional coordination as overhead, • You are uncomfortable presenting data-driven stories to senior leadership $160,000 - $200,000 a yearEqual Employment Opportunity StatementSiemens is an Equal Opportunity and Affirmative Action Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to their race, color, creed, religion, national origin, citizenship status, ancestry, sex, age, physical or mental disability unrelated to ability, marital status, family responsibilities, pregnancy, genetic information, sexual orientation, gender expression, gender identity, transgender, sex stereotyping, order of protection status, protected veteran or military status, or an unfavorable discharge from military service, and other categories protected by federal, state or local law. EEO is the LawApplicants and employees are protected under Federal law from discrimination. To learn more, . Pay Transparency Non-Discrimination ProvisionSiemens follows Executive Order 11246, including the Pay Transparency Nondiscrimination Provision. To learn more, . California Privacy NoticeCalifornia residents have the right to receive additional notices about their personal information. To learn more, click _. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Mission The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. About SIMBA Voice Agents by Speechify SIMBA lets companies deploy natural, human-sounding AI voice agents in 71+ languages with sub-second latency. We're growing fast and need the systems to match — which means building the outbound engine, sales infrastructure, and automation stack that fills pipeline and keeps it moving. About the Role We're hiring our first GTM Engineer for SIMBA. You'll build and own the technical systems that power our outbound motion — from lead enrichment and sequencing to CRM architecture and AI-powered personalization at scale. This is purely an infrastructure and systems role. You'll be the person behind the scenes making sure the right prospects get the right message at the right time, and that the Sales team has the tooling and data to close. If you've built outbound systems from scratch, live inside Clay and Apollo, and measure your work in pipeline influenced — read on. What You'll Do • Build and maintain SIMBA's outbound infrastructure — lead sourcing, enrichment pipelines, scoring models, and sequencing workflows that run at scale, • Own the GTM tech stack end-to-end: CRM (HubSpot/Salesforce), enrichment (Clay, Apollo, Clearbit), sequencing (Outreach, Instantly), and the glue between them, • Deploy AI agents for automated prospect research, personalized outreach generation, and follow-up workflows — reducing manual work for the Sales team, • Instrument the full top-of-funnel: track what's working, cut what isn't, and continuously optimize for meetings booked and pipeline created, • Build integrations and automations via APIs, webhooks, and tools like Zapier/Make to keep data clean and systems in sync, • Evaluate and adopt new AI and GTM tooling rapidly — be the team's resident expert on what's emerging and what's worth building on What We're Looking For • Solid experience in GTM engineering, growth engineering, or RevOps role with a heavy technical lean, • You've personally built outbound systems from scratch — enrichment pipelines, multi-step sequences, lead scoring — not just managed existing ones, • Deep hands-on experience with the modern GTM stack: Clay, Apollo, HubSpot or Salesforce, Outreach or Instantly, Zapier/Make, Webhooks, REST APIs, • You think in funnels and measure everything — pipeline influenced, reply rates, meeting conversion, and cost per opportunity are metrics you track obsessively, • You ship fast, keep things simple, and don't wait for permission Nice to Have • Experience building GTM systems for an AI, voice, or developer-tools product, • Familiarity with contact center, CX, or telephony buyer personas, • Background at a B2C company that also runs a B2B or API sales motion Why Speechify SIMBA Build a product that genuinely impresses prospects — sub-second latency and 71+ languages speaks for itself. You'll have high ownership with direct input on GTM strategy, work alongside a team that stays embedded with customers, and operate in a fast-moving environment where your systems have outsized impact. The United States Salary range for this role is - $105,000–$140,000 base salary. On-target earnings of $150,000–$200,000. Think you’re a good fit for this job? Tell us more about yourself and why you're interested in the role when you apply. And don’t forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit? Refer them! Speechify is committed to a diverse and inclusive workplace. Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Mission The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. About SIMBA Voice Agents by Speechify SIMBA lets companies deploy natural, human-sounding AI voice agents in 71+ languages with sub-second latency. We're growing fast and need the systems to match — which means building the outbound engine, sales infrastructure, and automation stack that fills pipeline and keeps it moving. About the Role We're hiring our first GTM Engineer for SIMBA. You'll build and own the technical systems that power our outbound motion — from lead enrichment and sequencing to CRM architecture and AI-powered personalization at scale. This is purely an infrastructure and systems role. You'll be the person behind the scenes making sure the right prospects get the right message at the right time, and that the Sales team has the tooling and data to close. If you've built outbound systems from scratch, live inside Clay and Apollo, and measure your work in pipeline influenced — read on. What You'll Do • Build and maintain SIMBA's outbound infrastructure — lead sourcing, enrichment pipelines, scoring models, and sequencing workflows that run at scale, • Own the GTM tech stack end-to-end: CRM (HubSpot/Salesforce), enrichment (Clay, Apollo, Clearbit), sequencing (Outreach, Instantly), and the glue between them, • Deploy AI agents for automated prospect research, personalized outreach generation, and follow-up workflows — reducing manual work for the Sales team, • Instrument the full top-of-funnel: track what's working, cut what isn't, and continuously optimize for meetings booked and pipeline created, • Build integrations and automations via APIs, webhooks, and tools like Zapier/Make to keep data clean and systems in sync, • Evaluate and adopt new AI and GTM tooling rapidly — be the team's resident expert on what's emerging and what's worth building on What We're Looking For • Solid experience in GTM engineering, growth engineering, or RevOps role with a heavy technical lean, • You've personally built outbound systems from scratch — enrichment pipelines, multi-step sequences, lead scoring — not just managed existing ones, • Deep hands-on experience with the modern GTM stack: Clay, Apollo, HubSpot or Salesforce, Outreach or Instantly, Zapier/Make, Webhooks, REST APIs, • You think in funnels and measure everything — pipeline influenced, reply rates, meeting conversion, and cost per opportunity are metrics you track obsessively, • You ship fast, keep things simple, and don't wait for permission Nice to Have • Experience building GTM systems for an AI, voice, or developer-tools product, • Familiarity with contact center, CX, or telephony buyer personas, • Background at a B2C company that also runs a B2B or API sales motion Why Speechify SIMBA Build a product that genuinely impresses prospects — sub-second latency and 71+ languages speaks for itself. You'll have high ownership with direct input on GTM strategy, work alongside a team that stays embedded with customers, and operate in a fast-moving environment where your systems have outsized impact. The United States Salary range for this role is - $105,000–$140,000 base salary. On-target earnings of $150,000–$200,000. Think you’re a good fit for this job? Tell us more about yourself and why you're interested in the role when you apply. And don’t forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit? Refer them! Speechify is committed to a diverse and inclusive workplace. Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

In this role, you will design, build, and own critical features within PrizePicks’ React Native mobile application — including developer experience and tooling, deployment pipelines and CI/CD workflows, large-scale refactors, and overall app health and performance. Deep React Native expertise ��

Gnosis is a community-run chain that is closely aligned with Ethereum’s values and community. We seek to build a chain that is credibly neutral and resilient, with nodes run by thousands of ordinary people across the globe. Gnosis continues to contribute to Ethereum’s growth as an experimental chain, where newcomers, quirky ideas, and indie projects are welcome. Gnosis is currently hiring for Core Devs who will contribute to both Ethereum and Gnosis. As a member of Ethereum’s Beaconverse, Gnosis runs the same execution and consensus clients at Ethereum, and contributes to the tooling, bug fixes, and funding of core development. We work directly with client teams like Nethermind and Erigon, and fund critical tooling for Ethereum clients. Working with Execution Layer clients teams (e.g. Nethermind, Geth, Erigon, Reth, etc) Working with Consensus Layer client teams (e.g. Lighthouse, Nimbus, Teku, Lodestar, Prysm, etc) Implementing EIPs that are in Gnosis’ roadmap Working with R&D teams to accelerate the experimentation of EIPs (e.g. Account Abstraction, 4844, state expiry) Triaging bug reports, implementing fixes and submitting upstream fixes to client teams Maintaining Gnosis client images and coordinating releases Maintaining Test Environments, Monitoring and Tooling Maintain critical infrastructure for the network (e.g. ethstats, forkmon, checkpoint sync) Maintain the Geth fork for Gnosis Chain Maintain the Reth plugin for Gnosis Chain General knowledge of the Ethereum protocol General knowledge of EVM bridges Experience in some low level language, either Go or Rust Curious and passionate Takes initiative to solve problems and make an impact Strong communicator who enjoys working with others [Plus] Core development experience [Plus] Experience with Execution Layer clients: Nethermind, Geth, Erigon, Besu, Reth [Plus] Experience with Consensus Layer clients: Lighthouse, Nimbus, Teku, Lodestar, Prysm • Personal Development: Pursue your professional goals with our support, including personal education budgets and conference allowances. We invest in your growth and learning., • Innovation and Experimentation: Interested in exploring new ideas? Dedicate your Friday afternoons to research or work on a side project within our ecosystem. We encourage creativity and experimentation., • Flat Hierarchy: Navigate with ease in our organization. Our flat hierarchy ensures your ideas and contributions are valued and heard, without getting lost in a complex structure., • Flexible and Remote Work: Not a morning person? No problem! We embrace flexible working schedules and have a long-standing culture of remote work. Balance your professional and personal life in a way that works for you., • State-of-the-Art Equipment: Receive the latest hardware and all the tools you need. We make sure you're well-equipped to do your best work., • Growth and Opportunity: Grow with us in an exciting industry. As Gnosis rapidly expands, so do the opportunities for you to make a significant impact. We value initiative and a proactive approach., • Inclusive and Diverse Culture: At Gnosis, we are committed to creating an inclusive environment that celebrates diversity. We believe our products and services are enhanced by a wide range of perspectives. All qualified applicants will receive consideration for employment without regard to race, ethnic origin, age, religion, belief, marital status, gender identification, sexual orientation, or physical ability., • Community and Mission: Join a team that's passionate about our mission and enjoys working together. We’re not just colleagues; we’re a community driven by a shared goal.How to Apply: Submit your resume in English and join us on this exciting journey. We are eager to see what you bring to the table and how you can contribute to our dynamic team. At Gnosis, we strive to create an inclusive environment that empowers our employees. We believe that our products and services benefit from our diverse backgrounds and experiences and are proud to be an equal opportunity employer: all qualified applicants are considered for positions regardless of race, ethnic origin, age, religion or belief, marital status, gender identification, sexual orientation, or physical ability.

