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We’re seeking a Solutions Architect that is excited to help guide customers in adopting Pulumi’s infrastructure-as-code platform, redefining how teams build and operate cloud infrastructure through real programming languages, automation, and developer-first workflows. At Pulumi you will be challenged, learn, teach, and collaborate with an elite team of great people. While Pulumi is headquartered in Seattle, WA., we are dedicated to being a remote first company. This role will be located remotely in the San Francisco, CA. • Partner with the Sales team to articulate the value, visions, and strategy of Pulumi to our customers., • Own the technical pre-sales engagement including, technical discovery, demos, proof-of-concepts and ensuring the technical win., • Technically close complex opportunities through advanced competitive knowledge, technical skills and credibility., • Serve as a technical partner to cloud and platform engineering teams, guiding architectural decisions and best practices., • Deliver product and technical presentations to potential clients at customer meetings and Pulumi events., • Be a customer advocate, closing the loop between customers, product teams and engineering, championing the product to the customer and bringing their requirements to the roadmap., • Be challenged, solve new problems, teach about our technologies, and figure out new, better ways to delight our customers., • 5+ years of experience in a customer-facing technical role (e.g., Solutions Engineering, Solutions Architecture, or Technical Consulting)., • Proficiency with one or more modern programming languages such as Go, Python, TypeScript, C# or Java., • Deep familiarity with core cloud-based infrastructure, application modernization, Open Source technologies, and public and/or private cloud platforms., • Hands on experience with Infrastructure-as-Code tools (eg. Pulumi, Terraform, AWS CDK)., • Demonstrated experience in software development and related best practices., • Proven ability to lead and manage technical customer engagements, including scoping, expectation setting, and successful delivery., • Experience in solution selling methodologies (e.g. MEDDPICC, SPIN, Challenger Sales) and how they apply to the technical sales cycle., • Experience building effective relationships with both technical stakeholders (developers, architects) and business leaders., • Excellent written and verbal communication skills, with the ability to convey complex technical concepts clearly., • Comfortable operating in ambiguous environments, with a demonstrated ability to take ownership and drive outcomes., • Experience in a startup environment or fast-paced technology company, • Public cloud certifications (AWS, Azure, GCP), • Experience with enterprise software sales, • Solutions Engineer - Base Salary Hiring Range: $115,000 - $143,000, • Solutions Architect - Base Salary Hiring Range: $147,000 - $190,000, • This role will include a 30% commission/variable along with base salary., • All full time employee offers at Pulumi include base salary, bonus/variable/commission, equity and benefits (details below). Benefits & Perks at Pulumi: Healthcare Coverage: We offer comprehensive medical, dental, vision, and supplemental insurance at no cost to U.S. employees. Internationally, we comply with local healthcare requirements and provide regionally appropriate coverage. Time Off: Our unlimited PTO policy encourages balance and rest — and we require employees to take at least three weeks off annually, plus 13 U.S. holidays. 401(k): U.S. employees are eligible for a 401(k) plan with an employer match to support long-term financial wellness. Parental Leave: We provide 20 weeks of paid leave for birthing parents or primary caregivers, and 16 weeks for non-birthing parents or secondary caregivers. Remote-First Culture: Pulumi has been fully remote since 2020, with teammates across 20+ U.S. states and 12+ countries. We support flexible work with asynchronous collaboration and an annual “work from anywhere” stipend. Professional Development: Every employee receives an annual learning and development budget to support growth, learning, and career goals. Equity Ownership: We believe in acting like owners. All employees receive equity and are empowered to think big, move fast, and build the future of cloud together. Additional Support: We offer a monthly wellness fund to support mental and physical well-being, and a quarterly happiness fund for team connection. About Pulumi: Pulumi is reimagining how teams build cloud software, enabling developers and infrastructure experts to work better together through a unique combination of programming languages, tools, and systems innovation. Our flagship infrastructure as code technology is open source and our SaaS product, Pulumi Cloud, provides platform teams, secrets management, and cloud management capabilities, and more. We have pioneered leveraging AI across all of these areas with our LLM-powered Pulumi Copilot to push the boundaries of what's possible. At Pulumi, we dream big, in the pursuit of helping our customers out-innovate and win. Founded in 2017 by industry veterans with over five decades of combined experience building developer platforms, Pulumi now has a global community of more than 350,000 members and serves over 3,250 customers. Despite our rapid growth, we're still only getting started, and are early in our mission to democratize the cloud. If you thrive in a fast-paced, high-performance, we want to work with you to accelerate Pulumi's impact. At Pulumi, we don't just accept difference, we celebrate, support, and thrive on it for the benefit of our employees, our products, and our customers. Pulumi is proud to be an equal opportunity workplace and is committed to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. If you have a disability or special need that requires accommodation, please let us know.

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.

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 products including Docker Desktop, Docker Hub, and Docker Scout. We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default. _ Nowhere is that shift harder, or higher stakes, than in government. Federal agencies are being asked to adopt AI quickly while proving that every model, every artifact, and every build step is governed, attested, and auditable. We are hiring a Principal Sales Engineer to own the technical side of that conversation across the US Public Sector. This is a single seat covering both the Department of War and Federal Civilian. You will be the technical face of Docker to agency CIOs, CISOs, program offices, and the platform teams who actually run the pipelines, partnering with our Federal Account Executives to shape requirements early and win competitive technical evaluations. You will act as a trusted technical advisor and champion owner, partnering closely with Account Executives, Post Sales, Product, and our partner and reseller ecosystem to drive measurable mission and technical value through: Technical Selling and Deal Shaping AI Governance and Secure Software Supply Chain Thought Leadership Federal Compliance and Accreditation Fluency Technical Champion Ownership Customer and Internal Advocacy Competitive and Strategic Selling This role reports to the Director of Solutions Engineering and operates at the intersection of technical depth, mission understanding, and competitive selling discipline. Technical Selling and Deal Shaping Lead deep technical discovery across program offices, platform and DevSecOps teams, security organizations, and AI/ML groups to understand: AI governance and responsible AI requirements, including agency guidance and NIST AI Risk Management Framework alignment Software supply chain risk posture and secure software development expectations Accreditation and authorization constraints, including ATO timelines and continuous authorization goals Air-gapped, classified, and disconnected environment requirements Shape technical requirements early in the acquisition cycle so that agency evaluation criteria reflect Docker's differentiated value in AI governance, container and artifact security, and software supply chain integrity. Design, position, and execute structured PoCs and PoVs focused on: Policy enforcement and policy-as-code Image and artifact integrity, provenance, and attestation SBOM generation and visibility Hardened and minimal base images for regulated workloads, including FIPS and STIG-aligned variants AI workload governance controls and sandboxed agentic development Secure build pipelines in constrained and disconnected networks Define clear success criteria, evaluation frameworks, and executive-ready value summaries that a program executive can carry into a funding conversation. Influence decision-making through demos, workshops, architecture reviews, technical exchange meetings, and executive briefings. Translate complex AI security and governance capabilities into mission outcomes for CIOs, CISOs, Chief Data and AI Officers, and program leadership. AI Governance and Secure Software Supply Chain Thought Leadership Establish credibility as a trusted advisor on: Responsible AI development practices in government Secure AI model and agent lifecycle management Software supply chain integrity and provenance Container and artifact security in accredited environments DevSecOps practice in federal platform organizations Guide agency teams in implementing governance controls across AI-enabled SDLC workflows, including identity and access governance for AI workloads and policy-as-code enforcement. Represent Docker publicly in the federal community through industry days, agency technical exchange meetings, conference sessions, webinars, and written content such as reference architectures and whitepapers. Federal Compliance and Accreditation Fluency Serve as the team's subject matter expert on how Docker's products fit inside federal security and accreditation frameworks, and on what evidence agency assessors and authorizing officials will ask for. Position and explain the compliance artifacts Docker Hardened Images produce, including FIPS image variants built on FIPS 140 validated cryptographic modules, STIG scan results aligned to the DoW General Purpose Operating System SRG, and the signed attestations that accompany both. Help customers understand precisely what those artifacts do and do not establish for their own authorization package. Work fluently with the language and constraints of FedRAMP, NIST 800-53 and 800-171, the NIST Secure Software Development Framework, DISA STIGs and SRGs, DoW Impact Levels, and continuous ATO models. Support responses to RFIs, RFPs, security questionnaires, and technical evaluation criteria, partnering with Sales, Legal, Product, and Security. Advise on deployment patterns for on-premises, air-gapped, and government cloud environments, and work with partners and system integrators where they carry the delivery. Technical Champion Ownership Build, own, and expand relationships with technical champions across security, platform, DevSecOps, and AI teams inside agencies and their supporting integrators. Leverage champion relationships to influence broader buying groups, shape requirements, and uncover expansion across programs and sub-agencies. Maintain engagement beyond initial award so outcomes are realized and renewals and expansions are earned. Customer and Internal Advocacy Advocate for federal customer needs with Product and Engineering, providing clear, actionable feedback informed by field experience. You will be the primary voice inside Docker for what the public sector actually needs. Coordinate with Post Sales and Support to ensure continuity across the customer lifecycle, including in environments where Docker staff have limited access. Develop reusable technical assets (workshops, demos, reference architectures, compliance briefings, enablement content) that scale across agencies and across the wider Solutions Engineering team. Competitive and Strategic Selling Actively support competitive motions, identifying differentiation and influencing evaluation criteria throughout the acquisition cycle. Partner with Account Executives, channel partners, and system integrators to develop technical win strategies for strategic federal programs. Support the technical side of contract vehicle and partner-led motions where Docker is sold through a reseller or integrator. 8+ years in technical pre-sales as a Sales Engineer, Solutions Engineer, or Solutions Architect, selling infrastructure software, developer tools, or security products into complex enterprise or government accounts. 3+ years selling into US Federal, covering DoW, Federal Civilian, or both, with a demonstrable record of technical wins inside federal acquisition cycles. Working knowledge of federal security and accreditation frameworks: FedRAMP, NIST 800-53, DISA STIGs, DoW Impact Levels, and the ATO process. Strong experience running competitive PoCs and PoVs with clearly defined success and exit criteria. Solid understanding of containers, Kubernetes, CI/CD, Linux, and modern application architectures, plus the major cloud platforms including their government regions. Ability to engage credibly with both senior government stakeholders and the engineers who will use the product. Excellent communication, influence, and stakeholder management skills, including public speaking to technical government audiences. US citizenship. Many of the agency environments and facilities this role supports require it for access. Willingness to travel to agency sites, industry days, and partner events, up to 25%. An active US security clearance. TS/SCI preferred. Docker does not sponsor personnel security clearances. Experience with Docker specifically, or adjacent container and supply chain security ecosystems. Experience with software supply chain security, SBOM tooling, artifact signing and attestation, or hardened image programs. Experience with AI governance, secure AI or agentic development workflows, or MLOps in a regulated setting. Experience selling through or alongside federal system integrators, resellers, and contract vehicles. Prior military, civil service, or government contractor experience. Experience supporting air-gapped or classified deployments. Based in the Washington DC metro area. You will be welcomed with a first-in-class onboarding experience that includes equipment setup, a swag package, and a collaborative training program with an onboarding peer. You will learn to navigate our sales tools: Salesforce, Opine, Sigma, and Docker itself. You will meet your Account Executives, map the account and program landscape, and read into the in-flight federal opportunities. At the end of your first month you will have a proficient grasp of the tools and activities necessary to be successful in the role. You will be actively supporting live federal opportunities, running discovery and demos alongside your AEs. You will have connected with every member of the Solutions Engineering team and with the Product owners for the areas most relevant to the public sector. You will have a working point of view on where Docker fits in the accreditation posture of your top agencies, and where the gaps are. You will be running PoCs independently, with defined success criteria and executive-ready summaries. You will have produced at least one reusable public sector asset, such as a reference architecture, demo, or compliance-focused briefing. You will be operating independently at full speed and will be the recognized technical authority for Docker in the US Public Sector. Docker does not offer visa sponsorship for this role. Compensation & Equity United States: $217,000 - $310,000 OTE + equity Open vacancy: This posting is for an existing open role. AI in hiring: Docker may use AI-assisted tools during our recruiting process. Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent. Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration. Flexibility that fits your life – We trust you to manage your schedule while delivering great work. Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break. Home office support – Set up your workspace for comfort and success. Technology stipend – Equivalent to US$100 net per month to help support your work. Learning & development – Annual stipend for conferences, courses, certifications, and continued learning. Parental leave – 16 weeks of paid parental leave after six months of employment. Equity for all full-time employees – Share in Docker's long-term success as we continue to grow. Comprehensive benefits – Medical, retirement, and paid holidays vary by country. Docker swag – Because representing the whale never gets old. Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community. #LI-REMOTE