We are seeking a Sr. Director, Offering Management to join our team in the London or our US offices. Lead the strategy and execution of a cloud-based quantum developer platform that enables developers, researchers, and enterprise users to build, simulate, and run quantum applications across hybrid classical–quantum environments. Drive adoption by simplifying quantum workflows, integrating with classical compute, and aligning platform capabilities with evolving quantum hardware roadmaps. Platform Strategy & Business Alignment • Define and continuously evolve a multi-year strategy for the developer platform, aligned with company-wide technology and business priorities. Prioritize platform features that unlock new offerings and enable our roadmap, • Identify key platform capabilities required to support future workloads, applications, and future generations of hardware, • Drive build vs. buy vs. partner decisions for platform components, • Establish and track key KPIs to measure platform adoption and developer productivity, • Translate emerging trends (AI, cloud-native, edge, etc) into actionable platform investments, • Translate platform capabilities into business impact, including revenue enablement, future market growth, and enablement of our roadmap, • Define monetization and packaging strategies where applicable (e.g., usage-based models, tiers), • Build business cases to justify large-scale infrastructure or platform investments Developer Experience (DX) • Own the end-to-end developer journey across multiple segments, and partner with customer support to continuously improve onboarding, documentation, tooling, debugging, and support, • Champion best practices for APIs, SDKs, documentation, templates/libraries, etc. for consistency, versioning, ease of use and intuitive workflows., • Encourage teams to become intimately knowledgeable about users and developers across multiple segments by promoting and reviewing user analytics, customer service tickets, user surveys, and direct engagement to understand points of friction, • Identify and remove the biggest sources of developer friction Platform Architecture and Technical Direction • Partner closely with engineering leaders to define scalable, resilient platform architectures, • Be a key member of the integrated product team, providing inputs on design tradeoffs involving scale, cost, and maintainability, • Be a spokesperson for our platform, both internally and externally, • Be the voice of the market and the developers to translate needs into product and capabilities requirements via a Market Requirements Document (MRD). Ecosystem & Growth Strategy • Team with customer support and ecosystem teams to design and execute a strategy to grow a vibrant developer ecosystem, • Provide inputs for continuous improvement on developer onboarding and education, communicate engagement and advocacy, and partner enablement and co-innovation., • Be innovative in identifying ways to drive platform adoption and stickiness through experience, value, and differentiation Execution & Operational Excellence • Establish operating rhythms for roadmap planning, task prioritization, and, • Foster close relationships with engineering, sales, user support, product teams across the full stack, finance, and legal., • Partner with program management to identify and track milestones and deliverables, • 15+ years in product/offering management for developer platforms, cloud services, HPC, or advanced compute systems, • Advanced Degree in Computer Science, Computer Engineering, Physics, or related field, • Prior experience in HPC or accelerator-based platforms, scientific computing or simulation environments, cloud-service provider computing platforms, • Prior experience or knowledge of quantum computing desired but not required., • Ability to bridge quantum computing, software engineering, and product strategy, • Proven track record influencing across research, engineering, and business teams, • Excellent written and spoken communication skills, a demonstrated capability of being a confident and easy communicator that can translate very technical concepts into understandable, relatable information across multiple audiences., • Experience managing a small but highly productive, global team with diverse product background. Experience influencing across an entire organization without having direct line-management relationships, • Experience balancing the player-coach aspect of the job, not being afraid to roll up your sleeves and take on projects while providing coaching and feedback to develop your team., • Comfortable navigating through ambiguity and finding solutions when there are seemingly conflicting and open-ended requirements and expectations, • High leadership EQ: able to handle stressful situations without becoming rattled or short tempered $260,000 - $325,000 a year Compensation & Benefits: Incentive Eligible – Range posted is inclusive of bonus target. The pay range for this role is $260,000 – $325,000 annually. Actual compensation within this range may vary based on the candidate’s skills, educational background, professional experience, and unique qualifications for the role. Quantinuum is the world leader in quantum computing. The company’s quantum systems deliver the highest performance across all industry benchmarks. Quantinuum’s over 650 employees, including 400+ scientists and engineers, across the US, UK, Germany, and Japan, are driving the quantum computing revolution. By uniting best-in-class software with high-fidelity hardware, our integrated full-stack approach is accelerating the path to practical quantum computing and scaling its impact across multiple industries. By joining Quantinuum, you’ll be at the forefront of this transformative revolution, shaping the future of quantum computing, pushing the limits of technology, and making the impossible possible. What’s in it for you?A competitive salary and innovative, game-changing workFlexible work scheduleEmployer subsidized health, dental, and vision insurance401(k) match for student loan repayment benefitEquity, 401k retirement savings plan + 12 Paid holidays and generous vacation + sick timePaid parental leaveEmployee discounts Quantinuum is an equal opportunity employer. You will be considered without regard to age, race, creed, color, national origin, ancestry, marital status, affectional or sexual orientation, gender identity or expression, disability, nationality, sex, or veteran status. _We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Since 2013, we’ve been building a CRM that gets out of your way and helps your team sell more, faster. Now we’re building AI into every part of it, so Close does the busywork and your team does the selling. No manual data entry, no 10-click workflows. Just communication-first, AI-powered sales software designed to help you succeed and scale. We're bootstrapped and profitable which means we answer to our customers and play by our rules. We're proud of our 120-person, 100% remote team, focused on building Close so that no small, scaling business fails because it can't figure out sales. Our backend consists primarily of Python Flask web apps with our scheduler handling many of the backend asynchronous task processing chores. Our data stores include MongoDB, PostgreSQL, Elasticsearch, and Redis. The underlying infrastructure runs on AWS using a combination of managed services like EKS, MSK, RDS and ElastiCache and non-managed services running on EC2 instances. We have CI/CD pipelines that build Docker images, run automated tests and deploy to Kubernetes clusters. We also use these images in our local development environment allowing coding locally against all of our services. We have a well-documented _ that is consumed by our front-end JavaScript app as well as numerous integrations. Our infrastructure is heavily automated using Terraform, Ansible and other AWS tools. We love open sourcing our code and ideas on and on , our behind-the-scenes Product & Engineering blog. Check out our open source projects like , , and . AI is both how we build and what we ship, and that's reshaped what engineering looks like. This is a transformation we’re embracing and find deeply exciting. Close runs on Python: Flask web apps, TaskTiger, billions of MongoDB documents, a public REST API that customers and external agents both build on. Four product teams ship features on top of that every week. Backend Platform owns the layer underneath them. The work is building for other engineers. When a product team adds a new API endpoint, most of what they write isn't their feature — it's wiring: authentication, permissions, rate limiting, the shape the endpoint has to take so it looks like every other endpoint when you squint. Multiply that across telemetry, eventing, database migrations, authorization, and local development, and you get the problem this team exists to solve: make the paved road faster to walk than the trail. The other half of the team's mandate is the AI development platform. We've built DevDawg, cloud-based development environments preconfigured for our entire application stack and our engineering practices, and Spice, our extension layer on top of a coding agent that runs internal review workflows and root cause analysis. Spice is hooked into GitHub and can already approve mergeable pull requests on its own for simple changes. Expanding what it can safely handle is squarely this team's work. This is a new team. You would be one of the first hires, and you'd have unusual influence over what the team owns and how it works. One thing to know up front: we do move people between teams as the work shifts. Most engineers here end up on more than one team over their time at Close — this team is where you'd start, but over time you'll likely have the opportunity to work on many different projects. This role is open at the Senior and Staff levels. You don't need to pick one when you apply: we'll calibrate together during the process. A seasoned Python engineer. Python is our backbone and it matters here more than on most teams — architectural patterns don't port cleanly between languages, and you'd be setting the patterns. Go, Rust, or TypeScript alongside it is welcome. Drawn to meta-problems. This team doesn't ship features to customers; it changes how features get built. You like reasoning one level up: what pattern should exist, what decision should nobody have to make twice, what should be impossible to get wrong. AI-native in production. You've shipped meaningful LLM-backed or agentic work to real users. For a team building AI tooling that other engineers depend on, this isn't a nice-to-have. Working with AI in your day-to-day. You use coding agents in your own workflow and have a real POV on where they help and where they get in the way — because here, that POV becomes the product. We fund best-in-class developer tools and treat experimentation as part of the work. Fluent in observability and production practice. Telemetry, metrics, tracing, alerting, Sentry ownership, what production-ready actually means. You've been the person who made a system legible when it broke. Opinionated about API design. You've shipped internet-facing APIs and you think about who's on the other end — apps, agents, humans reading docs — and what each needs. Battle-tested. You've debugged incidents where latency budgets didn't hold, owned a system everyone else relied on, or carried a pager for something with real customer impact. A builder first. You'd rather get a rough v1 in front of five engineers than spend three weeks on abstractions nobody asked for. Adoption is the measure, not elegance. Energized by internal customers. Your users sit in your Slack. You'll talk to them directly instead of through a PM, and you'll use most of what you build yourself. Expand DevDawg and Spice. Cloud development environments for our full stack, paired with automated review and root-cause tooling that can approve real pull requests. Making that safe enough to cover more of our review surface is one of the team's biggest single bets. Build the paved roads for our API layer. REST blueprints, GraphQL schema, OpenAPI, realtime, and the auth and permission plumbing that every endpoint needs. Consistent patterns are what make shared utilities possible in the first place. Modernize the backend framework layer. Web and async compute frameworks, performance, and migration paths (Flask → FastAPI, among others) — with clear defaults, examples, and migrations teams can adopt without asking permission. Own how we see production. Observability, metrics, alerting, and the readiness bar teams meet before shipping. When the same issues keep showing up in incident reviews, you make sure the underlying cause gets owned rather than re-triaged. Ship shared backend services and primitives. Eventing patterns and the event log, database-change safety and migration guardrails, delegated access and auditability, the internal admin framework and support-facing APIs. Set the guardrails for coding agents in our backend. Static analysis, linting, hooks, test harnesses — the constraints that make agent-written code safe to merge at volume. Partner across the org. Infrastructure owns the substrate (AWS, Kubernetes, datastores); you own the application layer on top. Tech you'll touch: Python, Flask, FastAPI, GraphQL, TaskTiger, Rust, Typescript, Kafka, Redis, MongoDB, PostgreSQL, Elasticsearch, Docker, Kubernetes, GitHub Actions — plus whatever coding agent ships next. Compensation: Competitive pay plus an organization-wide goal-based bonus Paid Time Off: ~5 weeks of PTO to start. Plus a 1-week all-company Winter Holiday Break and paid US holidays. You'll earn 2 extra days for every year you're with Close. 80% Work Option: Work with your manager to choose between a standard 5-day week or a 4-day week at 80% pay Parental Leave: Paid leave for primary and secondary caregivers Sabbatical: A 1-month paid sabbatical every 5 years with the team Healthcare (US residents): Two medical plans with Close covering 99% of your premium, plus Dental, Vision, HSA, FSA, and company-paid Long-Term Disability 401k (US residents): We match your contributions up to 6%, vested immediately Build a house you want to live in - Examine long-term thinking and action No BS - Practice transparency and honesty, especially when it’s hard Invest in each other - Build successful relationships with your coworkers and customers Discipline equals freedom - Keep your word to yourself and others Strive for greatness - Constantly challenge yourself and others Listen to our CEO and Founder, Steli Efti, tell the story of Close’s journey in the _. Watch _ from our 2023 team retreat in Milan. Every year our entire team gathers in person to build connection, foster cross-functional collaboration, and have fun. In 2027, we're headed to Dusseldorf, Germany! Explore our product. Check out a _! We ask a few role-specific questions as part of our application process. These questions are designed to help us learn more about you from the start, so please answer each one thoughtfully. We see this as an opportunity to get to know you beyond your resume. We use AI tools daily at Close and expect candidates to do the same. In evaluating your application, we aim to get a sense for you - the way you think, how you communicate, the work you've done. Applications that read as fully AI-generated will not be considered. Regardless of fit, you can expect to hear back from our team with an update on the status of your candidacy. If you progress to the interview process, you'll receive a full outline of the role-specific steps in your first touchpoint with us. We do our best to make the hiring process clear and human.

Application and Interview Impersonation Notice: Impersonating another individual when applying for employment, and/or participating in an interview process to assist another individual in obtaining employment, with Precisely Software Incorporated (“Precisely”) is unlawful. If Precisely identifies such fraudulent conduct, then as applicable and to the extent permitted by law, the application will be rejected, an offer (if made) will be rescinded, or the employment will be terminated, and legal action may be taken against the impersonators. Precisely is the leader in data integrity. We empower businesses to make more confident decisions based on trusted data through a unique combination of software, data enrichment products and strategic services. What does this mean to you? For starters, it means joining a company focused on delivering outstanding innovation and support that helps customers increase revenue, lower costs and reduce risk. In fact, Precisely powers better decisions for more than 12,000 global organizations, including 95 of the Fortune 100. Precisely's 2500 employees are unified by four company core values that are central to who we are and how we operate: Openness, Determination, Individuality, and Collaboration. We are committed to career development for our employees and offer opportunities for growth, learning and building community. With a "work from anywhere" culture, we celebrate diversity in a distributed environment with a presence in 30 countries as well as 20 offices in over 5 continents. Learn more about why it's an exciting time to join Precisely! Precisely is an AI-first organization. All employees are expected to demonstrate proficiency in applying AI tools to accelerate their work, improve output quality, and eliminate low-value tasks. Candidates should be comfortable using generative AI tools (e.g., Microsoft Copilot, ChatGPT) in their day-to-day workflows, able to evaluate AI-generated outputs critically, and open to continuously adopting new AI capabilities as they emerge. This position is 100% remote anywhere in the US Overview: We are seeking an experienced Principal Software Engineer with a strong background in Node to lead and contribute to the development of cutting-edge software solutions. The ideal candidate will possess extensive experience in software development, architecture, and team leadership. As a Principal Software Engineer, you will play a critical role in designing, developing, and maintaining high-performance SaaS applications, while also mentoring and guiding a team of engineers. What you will do: • Design and architect scalable, robust, and high-performance Node-based applications., • Ensure software solutions align with business objectives and meet performance, scalability, and reliability requirements., • Leads architecture for all components in an investment segment. May focus on one component but must have expertise across all components., • Responsible for design of systems in the investment segment., • Actively supports Product Manager in the Product Planning, business performance of one or more products., • Understand requirements that comes from stakeholders and helps turn them into consumable backlog items for the team., • Write clear, compelling, and detailed (technical) user epics and stories with user acceptance criteria. Participate in story grooming exercises for crisp and unambiguous documentation and communication of features to be developed., • Coordinate with appropriate architects to ensure tech decisions are made and implemented. Also Identifying business process improvements and opportunities for automation. What we are looking for: • 8-10+ years of industry experience in the areas of data engineering and product management., • Expertise in one or more programming languages (Node, Java)., • Bachelor’s Degree (or higher) in business or technical field., • Track record of Designing and developing of data products or software products., • Expertise in Node for backend development; familiarity with frontend scripting languages such as react will be a plus., • Expertise with databases, particularly Mongo Atlas, and developing/consuming REST APIs., • Exposure to cloud-native technologies including Docker, Kubernetes, Kafka, and microservices architecture is a must., • Basic understanding of agile and scrum methodologies is a must., • Experience of AWS/Azure/GCP, Redis, Security Domain, Datadog, Code fresh, hands on will be advantageous, • Working knowledge of data ETL will be preferred., • Ability to communicate with various stakeholders at all levels of the organization., • Excellent verbal and written communication skills., • Excellent interpersonal skills and active listener., • Able to set and meet time-sensitive goals., • Able to handle multiple tasks simultaneously and adapt to change while providing structure to operations and go-to-market teams. AI Skills/Knowledge: • Proficiency with AI-assisted coding tools (e.g., GitHub Copilot, Cursor, Amazon CodeWhisperer) to accelerate development velocity, • Experience using AI-powered code review agents to improve code quality and reduce review cycles, • Ability to critically evaluate and validate AI-generated code for correctness, security, and maintainability, • Familiarity with LLM APIs or agentic workflows, • Comfortable incorporating generative AI tools into daily engineering workflows (debugging, documentation, test generation) Preferred Skills: • Experience on git hub spec driven development, • Understands concept of constitutions and skills and agents MD, • Hands-on experience building or architecting agentic workflows and multi-step AI pipelines, • Experience with prompt engineering and fine-tuning strategies for developer productivity use cases, • Familiarity with AI observability and evaluation frameworks (e.g., LangSmith, Weights & Biases), • Exposure to Retrieval-Augmented Generation (RAG) patterns and vector database integrations, • Experience leading or mentoring teams in adopting AI tooling and best practices, • Knowledge of responsible AI principles — bias detection, model safety, and governance at the enterprise #LI-ZB1 The personal data that you provide as a part of this job application will be handled in accordance with relevant laws. For more information about how Precisely handles the personal data of job applicants, please see the _

Mission The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. About SIMBA Voice Agents by Speechify SIMBA lets companies deploy natural, human-sounding AI voice agents in 71+ languages with sub-second latency. We're growing fast and need the systems to match — which means building the outbound engine, sales infrastructure, and automation stack that fills pipeline and keeps it moving. About the Role We're hiring our first GTM Engineer for SIMBA. You'll build and own the technical systems that power our outbound motion — from lead enrichment and sequencing to CRM architecture and AI-powered personalization at scale. This is purely an infrastructure and systems role. You'll be the person behind the scenes making sure the right prospects get the right message at the right time, and that the Sales team has the tooling and data to close. If you've built outbound systems from scratch, live inside Clay and Apollo, and measure your work in pipeline influenced — read on. What You'll Do • Build and maintain SIMBA's outbound infrastructure — lead sourcing, enrichment pipelines, scoring models, and sequencing workflows that run at scale, • Own the GTM tech stack end-to-end: CRM (HubSpot/Salesforce), enrichment (Clay, Apollo, Clearbit), sequencing (Outreach, Instantly), and the glue between them, • Deploy AI agents for automated prospect research, personalized outreach generation, and follow-up workflows — reducing manual work for the Sales team, • Instrument the full top-of-funnel: track what's working, cut what isn't, and continuously optimize for meetings booked and pipeline created, • Build integrations and automations via APIs, webhooks, and tools like Zapier/Make to keep data clean and systems in sync, • Evaluate and adopt new AI and GTM tooling rapidly — be the team's resident expert on what's emerging and what's worth building on What We're Looking For • Solid experience in GTM engineering, growth engineering, or RevOps role with a heavy technical lean, • You've personally built outbound systems from scratch — enrichment pipelines, multi-step sequences, lead scoring — not just managed existing ones, • Deep hands-on experience with the modern GTM stack: Clay, Apollo, HubSpot or Salesforce, Outreach or Instantly, Zapier/Make, Webhooks, REST APIs, • You think in funnels and measure everything — pipeline influenced, reply rates, meeting conversion, and cost per opportunity are metrics you track obsessively, • You ship fast, keep things simple, and don't wait for permission Nice to Have • Experience building GTM systems for an AI, voice, or developer-tools product, • Familiarity with contact center, CX, or telephony buyer personas, • Background at a B2C company that also runs a B2B or API sales motion Why Speechify SIMBA Build a product that genuinely impresses prospects — sub-second latency and 71+ languages speaks for itself. You'll have high ownership with direct input on GTM strategy, work alongside a team that stays embedded with customers, and operate in a fast-moving environment where your systems have outsized impact. The United States Salary range for this role is - $105,000–$140,000 base salary. On-target earnings of $150,000–$200,000. Think you’re a good fit for this job? Tell us more about yourself and why you're interested in the role when you apply. And don’t forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit? Refer them! Speechify is committed to a diverse and inclusive workplace. Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Afresh, the AI platform for grocery, began by tackling the most complex problem in the industry: fresh, and has evolved into the core AI platform for grocers. By leveraging proprietary AI designed for high-volatility environments, we empower partners like Albertsons, Meijer, and Wakefern to drive smarter decisions across their entire enterprise. Following record-breaking 70% revenue growth in 2025, we have scaled to 6 enterprise-grade solutions, with solutions live in over 10% of the U.S. grocery market. Our platform now orchestrates billions of decisions from the store floor to the distribution center and prevented over 200 million pounds of food waste last year alone. If you're looking for a role where your work directly translates into massive scale and social good, and you want to be part of the team that defines how the world eats, there is no better time to join us. About the Role As a Staff Data Engineer, on the Distribution Center (DC) Solutions team, you’ll play a technical lead role in building and scaling the data integrations needed to support our suite of DC products. You will design and implement ETLs that reliably process large volumes of customer-provided data and build tools/improve the platform to make customer integrations faster, more accurate, and more scalable. Your work will have a direct and visible impact on our ability to onboard customers more easily and quickly and power our machine learning grocery solution. What You’ll Do • Engineering & Data Pipelines: Design, build, and optimize robust ETLs using PySpark and DBT to process large-scale customer datasets while developing tools and frameworks to streamline data integrations and improve scalability., • Technical Leadership & Strategy: Define the technical vision for DC data architecture, mentor engineers, and manage external contractors to ensure the team delivers high-quality, practical solutions for current and future needs., • Cross-functional Collaboration: Partner with product, engineering, and applied science teams to scope work and deliver data solutions that address real-world challenges in customer data quality and product feature requirements. What Makes You a Great Fit We encourage all highly-qualified candidates to apply, even if they don’t meet every listed qualification. • Significant experience designing and maintaining ETLs that process large-scale datasets., • Proficiency with Python, PySpark, SQL, and experience working on platforms/tools like Databricks, Snowflake, or DBT., • 2+ years experience in a technical lead role (e.g. Tech Lead or Engineering Manager), with a willingness to mentor and help others grow., • Strong problem-solving skills and the ability to work with ambiguous or incomplete requirements to deliver concrete, impactful solutions., • A focus on practical outcomes—you're skilled at balancing technical rigor with the need to get things done., • Experience working directly with complex, unclean datasets and finding innovative ways to process and analyze them., • A knack for identifying areas where tooling or automation can simplify workflows and reduce manual effort., • Excellent communication skills—you’re able to explain your ideas clearly to both technical and non-technical audiences. We’re looking for someone who thrives on tackling complex data problems and takes pride in building systems that work seamlessly at scale. If that sounds like you, we’d love to hear from you! This position is not eligible for immigration sponsorship Salary Range in US: $168K - $273K Why You’ll Love Working at Afresh At Afresh, our mission to eliminate food waste starts with investing in our people. We provide a comprehensive support system designed to help you do your best work while maintaining a healthy, balanced life. • Comprehensive Health & Wellness: Comprehensive medical, dental, and vision coverage for you and your family, with the majority of premiums covered by Afresh. We also provide dedicated mental health support and counseling services., • Invested in Your Future: Competitive base salary, meaningful equity (U.S. employees), and a 401(k) program with a generous company match., • Flexible & Modern Workspace: Whether you work from home or a local office, we support your setup with a home office stipend and "Coworking Wallets" for flexible workspace access., • Growth-Obsessed Culture: We believe in continuous learning. Every employee receives an annual professional development budget to master new skills and grow their career at Afresh., • Holistic Monthly Stipends: Beyond your paycheck, we provide monthly stipends for "Betterment" (wellness/lifestyle) and telecommunications to ensure you have what you need to thrive., • Time to Recharge: Flexible paid time off to take the time you need to recharge. *Full-time U.S. employees are eligible for these benefits About Afresh Founded in 2017, Afresh is using AI to tackle the #1 solution to curb climate change: reducing food waste. By building AI specifically for the intricacies of grocery—from the fresh perimeter to the center store—we help grocers minimize waste and maximize sales. Afresh sits at an incredible intersection of positive social impact, rocket ship financial growth, and cutting-edge technology. Our best-in-class AI research has been published in top journals, including ICML, and our investors include Al Gore’s Just Climate, former Whole Foods Market CEO Walter Robb, and Eric Schmidt's Innovation Endeavors. Grocery is the past, present, and future of our food system – the waste we create today will impact our planet for years to come. Join us as we continue to build a vibrant, diverse, and inclusive team that embodies our company’s values of proactivity, kindness, candor, and humility. Afresh provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity/expression, marital status, pregnancy or related condition, or any other basis protected by law. Here at Afresh, many of our employees work remotely provided that they reside in one of the following states: AL, AR, CA, CO, FL, GA, IL, KY, MA, MI, MT, MO, NV, NJ, NY, NC, OR, PA, TX, WA, UT, VA, WI.

Provide authoritative expertise on data engineering methods and best practices, including code first development approaches and modern pipeline design patterns. Stay current with emerging AI tooling relevant to data engineering and contribute to exploratory work evaluating automation and language mo

We're looking for a DevEx AI Engineer who sits at the intersection of platform engineering and AI-powered developer tooling. Run internal workshops, pairing sessions, and enablement programs to up-level engineers on prompt engineering, AI-assisted TDD, and autonomous code generation. At Qventus, we

Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls.From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of pr

Description Help Build the Platform Behind National Cyber Readiness Most training platforms are a checkbox and a progress bar. We're building something different. OpenDash 360 is UKi's next-generation training and workforce readiness platform that shows an organization exactly where its people stand against the work roles they're expected to perform, and then closes those gaps. We're hiring a Senior Full Stack Engineer to help build the next generation of our platform end to end. You'll work across the whole stack: the Angular and React interfaces leaders use to make decisions, the Express API layer behind them, the Postgres data model underneath, and the Kubernetes deployment path that gets it all in front of customers. You'll work with senior colleagues to set standards across that stack, from component architecture and typed API contracts to schema design, service boundaries, and delivery automation. About UKi Since 1999, Ultimate Knowledge Institute has set the standard for cybersecurity training and readiness for the Department of Defense, federal agencies, and Fortune 500 companies. Today we're delivering a platform that builds and demonstrates true workforce and work-role readiness. Our platform identifies individual expertise gaps and builds adaptive, custom training plans to close those gaps for Federal U.S. Government, Defense, Intelligence Community, State/Local, and commercial customers. You'll be joining a product engineering team that is expanding fast, with real users, real stakes, and wide latitude to define how our flagship platform gets built. What You'll Do • Build features end to end. Take work from requirement to production across the full stack: UI, API, data model, and deployment. You own the whole vertical slice, not a handoff at the API boundary. • Design and evolve our API layer. Build well-structured clear data contracts, sensible error handling, authentication and authorization, and typed interfaces shared with the front end. • Own the data model. Design Postgres schemas, write and tune queries, manage migrations, and make deliberate decisions about indexing, normalization, and performance as our data volumes grow. • Deliver rich, data-dense interfaces. Build the readiness dashboards, competency visualizations, adaptive learning paths, assessment flows, and administrative tooling that make the platform useful. • Set standards across the stack. Establish and enforce the patterns that keep a large application maintainable: module boundaries, state management, testing strategy, observability, and code review norms. • Engineer for performance. Own latency and throughput on the application backend, query efficiency in the database, and render performance, bundle size, and load behavior in the browser. • Ship continuously. Work inside our GitOps and CI/CD pipelines with ArgoCD-driven deployment to Kubernetes — small batches, fast feedback, automated tests, frequent deploys. • Partner across the org. Collaborate directly with product, design, platform, and customer-facing teams to turn ambiguous requirements into shipped software, and mentor engineers as the team grows. Requirements Required • 7+ years building and operating production web applications, with time in a senior or lead capacity on a complex, long-lived codebase. • Genuine full stack depth: You are equally comfortable debugging a slow query, restructuring a service, and fixing a rendering bug and you've shipped real features across all three. • Strong Node.js and Express experience: Router and middleware design, service layering, authentication and authorization, API versioning, error handling, and testing. • Deep Angular expertise (required): Modern Angular development including standalone components, signals or RxJS-based state, dependency injection, routing, lazy loading, and performance tuning in large applications. • React experience (strongly preferred): Hooks, modern rendering patterns, and component composition. We work across both frameworks and value engineers who move fluently between them. • Production PostgreSQL experience: Schema design, migrations, query optimization and execution plans, transactions, and indexing strategy. • Cloud native delivery experience: Containerized applications deployed to Kubernetes, with practical understanding of configuration, secrets, health checks, scaling, and troubleshooting a running workload. • Hands-on GitOps and CI/CD: ArgoCD (or Flux) driven deployment, Helm and/or Kustomize, and pipeline automation as a normal part of how you ship. • Architecture judgment: You've made and lived with decisions about service boundaries, data modeling, state management, build tooling, and dependency choices, and can explain the tradeoffs. • Testing and quality discipline: Unit, integration, and end-to-end testing as a normal part of shipping, not an afterthought. • Comfort with continuous delivery culture — small batches, fast feedback, blameless learning, and operational excellence. • A self-starter's bias for action: You see a gap in the product or the process, and you close it. You don't wait for a prescriptive task list. • Strong communication skills: You can defend an architecture decision to an engineer and explain the business impact to an executive. • Must be a US citizen authorized to work in the United States; role is US-remote. Nice to Have • Experience with AWS (GovCloud a plus), including networking, IAM, and managed database services. • Infrastructure-as-code experience with Terraform, Helm., • Observability and monitoring stacks (Prometheus, Grafana, OpenTelemetry, EFK) applied to real production debugging. • Event-driven or asynchronous processing patterns — queues, background jobs, scheduled workloads. • Design system or component library ownership at scale (Storybook, Angular Material, shadcn/ui, or a custom system). • Background in enterprise learning, training, LMS, assessment, or workforce analytics platforms., • Familiarity with SCORM/xAPI, SSO/SAML/OIDC, or role-based access control in multi-tenant products. • Experience delivering software into government, DoD, or otherwise regulated environments (FedRAMP, RMF, STIGs). • Hands-on use of AI coding tools (Claude Code, Copilot, Cursor) and interest in an agentic development workflow; our team is actively building one. Benefits • Comprehensive medical, dental, and vision coverage., • Short and long-term disability coverage for added security., • Basic life insurance provided by the company., • Optional supplementary life insurance policy available for additional coverage., • UKI covers 100% of individual premiums for medical, dental, vision, disability, and basic life insurance., • A 401k plan with a basic safe harbor matching (up to 4% match with a 5% contribution)., • Enjoy 15 days of PTO annually for vacation or sick leave., • Benefit from 12 company holidays, aligning with 11 federal holidays, plus Christmas Eve.