Runpod is the AI Developer Cloud. More than one million developers, from indie researchers to teams running frontier models in production, use Runpod to experiment, train, fine-tune, deploy, and scale AI on one platform. The platform has processed more than 20 billion inference requests. We closed a $100M Series A in June 2026. We're at an inflection point for AI infrastructure, and we're building the platform the next generation of developers will depend on. Learn more in our CEO's funding announcement: _. We're a small, remote-first team. We take ownership seriously, move fast, and ship work that more than a million developers rely on every day. We're looking for people who care deeply, build with urgency, and want to matter at scale. This position will need to be located in the US on PST timezone As part of the Revenue Team, you’ll work closely with customers, the sales team, the product team, the engineering team and the support team to ensure a seamless and delightful Runpod experience. Your role will focus on providing technical insights, resolving challenges, and building trust with customers. Our team is dedicated to delivering exceptional solutions and fostering collaboration across functions to make the platform as smooth and efficient as possible. This Forward Deployed Engineer will support the growth of our cloud platform. This role ensures customers experience seamless operations, addressing technical challenges, guiding onboarding, and collaborating with engineering and sales teams. Ideal candidates combine technical expertise with strong communication skills to enhance customer satisfaction and improve our platform. You’ll play a key role in solving technical challenges, shaping the customer experience, and driving product improvements. By building strong customer relationships and collaborating across teams, your contributions will directly enhance operational efficiency, customer satisfaction, and the success of Runpod. Responsibilities: Participate in sales meetings with customers, explain Runpod’s specific technologies, provide architectural recommendations, and build proof-of-concept solutions to support onboarding for potential high-spending customers. Troubleshoot and resolve critical or complex technical issues escalated by customers, including those related to configuration, performance, functionality, compatibility, or code errors in Runpod’s products or services. Utilize various tools and methods, such as code analysis, scripting for testing, log analysis and remote access, to identify root causes and deliver solutions or workarounds. Communicate effectively with customers and internal teams, including engineering, sales, supply and product management teams, to ensure customer satisfaction and integrate valuable feedback. Assist the support team in troubleshooting and resolving escalated technical tickets, collaborate with the engineering team to provide workarounds or bug fixes, and work with the infrastructure team to address GPU server-related issues. Contribute to product development and testing efforts by relaying feedback from customers and the support team to the engineering team, helping to shape product improvements. Create and maintain technical documentation, such as knowledge base articles, FAQs, guides, and manuals, while also developing and delivering training sessions, webinars, and demos for customers, partners, and internal teams. Requirements: Bachelor's degree in a relevant field (e.g., Computer Science, Computer Engineering, Software Engineering, Information Technology, or a related field) or equivalent professional experience. 3+ years of professional experience in software development. Strong problem-solving skills and ability to work in a collaborative environment. Familiarity with applied AI use cases such as inference, fine-tuning, LLM-based applications, or agentic systems. Excellent communication skills and attention to detail. Located in US in the PST region Successful completion of a background check. Preferred: Strong technical skills, including proficiency in Python (Django, Flask, PyTorch), JavaScript (React, Node.js), and Go, with hands-on experience in full-stack development. Knowledge of various operating systems (Linux/Ubuntu), containerization (Docker), SQL databases (MySQL, PostgreSQL), NoSQL databases (MongoDB), and an understanding of data center components such as server hardware and network operations, as well as familiarity with common network protocols like TCP/IP, HTTP/HTTPS, SSH, and DNS. Proficiency in deploying and managing AI/ML models as services or APIs, along with a deep understanding of machine learning models, including their training, inference, and deployment processes on Runpod platforms. Ability to write and execute scripts, queries, or commands, and the ability to read and understand code, logs, errors, or traces. What You’ll Receive: The competitive base pay for this position ranges from 100,000- 180,000 usd .This salary range may be inclusive of several career levels at Runpod and will be narrowed during the interview process based on a number of factors, including the candidate’s experience, qualifications, and location Meaningful equity in a fast-growing company- everyone on the team receives stock options — your impact drives our growth, and you share in the upside. Flexible PTO- take the time you need to recharge Most roles are remote work first with an inclusive, collaborative teams utilizing slack as the main form of internal communication Join a passionate team on the cutting edge of AI infrastructure — where culture, learning, and ownership are at the heart of how we scale. $1,200 Home Office & Equipment Stipend- We set you up for success from day one with gear and support to create your ideal workspace Runpod is committed to maintaining a workplace free from discrimination and upholding the principles of equality and respect for all individuals. We believe that diversity in all its forms enhances our team. As an equal opportunity employer, Runpod is committed to creating an inclusive workforce at every level. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, protected veteran status, disability status, or any other characteristic protected by law. We welcome every qualified candidate eligible to work in the United States; however, we are currently unable to sponsor employment visas