Description ClassWallet, a leading financial technology company in the United States, is seeking to hire a Senior AI Engineer to join our team. ClassWallet is a financial technology company serving agencies delegated responsibility to manage public funds. Agencies use ClassWallet to get public funds to the right people, and ensure the funds are used for the right purpose. ClassWallet’s suite of products and services empowers agency administrators to dramatically increase efficiency of funds distribution and spend compliance, reduce programmatic costs, maximize the full potential impact of the program, and satisfy the needs and expectations of policymakers, constituents and public reporting. ClassWallet has processed over $3.5 Billion to date and serves public agencies across 33 states. The Company has developed an industry-defining digital wallet solution which has gained rapid traction among state and local agencies and school districts across America. ClassWallet ranks as the 61st fastest growing software company on the prestigious Inc. 5000 list of fastest-growing private companies and the 21st fastest growing financial technology company on the Deloitte Technology Fast 500 in 2023. While the Company delivers immense business value, the social impact of ClassWallet is a fabric that runs through its mission and corporate culture. As a result of ClassWallet’s innovation, public programs run with exponentially more efficiency and the impact and breadth of the programs for the individuals they serve is dramatically higher. This mission compliments the Company mission-based culture with focus on gratitude and work-life balance. About the Role The Senior AI Engineer is the technical force multiplier behind ClassWallet’s AI transformation. Partnering directly with the Sr. Director, AI & Automation, you will design, build, and ship the AI agents, automations, and internal tools that accelerate how every team in the company gets work done — and you will selectively contribute AI capabilities into our customer-facing products. This is a hands-on, builder-first role. You will spend your days writing code, prototyping agents, embedding with business teams to understand their workflows, and turning ambiguous problems into shipped solutions that produce measurable results in days and weeks — not quarters. You’ll set the technical bar for how AI is built and operated at ClassWallet. If you light up at the idea of giving every employee a meaningful AI capability, watching teams transform their throughput, and occasionally putting that same craft into a product millions of dollars in public funds flow through, this is your role. What You’ll Do Build and Ship • Design, prototype, and deploy AI agents, LLM-powered workflows, and automations that measurably accelerate internal work across operations, finance, support, compliance, sales, and engineering, • Build production-grade integrations between AI systems and ClassWallet’s stack — CRM, support, finance, ops, and engineering tools, • Develop reusable components, prompt libraries, evaluation frameworks, and internal platforms so AI adoption scales across the company, • Contribute AI capabilities to customer-facing product features in partnership with Product & Engineering Embed and Translate • Sit alongside business teams to understand their workflows, identify high-leverage AI opportunities, and ship solutions to those teams directly, • Pair with non-technical employees to build, refine, and operationalize their own AI workflows, • Translate ambiguous business problems into concrete, shippable systems Set the Technical Bar • Make pragmatic choices across the AI stack: LLMs, RAG, agent frameworks, RPA, low-code automation, and traditional software engineering — picking the right tool for the job, • Establish standards for AI development at ClassWallet: code quality, evaluation, monitoring, prompt management, and cost control, • Stay ahead of a fast-moving field and bring relevant innovations into the company before they’re obvious Operate Responsibly • Partner with the Sr. Director, AI & Automation and Legal/Compliance on responsible AI practices, data privacy, and regulatory alignment appropriate to fintech and public-sector data, • Build evaluation and observability into AI systems so we know they are working, improving, and behaving as intended Requirements • 6+ years of professional software engineering experience, with 2+ years building AI/ML or LLM-based systems in production, • Strong proficiency in Python and modern AI development tooling — OpenAI, Anthropic Claude, LangChain/LangGraph, LlamaIndex, or comparable agent and RAG frameworks, • Demonstrated experience designing and shipping AI agents and LLM workflows that solved real business problems with measurable outcomes, • Working fluency with automation platforms (Zapier, n8n, Make, UiPath, or similar) and the judgment to choose between code and low-code for the job at hand, • Comfort with APIs, webhooks, and integrating across SaaS systems (Salesforce, HubSpot, Jira, Slack, Google Workspace, etc.), • Pragmatic engineering instincts — bias to ship, comfort with ambiguity, ability to deliver value quickly, • Strong communication skills; able to move fluently between executive stakeholders, business users, and engineers, • Based in the US and able to work effectively in a remote or hybrid setup, with periodic travel to HQ as needed Preferred • Experience in fintech, govtech, or other regulated industries, • Familiarity with vector databases, embeddings, evaluation frameworks (e.g., Ragas, OpenAI Evals), and AI observability tooling (e.g., LangSmith, Helicone, Langfuse), • Experience building internal AI platforms or developer tools that scaled across an organization, • Prior work shipping customer-facing AI features in a SaaS product, • Background in product engineering, data engineering, or applied ML, • A track record of coaching non-technical colleagues into productive AI users Benefits ClassWallet is a positive, family-oriented team environment. Our focus is on encouragement, positive reinforcement, and gratitude. We work hard and are highly motivated to win but with a healthy perspective on life. We offer an excellent salary and benefits commensurate with experience. ClassWallet.com is proud to be an Equal Opportunity Employer. Applicants are considered for all positions without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, marital or veteran status.

About CorityCority helps customers see and prevent risks across their operations in real time. Our EHS+ platform converges people, data, and AI agents to provide a clear view of information people can trust, automate workflows that make people more impactful, and deliver personalized insights and expertise to improve decision-making. While most solutions respond to risks one at a time, Cority helps prevent them across environmental management, employee health, safety, quality, and sustainability. For 40 years, Cority has been the market leader in EHS+, recognized by top analysts and trusted by more than 1,500 of the most complex organizations worldwide. Cority has received many awards for its strong employee culture and outstanding business performance. To learn more, visit _. The Role Cority is looking for a Senior Software Engineer to join one of our product engineering teams. This is a fully remote role open to candidates in the United States and Canada. Our engineering organization is a dynamic, fast-paced, and highly collaborative environment. We are looking for a passionate team player committed to the success of the collective group. The successful candidate will leverage strong technical skills to deliver immediate value while contributing to our long-term platform direction. The scope and ownership of this role will reflect your experience --we have meaningful work at a range of seniority, and we calibrate during the interview process. Reporting to a Development Manager, the Senior Software Engineer is responsible for designing, building, and enhancing Cority's software platform across one or more product streams, working closely with Product Owners and fellow engineers to deliver high-quality solutions. • Serve as a reliable technical expert in one or more areas of the codebase, making well-reasoned design decisions with appropriate trade-offs, • Own features and projects from requirements through technical design to production delivery, • Scope work into milestones with reasonable estimates and communicate early when timelines are at risk, • Debug complex issues across system boundaries and design for observability --logging, metrics, and alerting, • Proactively identify and address issues in the codebase or process, not just the work assigned to you, • Contribute to technical direction within your team and advocate for quality from the user's perspective, • Perform thorough, constructive code reviews and mentor engineers earlier in their careers, • Document your work and decisions so others can build on them, • Support Product Owners with domain expertise and help translate requirements into technical designs, • Handle ambiguity -- make progress when requirements are incomplete or evolving, • Design and deliver work that spans multiple system components, unblocking teammates and identifying risks to the broader team's delivery, • Shape technical standards, drive improvements to code quality and tooling, and communicate complex technical concepts clearly to non-technical stakeholders Core Qualifications • University degree in Computer Science or a related field, • 7+ years of professional software development experience, with increasing ownership of complex work over time, • Strong understanding of the full software development lifecycle, • Experience with Agile and Scrum methodologies, • Demonstrated ability to work effectively with remote, distributed teams Technical -- Must Have • Experience using AI-assisted development tools such as GitHub Copilot, Claude Code, or Cursor, • Proficiency with .NET Core, .NET Framework, Entity Framework/ Dapper, Web APis, and Microservices, • Experience building database applications with relational databases such as PostgreSQL and SQL Server, • Experience with Node.js, Angular or React, HTMLS, CSS, Typescript, JavaScript, and Python, • Solid understanding of CI/CD practices and pipelines Technical -- Nice to Have • Experience with LLMs, agentic frameworks, RAG, vector databases, or MCP servers, • Experience with NoSQL databases such as MongoDB, • Experience with AWS or Azure cloud platforms, • Experience designing or working within multi-tenant architectures, • Experience with message queues such as SQS, RabbitMQ, or Kafka, • Experience with Docker and containerized deployments Soft Skills • Genuine passion for technology and an ability to stay current with a rapidly evolving landscape, • A self-starter who challenges the status quo, asks "why" and "what if', and drives improvements without being asked, • Strong written and verbal communication skills -- you thrive on sharing and gaining knowledge, • Previous experience in occupational health, environment, safety, or sustainability is an asset WHAT’S IN IT FOR YOU? · An opportunity to work in a values-driven, performance oriented, dynamic and growth focused culture· We support a remote working environment with a one-time home office allowance and subsidized monthly internet allowance · Competitive health benefits, dental plans, and retirement savings plan (RRSP, 401K plan etc.)· Annual fitness allowance · Mental health support provided through access to Calm Premium meditation app and access to Talkspace · Access to Udemy, internal training programs, annual training allowance and certifications (if applicable), and High Talent Programs Cority is committed to a diverse and inclusive work environment. Cority is an equal opportunity employer and does not discriminate based on race, nationality, gender, gender identity, sexual orientation, protected veteran status, age, disability or any other legally protected status. For applicants who would like to request for accommodation please send an email to _.

Defense Unicorns seeks a Senior Software Engineer to work on our core products. You’ll collaborate closely with product managers, designers, and end users to ensure we’re building the right solutions—and building them well. The team enables Platform Engineers to securely build, deploy, and operate mission-critical applications in regulated and disconnected environments by providing the core platform and tooling that power UDS. As a Senior Software Engineer, you’ll operate at the intersection of product development and technical execution. You’ll lead the design, implementation, and deployment of features and systems that have direct impact on mission outcomes. • Work with engineers internal to the company, and within the open source community on feature and bug fix requests, • Proactively identify and resolve ambiguity in product requirements, • Comfortable in an asynchronous, all remote environment, • Actively participate in communities of practice via Slack and Github Issues, • Integrate software products with existing defense systems, ensuring seamless interoperability and adherence to security protocols, • Own architecture decisions and ensure technical quality across the engineering team, • Develop comprehensive documentation, including design specifications, user manuals, and maintenance guides, • Stay abreast of emerging technologies and industry trends to inform product enhancements and innovation., • Provide technical mentorship and elevate engineering standards across the team, • Influence product direction through deep understanding of user needs and system constraints, • Participates in a shared 24x7 on-call rotation, owning incident response, troubleshooting, and coordination to ensure reliable production systems Travel Expectations/Requirements: 5-15% The listed responsibilities are not exhaustive and additional responsibilities may be assigned based on the evolving needs of the organization. We are seeking a dynamic individual who is able to adapt and take on new responsibilities as they arise. • 5+ years (Senior) experience with software engineering, • Experience using Git and GitHub in collaborative environments, • Experience building and operating software products, • Proficiency in a modern programming language (Golang and/or TypeScript preferred), • Experience with infrastructure as code using OpenTofu or Terraform, • Strong understanding of system design, APIs, databases, and cloud architecture (e.g., AWS, Azure), • Ability to assess complex problems, propose pragmatic solutions, and drive them to completion, • Experience developing CLIs, Kubernetes Operators, and/or OpenTofu providers is a plus, • Familiar with Core Kubernetes Concepts including but not limited to Controllers, Operators, and CRDs, • Experience contributing to or collaborating with Open Source Projects (e.g., CNCF, ASF, OpenSSF) is a plus, • Strong communication and collaboration skills, comfortable conveying technical concepts to both technical and non-technical audiences, • Experience working proactively, managing time efficiently, and thriving in a vibrant remote work environment ✨ Don’t have all the preferred experience or qualifications? Studies show that underrepresented groups like women and people of color are less likely to apply to jobs if they don't meet every requirement listed. At Defense Unicorns, we're committed to diversity. If you're enthusiastic about the role but don't match every criteria, we encourage you to apply. You could be the perfect fit for this or another role! Defense Unicorns is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, disability, sex, sexual orientation, gender identity or expression, age, national origin, veteran status, genetic information, union status and/or beliefs, or any other characteristic protected by federal, state, or local law. Full compensation packages are based on candidate experience. Compensation ranges are established using national benchmarking data and apply across all geographic locations within the United States. Remote - USA $123,250 - $201,250 USD Defense Unicorns delivers mission value by streamlining software delivery so our customers can focus on the most important challenges. We share a vision of freedom and security for the advancement of progress and innovation. Our commitment to this vision, and to our mission-driven customers, means a commitment to speed, user experience and optionality, without compromising security. Our team is composed of innovators, software engineers, and veterans with decades of experience delivering technology programs across the federal market. We create and deliver secure solutions for continuous software integration and delivery. Defense Unicorns consolidates the best practices for security pipelines, testing, and deployment automation in order to meet the high security requirements valued by mission owners. Our solutions are agnostic by design and we believe that growing a robust ecosystem of secure, cloud-native software solutions can help enterprise customers inside and outside the federal market buy and integrate software more easily. Defense Unicorns’ customers are mission-focused leaders across public and private enterprises. We proudly support defense and civil agencies across the U.S. government and we work closely with the creators of leading-edge software solutions to deliver value to the mission-owner by improving the security and consumability of commercial software products. • Kubernetes, • Cloud Environments (AWS/GCP and Azure), • Infrastructure-as-code (like Terraform/Pulumi), • Continuous Delivery and automation tooling, • GitOps, • Containers, • CNCF projects and open source products and packages, • Helm/Kustomize-Value Stream Mapping, • Building and improving security delivery, • Building Kubernetes and cloud native applications Health: • Medical/Dental/Vision, • Premiums are 100% Company Paid, • Health Savings Account, • Life Insurance, • Disability Insurance Financial: • 401k Retirement Plan, • Company Stock Options, • Home Office Budget Leave: • We offer all full-time Unicorns Flexible Time Off (FTO) plus all Federal Holidays, one week for Thanksgiving, and two weeks for Christmas and New Year’s, • Paid Parental Leave Learning: • Reimbursement for approved trainings/subscriptions, • Conferences (travel, lodging, and fees) Don’t have all the preferred experience or qualifications? Studies show that underrepresented groups like women and people of color are less likely to apply to jobs if they don't meet every requirement listed. At Defense Unicorns, we're committed to diversity. If you're enthusiastic about the role but don't match every criteria, we encourage you to apply. You could be the perfect fit for this or another role! Defense Unicorns is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, disability, sex, sexual orientation, gender identity or expression, age, national origin, veteran status, genetic information, union status and/or beliefs, or any other characteristic protected by federal, state, or local law. _