POSITION: Territory Sales Manager SHIFT: Monday – Friday, 8:00 am - 5:00 pm SALARY: $89,627.17 - $100,311.20 / yr + DOE + Incentive Plan + Full Benefits Package LOCATION: Remote - Must be located in North Dakota, preferably in the central part of the state. TRAVEL: Travel Required 80% of work week TrueNorth Steel is looking for a Territory Sales Manager to promote and sell corrugated steel pipe, modular bridges, and related products in the Northeastern Minnesota & Wisconsin Territory. Looking for an exceptional communicator with a proven sales record, a driven personality, and an ability to build relationships with and care for our valued customers. TrueNorth Steel offers a comprehensive benefits package to full-time employees, which includes an excellent health/dental package, disability, life insurance, flexible spending account benefits, profit-sharing, 401(k) with company match, and paid time off. This position requires the knowledge of principles and practices for promoting, and selling products manufactured and supplied by TrueNorth Steel. This includes understanding and implementing market strategies and tactics, maintaining extensive product knowledge and skills, sales techniques and pricing strategies. This position requires customer needs assessment, meeting their requirement standards for product and services and ensuring we meet the customer’s goals/objectives. The Territory Manager works and travels within a given geographic region. • Promoting the company and its strengths, sell our products to consulting civil engineering firms, county engineers, Federal and State D.O.T. engineers, townships, municipalities, State and Federal agencies, and contractors within the territory. Sales strategy includes the utilization of Civil Engineer and Regional Sales Manager as required., • Compile lists of current/prospective customers for use as sales leads, based on information from the web, newspapers, business directories, and other sources. Maintain a current customer list for the Inside Sales Team, Estimators, and management in TrueNorth Steel's CRM platform., • Territory Sales Managers will place special emphasis upon the promotion and sale of Modular Vehicular and Pedestrian Truss bridges by calling on potential specifiers, project owners and contractors. TSM will coordinate efforts with the Manager of TrueNorth Steel Bridge., • Travel throughout your assigned territory; calling on existing and prospective customers to follow up on orders, develop a strong relationship and inquire about future projects. This position requires 40% to 60% of the employees work week to be spent traveling to the customers place(s) of business or jobsites., • Emphasis on explaining our products; using skills developed in the field and through training, emphasizing there features and benefits to the customer as a solution to their project., • Prepare bids with Estimators and Civil Engineers; ensuring we are bidding with the expectation of winning the project. Knowledge of the project specifics and pricing protocol is critical., • Maintain and have a full and current understanding of market pricing., • Determine price competition (market) and recommend discount rates based on research., • Gather competitor pricing information from contractors at bid time to assist with TNS bid prices., • Negotiate sales with customers after the bid by adjusting prices where necessary to gain the sale., • Gather competitor pricing information from contractors after a bid to help provide market pricing intelligence., • Monitor customer projects/product preferences to determine focus of our sales efforts., • Attend sales meetings as required., • Explain and implement our Terms & Conditions to customers and potential prospects., • Negotiate an estimated date of delivery with the customer, based on the customer expectations and TrueNorth Steel’s production and delivery schedules., • Assist TrueNorth Steel's accounts receivable with payment collections as needed., • This position interacts and cooperates with all segments of the sale and sales support; specifically with the Sales team, Estimators, Civil Engineers, Regional Sales Manager, production/operations, logistics, accounting and executive management. Sound judgment is required to balance customer's requirements with our Company goals and objectives (Mission Statement)., • Establish regular weekly meetings with Inside Sales and Estimator teams., • Employee will be provided with a company credit card (P card). Employee will be expected to use this card in compliance with TrueNorth Steel’s policies and guidelines., • Employee to be enrolled in the TrueNorth Steel Vehicle reimbursement program and adhere to all its' Territory Sales Manager, KL, 08/16/2021 policies and guidelines., • Travel to training seminars for product education and/or personal sales development are required., • Attend and participate in local and regional tradeshows/conferences; working in conjunction with the Regional Sales Manager and the Civil Engineer to ensure adequate coverage (personnel) and booth set-up, booth attendees and tear-down are accomplished., • Resolve customer complaints/concerns with the appropriate staff. Note and report in the Non Conformance/Corrective Action program., • Willing to work flexible hours when necessary., • Prompt and dependable attendance., • Other duties as assigned., • Strong knowledge of Microsoft Office., • Exceptional communication skills., • Able to interface professionally with customers and Inside Sales team., • Knowledge and/or certification in continuous improvement and quality control., • Ability to accurately read and understand detailed civil construction plans and specifications and understand accepted industry installation procedures., • Effective at multi tasking/time management., • Driven personality, with a strong desire to succeed in the workplace., • Ability to effectively build relationships with customers and co-workers., • Ability to take care of the customers’ needs while following company procedures., • Ability to communicate effectively with others using the spoken word., • Ability to be truthful and be seen as credible in the workplace., • Ability to get along well with a variety of personalities and individuals., • High School Diploma or GED required, • Bachelor’s degree in Business/Sales/Marketing or related field preferred, • Professional sales experience or consultative experience in a similar field preferred

While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered. #LI-REMOTE As a Sr. Solutions Engineer on the Digital Natives team, you will shape the future of the big data landscape by working with the most sophisticated data engineering and data science teams in the world. Reporting to the Field Engineering Manager, you will collaborate with existing DNB customers, product teams, and the broader customer-facing team to develop architectures and solutions using our platform and APIs. You will guide customers through the competitive landscape, best practices, and implementation; and develop technical champions along the way. The impact you will have: • You will partner with the sales team and provide technical leadership to help customers understand how Databricks can help solve their business problems., • Consult on Big Data architectures, implement proof of concepts for strategic projects, spanning data engineering, data science and machine learning, and SQL analysis workflows. As well as validating integrations with cloud services, home grown tools, and other 3rd party applications, • Collaborate with your fellow Solutions Architects, using your skills to support each other and our users, • Become an expert in, promote, and recruit contributors for Databricks inspired open-source projects (Spark, Delta Lake, and MLflow) across the developer community. What we look for: • 3+ years in a data engineering, data science, technical architecture, or similar pre-sales/consulting role, • Experience building distributed data systems, • Comfortable programming in, and debugging, Python and SQL, • Have built solutions with public cloud providers such as AWS, Azure, or GCP, • Expertise in one of the following:, • Data Engineering technologies (Ex: Spark, Hadoop, Kafka), • Data Science and Machine Learning technologies (Ex: pandas, scikit-learn, pytorch, Tensorflow), • Available to travel to customers in your region, • [Desired] Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research), • Nice to have: Databricks Certification NOTE: If your experience isn’t a perfect match for the job description, but you feel like you’re a good fit for the role, apply. We want to work with smart, passionate, people who are good at their job, and, a lot of times, those people have non-linear career paths.

As a Senior Data Engineer (B2B), you will own the development, maintenance, and evolution of data pipelines supporting Wpromote’s B2B clients and capabilities. You will work across client teams, Data Engineering, and Product to translate complex B2B marketing and business requirements into reliable, scalable data solutions. This role will spend approximately 75–85% of its time supporting B2B client data needs, with the remaining time focused on improving and standardizing our broader B2B data capabilities. You will own B2B data pipelines end-to-end, including implementing approved modifications to downstream pipelines and data models when necessary to meet client requirements. This role also owns the data layer for measurement and scoring programs. Measurement methodology and analysis design are owned by strategy and analytics partners, with this role building the datasets, pipelines, and validation tooling that support them. You will be expected to understand how changes flow through the broader data ecosystem, evaluate their impact, and implement solutions that preserve data quality and maintainability. As you identify common requirements across B2B clients, you will help turn those patterns into standardized models, reusable components, and scalable B2B data capabilities that reduce repeated custom development. At Wpromote, we believe that great work is only possible with great people. Our goal is to build a better, more inclusive work environment and support our people at every stage of their careers by prioritizing a strong work-life balance through our policies and benefits listed below. As a Best Place to Work according to both Ad Age and Glassdoor and Adweek’s Fastest Growing Digital Agency, we are moving fast to expand our teams and bring new experts into the fold to keep pushing the boundaries of what’s possible in marketing. We offer: -Remote-first culture -Unlimited PTO -Extended Holiday break (Winter) -Flexible schedules -100% paid parental leave -401(k) matching -Medical, Dental, Vision, Life, Pet Insurance -Sponsored life insurance -Short Term Disability insurance and additional voluntary insurance -Annual Class Pass credits and more! The anticipated annual salary for this role will range from $105,000-$135,000, based on consideration of a wide array of factors unique to each candidate, including but not limited to skill set, years and depth of experience, education and certifications, competitive benchmarks, scope of responsibility, market dynamics, geographic location, and respective state’s salary threshold for exempt employees. The total compensation package for this role will include benefits (listed above). *This position may be performed remotely in most states within the US, with some exclusions **While this role offers the flexibility to work remotely, we have office hubs in Los Angeles, Chicago, and New York, where you can join in on learning and development opportunities, fun events, take advantage of a space to work, and collaborate in person! *This position is not eligible for immigration sponsorship Important Notice: Beware of Job Scams Wpromote recruiting communications will only be sent through our official channels via email addresses. If you see a posting elsewhere that is not reflected on , it may be a fraudulent posting. We do not require payment or fees during the hiring process nor do we request sensitive information, such as Social Security numbers or payment details. Please safeguard yourself against possible scams and contact us if you encounter any suspicious activity. #LI-JJ #LI-Remote Owning the design, development, deployment, and ongoing support of data pipelines for Wpromote’s B2B clients using BigQuery, dbt, Python, and orchestration frameworks. Partnering with client teams and technical stakeholders to translate B2B marketing, sales, measurement, and reporting requirements into reliable data solutions. Managing client-specific requirements throughout the data lifecycle, including making approved modifications to downstream pipelines, transformations, and data models when required. Integrating and normalizing data across the B2B technology ecosystem, including CRM, marketing automation, ABM and intent, attribution, enrichment, sales engagement, paid media, web analytics, and first-party product usage and telemetry data. Building data models that connect anonymous and known engagement, leads, contacts, accounts, campaigns, opportunities, marketing touchpoints, and sales activity to support account-level measurement from initial engagement through pipeline and revenue. Understanding upstream and downstream dependencies, troubleshooting complex production issues, and ensuring changes maintain data quality, reliability, and scalability. Strengthening data quality through automated testing, validation, reconciliation, monitoring, and observability. Identifying recurring requirements across B2B clients and converting them into reusable models, frameworks, and configuration-driven solutions. Contributing to Wpromote’s standard B2B data architecture, including common approaches to account resolution, lifecycle stages, funnel definitions, and marketing-to-revenue measurement while maintaining flexibility for client-specific requirements. Using AI-assisted development tools to accelerate development, debugging, testing, documentation, and codebase exploration while maintaining accountability for production code. Building activation pipelines that push data back out to operational systems, including syncing account segments, scores, and lifecycle stages to ad platforms, writing enriched data and tasks back to CRM, and keeping platform audiences current with warehouse state. Investigating and validating the behavior of third-party and vendor data feeds, including delivery cadence, restatement, retention, and schema semantics, and designing pipelines that remain correct when feeds behave differently than documented. Building analytical datasets that support scoring model calibration and validation, such as regression inputs from CRM history, holdout construction, lift analysis, and feedback loops from sales dispositioning. Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field, or equivalent practical experience. 5+ years of experience in data engineering, analytics engineering, or a related field, with experience independently owning production data pipelines and data models. Advanced proficiency in SQL and BigQuery, along with intermediate to advanced programming skills in Python. Strong experience with dbt or an equivalent transformation and orchestration framework including data modeling, testing, documentation, and reusable development patterns. Strong understanding of data warehousing, dimensional modeling, data transformation, and data quality principles. Hands-on data engineering or analytics experience with CRM and at least two other areas of the B2B technology ecosystem, such as marketing automation, ABM/intent, attribution, or paid media platforms. Strong understanding of B2B data models and customer journeys, including lead/contact-to-account relationships, lifecycle and funnel stages, opportunity and pipeline data, campaign membership, marketing touchpoints, and the challenges of connecting marketing activity to revenue. Experience integrating data across multiple B2B systems and reconciling differences in identifiers, entities, lifecycle definitions, business processes, and data structures. Strong problem-solving and communication skills, including the ability to navigate ambiguous client requirements, evaluate technical tradeoffs, and communicate solutions to technical and non-technical stakeholders. Experience within an advertising agency, consulting organization, or other multi-client environment. Experience with lead-to-account matching and identity resolution, including reconciling person-level and account-level data across systems. Experience reconstructing historical state from CRM and marketing data, such as lifecycle and opportunity stage history, snapshot-based feeds, and changes in account ownership or campaign membership over time. Experience with platforms across the B2B ecosystem, including: CRM & Sales: Salesforce Sales Cloud, HubSpot Marketing Automation: Marketo, Pardot (Marketing Cloud Account Engagement), Eloqua ABM & Intent: 6sense, Demandbase B2B Measurement & Attribution: Octane11, Adobe Marketo Measure (formerly Bizible) Data Enrichment & Prospecting: ZoomInfo Sales & Conversational Engagement: Salesloft, Qualified, Drift Content & Buyer Engagement: PathFactory Experience with multi-touch attribution and sourced/influenced pipeline measurement, including per-opportunity attribution models and credit window logic. Experience building B2B measurement models that connect marketing activity and media investment to account engagement, opportunities, pipeline, and revenue. Experience working with historical CRM and marketing data, including changes in lifecycle status, opportunity stages, campaign membership, account ownership, and other business events over time. Experience building reusable or configuration-driven data pipelines that support multiple clients while allowing controlled client-specific customization. Experience with data observability, lineage, metadata management, or data quality platforms. Familiarity with orchestration technologies such as Airflow, Dagster, AWS Glue, or Azure Data Factory, along with modern software engineering practices including Git, code review, CI/CD, and testing. Experience with audience syndication and reverse ETL patterns, including platform audience APIs (DSP, LinkedIn, Meta) or tools such as Hightouch or Census. Experience managing BigQuery cost and performance across multiple clients, including partitioning, clustering, and query cost discipline. Hands-on experience using AI-assisted software engineering tools such as Claude Code, OpenAI Codex, OpenCode, Cursor, GitHub Copilot, or similar tools, with the engineering judgment to review, test, and validate AI-generated solutions. Success in this role will center around three areas: Client Ownership: You will become a trusted technical owner for Wpromote’s B2B data pipelines, independently translating complex client requirements into reliable solutions and confidently managing changes across upstream and downstream systems. Quality: You will improve the reliability of our B2B data through stronger testing, validation, monitoring, documentation, and observability, while proactively identifying and addressing recurring data issues. Scale: You will recognize common patterns across B2B clients and help turn them into standardized, reusable capabilities, reducing repeated custom development while preserving the flexibility needed to support meaningful client-specific requirements. Wpromote is committed to bringing together individuals from different backgrounds and perspectives, providing employees with a safe and welcoming environment free of discrimination and harassment. We strive to create a diverse & inclusive environment where everyone can thrive, feel a sense of belonging, and do impactful work together. As an equal opportunity employer, we prohibit any unlawful discrimination against a job applicant on the basis of their race, color, religion, gender, gender identity, gender expression, sexual orientation, national origin, family or parental status, disability*, age, veteran status, or any other status protected by the laws or regulations in the locations where we operate. We respect the laws enforced by the EEOC and are dedicated to going above and beyond in fostering diversity across our workplace. Applicants with disabilities may be entitled to reasonable accommodation under the terms of the Americans with Disabilities Act and certain state or local laws. A reasonable accommodation is a change in the way things are normally done which will ensure an equal employment opportunity without imposing undue hardship on Wpromote. This employer participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. If E-Verify cannot confirm that you are authorized to work, this employer is required to give you written instructions and an opportunity to contact Department of Homeland Security (DHS) or Social Security Administration (SSA) so you can begin to resolve the issue before the employer can take any action against you, including terminating your employment. Employers can only use E-Verify once you have accepted a job offer and completed the Form I-9. For more information on E Verify, or if you believe that your employer has violated its E-Verify responsibilities, please contact DHS. 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.

Grafana Labs, the company behind the open observability cloud, is founded on the principles of open source, open standards, open ecosystems, and open culture. Grafana Cloud, our fully managed observability platform, is flexible and built for scale. With Grafana Cloud's actually useful AI, organizations can see, understand, and act on all their disparate data to move at the speed of their ambitions. Today, more than 35 million users and 7,000+ customers – including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce – trust Grafana Labs to ensure reliability of their applications and systems, resolve incidents quickly, and optimize their telemetry to reduce noise and cost. We are a 100% remote company with 1,600+ team members across 40+ countries, and we’re backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at and follow us on and _. We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote opportunity and we are looking for candidates from the U.S. The Opportunity Grafana Labs is seeking a Senior Engineer (AI & Automation) to own the AI agent infrastructure and automation platform that powers our Marketing Operations organization. You’ll build multi-agent architectures, LLM integrations, and backend services that connect AI models to internal and third-party data platforms. You’ll ship production systems that teams depend on daily. This is a high-autonomy role where you own the technical direction. You’ll identify the highest-leverage problems across Marketing, RevOps, and SDR teams, design the solutions, and ship them. You’ll define the technical direction for the automation platform (data models, API contracts, shared libraries, reference architectures) and partner with Data Engineering, GTM Systems, and Field Operations to build scalable, self-service automation that eliminates manual work and drives operational efficiency. What You'll Be Doing Agentic Systems & AI Infrastructure • Own end-to-end development of multi-agent AI systems, from architecture and implementation through testing, deployment, and ongoing operation, • Build modular, composable agentic systems using orchestration frameworks (LangChain, CrewAI, Anthropic MCP, or similar) that operate 24/7 across teams, • Develop reusable agentic skills that agents invoke across interfaces (Slack, dashboards, internal apps, CLIs), • Implement observability and feedback loops including logging, performance metrics, prompt iteration, model evaluation, and cost management, • Establish governance and compliance standards for AI workflows including access controls, audit trails, PII handling, and human-in-the-loop escalation paths Systems Integration & Backend Services • Build MCP servers, APIs, CLIs, and microservices connecting AI models to business systems (BigQuery, Slack, CRMs, email, calendars, analytics tools), • Architect data flows for retrieval-augmented generation (RAG), connecting LLMs to internal knowledge bases, customer data, and real-time business context, • Build serverless or containerized services (GCP Cloud Functions, Cloud Run) that scale with usage and integrate with Grafana's cloud infrastructure Automation & Workflow Enablement • Partner with RevOps, Demand Generation, Regional Marketing, and SDR teams to scope high-impact automation problems, identify bottlenecks, and build solutions with measurable business outcomes, • Design and deploy workflows using orchestration tools (n8n, Workato, or custom platforms) with CI/CD, testing, and production reliability standards, • Build systems designed for self-service with documentation, playbooks, and enablement materials that let partner teams operate independently We invest heavily in developer productivity. You'll have access to AI coding assistants (Claude Code, Gemini CLI, OpenAI Codex, and others of your choice within security guidelines). We encourage pragmatic AI-assisted development paired with strong code review and quality standards. What Makes You a Great Fit • 8+ years of software engineering experience with depth in backend development, systems integration, or data/analytics engineering, • 2+ years hands-on experience applying LLMs/AI to production workflows, not just prototypes, • Strong proficiency in Python and JavaScript/Node.js with Git-based workflows, code review practices, and testing discipline, • Hands-on experience with LLM frameworks and patterns including prompt engineering, RAG, function calling/tool use, structured output parsing, and evaluation, • Experience building and operating multi-agent systems at scale including agent decomposition, orchestration patterns (sequential chains, router/dispatcher, parallel fan-out), state management, and production monitoring, • You diagnose business problems before writing code. You think in workflows and outcomes, not just functions., • Deep familiarity with Google Cloud Platform, BigQuery, and serverless/containerized services (Cloud Functions, Cloud Run), • Understanding of LLM failure modes and production mitigations including confidence thresholds, fallback logic, human escalation, and cost/latency management, • Proven ability to identify high-leverage problems, push back on low-impact requests, and deliver end-to-end with minimal direction, • Fluent with AI-assisted development tools (GitHub Copilot, Cursor, Claude Code). You use AI to build AI systems, • Clear technical communicator who can explain complex systems in simple terms to both engineers and business stakeholders Bonus Points • Experience with vector databases or retrieval pipelines (Pinecone, Weaviate, ChromaDB, Qdrant, pgvector), • Familiarity with marketing or sales platforms (Salesforce, Customer.io, HubSpot, Marketo, Outreach), • Experience with frontend frameworks (React, Slack Block Kit) for building user-facing AI tool interfaces, • Observability tooling for AI systems (LangSmith, Weights & Biases, custom evaluation frameworks), • Experience with workflow orchestration platforms (n8n, Temporal, Prefect, Airflow), • Familiarity with Model Context Protocol (MCP) or similar standards for connecting AI systems to data sources, • Prior work automating marketing, sales, or customer success workflows in a B2B SaaS environment, • Active in open-source communities. Grafana is built on OSS and we value engineers who share that DNA In the United States, the base compensation range for this role is USD $154,445 - USD $185,334. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: • 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose., • Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment., • Transparent Communication – Expect open decision-making and regular company-wide updates., • Innovation-Driven – Autonomy and support to ship great work and try new things., • Open Source Roots – Built on community-driven values that shape how we work., • Empowered Teams – High trust, low ego culture that values outcomes over optics., • Career Growth Pathways – Defined opportunities to grow and develop your career., • Approachable Leadership – Transparent execs who are involved, visible, and human., • Passionate People – Join a team of smart, supportive folks who care deeply about what they do., • In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it., • Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our .