Who We Are At Trility Consulting®, we’ve built a strong, remote-work culture where people thrive, grow, and support each other – earning us Great Place to Work® Certification. Headquartered in Central Iowa, we embrace flexible schedules and collaboration across geographically distributed teams serving clients from all corners of the United States and globally. We seek team members with the grit necessary to forge paths where none previously existed, to get back up when circumstances knock them down, to adapt to the changing needs of the client even when it is uncomfortable, and to deliver on our commitments. Candidates must respect and value people, recognize that over-communication is barely good enough, thrive on solving complex problems, have a passion for building teams, and know that delivering what a client actually values is more important than their own predispositions. They understand value proposition, love delivering value, and take pride in learning the expansive and ever-changing business of clients. Candidates are self-motivated and relentlessly working to become more today than they were yesterday. Trility Consulting is actively seeking a Senior Platform & AI Consultant who is an expert in the field and a powerhouse on the keyboard. In this role, you will partner with Trility clients to design, build, and enhance modern cloud-native applications and platform services. You will work across backend APIs, frontend user experiences, cloud infrastructure, CI/CD automation, and emerging AI-assisted development practices to deliver scalable, secure, and maintainable solutions. This position is ideal for a consultant who enjoys operating across the full technology stack, from application development and database design to infrastructure automation and deployment pipelines. The ideal candidate is equally comfortable building production software, improving developer experience, and leveraging AI tools to accelerate delivery. This is a remote position with 1099 and W2 options. • 5+ years of experience building and supporting production software applications, • Strong experience developing backend services using Node.js and/or Python, • Experience designing and implementing RESTful APIs in production environments, • Full-stack development experience with modern frontend frameworks such as React and TypeScript, • Strong experience with relational databases including PostgreSQL, MariaDB, SQL Server, or similar technologies, • Experience designing database schemas, implementing migrations, and optimizing application performance, • Hands-on experience building and supporting cloud-native solutions within AWS, • Experience with serverless and container-based architectures including services such as AWS Lambda, ECS, API Gateway, S3, Cognito, SNS, SES, and related cloud services, • Experience implementing Infrastructure as Code using Terraform, • Strong understanding of CI/CD practices, automated deployments, and modern source control workflows using GitHub and GitHub Actions, • Experience designing and maintaining automated testing strategies including unit, integration, and end-to-end testing, • Familiarity with observability, logging, monitoring, and troubleshooting distributed applications in production environments, • Experience building secure, scalable applications with an understanding of authentication, authorization, secrets management, and cloud security best practices, • Ability to work across multiple application domains, services, and shared codebases while maintaining high standards of software quality, • Experience working in agile software development environments using collaborative engineering practices such as pair programming, code reviews, and iterative delivery, • Interest in AI-assisted software development and experience leveraging tools such as Claude Code, GitHub Copilot, AI SDKs, automated code review tooling, or similar technologies to improve engineering productivity, • Excellent written and verbal communication skills with the ability to collaborate effectively with both technical and non-technical stakeholders, • Experience within financial services, insurance, fintech, or other regulated industries, • Experience implementing complex business rules, calculation engines, or financial processing systems, • Experience developing reusable Terraform modules and multi-environment deployment patterns, • Experience working with event-driven architectures, messaging systems, or real-time application patterns, • Experience building internal developer tooling, AI-powered workflows, or engineering productivity solutions How We Put You First Trility’s culture is built upon the journey, character, and work ethic of our team members. We are a team of honorable and professional lifelong learners who work together to solve problems proactively. • Work remotely anywhere in the United States with flexible work hours• Paid time-off, company holidays, and floating holidays• Comprehensive benefits with contributions toward premiums• 401(k) plan• Sponsored and supported learning opportunities Job Requirements • Must reside within the United States• Must be authorized to work in the United States without sponsorship now or in the future• Must be able to pass a background checkWe may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Who is Recruiting from Scratch: Recruiting from Scratch is a specialized talent firm dedicated to helping companies build exceptional teams. We partner closely with our clients to deeply understand their needs, then connect them with top-tier candidates who are not only highly skilled but also the right fit for the company’s culture and vision. Our mission is simple: place the best people in the right roles to drive long-term success for both clients and candidates._ Location: Remote (United States) Company Stage: Early-Stage / Profitable Healthcare Infrastructure Startup Office Type: Fully Remote Salary: $140K–$180K Base + Bonus We’re representing a profitable, fast-growing healthcare infrastructure startup building the data engine behind some of the largest healthcare systems in the world. Their platform helps healthcare organizations streamline procurement, master data management, and operational efficiency through large-scale data integration and automation systems. The company partners closely with hospitals, healthcare supply chain organizations, consulting firms, and enterprise customers to solve highly complex operational and data problems. With strong traction, profitability since inception, and rapid year-over-year growth, they are scaling their engineering team to support increasing customer demand and platform expansion. • Design, build, and maintain integrations between the platform and customer ERP systems, operational tools, and enterprise data sources, • Develop scalable backend systems and data pipelines that transform and reconcile large, messy datasets across healthcare environments, • Build tooling and automation systems that reduce onboarding time, implementation complexity, and operational overhead, • Partner directly with customer technical teams to scope requirements, troubleshoot issues, and deliver reliable integration solutions, • Help evolve the company’s integration architecture, reliability standards, and engineering best practices, • Own monitoring, alerting, reconciliation, and operational reliability for integration systems and services, • Contribute to CI/CD workflows, infrastructure tooling, and internal developer platforms supporting integration engineering, • Balance reusable platform capabilities with customer-specific customization needs in a pragmatic, scalable way, • Participate in architecture discussions, technical planning, code reviews, and mentorship across the engineering team, • 4+ years of software engineering experience, particularly focused on backend systems, integrations, or data-intensive applications, • Strong proficiency in Python and SQL, including experience working with large, operationally complex datasets, • Experience designing and maintaining ETL workflows, integration pipelines, or enterprise data systems, • Ability to work directly with customer technical stakeholders and translate ambiguous business requirements into reliable systems, • Strong communication skills and cross-functional collaboration abilities, • Comfortable operating in fast-moving startup environments with high ownership and autonomy, • Experience integrating with ERP systems or enterprise operational platforms, • Familiarity with AWS infrastructure and cloud-native backend systems, • Experience with infrastructure-as-code and modern CI/CD practices, • Experience building internal tools or lightweight frontend applications using React or TypeScript, • Exposure to healthcare technology, healthcare operations, or supply chain systems, • Familiarity with data quality, reconciliation, and master data management workflows, • Base salary: $140K–$180K, • Performance bonus: 10–20% of base salary, • Fully remote U.S.-based role with flexible collaboration culture, • 100% employer-covered health, dental, and vision insurance, • 401(k) matching program, • Flexible PTO policy, • Opportunity to work at a profitable, founder-led startup with strong market traction and growth, • High ownership engineering culture with meaningful customer and product impact, • Strong focus on autonomy, technical leadership, and long-term career growth within the company This role is ideal for engineers who enjoy solving complex, real-world data problems, working closely with customers, and building scalable integration systems that power enterprise workflows. Salary Range: $140,000-$180,000 base. _

Dave is a financial app on a mission to build products that level the financial playing field. It is redefining the financial landscape by leveraging technology to create an affordable, transparent, and user-centric access to liquidity for millions of Americans. As a leading innovator in the U.S. financial services sector, Dave’s digital financial platform offers products designed to meet the credit needs of those underserved by traditional financial institutions. Dave’s offerings include its flagship ExtraCash product, providing members up to $500 within minutes. The company is on track to launch several new product offerings in 2026, including a Buy Now Pay Later (BNPL) option. Dave is focused on serving Americans who are financially vulnerable or living paycheck to paycheck. Dave is leading the charge in creating a new era of credit products that prioritizes speed, affordability, and accessibility, making it the go-to financial partner for those who need it most. We’re looking for a Staff AI Acceleration Engineer to define the technical foundation for how AI agents are built, connected to data, and safely deployed across Dave. This is a highly influential individual contributor role focused on architecture, technical strategy, and platform design. You’ll establish the patterns, standards, and infrastructure that enable teams across the company to build trusted AI agents on governed data. Your work will shape Dave’s AI Agent Factory—the platform that makes AI development repeatable, secure, and scalable. You’ll partner closely with Data Engineering, which owns the trusted data platform, while you design the AI infrastructure that connects large language models to that data through robust governance, semantic consistency, and reusable developer tooling. Reports to: Director, Data Platform & AI Acceleration Define the architecture and technical strategy for Dave’s AI Agent Factory, including reusable frameworks, evaluation patterns, deployment standards, and observability. Design the MCP server architecture and AI-ready data access layer that enables LLMs to securely reason over governed enterprise data. Architect integrations between AI agents and Dave’s semantic layer so business definitions remain consistent across analytics, reporting, and AI experiences. Establish governance-by-design patterns for authentication, authorization, auditability, PII protection, and responsible AI deployment. Design evaluation frameworks that measure agent quality, reliability, and operational performance before production deployment. Partner across Engineering, Data, Security, and Product to establish technical standards that enable AI adoption across the organization. Your work will become the foundation every engineering team builds on as Dave scales AI across the business. By creating trusted infrastructure instead of one-off solutions, you’ll help accelerate development while ensuring AI systems remain reliable, secure, and aligned with our data platform. Bachelor’s degree or higher in Computer Science, Engineering, Mathematics, Information Systems, or a related technical field. 8+ years of experience in software engineering, platform engineering, data engineering, ML infrastructure, or AI engineering. Experience architecting and delivering production-grade AI platforms, LLM-powered applications, or autonomous agent systems. Deep experience designing systems that securely connect LLMs to structured enterprise data through APIs, semantic layers, retrieval systems, or governance frameworks. Experience designing MCP servers, function-calling frameworks, tool-use architectures, or similar AI connectivity patterns. Strong software engineering fundamentals with expertise building scalable, reliable distributed systems. Experience with modern data platforms and infrastructure including Snowflake, dbt, Airflow, Kafka, Python, Kubernetes, and cloud-native technologies. Experience establishing engineering standards for testing, monitoring, CI/CD, observability, and operational excellence. Demonstrated ability to influence technical direction across multiple teams without direct authority. Experience designing AI evaluation frameworks and automated quality measurement. Experience with semantic layer technologies such as dbt Metrics, LookML, or similar platforms. Experience building internal developer platforms adopted across engineering organizations. Experience within fintech, banking, healthcare, or other regulated industries. Experience with data lineage, governance, audit, or compliance automation systems. You enjoy solving platform problems that unlock leverage for the entire engineering organization. You think beyond individual features and design systems that remain scalable, understandable, and adaptable over time. You balance speed with long-term maintainability and make thoughtful architectural decisions that improve both developer experience and business outcomes. You’re comfortable working in areas that are still evolving, helping shape technical direction through collaboration, experimentation, and sound engineering judgment. You build strong partnerships across teams, welcome feedback, and understand that durable platforms are created through shared ownership rather than individual heroics. This role offers significant technical ownership and the opportunity to influence how AI is built across Dave. Priorities will evolve as AI capabilities mature, and you’ll help define the architecture that supports those changes. We value thoughtful decision-making, collaborative problem solving, and building systems that create lasting impact. Build the AI platform that powers the next generation of products and internal capabilities. Shape company-wide technical strategy for AI infrastructure and intelligent systems. Partner with experienced engineers across Data, Platform, Product, and Security. Help deliver AI solutions that improve how Dave serves millions of members. Join a profitable, growing public fintech where your technical decisions have company-wide impact. Ready to build for the underdog? Don’t let imposter syndrome get in the way of an incredible opportunity. We’re looking for people who can help us achieve our mission and vision, not just check off the boxes. If you’re excited about this role, we encourage you to apply. You may just be the right candidate for this or other roles. Why you’ll love working here: At Dave, our people are just as important as our product. Our culture reflects the values that guide who we are, how we work, and what we aspire to be. Daves are member-centric, helpful, transparent, persistent, and better together. We strive to create an environment where all Daves feel valued, heard, and empowered to do their best work. As a virtual-first company, team members can live and work anywhere in the United States, except Hawaii. A few of our benefits & perks: Opportunity to tackle tough challenges, learn and grow from fellow top talent, and help millions of people reach their personal financial goals Flexible hours and virtual-first work culture with a home office stipend Premium Medical, Dental, and Vision Insurance plans Generous paid parental and caregiver leave 401(k) savings plan with matching contributions Financial advisor and financial wellness support ️ Flexible PTO and generous company holidays, including Juneteenth and Winter Break All-company in-person events once or twice a year and virtual events throughout to connect with your team members and leadership team Dave Operating LLC is proud to be an Equal Employment Opportunity employer and is dedicated to cultivating a diverse and inclusive workplace. We will consider for employment all qualified applicants and do not discriminate on any basis protected by federal, state, or local law, including the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance relating to an applicant's criminal history. #LI-REMOTE