Postman is the world’s leading API platform, used by more than 45 million+ developers and 500,000 organizations, including 98% of the Fortune 500. Postman is helping developers and professionals across the globe build the API-first world by simplifying each step of the API lifecycle and streamlining collaboration—enabling users to create better APIs, faster. The company is headquartered in San Francisco and has offices in Boston, New York, Austin, Tokyo, London, and Bangalore - where Postman was founded. Postman is privately held, with funding from Battery Ventures, BOND, Coatue, CRV, Insight Partners, and Nexus Venture Partners. Learn more at postman.com or connect with Postman on X via @getpostman. P.S: We highly recommend reading _ to understand the bigger picture and our vision at Postman. We are looking for a Key Account Director to lead growth within a set of Postman’s most important enterprise accounts. This role is part of a new strategic go-to-market motion designed to deepen our engagement with large enterprises, expand our footprint, and deliver the full value of the Postman platform. You will be paired with a pod that includes a Principal Solutions Engineer and a Field CTO, forming a high-caliber account team focused on building long-term, value-based relationships. Together, you’ll engage senior technology leaders, uncover complex challenges, and drive adoption of Postman’s enterprise and platform solutions at scale. This is not a traditional “low-hanging fruit” sales role—this is about strategic account expansion, multi-threaded enterprise engagement, and solution selling. Location: This fully remote role based in Dallas, TX. • Own and grow a portfolio of strategic enterprise accounts (e.g., Fortune 500, cloud-first companies, large-scale developer organizations)., • Deeply engage with senior buyers—CIOs, CTOs, VPs of Engineering, Platform, Security, and Collaboration—to position Postman as a critical platform solution., • Drive multi-threaded sales campaigns that expand existing usage and convert massive developer adoption (tens of thousands of users) into enterprise-wide value., • Lead complex solution sales cycles across collaboration, security, API governance, and emerging AI-enabled workflows., • Identify customer pain points and design tailored value propositions that demonstrate ROI and impact at scale., • Orchestrate cross-functional engagement with Customer Success, Product, and Marketing to maximize customer outcomes., • Track, forecast, and report on account progress, pipeline health, and business results., • Be a thought partner to your accounts, staying ahead of industry trends like agentic AI, workflow automation, and cloud-native development., • Partner with relevant stakeholders to drive account strategy and expansion., • 10–15 years of enterprise sales experience, with a proven track record in strategic account management and expansion., • Experience selling technical and platform products (developer tools, SaaS platforms, cloud infrastructure, or security solutions)., • Demonstrated success in solution selling—engaging with senior technology leaders and driving multi-million dollar expansion deals., • History of working long cycles and successfully growing accounts over time., • Ability to navigate large, complex organizations with thousands of users and multiple stakeholders., • Collaborative mindset with experience working closely with technical teams (solutions engineers, architects, CTOs)., • Deep understanding of enterprise buyer personas (security, collaboration, platform, developer productivity)., • Curiosity and fluency in emerging technologies, particularly AI/agentic AI, and how they can automate workflows and deliver customer value., • Strong executive presence, relationship-building skills, and the ability to influence at the C-suite level., • Be part of an innovative sales model at one of the fastest-growing developer platforms in the world., • Partner with world-class colleagues in a pod structure designed to maximize customer impact., • Work with some of the largest and most innovative technology companies on the planet., • Play a key role in shaping how Postman goes deeper into enterprise accounts and accelerates platform adoption. The reasonably estimated OTE for this role is $320,000- $420,000 plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience. In addition to Postman's pay-on-performance philosophy, and a flexible schedule working with a fun, collaborative team, Postman offers a comprehensive set of benefits, including full medical coverage, flexible PTO, wellness reimbursement, and a monthly lunch stipend. Along with that, our wellness programs will help you stay in the best of your physical and mental health. Our frequent and fascinating team-building events will keep you connected, while our donation-matching program can support the causes you care about. We’re building a long-term company with an inclusive culture where everyone can be the best version of themselves. At Postman we value in person collaboration. We are in office 5 days a week for all roles based out of our hubs in San Francisco Bay Area, Boston, Austin, New York City, Tokyo and London. For roles based in Bangalore, employees currently work in the office three days a week and will transition to five days per week by the end of the year. We were thoughtful in our approach which is based on collaboration and grounded in feedback from our workforce, leadership team, and peers. The benefits of our in office model will be shared knowledge, brainstorming sessions, communication, and building trust in-person that cannot be replicated via zoom. At Postman, we create with the same curiosity that we see in our users. We value transparency and honest communication about not only successes, but also failures. In our work, we focus on specific goals that add up to a larger vision. Our inclusive work culture ensures that everyone is valued equally as important pieces of our final product. We are dedicated to delivering the best products we can. Postman is an Equal Employment Opportunity and Affirmative Action Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status. Headhunters and recruitment agencies may not submit resumes/CVs through this website or directly to managers. Postman does not accept unsolicited headhunter and agency resumes. Postman will not pay fees to any third-party agency or company that does not have a signed agreement with Postman.

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. The CRM team owns the surface Close customers live in all day: leads, contacts, opportunities, tasks, activities, custom objects, and the search that makes any of it findable. Everything upstream — calls, emails, meetings — flows into the data this team structures, and everything downstream, including every agent we ship, depends on it. The team is making significant strides on the next iteration of Close's core data model, the largest engineering effort underway at the company. We're reopening assumptions made a decade ago and asking what a modern CRM's data model should actually be — one where any small, scaling business can map their operations into Close their way. This is a long series of migrations and rearchitecture projects. The first of them are already underway. If you like greenfield and you like hairy, this is both at once: help design the next version of Close, and untangle the current one to get there. 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. A seasoned engineer. Python is our backbone, but perhaps you've worked across Go, Rust, or TypeScript. You pick the right tool for the workload rather than retreating to what you know. Architecturally minded. This is the thing we care about most. You've designed systems others built on, planned a migration that couldn't take the product down, and know how to sequence a rearchitecture into pieces that each ship on their own. Drawn to data model and retrieval problems. Schemas, relationships, normalization, query design, type systems. The plumbing that decides whether a CRM feels fast or feels like a database someone left running. Experienced in search — a serious bonus. Elasticsearch especially, and anything adjacent: Lucene internals, query planning, relevance, indexing at scale, building or operating a search engine rather than just calling one. AI-native in production. You've shipped meaningful LLM-backed or agentic features to real users, and you have a POV on where AI earns its place in a CRM workflow and where a structured system still wins. Working with AI in your day-to-day. You use AI tools in your own workflow to ship faster, write tighter code, and reason about unfamiliar parts of the codebase. We fund best-in-class developer tools and treat experimentation as part of the work. 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 sloppy v1 in front of fifty customers than spend three weeks on abstractions. You ship. Rearchitect the core CRM data model. Rework how leads, contacts, opportunities, and custom objects relate to each other so customers can represent their business the way it actually works. Make Close genuinely usable by agents. The Agents team builds the MCP foundation; we build the tools and endpoints on top of it that expose the CRM's data and actions. The hard part is search again: any MCP-compatible harness should be able to traverse, filter, and reason over a customer's CRM without learning our private query language first. Ship AI-native CRM features. This team built agentic enrichment: instead of paying a third-party data provider, an agent goes and researches whatever field you need, in bulk or automatically inside a workflow. There's a lot more of this ahead, including AI-powered data cleaning and richer AI search. Keep the hot paths fast. Finding a lead, updating a deal, scanning a pipeline, running a bulk action. Salespeople do these hundreds of times a week, and no amount of clever architecture matters if they're slow. Tech you'll touch: Python, Flask, FastAPI, MongoDB, Elasticsearch, PostgreSQL, Redis, TaskTiger, MCP — plus whichever LLM 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.

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.

LTK’s mission is to empower the world’s premium lifestyle Creators to achieve maximum economic success. We have a huge opportunity ahead of us and we’re looking for team members who want to create, innovate and disrupt an industry. We empower our team members to drive innovation, create value, and continue to spearhead the creation of this industry — a game changer when it comes to career growth. Title: Senior Software Engineer, Fullstack Location: Remote from the U.S. About the role Join the LTK Family! We are searching for a senior software engineer to join the Creator organization. This team is responsible for the user experiences and systems used to onboard creators and drive their growth across LTK, one of the largest creator-guided shopping and brand marketing platforms in the industry. The ideal Senior Software Engineer for this space will be organized, productive, and comfortable working across the full stack. You will have strong experience in building scalable, production-quality web applications that anticipate significant growth across multiple dimensions. You’ll be inventive and have a pragmatic and iterative approach to delivering high quality software. You’ll ruthlessly prioritize accomplishing the highest impact deliverables first, and provide valuable guidance to the engineering manager on the direction of the team’s web architecture and systems. You will proactively establish lines of communication across the teams and business units, and draw on them to make the team successful. How you will make an impact • Coming up with feasible and practical solutions to tough problems., • Design, build, and maintain high-quality fullstack systems and experiences., • Take end-to-end ownership of features across the stack: from early technical design and prototyping through implementation, testing, rollout, and ongoing iteration., • Collaborate with product, design, and other engineers to deliver intuitive, performant, and accessible fullstack experiences that delight creators and brands., • Optimize fullstack applications and services for performance, scalability, and reliability., • Champion best practices in architecture, usability, security, and cross-platform compatibility across the full stack., • Use AI tools to expedite daily workflows (e.g., code generation, refactoring, test creation, documentation) and to improve both speed and quality of web development., • Leverage AI-assisted development practices to prototype, iterate on, and maintain web features efficiently, while holding a high bar for safety and code quality., • Write very high-quality, well-tested code that is robust and easy to maintain., • Take ownership of projects and drive them to completion., • Work and succeed in a fast-paced and agile development environment., • Identify and drive improvements to our fullstack architecture, tooling, and development processes., • Conduct constructive peer design/code reviews and provide clear, actionable feedback., • Work with distributed teams across different time zones., • Serve as a technical subject matter expert for fullstack development who mentors fellow engineers, demonstrates technical experience, and leads teams in solving challenging problems. What you will bring to LTK • 5+ years of software development experience, with significant time spent building and maintaining production-scale fullstack applications., • Deep experience with modern fullstack development, including both front-end and back-end technologies., • Demonstrated proficiency in React.js (or another comparable framework), including building complex, component-based single-page applications, • Strong understanding of front-end architecture and patterns (component design, state management, routing, modularization)., • Experience with modern web tooling and ecosystems (e.g., Webpack/Vite, npm/yarn, linting, formatting, testing frameworks such as Jest, React Testing Library, Cypress, or similar)., • History of designing and building highly scalable, resilient web experiences that serve a growing user base., • Experience integrating with backend services and APIs (REST/JSON, HTTP; GraphQL) and working closely with backend teams to define interfaces and contracts., • Strong focus on performance, accessibility, security, and usability in web applications., • Demonstrated experience using AI tools as part of the software development lifecycle (coding, debugging, testing, documentation) with concrete examples of improved productivity or quality., • Ability to critically evaluate AI-generated code, refine it, and integrate it safely and effectively into production systems while maintaining team standards and best practices., • Experience designing and building backend services or APIs to support web applications in a modern server side language (Go, Java, • Experience with AWS systems such as ECS, Lambda, and RDS (among others)., • Experience working in a containerized environment (preferably Docker)., • Experience with databases such as MySQL, DynamoDB, • Experience with observability tools like Datadog, • Comfortable shipping code multiple times per day., • Strong technical leadership and mentoring skills., • Ability to model and conceptualize integrations across complex systems and how services interact across the full stack., • Excellent verbal and written communication skills to both technical and non-technical audiences., • The opportunity to be part of the leading global company in creator commerce, • A remote-first, productivity-first environment, • Competitive compensation and benefits package to meet the needs of you and your family, • 401(k) with LTK company matching, • Medical Insurance, Vision Insurance, Dental Insurance, • Paid Maternity Leave and Paid Paternity Leave, • Summer Fridays and Flexible PTO Founded in 2011, LTK is the global technology platform purpose-built to empower lifestyle creators to monetize their content. The full-service platform connects brands, creators, and shoppers with a world-class shopping app and trusted tools and technology that make content instantly shoppable. Today, premium lifestyle creators in 160+ countries drive more than $5 billion+ in annual retail sales through their LTK Shop profiles. More than 40 million consumers turn to LTK Shops in the LTK shopping platform each month to find inspiration and instantly shop the styles recommended by their favorite creators. More than 8,000 retailers and 1M brands partner with LTK to gain access to its global creator network for content that converts against performance-driven, cross-channel KPIs. LTK is headquartered in Dallas, TX, and currently operates on five continents. To empower the world’s premium lifestyle Creators to achieve maximum economic success. • Here to win, • Commit to the journey, • Work well LTK believes diversity, equity, and inclusion are fundamental obligations that strengthen our team. We employ a diverse, multi-disciplinary team to build a meaningful company and culture. For US-Based Roles: We are not offering new sponsorships opportunities at this time for persons requiring employment visas, such as an H-1B; authorization to work in the U.S. is a precondition of employment. Any unsolicited resumes/candidate profiles submitted through our website or to personal email accounts of employees of LTK are considered the property of LTK and are not subject to payment of agency fees. LTK is an Equal Opportunity Employer. #LI-Remote

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.

Veeva Systems is a mission-driven organization and pioneer in industry cloud, helping life sciences companies bring therapies to patients faster. As one of the fastest-growing SaaS companies in history, we surpassed $2B in revenue in our last fiscal year with extensive growth potential ahead. At the heart of Veeva are our values: Do the Right Thing, Customer Success, Employee Success, and Speed. We're not just any public company – we made history in 2021 by becoming a _ (PBC), legally bound to balancing the interests of customers, employees, society, and investors. As a _ company, we support your flexibility to work from home or in the office, so you can thrive in your ideal environment. Join us in _, committed to making a positive impact on its customers, employees, and communities. The Role Veeva OpenData supports the industry by providing real-time reference data across the complete healthcare ecosystem, to support commercial sales execution, compliance, and business analytics. We drive value to our customers through constant innovation, using cloud-based solutions and state-of-the-art technologies to deliver product excellence and customer success. In the role of Senior Software Engineer, Data Platform at Opendata, you'll spearhead the development of entirely new architecture for our new Data platform from the ground up. Your primary objective will be to design and build a resilient, scalable cloud-based platform along with its accompanying tools. These resources will empower Opendata teams to efficiently create and distribute our valuable data assets. We value end-to-end ownership, which gives you the freedom to determine the correct course of action, do all due diligence, and execute solutions in your own creative way. Applicants must have the unrestricted right to work in the United States. Veeva will not provide sponsorship at this time. \n What You'll Do • Lead the technical design, end-to-end architecture development of the data platform for Opendata, • Develop core platform components including data ingestion, storage and processing engine, • Develop algorithms to build complex data relationships, • Establish best practices in design and implementation of technical solutions, • Collaborate with Product team to adapt our data platform to changing demands in the market Requirements • 6+ years of experience as software engineer, with strong focus on designing and building scalable data platforms, • Strong understanding of data architecture principles and proven experience in designing and developing scalable data systems, • Experience working with Apache Spark, Airflow (or similar), Data Lakes and open table formats such as delta lake and/or iceberg etc, • Excellent SW development skills in one or more: Python/Java/Scala, • Strong experience in building data tools and libraries with AWS and/or GCP infrastructure and services, • Strong communication skills Nice to Have • Experience building and supporting scalable APIs for platforms, • Hands-on experience using DevOps tools and CI/CD, • Experience with Redshift, EMR, EKS or equivalent, • Previous experience in the Life Sciences sector Learn More • _, • _ Perks & Benefits • Medical, dental, vision, and basic life insurance, • Flexible PTO and company paid holidays, • Retirement programs, • 1% charitable giving program Compensation • Base pay: $110,000 - $270,000, • The salary range listed here has been provided to comply with local regulations and represents a potential base salary range for this role. Please note that actual salaries may vary within the range above or below, depending on experience and location. We look at compensation for each individual and base our offer on your unique qualifications, experience, and expected contributions. This position may also be eligible for other types of compensation in addition to base salary, such as variable bonus and/or stock bonus. \n #LI-Remote Veeva’s headquarters is located in the San Francisco Bay Area with offices in more than 15 countries around the world. Veeva is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity or expression, religion, national origin or ancestry, age, disability, marital status, pregnancy, protected veteran status, protected genetic information, political affiliation, or any other characteristics protected by local laws, regulations, or ordinances. If you need assistance or accommodation due to a disability or special need when applying for a role or in our recruitment process, please contact us at _.

Why we're hiring Tracebit is helping some of the world's best security teams at Snyk, Docker, Riot Games and many more to achieve an 'assume breach' strategy at scale. Tracebit detects intrusions in critical environments using canaries - decoy assets deployed to deceive attackers. We're at a massive inflection point and there has never been a more exciting time to join us: We've built a product that security teams love. You'll be our founding Sales Engineer (a key part of our Customer Engineering team), helping build the technical foundation for how we grow our customer base and deliver outcomes at scale. We are backed by some of the best investors in the space (Accel, FirstMark and more). We are growing very quickly (we doubled ARR last quarter), having recently closed some incredible customers that we can't disclose publicly! We are one of the most exciting startups to be part of in cybersecurity, have seen some great feedback from the market and are ready for explosive growth. We have strong traction in the US (80% of our customer base and forward-looking business). We've hit product-market fit and it's time to accelerate our growth by building our US presence. Regularly featured on top startup lists from industry veterans... Creandum's , Sifted's , Notions , AlbionVC's , MMCs , Accel's , etc. Trusted by teams at Docker, Chainguard, Xbow, Riot Games, Snyk and more. _ has recently helped fix a P1 security flaw in Google's Gemini CLI. You have strong technical sales experience. You've spent 3-5 years in a customer-facing technical role at a B2B SaaS company, ideally in cybersecurity or developer tooling. You don't need to code, but you understand and have experience in areas such as cloud infrastructure or DevOps and can explain technical concepts clearly to both engineers and executives. You learn technical concepts quickly. You can rapidly grasp new technical concepts and translate them into clear value propositions. You're comfortable diving into technical documentation and asking smart questions to fill knowledge gaps. You work well with GTM teams. You understand the sales process and know when to lead technical discussions versus when to support account executives. You can identify technical blockers and work collaboratively to overcome them. You're comfortable in startup environments. You've experienced the pace of an early-stage company and this pace excites you. You can handle ambiguity, build processes from scratch, and adapt quickly as priorities shift. You'll report directly to Bryan O’Neil, our Director of Customer Engineering. You'll partner closely with sales, product, engineering, and directly with our customers to ensure successful evaluations and wider outcomes via our platform. Your core focus: Run discovery calls and product demos. Partner with sales to understand prospect requirements and deliver tailored demos that showcase how Tracebit solves their specific challenges. Adjust your approach based on whether you're talking to a CISO or a security engineer. Design and execute PoVs. Scope Proof-of-Values that demonstrate clear alignment within prospect environments. Guide customers through setup, monitor progress, and ensure successful outcomes and technical wins. Build technical sales collateral. Input on demo scripts, technical one-pagers, architecture diagrams, and FAQ documents that help prospects understand our platform. Make it easy for AEs to have informed technical conversations. Provide technical guidance throughout the sales cycle. Address questions about security, compliance, and integrations. Work with engineering when deeper expertise is needed. You will be a Tracebit SME. Feed product insights back to the team. Bring customer feedback, feature requests, and competitive intelligence to product discussions. Help shape what we build based on market needs. Represent Tracebit at events. Attend key cybersecurity conferences to run technical demos, answer questions, and build relationships with prospects. Where is the office? We're establishing our New York office in Manhattan. You'll work closely with our London team and other US team members as we grow. Are you doing hybrid/remote? This role can be based either in our New York office or fully remote in the US. To best support our teams in NY and London, remote locations should be in Eastern or Central US timezones. We are an office-first company - all of our team works together in the office 5 days a week. However, we're making an exception for this role given the nature of the work and the need to hire the best talent in this space. If you're based in New York, you'll work from our office. If you're remote, we expect you to come to the office at least quarterly to collaborate with the team in person. What are the working hours like? We think 9am-6pm will bring a great cadence to work. As a founding team member, there will definitely be times you need to pick up work outside of these hours, we're keen to limit this where we can but also offer flexibility in return. Can you sponsor visas? You must have the right to work in the US.