We are seeking a Senior Platform Engineer to join our Integrations Platform team. Our team owns the platform’s “edge” – our software agent that runs on customer machines and implements our technology powering their end-to-end workflows by integrating and collaborating with their engineering tools. Here at Istari, engineers work across the process and across the stack. Anyone can propose a feature, and engineers implementing a feature work with partners throughout the organization to take that feature from inception to customer production systems and usage. You'll work and coordinate with other teams across the full stack — deployment infrastructure to server code to SDKs to running agents and modules in the wild across a variety of operating systems and deployment targets. Our team produces tools for hardware engineers to drive their work and for software engineers to provide additional automation to support that work. It’s an ideal opportunity for someone who has a passion for both customer delight and API design. You’ll help us evolve the future of digital engineering by providing the tools our customers need to rapidly iterate as they build new technologies. In short – this is a high-autonomy role – we have guardrails you’ll need to respect, but you’ll have a lot of latitude within those guardrails to get things done and see them used right away. Lead the design and delivery of major features and projects within the Integrations Platform — SDKs, agents, job pipelines, and related services — carrying them from inception through customer production. Drive the evolution of the integration authoring experience, including AI-enabled workflows that scale how integrations are built and maintained. Champion reliability, scalability, and observability practices across the agent ecosystem and integrations lifecycle, and hold the features you build to that bar. Build developer tooling, packages, and libraries that reduce friction and accelerate integration development and adoption. Partner with product, platform, and customer success teams to translate customer needs into concrete technical designs for the features and projects you lead. Provide technical leadership and mentorship — raise the engineering bar through design reviews, architecture input, and hands-on guidance. Lead cross-functional initiatives spanning workflow orchestration, service scaling, and job orchestration. Evaluate and introduce emerging technologies and frameworks for integration authoring, automation, and platform capabilities. The list below describes a candidate who would be an ideal match on every dimension. If your background matches only some of these — not all — we'd still encourage you to apply if you think you can discharge the core responsibilities. 7+ years of professional software engineering experience, including significant time designing and scaling distributed systems, developer platforms, or integrations frameworks. Demonstrated experience owning the architecture of significant features or subsystems end-to-end — you've made the tradeoffs and lived with the consequences. Strong coding ability across backend services, SDKs, developer tooling, and agent-based systems. Specific language experience isn't crucial — our stack is primarily Python, with a growing share in Go, key components in Java and C#, and a TypeScript/React front end. Experience working on edge platforms — Windows especially, plus Linux (desktop and server) and macOS — including low-level platform and administrative considerations (permissions, services/daemons, packaging, filesystem quirks) unique to each OS. Experience working with multiple orchestration models for distributed systems (e.g., DAG-based schedulers, event-driven pipelines, actor systems, queue-based task workers) would be ideal. Hands-on familiarity with AI-assisted development or agentic workflow systems. Strong grounding in system reliability, security, and performance optimization for developer-facing platforms. A track record of technical leadership and mentorship — you've grown engineers and shaped practices within your team, not just shipped code. Excellent communication skills, with the ability to influence technical decisions across the teams you work with. Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent professional experience. Must be a US citizen or permanent resident living within the United States. We've built a team of what we call Wizards -- people who bring depth in their domain and range across others, who are collaborative without being deferential, and who genuinely care about what we're building. We celebrate individual contributions, give feedback early and often, and argue about ideas so we can execute together. There's no room here for hierarchy for its own sake, or for busywork that doesn't move the mission. We are outcomes-driven, and we hold each other to a high standard — with genuine respect for each person's expertise and wellbeing. Focus is rewarded. Finish is remembered. Facts are friendly. Even when they are not fun. Fellowship is fundamental. Make others successful. $145,000 - $190,000 a yearThe anticipated compensation range for this position may vary based on experience, skills, qualifications, location, and business needs. In addition to base salary, this role may be eligible for bonuses, equity, and a comprehensive benefits package.We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Mission The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. About SIMBA Voice Agents by Speechify SIMBA lets companies deploy natural, human-sounding AI voice agents in 71+ languages with sub-second latency. We're growing fast and need the systems to match — which means building the outbound engine, sales infrastructure, and automation stack that fills pipeline and keeps it moving. About the Role We're hiring our first GTM Engineer for SIMBA. You'll build and own the technical systems that power our outbound motion — from lead enrichment and sequencing to CRM architecture and AI-powered personalization at scale. This is purely an infrastructure and systems role. You'll be the person behind the scenes making sure the right prospects get the right message at the right time, and that the Sales team has the tooling and data to close. If you've built outbound systems from scratch, live inside Clay and Apollo, and measure your work in pipeline influenced — read on. What You'll Do • Build and maintain SIMBA's outbound infrastructure — lead sourcing, enrichment pipelines, scoring models, and sequencing workflows that run at scale, • Own the GTM tech stack end-to-end: CRM (HubSpot/Salesforce), enrichment (Clay, Apollo, Clearbit), sequencing (Outreach, Instantly), and the glue between them, • Deploy AI agents for automated prospect research, personalized outreach generation, and follow-up workflows — reducing manual work for the Sales team, • Instrument the full top-of-funnel: track what's working, cut what isn't, and continuously optimize for meetings booked and pipeline created, • Build integrations and automations via APIs, webhooks, and tools like Zapier/Make to keep data clean and systems in sync, • Evaluate and adopt new AI and GTM tooling rapidly — be the team's resident expert on what's emerging and what's worth building on What We're Looking For • Solid experience in GTM engineering, growth engineering, or RevOps role with a heavy technical lean, • You've personally built outbound systems from scratch — enrichment pipelines, multi-step sequences, lead scoring — not just managed existing ones, • Deep hands-on experience with the modern GTM stack: Clay, Apollo, HubSpot or Salesforce, Outreach or Instantly, Zapier/Make, Webhooks, REST APIs, • You think in funnels and measure everything — pipeline influenced, reply rates, meeting conversion, and cost per opportunity are metrics you track obsessively, • You ship fast, keep things simple, and don't wait for permission Nice to Have • Experience building GTM systems for an AI, voice, or developer-tools product, • Familiarity with contact center, CX, or telephony buyer personas, • Background at a B2C company that also runs a B2B or API sales motion Why Speechify SIMBA Build a product that genuinely impresses prospects — sub-second latency and 71+ languages speaks for itself. You'll have high ownership with direct input on GTM strategy, work alongside a team that stays embedded with customers, and operate in a fast-moving environment where your systems have outsized impact. The United States Salary range for this role is - $105,000–$140,000 base salary. On-target earnings of $150,000–$200,000. Think you’re a good fit for this job? Tell us more about yourself and why you're interested in the role when you apply. And don’t forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit? Refer them! Speechify is committed to a diverse and inclusive workplace. Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Mission The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. About SIMBA Voice Agents by Speechify SIMBA lets companies deploy natural, human-sounding AI voice agents in 71+ languages with sub-second latency. We're growing fast and need the systems to match — which means building the outbound engine, sales infrastructure, and automation stack that fills pipeline and keeps it moving. About the Role We're hiring our first GTM Engineer for SIMBA. You'll build and own the technical systems that power our outbound motion — from lead enrichment and sequencing to CRM architecture and AI-powered personalization at scale. This is purely an infrastructure and systems role. You'll be the person behind the scenes making sure the right prospects get the right message at the right time, and that the Sales team has the tooling and data to close. If you've built outbound systems from scratch, live inside Clay and Apollo, and measure your work in pipeline influenced — read on. What You'll Do • Build and maintain SIMBA's outbound infrastructure — lead sourcing, enrichment pipelines, scoring models, and sequencing workflows that run at scale, • Own the GTM tech stack end-to-end: CRM (HubSpot/Salesforce), enrichment (Clay, Apollo, Clearbit), sequencing (Outreach, Instantly), and the glue between them, • Deploy AI agents for automated prospect research, personalized outreach generation, and follow-up workflows — reducing manual work for the Sales team, • Instrument the full top-of-funnel: track what's working, cut what isn't, and continuously optimize for meetings booked and pipeline created, • Build integrations and automations via APIs, webhooks, and tools like Zapier/Make to keep data clean and systems in sync, • Evaluate and adopt new AI and GTM tooling rapidly — be the team's resident expert on what's emerging and what's worth building on What We're Looking For • Solid experience in GTM engineering, growth engineering, or RevOps role with a heavy technical lean, • You've personally built outbound systems from scratch — enrichment pipelines, multi-step sequences, lead scoring — not just managed existing ones, • Deep hands-on experience with the modern GTM stack: Clay, Apollo, HubSpot or Salesforce, Outreach or Instantly, Zapier/Make, Webhooks, REST APIs, • You think in funnels and measure everything — pipeline influenced, reply rates, meeting conversion, and cost per opportunity are metrics you track obsessively, • You ship fast, keep things simple, and don't wait for permission Nice to Have • Experience building GTM systems for an AI, voice, or developer-tools product, • Familiarity with contact center, CX, or telephony buyer personas, • Background at a B2C company that also runs a B2B or API sales motion Why Speechify SIMBA Build a product that genuinely impresses prospects — sub-second latency and 71+ languages speaks for itself. You'll have high ownership with direct input on GTM strategy, work alongside a team that stays embedded with customers, and operate in a fast-moving environment where your systems have outsized impact. The United States Salary range for this role is - $105,000–$140,000 base salary. On-target earnings of $150,000–$200,000. Think you’re a good fit for this job? Tell us more about yourself and why you're interested in the role when you apply. And don’t forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit? Refer them! Speechify is committed to a diverse and inclusive workplace. Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Description Who We Are Renew Home is on a mission to change how we power the world by making it easier for customers to save energy and money at home as part of the largest residential virtual power plant in North America. We partner with industry-leading brands to better manage residential energy for users by prioritizing efficiency, savings, and comfort — and cleaner energy for everyone. We are an Equal Opportunity employer striving to create a diverse, equitable, and inclusive work environment where everyone feels that they have a voice that is heard. We strongly encourage candidates to check out our website at _ to learn more about the world-changing work we are doing. Role Summary At Renew Home, we are embracing AI-assisted development as a core part of how we work — and we are looking for a Staff Engineer to lead that effort from the inside. This role will help define how our engineers interact with AI tools and agents, shape the standards and guardrails that make adoption safe and effective, and continuously improve the inner loop of software development: the daily experience of writing, building, testing, and iterating on code. You will be embedded directly within the application development teams, giving you firsthand exposure to their workflows and friction points. While other engineers across the organization already contribute meaningfully to DevX, you will bring dedicated ownership, drive prioritization, and serve as the primary point of accountability for making progress. You won't be starting from scratch, and you won't be working alone. The application engineering teams are your primary customers. Success here means earning their trust, understanding their daily workflows, and shipping improvements they notice and value. We want someone who brings expertise and fresh ideas, and who also knows how to build buy-in, incorporate feedback, and make durable change through iteration. This is a high-impact individual contributor role with meaningful technical leadership responsibility. You will act as a force multiplier across the engineering organization by mentoring engineers, incorporating feedback, influencing engineering culture, and helping shape how we work. What You Will Do • Lead the evolution of our AI Developer Experience, enabling engineers to safely and effectively leverage AI throughout the software development lifecycle., • Drive the evaluation, adoption and governance of AI development tooling (code generation, in-editor assistance, agentic workflows), ensuring that adoption is practical, secure and measurable., • Measure and improve the speed of common developer actions across our TypeScript/Node and Python codebases. This includes build times, pre-push hooks, linting, type checking, conformance checks, and Nx task orchestration., • Own our devcontainer strategy, both local and cloud-based, to ensure a secure, consistent and reproducible development experience that scales across multiple concurrent projects., • Maintain and improve local testing frameworks and developer-facing test infrastructure., • Own and evolve shared internal libraries and configuration systems used across application teams, ensuring they are well-documented, versioned, and easy to adopt., • Contribute to related areas including CI/CD and delivery pipelines, SDLC definition, language and library upgrade cycles (Node/Python, NPM, PyPI), developer onboarding and documentation, and observability. Requirements • 7+ years of software engineering experience, with meaningful time spent on developer tooling, platform engineering, or developer productivity., • Deep familiarity with TypeScript/Node and Python ecosystems — you know the package management landscape, common build tooling, and where things tend to break., • Experience with monorepo tooling (Nx or similar) and an intuition for how to make large codebases fast to work with., • Hands-on experience designing, configuring, and improving devcontainer-based development environments., • Practical experience evaluating and integrating AI development tools (GitHub Copilot, Claude, OpenAI, Cursor, Codex) including thinking carefully about standards and guardrails, not just rollout., • Strong listening, communication, and leadership skills — you seek out feedback from the engineers you serve and know when to lead and when to follow., • Bonuses:, • Experience with agentic development workflows, MCP (Model Context Protocol), tool orchestration, or AI workflow automation., • Experience relevant to AI security including designing secure execution environments, sandboxing, secrets management, or credential isolation for AI systems., • Experience with cloud-based or remote development environments. Benefits What You'll Get • A full-time position, with a competitive salary based on experience. The base salary for this role is $170k - $220k. In addition to base compensation, this role is eligible for a target annual bonus of 15% of base salary, and participation in long-term incentive programs tied to company growth and performance. We use market data and consider your job family, background, skills, experience, and U.S. work location to determine compensation within our established pay range., • Fully remote work environment with home office set-up allowance., • Real and lived work-life balance - Company perks include no pre-set vacation limits (with a top-down culture of taking meaningful PTO every year!), parental leave benefits, and a corporate value of working sustainably and putting families first., • Competitive benefits package that includes numerous health and wellness benefits., • 401(k) plan, with employer contributions to the same., • Opportunity to work with amazing people who are passionate about their mission, thriving in a fully-remote work environment, and learning and growing every day. At this time, Renew Home is unable to sponsor or take over sponsorship of employment visas. Candidates must be authorized to work in the United States without current or future immigration from the company, including training plans for foreign students. EQUAL OPPORTUNITY EMPLOYER Individuals seeking employment at Renew Home are considered without regard to race, color, religious creed, sex, gender identification, national origin, citizenship status, age, physical or mental disability, sexual orientation, marital, parental, veteran or military status, unfavorable military discharge, or any other status protected by applicable federal, state or local law. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Mission The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. About SIMBA Voice Agents by Speechify SIMBA lets companies deploy natural, human-sounding AI voice agents in 71+ languages with sub-second latency. We're growing fast and need the systems to match — which means building the outbound engine, sales infrastructure, and automation stack that fills pipeline and keeps it moving. About the Role We're hiring our first GTM Engineer for SIMBA. You'll build and own the technical systems that power our outbound motion — from lead enrichment and sequencing to CRM architecture and AI-powered personalization at scale. This is purely an infrastructure and systems role. You'll be the person behind the scenes making sure the right prospects get the right message at the right time, and that the Sales team has the tooling and data to close. If you've built outbound systems from scratch, live inside Clay and Apollo, and measure your work in pipeline influenced — read on. What You'll Do • Build and maintain SIMBA's outbound infrastructure — lead sourcing, enrichment pipelines, scoring models, and sequencing workflows that run at scale, • Own the GTM tech stack end-to-end: CRM (HubSpot/Salesforce), enrichment (Clay, Apollo, Clearbit), sequencing (Outreach, Instantly), and the glue between them, • Deploy AI agents for automated prospect research, personalized outreach generation, and follow-up workflows — reducing manual work for the Sales team, • Instrument the full top-of-funnel: track what's working, cut what isn't, and continuously optimize for meetings booked and pipeline created, • Build integrations and automations via APIs, webhooks, and tools like Zapier/Make to keep data clean and systems in sync, • Evaluate and adopt new AI and GTM tooling rapidly — be the team's resident expert on what's emerging and what's worth building on What We're Looking For • Solid experience in GTM engineering, growth engineering, or RevOps role with a heavy technical lean, • You've personally built outbound systems from scratch — enrichment pipelines, multi-step sequences, lead scoring — not just managed existing ones, • Deep hands-on experience with the modern GTM stack: Clay, Apollo, HubSpot or Salesforce, Outreach or Instantly, Zapier/Make, Webhooks, REST APIs, • You think in funnels and measure everything — pipeline influenced, reply rates, meeting conversion, and cost per opportunity are metrics you track obsessively, • You ship fast, keep things simple, and don't wait for permission Nice to Have • Experience building GTM systems for an AI, voice, or developer-tools product, • Familiarity with contact center, CX, or telephony buyer personas, • Background at a B2C company that also runs a B2B or API sales motion Why Speechify SIMBA Build a product that genuinely impresses prospects — sub-second latency and 71+ languages speaks for itself. You'll have high ownership with direct input on GTM strategy, work alongside a team that stays embedded with customers, and operate in a fast-moving environment where your systems have outsized impact. The United States Salary range for this role is - $105,000–$140,000 base salary. On-target earnings of $150,000–$200,000. Think you’re a good fit for this job? Tell us more about yourself and why you're interested in the role when you apply. And don’t forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit? Refer them! Speechify is committed to a diverse and inclusive workplace. Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Mission The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. About SIMBA Voice Agents by Speechify SIMBA lets companies deploy natural, human-sounding AI voice agents in 71+ languages with sub-second latency. We're growing fast and need the systems to match — which means building the outbound engine, sales infrastructure, and automation stack that fills pipeline and keeps it moving. About the Role We're hiring our first GTM Engineer for SIMBA. You'll build and own the technical systems that power our outbound motion — from lead enrichment and sequencing to CRM architecture and AI-powered personalization at scale. This is purely an infrastructure and systems role. You'll be the person behind the scenes making sure the right prospects get the right message at the right time, and that the Sales team has the tooling and data to close. If you've built outbound systems from scratch, live inside Clay and Apollo, and measure your work in pipeline influenced — read on. What You'll Do • Build and maintain SIMBA's outbound infrastructure — lead sourcing, enrichment pipelines, scoring models, and sequencing workflows that run at scale, • Own the GTM tech stack end-to-end: CRM (HubSpot/Salesforce), enrichment (Clay, Apollo, Clearbit), sequencing (Outreach, Instantly), and the glue between them, • Deploy AI agents for automated prospect research, personalized outreach generation, and follow-up workflows — reducing manual work for the Sales team, • Instrument the full top-of-funnel: track what's working, cut what isn't, and continuously optimize for meetings booked and pipeline created, • Build integrations and automations via APIs, webhooks, and tools like Zapier/Make to keep data clean and systems in sync, • Evaluate and adopt new AI and GTM tooling rapidly — be the team's resident expert on what's emerging and what's worth building on What We're Looking For • Solid experience in GTM engineering, growth engineering, or RevOps role with a heavy technical lean, • You've personally built outbound systems from scratch — enrichment pipelines, multi-step sequences, lead scoring — not just managed existing ones, • Deep hands-on experience with the modern GTM stack: Clay, Apollo, HubSpot or Salesforce, Outreach or Instantly, Zapier/Make, Webhooks, REST APIs, • You think in funnels and measure everything — pipeline influenced, reply rates, meeting conversion, and cost per opportunity are metrics you track obsessively, • You ship fast, keep things simple, and don't wait for permission Nice to Have • Experience building GTM systems for an AI, voice, or developer-tools product, • Familiarity with contact center, CX, or telephony buyer personas, • Background at a B2C company that also runs a B2B or API sales motion Why Speechify SIMBA Build a product that genuinely impresses prospects — sub-second latency and 71+ languages speaks for itself. You'll have high ownership with direct input on GTM strategy, work alongside a team that stays embedded with customers, and operate in a fast-moving environment where your systems have outsized impact. The United States Salary range for this role is - $105,000–$140,000 base salary. On-target earnings of $150,000–$200,000. Think you’re a good fit for this job? Tell us more about yourself and why you're interested in the role when you apply. And don’t forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit? Refer them! Speechify is committed to a diverse and inclusive workplace. Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