USA (Remote) with 35-40% Travel Robots & Pencils is an applied AI engineering firm building the next frontier of business architecture. We design and ship AI co-workers that integrate into enterprise operations and deliver measurable results for our clients. We're all in on AWS, combining deep UX capability with senior engineering talent to get AI into production fast and keep it there. We’ve earned the trust of leaders across Consumer Products and Retail, Education, Energy, Financial Services, Healthcare, and Manufacturing and more, and earned a reputation as the nimble alternative to traditional global systems integrators. Founded in 2009, with delivery centers in Canada, the United States, Eastern Europe, and Latin America, we are smaller, faster, and more senior by design. Our teams average 15+ years of experience. We move fast, sweat the details, and build things that actually ship. Position Overview We’re looking for a Vice President, Data to build, lead, and grow R&P’s data practice from the ground up. This is an important role at Robots & Pencils, a player-coach position that demands equal parts technical depth, business ownership, and leadership. You will establish R&P as a go-to partner for data strategy, modern data architecture, AI-ready platforms, business intelligence, and data engineering. You will own the practice as a true business, with full accountability for revenue, profitability, client outcomes, and team development. You’ll report to the Global Head of Delivery, and be part of the Senior Leadership team. What You’ll Do Technical Expertise • Act as the senior data authority in front of client CTOs, CIOs, and heads of data, leading pursuit work where data is the primary buy, • Develop strategic views on where the data market is headed, • Champion internal and external thought leadership, publishing points of view, speaking at industry events, and elevating R&P’s brand in the data ecosystem, • Develop best-in-class solutions architecture recommendations for clients and prospects, • Contribute to R&P's AI software development lifecycle — helping advance internal AI capabilities and embedding intelligent practices into data delivery Management & Leadership • Build and lead a high-performing team of data consultants, engineers, BI leads, and data scientists, consolidating practitioners currently embedded across the firm and fostering a culture of excellence, curiosity, and accountability, • Set the technical standards, career architecture, and development pathways for data practitioners inside the firm, • Cultivate a collaborative, inclusive practice culture that attracts and retains top talent Business Ownership & Commercial Strategy • Build the data practice into a $5m revenue practice in the first twelve months; own the full P&L with accountability for revenue, chargeability, and gross margin, • Set a clear vision for the practice and communicate it compellingly to both internal stakeholders and clients, • Define service lines, target industries, pricing logic, and operating model; shape the data proposition in partnership with the commercial team, • Partner with the sales organization and client teams to identify, develop, and expand strategic accounts where data capabilities can drive meaningful transformation, • Lead and support presales solutioning and scoping engagements, crafting compelling proposals and winning new business, • Lead the firm’s Databricks relationship and adjacent data partnerships; convert partnership status into pipeline, co-sell motions, and joint delivery Required Skills & Experience • 10+ years of progressive experience in data and analytics, with at least 3 years at director, principal, or practice-lead level within a professional services or technology consulting business, • Demonstrated track record of building or scaling a data practice or service line, including ownership of P&L and go-to-market strategy, • Proven experience solutioning and delivering complex data engagements across data engineering, analytics, cloud migration, and AI/ML readiness, • Deep expertise in Databricks, Snowflake, and/or AWS (Redshift/S3), with hands-on fluency in modern Data Lake and Lakehouse patterns and the broader enterprise data stack, • Comprehensive command of the data ecosystem: data strategy, governance, master data management (MDM), data architecture, cloud-native platforms, and AI/ML readiness, • Expertise across the full data value chain (ingestion, transformation, analytics, and warehousing) with the ability to assess and evolve skill competencies within the practice, • Strong executive presence with the ability to engage C-suite stakeholders, drive strategic conversations, and build lasting client relationships, • History of developing and mentoring high-performing technical teams; comfortable owning performance management and talent development Helpgul Extras & Unique Skills • AWS certifications, like Certified Data Engineer – Associate, preferred You’ll Do Well Here if You Are • A doer. You see something broken and fix it. You'd rather move on clarity than wait for certainty., • A fast learner who knows you don't know everything. The AI landscape changes weekly. You're senior enough to know better and curious enough to keep learning anyway., • Direct in a way that makes the work better. You give honest feedback. You'd rather have the hard conversation than blow smoke., • Obsessed with craft. You know genius is in the details. You ship exceptional, not perfect, and you don't put your name on work you wouldn't stand behind., • Built for ownership. You honor commitments, admit mistakes fast, and back your teammates when a decision costs something. No handoffs, no finger-pointing., • All in. You treat clients' businesses like your own. You take the work seriously without taking yourself seriously., • Resourceful when the budget, timeline, or team is tight. Constraints don't slow you down. They sharpen you., • Glad to be in the room with people who care as much as you do. Our teams average fifteen-plus years of experience. We hire people who push each other to do better work. The below range reflects the range of possible compensation for this role at the time of this posting. We may ultimately pay more or less than the posted range. This range may be modified in the future. An employee's position within the salary range will be based on several factors including, but not limited to, relevant education, qualifications, certifications, experience, skills, seniority, geographic location, performance, shift, travel requirements, sales or revenue-based metrics, any collective bargaining agreements, and business or organizational needs. The salary range for this role is $200,000 USD - $300,000 USD. We offer a comprehensive package of benefits including a bonus program, paid time off, medical/dental/vision insurance and 401(k) to eligible employees. An offer of employment may be conditional upon successful completion of a background check in accordance with local legislation and our candidate privacy notice. Your current employer will not be contacted without your permission. We are committed to ensuring equal employment opportunities for all job applicants and employees. Employment decisions are based upon job-related reasons regardless of an applicant's race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, marital status, genetic information, protected veteran status, or any other status protected by law.

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.

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.

Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! Figma's AI Tools team builds the AI-powered workflows, platforms, and tooling that make every engineer at the company more productive. From agentic CI auto-fixing and AI-assisted code review to background cloud agents that turn a Slack message into a pull request, this team owns the systems that are transforming how Figma builds software. The team operates across a three-layer platform stack—sandbox runtime, cloud agents, and workflow orchestration—while shipping and maintaining a growing portfolio of org-wide developer workflows that compound across hundreds of engineers. This is a full time role that can be held from one of our US hubs or remotely in the United States. What you’ll do at Figma: • Lead and grow a team of engineers responsible for building and operating Figma's AI developer workflows and the cloud agent platform that powers them, • Own the technical strategy and roadmap for AI Developer Experience, spanning sandbox runtime infrastructure, cloud agent reliability, workflow orchestration, and org-wide agentic workflows, • Hire and scale the team - establishing team culture, execution cadence, and operational processes from the ground up, • Drive the reliability, observability, and scalability of our cloud agent platform, ensuring it meets production-grade standards as adoption grows across the engineering organization, • Partner with product engineering, security, infrastructure, and DevEx teams to identify the highest-leverage opportunities for AI-assisted developer workflows and drive adoption, • Evaluate and integrate emerging AI tools, models, and agent frameworks, making strategic bets on which capabilities to build versus buy, • Establish evaluation frameworks to measure the quality, cost, and impact of AI-generated code and agentic workflows across the organization, • Coach and mentor engineers through career development, performance feedback, and technical leadership, fostering a culture of ownership, speed, and high-quality execution We'd love to hear from you if you have: • 3+ years of experience managing infrastructure, platform, or developer experience engineering teams, with a track record of scaling teams and delivering high-performing systems, • Strong software engineering background, with Staff-level or above technical depth before moving into management with deep understanding of distributed systems, platform architecture, and the operational challenges of running production infrastructure at scale, • Demonstrated fluency with AI/ML systems, LLM-based workflows, or agent architectures - as a builder, not just a consumer - with the ability to reason about tradeoffs in nondeterministic systems, • Experience hiring, onboarding, and growing engineering teams in fast-paced, high-growth environments, • Ability to set technical direction, drive cross-functional alignment, and make sound architectural decisions while balancing speed of execution with long-term sustainability While not required, it’s an added plus if you also have: • Direct experience building AI developer tooling, agent platforms, or AI-assisted engineering workflows, • Familiarity with agent frameworks such as Cursor, Claude Code, or similar background agent systems, including MCP (Model Context Protocol) integrations, • Experience with workflow orchestration platforms such as Temporal, n8n, or Tines for multi-stage automation, • Background in developer experience platforms including CI/CD systems, build tools (Bazel/Blaze), or large polyglot monorepo environments, • Experience building evaluation and quality frameworks for AI-generated outputs At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Pay Transparency Disclosure If based in Figma’s San Francisco or New York hub offices, this role has the annual base salary range stated below. Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. The listed range is a guideline, and the range for this role may be modified. For roles that are available to be filled remotely, the pay range is localized according to employee work location by a factor of between 80% and 100% of range. Please discuss your specific work location with your recruiter for more information. Figma offers equity to employees, as well a competitive package of additional benefits, including health, dental & vision, retirement with company contribution, parental leave & reproductive or family planning support, mental health & wellness benefits, generous PTO, company recharge days, a learning & development stipend, a work from home stipend, and cell phone reimbursement. Figma also offers sales incentive pay for most sales roles and an annual bonus plan for eligible non-sales roles. Figma’s compensation and benefits are subject to change and may be modified in the future. Annual Base Salary Range: $258,000 - $376,000 USD At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an _ - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to _. These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities. Examples of accommodations include but are not limited to: • Holding interviews in an accessible location, • Enabling closed captioning on video conferencing, • Ensuring all written communication be compatible with screen readers, • Changing the mode or format of interviews To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with _.