At _, we build and use automation every day to make work more efficient, creative, and human. So if you’re using AI tools while applying here - that’s great! We just ask that you use them responsibly and transparently. Check out our guidance on _, including how to use AI tools like ChatGPT, Claude, Gemini, or others during our hiring process - and when not to. Job Posted: July 10th, 2026 Location: NAMER As Zapier expands into the enterprise market and accelerates AI-driven development, incident management is a front-line function for customer trust and operational reliability. The Incident Operations Specialist role is the engine that keeps the day-to-day operation of Zapier's incident program running — reliably, visibly, and at scale. You'll report to the Incident Program Manager and operate under their direction, owning the execution of the systems, workflows, and tooling that power incident response across Zapier. You are the person in the operations center: you keep things moving, you surface what's broken, and you use AI to build automation that lets a small team operate like a much larger one. This isn't a pure engineering role; it's an ops role with technical depth. The right person thinks in systems, writes automation to scale their own work. They use AI as a default, build repeatable workflows, and leave things more reliable than they found them. The role is particularly exciting because decisions here ripple across Zapier, shaping how we manage a key process that involves the whole company. _ _ _ _ _ You run operations with precision. You keep complex systems running. You understand how incident tooling (_, PagerDuty, observability, integrations, Slack workflows) plugs together, you notice when something breaks before anyone else does, and you fix it. Configuration, routing, escalation paths, on-call schedules — this is your domain. You build with AI, not just prompt it. You use AI-native tools (Cursor, Claude, Copilot, or similar) as your standard working environment, not as a novelty. You've built repeatable AI-powered workflows — things that keep running when you're offline. You know when an AI output needs verification, and you've built quality checks into your systems. You can quantify how your AI usage has actually changed throughput or quality. You're technical enough to operate the tools and build custom ones. You're not a software engineer, but you can build custom automations, write SQL to pull from Databricks, configure API integrations, and prototype lightweight AI agents to extend your own capabilities. You operate comfortably in GitLab, Coda, Slack APIs, and observability tools. If a workflow doesn't exist, you build it. If a dashboard is broken, you fix it. You close the loop. You finish what you start without needing follow-up. Jira reflects reality. Commitments land on time. When something slips, you flag it early; you don't go quiet. You prioritize ruthlessly. You receive requests from multiple directions. You apply judgment, push back on low-priority work that doesn't align with program goals, and protect your capacity for high-impact operational work. You clearly and quickly escalate trade-offs rather than getting pulled thin. You understand that incident rotations mean incidents are shared responsibility. You're empathetic with commanders under pressure, give feedback that improves future response without creating friction, and embrace feedback on your own work. You make the whole community better — you don't position yourself as the single point of expertise. You distill complexity into clarity. You're curious and resourceful. You ask the right questions to understand customer and technical impact, then translate that into plain-language guidance for Support, GTM, and leadership — without losing the signal. You work async-first. Zapier is 100% remote. You write clearly and proactively. You design your work to be transparent and handoff-ready. You know when to escalate to a live conversation and when to make the call and document it. Own incident tooling operations. Maintain the reliability and configuration of _, PagerDuty, Slack-based workflows, on-call rotations, and escalation paths. Monitor integrations and automations for issues. Fix what breaks. Build and maintain AI-powered workflows. Design and ship repeatable automation: incident thread summarization, postmortem draft generation, follow-up triage, severity classification, and data hygiene workflows. Turn one-off experiments into durable systems that compound over time. Keep improving them. Build and sustain the IC community. Grow and maintain a community of practice for Incident Commanders and Support Leads. Run regular touchpoints, share learnings across incidents, and coach responders on what good looks like. You are a resource others come to — not just a system operator. Operate data and reporting systems. Build, maintain, and troubleshoot dashboards and reports (Databricks, Grafana, Looker). Ensure data quality, field completeness, and metric accuracy. Surface trends and operational signals to the Incident Program Manager before they become problems. Maintain documentation and enablement assets. Keep playbooks, templates, and incident guides current and usable under pressure. Flag gaps where program-level guidance needs updating. Be the go-to resource for questions about tooling and process. Drive continuous improvement. Participate in incidents and postmortem reviews. Identify patterns across incidents. Implement improvements based on hands-on observation. Surface recurring friction to the Incident Program Manager with recommended solutions, not just problems. Partner across the org. Incidents touch Engineering, Support, GTM, Legal, and Finance. You coordinate across these teams without needing the Program Manager to broker every conversation. You know who to loop in, when, and how to communicate what they need to act. Support the incident program at scale. As the program expands to cover Support, Legal, PR, and Finance, help onboard and enable new stakeholder groups. Build the infrastructure that lets the program run self-sufficiently — including during your own PTO. Incident tooling: _, PagerDuty, Slack Data & Reporting: Databricks, Grafana, Looker, SQL Observability context: Datadog, Grafana, Prometheus, Opensearch, Graylog Collaboration: GitLab, Coda, Google Workspace, Jira, Zendesk AI tooling: Cursor, Zapier AI, Claude, or equivalent Technical and operational experience Experience in incident response, technical operations, or a reliability-adjacent role Hands-on familiarity with incident tooling (_, PagerDuty or equivalent), and Slack-based workflow automation Comfortable building with SQL and reporting tools (Databricks, Looker, Grafana) Able to diagnose operational issues using logs, system context, and integration debugging Can build lightweight automations, configure APIs, and prototype AI workflows — doesn't require an engineer to do it for them AI fluency (required, not optional) Demonstrably uses AI in daily work: for drafting, summarizing, building workflows, and triaging Has built repeatable AI-powered workflows (not just one-off prompts) Applies verification and judgment to AI outputs — especially in high-pressure incident contexts Can articulate how their AI usage has improved speed, quality, or operational capacity Operations and execution Independently drives problems to resolution when direction is clear but the path requires investigation Strong attention to detail in configuration, data quality, and documentation Works visibly — status in public channels, proactive updates, no need to chase Proven track record of respectfully disagreeing and committing — you raise concerns early, then execute once a decision is made. Communication and collaboration Clear written communication across orgs like engineering, support, and ops audiences Proactive in surfacing risks, blockers, and improvement opportunities Comfortable pushing back on off-program requests and escalating trade-offs Able to communicate highly technical incident information to non-technical audiences — Support teams, GTM partners, and leadership — clearly and without jargon. Incident tooling runs reliably with no surprises. Routing, escalation, and on-call systems behave as expected. Dashboards and operational reports are accurate, up to date, and trusted by the Incident Program Manager and leadership. AI-powered workflows measurably reduce manual effort without degrading the quality of what they touch. Automation that saves time at the cost of accuracy or judgment isn't a win. Work is visible in public channels without prompting. Stakeholders always know what's in motion. Documentation and playbooks are maintained and usable under pressure. The program can operate independently during PTO and through role transitions; you've built systems that don't depend on any individual to keep running. Work is documented, config is explained, and runbooks cover the program itself, not just incidents. The anticipated application window is 30 days from the date job is posted, unless the number of applicants requires it to close sooner or later, or if the position is filled. Even though we’re an all-remote company, we still need to be thoughtful about where we have Zapiens working. Check out_ for a list of countries where we currently cannot have Zapiens permanently working.

Stride is an AI-Powered software engineering firm built to deliver real results. We combine elite engineering talent with cutting-edge GenAI tooling to help companies build high-quality software, modernize legacy systems, and future-proof their tech orgs. We are trusted technology partners with some of the biggest names revolutionizing the tech industry. From scaling startups to iconic Fortune 500 companies, we help our clients reach their goals by providing collaborative high-end technical consulting, agile transformation, and product delivery. We are seeking an AI-Enabled Lead Full-Stack Engineer to design, build, and deliver modern software solutions across backend systems, frontend applications, and cloud infrastructure. This is a hands-on, client-facing consulting role where you will collaborate closely with Product Managers, Designers, and Engineers to deliver scalable, maintainable systems that solve real business problems. While strong traditional software engineering skills are core to this role, we are particularly interested in engineers who are comfortable incorporating AI-enabled tooling, LLM integrations, and agentic frameworks into modern software delivery when appropriate. As software development evolves, we increasingly help organizations incorporate AI-assisted development and agentic tooling into modern engineering workflows. Our teams combine strong software engineering fundamentals with emerging AI capabilities to deliver scalable, high-impact products. Design, build, test, and maintain modern software applications across backend and frontend systems. Develop scalable backend services, APIs, and integrations that support high-performance applications. Build modern frontend experiences using frameworks such as React, NextJS, or similar technologies. Write clean, maintainable, and well-tested code following modern engineering practices. Work across multiple programming languages and ecosystems depending on project needs. Participate actively in architecture discussions, code reviews, and technical design sessions. Leverage modern development tooling, including AI-assisted coding and engineering workflows, to improve productivity and quality. Integrate AI-enabled capabilities into development workflows when appropriate, such as adoption of agent tools or automated documentation. Experiment with emerging technologies to improve the software development lifecycle. Help teams evaluate where AI capabilities can enhance software systems or development workflows. Partner closely with Product Managers and Product Owners to refine backlogs and clarify requirements. Break down complex work into well-scoped, estimable user stories and technical tasks. Provide reliable estimates and contribute to sprint and release planning. Inspect and adapt through retrospectives, continuously improving team delivery and engineering practices. Support a culture of transparency, accountability, and continuous improvement. Serve as a technical leader on delivery teams, helping guide architecture and implementation decisions. Collaborate closely with Product Managers and Designers to translate requirements into technical solutions. Help estimate work, identify risks, and contribute to delivery planning and execution. Support technical discovery and feasibility assessments during early phases of engagements. Work directly with client stakeholders to understand technical requirements and constraints. Participate in technical discussions, demos, and solution walkthroughs. Communicate clearly about tradeoffs, risks, and implementation approaches. Represent engineering best practices in client-facing environments. Promote engineering standards around quality, testing, security, and performance. Leverage modern tooling, automation, and AI-assisted development to improve productivity and quality. Contribute to internal engineering patterns, documentation, and shared components. Stay current with modern full-stack and cloud-native best practices. 6+ years of professional experience as a Full-Stack, Backend, or Software Engineer. Strong experience building backend services and APIs using languages such as Java, Python, Ruby, or similar technologies. Experience developing modern frontend applications using React and/or NextJS. Experience working with relational and NoSQL databases. Strong understanding of RESTful APIs, distributed systems, and scalable architectures. Strong understanding and use of Test Driven Development (TDD) and Pair Programming. Comfortable working in Agile delivery environments (Scrum, Kanban). Excellent communication skills and ability to work in client-facing roles. Familiarity with agentic AI frameworks such as LangChain, LangGraph, CrewAI, AutoGen, or similar orchestration tools. Familiarity with AI-assisted development tools and modern developer workflows. Exposure to integrating AI capabilities or LLM APIs into software applications. Experience building applications that leverage LLM APIs (OpenAI, Anthropic, Azure OpenAI, etc.). Experience working with Model Context Protocol (MCP) or tool-integrated AI systems. Experience designing systems using retrieval-augmented generation (RAG) or vector databases. Experience building event-driven or microservices architectures. Consulting or professional services background. You deliver high-quality, scalable solutions across the full stack. You effectively leverage AI-assisted development tools and intelligent automation to improve engineering productivity and delivery quality. Teams trust your technical judgment and architectural guidance, particularly when evaluating where emerging technologies such as LLM integrations or agentic tooling can create real value. Clients view you as a trusted engineering partner—not just an implementer, helping them understand how modern software practices and AI-enabled capabilities can improve their products and engineering workflows. You help teams incorporate AI-enabled features, developer tooling, or automation into applications in ways that are practical, maintainable, and aligned with business goals. You balance speed, quality, and maintainability in real-world delivery environments.

AssetWatch serves global manufacturers by powering manufacturing uptime through the delivery of an unparalleled condition monitoring experience, with a passion to care about the assets our customers care for every day. We are a devoted and capable team that includes world-renowned engineers and distinguished business leaders united by a common goal – To build the future of predictive maintenance. As we enter the next phase of rapid growth, we are seeking people to help lead the journey. AssetWatch has a unique opportunity to scale how LLMs, Agents, machine learning, and data science improve customer outcomes, internal productivity, product differentiation, and operational leverage. The Head of AI manages AI workstreams across the company, turns scattered AI experiments into governed and measurable operating capability, and leads the Data Science function. This is AssetWatch's central strategic leadership role, requiring direct, hands-on involvement. The leader must stay close to the field, understand modern AI and data science deeply enough to scope work directly, and help the company adapt as the technology and vendor ecosystem evolves. Reporting to the CEO, the role demands a blend of strategic vision, technical fluency, ethical leadership, and change management skills. WHAT YOU WILL DO Define and Execute AI Strategy • Partner with executive leadership to define AssetWatch's AI-native vision, operating model, and continue to build our roadmap heading into 2027 and beyond., • Identify where AI can create competitive advantage, drive efficiency, and unlock new customer value, which open new revenue streams., • Keep the strategy current as AI capabilities, tooling, and vendor constraints change. Lead the AI and Data Science Organization • Build, lead, and develop the team across Machine Learning Engineering, Machine Learning , and AI Engineering., • Recruit, develop, and retain high-performing data scientists, ML engineers, and AI engineers., • Establish clear ROI-based goals, accountability, technical standards, and leadership coverage as the team scales. Run Intake, Prioritization, and Governance • Clarify incoming requests by outcome, owner, data dependency, business impact, and build-vs-buy path., • Establish guardrails for AI tools, agents, model usage, data access, and acceptable use without slowing down adoption., • Set AI Strategy and OKRs in partnership with senior leadership and translate them into measurable team goals with proven ROI. Advance ML, MLOps, and Applied AI • Guide development of physics-based models that improve AssetWatch's reliability intelligence, including anomaly detection, ranking, explainability, and alert quality., • Ensure production ML systems are monitored, repeatable, and operationally reliable., • Drive AI engineering work including agentic workflows, internal productivity tools, and customer-facing experiences. Partner Across the Business • Work with Product and Engineering to turn AI opportunities into scoped bets with clear owners and delivery paths., • Partner with GTM, Customer Success, and Operations to identify high-leverage AI opportunities and improve field workflows., • Collaborate with HR, finance, supply chain, and customer support to implement AI-driven automation. Measure Impact and Communicate Up • Define how AI impact is measured and connect AI investments to customer outcomes, efficiency, and revenue., • Maintain a clear narrative for the CEO, board, and cross-functional leaders on priorities, progress, and tradeoffs., • Evaluate vendors and tooling; recommend when to build, buy, or combine approaches. WHAT WE ARE LOOKING FOR Experience • 10 or more years leading AI, machine learning, data science, or adjacent data or software\ technical teams., • Proven track record setting technological strategy in a fast-moving environment and delivering large-scale initiatives., • Experience managing cross-functional teams and partnering with senior executive stakeholders. Technical Depth • Hands-on fluency with modern AI and data science, enough to scope work, evaluate quality, and challenge assumptions., • Working knowledge of production ML, MLOps, evaluation, governance, and AI systems lifecycle., • Familiarity with state-of-the-art approaches including large language models, agentic architecture, and machine learning. Business and Leadership Skills • Strong judgment connecting technical work to customer value, revenue impact, cost control, and risk reduction., • Excellent communicator, able to translate complex AI concepts for non-technical executives and inspire technical teams., • Commitment to responsible AI practices including data privacy, bias mitigation, and regulatory compliance. Education • Bachelor's degree in computer science, data science, AI, engineering, or a related field required., • Advanced degree (MSc, PhD, or MBA with technology focus) preferred. NICE TO HAVE • Background in industrial technology, predictive maintenance, manufacturing, IoT, or condition monitoring., • Experience with time-series data, signal processing, anomaly detection, or sensor-driven products., • Experience with AWS, MLOps tooling, cloud data platforms, and enterprise SaaS integrations. #LI-REMOTE The base salary range for this full-time position is posted below, plus equity and benefits. Variable pay, bonuses, and other cash compensation will be discussed throughout the interview process. The salary range was determined by role, level, and location. Individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range applicable to your location during the hiring process. AssetWatch Salary Range (US) $244,000 - $282,000 USD What We Offer: AssetWatch is a remote-first company that puts people at the center of everything we do. We want our team members to thrive - that’s why we offer a range of benefits and perks designed to support your well-being, growth, and work-life balance. • Competitive compensation package including stock options, • Flexible work schedule, • Comprehensive benefits including retirement plan match, • Opportunity to make a real impact every day, • Work with a dynamic and growing team, • Unlimited PTO We have a distributed team that works remotely across locations in the United States and Ontario, Canada. Collaboration within core working hours is required.

Ent is the intent-aware workspace security platform for securing human and AI-driven work. Built to protect productivity, the new attack surface, Ent understands not just what users and agents do but why, and intervenes at the moment of risk before incidents occur. Founded by Lou Manousos and Brandon Dixon (co-founders of RiskIQ, acquired by Microsoft, and the team behind Microsoft Security Copilot), Ent is in production with Global 2000 customers across hospitality, financial services, and defense, and backed by Decibel, Sequoia, Crosspoint Capital, Craft Ventures, Shield Capital, Felicis, and In-Q-Tel. Customer first. Every roadmap conversation starts with what a CISO told us last week. Humble. No drama. Teamwork over showmanship. Accountability over politics. The work speaks louder than the person doing it. Urgency. The window to build a durable security company in the AI era is open right now. We move at the speed of the people we want to protect. We are hiring a builder who will drive AI transformation for the operation of Ent's rapidly-growing business. This person's job is to deeply understand how Ent's operations actually runs, then hands-on build the agents, automations, integrations, and data tooling that make every function faster and sharper. This is a rare mix of consultant and engineer. You will embed with teams to learn their work, find the highest-leverage problems, and then go build the solution yourself — from prototype to production to adoption. You'll start by prioritizing business systems (the connective tissue between CRM, support, finance, and ops) because that's where reliable automation compounds fastest, then expand outward to whichever function has the biggest opportunity. You'll report to the Chief of Staff with direct CEO sponsorship, giving you cross-functional access and air cover to change how work gets done. Embed with each business function — sales, exec staff, operations, customer success , and business systems — to map how work actually gets done and where AI creates leverage. Prioritize business systems first: instrument, connect, and automate the core stack (CRM, support, finance/ops tooling) so downstream automations are reliable. Design and personally build scalable, cost-effective AI solutions end-to-end: agents and copilots, workflow/process automation, and data & analytics that remove manual work and speed decisions. Own solutions from discovery → prototype → production → adoption → measurement; you ship, you don't just advise. Integrate AI into Ent's systems responsibly, respecting data governance and security — we hold ourselves to the standard we sell. Establish lightweight standards, evaluations, and guardrails so automations are trustworthy, observable, and maintainable. Enable teams through documentation, onboarding, and training so adoption sticks after you move to the next problem. Partner with R&D to reuse Ent's own AI capabilities internally where it makes sense. Maintain a prioritized, ROI-ranked internal AI backlog and report impact to the CEO/CoS. Demonstrated hands-on building with LLMs: prompt engineering, working with model APIs (Anthropic, OpenAI, etc.), retrieval/RAG, structured outputs, and at least one agent framework (e.g., LangGraph, CrewAI). Working software engineering ability: Python and/or TypeScript, comfort with REST APIs and one cloud, and enough SQL/data handling to be dangerous. Business-systems fluency: experience integrating or automating CRM/support/ops tools (e.g., Salesforce/HubSpot, Zendesk) and workflow platforms (Zapier/Make/n8n or code). A process mind: can decompose a messy business process, quantify the cost, and design a measurably better one. Consultative communication: can run a working session with a sales leader and a check-in with an exec in the same day, and translate between them. Bias to ship: gets a working prototype in front of users fast and iterates. High-degree of discretion and integrity: in building these internal systems, you will have access to sensitive company information Equivalent demonstrated building ability can substitute for a degree, especially at entry/IC2. A strong portfolio of shipped AI/automation work outweighs credentials. Distributed workplace. SF office roles plus remote across North America. Own a piece of the journey. Meaningful equity on top of salary. We've got you covered. 90% of medical, dental, and vision paid by Ent; 75% for dependents. Take the time you need. Flexible PTO. Family matters. 12 weeks fully paid maternity leave; 8 weeks fully paid paternity leave. Live well. $100 monthly lifestyle account. Set up your space. $500 home office stipend for remote employees. We're committed to building a diverse, inclusive, and equitable workplace. We value nontraditional career journeys and diverse perspectives, and are happy to provide reasonable accommodations at any stage of hiring — just let your recruiter know.

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