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.

About Orum _’s AI-powered suite frees salespeople to do what they do best: connect, listen, and sell. Our products gives sales teams everything they need to connect faster, sell smarter, and grow revenue. From intelligent dialing and real-time conversation insights to AI-driven coaching and virtual sales floors, Orum is powering thousands of sales teams to have more meaningful conversations and turn every call into measurable impact. Companies who use Orum connect 5x faster and book millions in new pipeline every month. As a company, we are a remote-first team of builders and dreamers creating a future where work feels more meaningful and connected. If you’re excited to change how the world sells, join us. For more information, visit _ We’re looking for a Staff Full-Stack Engineer to lead end-to-end delivery and drive technical direction across a real-time, high-scale product surface. You’ll architect, build, and evolve systems spanning backend services and modern web UIs that power live calling workflows (e.g., SIP/event-driven softswitch paths, WebSocket-driven experiences, and streaming audio processing), while mentoring engineers and raising the bar for simplicity, performance, and reliability. You’ll partner closely with Product and Design—your technical judgment will directly shape the roadmap as we treat engineering, product, and design as equal partners. The Product Platform team sits at the center of Orum’s architecture, building the foundational systems that power every product. You’ll work on CRM integrations (Salesforce, Outreach), identity and access, and the data flows that keep customer systems accurate and in sync. The team also drives AI-powered prospect enrichment, combining internal and external data to create smarter, continuously improving prospect profiles. Your work has massive leverage, accelerating every team, enabling the platform to scale seamlessly, and unlocking AI-driven innovation by creating the reliable foundations and data flows needed to build smarter, more intelligent products across Orum. Own complex product areas end-to-end—from discovery and design to implementation, rollout, and iteration—operating across Node/TypeScript backends and React frontends. Lead architecture and system design for real-time, high-volume workflows (e.g., call routing on an event-driven SIP softswitch, UI over WebSockets, streaming audio for speech recognition). Author clear technical design docs, set standards for code quality, testing, performance, and observability, and ensure designs scale simply as we grow. Collaborate cross-functionally with PM, Design, and other engineers to translate ambiguous requirements into intuitive, performant experiences; make crisp trade-offs and document decisions. Mentor and uplevel engineers through design reviews, pairing, and feedback; model engineering excellence and foster a culture of craftsmanship and clarity. Improve developer experience (DevEx) and reliability by influencing APIs, data contracts, testing strategies, and progressive delivery practices across teams. Participate in on-call and help uphold operational excellence for the areas you own. 8+ years of professional software engineering experience, including demonstrated Staff-level scope (cross-team technical leadership, strategy, and delivery). Proven track record owning products/features through the full lifecycle—from discovery to deployment and iteration. Expertise with TypeScript/Node.js and modern frontend frameworks (e.g., React), plus strong SQL fundamentals with an RDBMS such as PostgreSQL. Depth in distributed systems or real-time application patterns (e.g., WebSockets/streaming/PubSub), and performance optimization across the stack. Strong product mindset and communication: you simplify complexity, align stakeholders, and connect technical decisions to user and business impact. Cloud infrastructure experience with one of GCP, AWS, or Azure; familiarity with CI/CD and progressive delivery practices. Experience in telephony, SIP softswitches (e.g., FreeSWITCH), or adjacent real-time/event-driven domains. Familiarity with our stack: NodeJS with TypeScript, React, PostgreSQL, Google Cloud Platform, and FreeSWITCH. Remote-first within the United States, collaborating across time zones with strong async habits. Engineering, Product, and Design partner as equals; we value simplicity, clarity, and fast, iterative delivery. NodeJS + TypeScript; React; PostgreSQL; Google Cloud Platform; FreeSWITCH. Remote within the United States (this role is not open outside the U.S. at this time). Base salary range: $200,000–$250,000, commensurate with experience. Flexibility to work anywhere in the U.S. Flexible Vacation Policy. Orum Days Off (first Friday each month, two weeks off at year end, and additional observed holidays). 90% coverage for employees and dependents for medical, dental, and vision. Online behavioral health and virtual healthcare options. Parental leave with quota relief. Life Insurance and AD&D coverage. 401(k) savings plan. Meaningful stock options. $1,000 equipment reimbursement (yours to keep). Company retreats and meetups to connect in person. Company ERG — Women of Orum (WOO). Orum Is An Equal Opportunity Employer We're committed to continually adding to our diverse team that represents various backgrounds, perspectives, and skills. We do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. If you need assistance or accommodation due to a disability, you may contact us at hr@orum.com. In short, we want you to join in on the ride if you're talented for one of our roles, with no other qualifiers.

Smartsheet’s core business functions across Finance, Sales/GTM, and People & Culture. Senior Software Engineer I (Finance Systems),.

The Territory Manager works and travels within a given geographic region. Sales strategy includes the utilization of Civil Engineer and Regional Sales Manager as required. Territory Sales Managers will place special emphasis upon the promotion and sale of Modular Vehicular and Pedestrian Truss bridg

AcuityMD is a software and data platform that accelerates access to medical technologies. We help MedTech companies understand how their products are used, why customers vary, and identify opportunities for physicians to better serve their patients. Each year, the FDA approves ~6,000 new medical devices. Our solution helps MedTech companies get these products to physicians more effectively so they can improve patient care with the latest technology. We're backed by Benchmark, Redpoint, ICONIQ Growth, and Ajax Health. We're a high-growth AI and Data company scaling rapidly. We are a team of agentic builders who rely heavily on AI development practices to accelerate our ability to deliver value to our customers. We believe in extreme ownership and agency, where every engineer takes responsibility for working throughout the organization to land impact with customers. We're a close-knit team that enables high levels of autonomy by constantly communicating our intentions, sharing problems and learnings, and helping each other learn and grow. We are currently looking for Software Engineers to join our growing Application Teams. In this role, you will have the opportunity to work on all aspects of the current product and future product development. You will work with other passionate engineers on complex projects that help bring cutting-edge technologies to patients. In this role, you will have the opportunity to work on all aspects of the current product and future product development. You will work with other passionate engineers on complex projects that help bring cutting-edge technologies to patients. On the Application Team, we're not just engineering software – we're revolutionizing how medical technologies reach those who need them most. Join AcuityMD's Application Engineering Team, driving the core of our product by empowering VPs, marketers, sales ops, and sales reps. We deliver top-tier solutions for MedTech sales teams to define their markets and identify high-potential opportunities to take their business to the next level. Help us shape the future of MedTech sales strategy and performance with data-driven insights and powerful tools. You'll partner with PMs, Designers, and fellow engineers to build end-to-end features across web and mobile. While we focus on delivering great work, we are just as committed to building a fun, collaborative, and supportive team environment – because strong connections help us work even better together! Level up your career while contributing to impactful projects across multiple tech stacks, including JS, React, TS, GraphQL, Node.js, Python, and SQL. • Collaborate and Lead: Team up with everyone, from customers, engineers, product managers, designers and more, shaping solutions to interesting real-world challenges., • Build What Matters: Develop key features and workflows for our products that will change the lives of patients waiting for the latest medical tech., • Data-Driven: Use data insights to identify product enhancements, smooth out performance issues, and discover new opportunities., • Influence Our Culture: Have a say in how we work. Help us streamline our processes and make our team even stronger., • Explore and Innovate: Use your experience to find new tools and technologies that make our scale better and faster., • Mentor and Inspire: Share your knowledge with up-and-coming engineers, helping them grow, • AI: You instinctively build using agentic tools (Claude Code, Codex, etc) and are invested in pushing the boundaries of what is possible with agentic development, • 5+ years as Software engineer working on product domain, • Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience. We believe great talent comes from many paths. We consider a combination of education, training and relevant professional experience when evaluating candidates., • Obsessed about customer needs working in a fast pace environment where driving impact is essential., • Full stack proficiency working with technologies like TS, React, NodeJs, GQL, Postgres or other relational DBs, BigQuery and other google cloud services, or equivalent technologies, • Curious mind and enjoy learning about and working with latest technologies, • Team player that leads with empathy and leads by example You must have an eligible work permit in the USA to be considered for this position. AcuityMD is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, market data and may vary from the range provided. Base Salary Range: $190,000-$250,000. • Ground floor opportunity: Join a high-growth startup, backed by world-class investors across Enterprise SaaS and Medical Devices (Benchmark, Redpoint Ventures, and Ajax Health)., • Learning Budget: Reimbursements for relevant learning and up-skilling opportunities., • Remote work: AcuityMD is committed to supporting full-remote flexibility for employees in the US. We provide a work-from-home stipend for all employees., • Flexible PTO: Generous time off and flexible hours give you the freedom to do your best work., • Paid Health, Dental, and Vision Plans: We offer 100% paid health, dental, and vision plans for all employees and 75% paid for our employees' dependents., • Home Office Stipend: $1,000 to invest in remote office equipment and WiFi reimbursement., • Optional Team Retreats: We meet in-person multiple times per year for co-working and social gatherings., • Parental Leave: 8-16 weeks of fully-paid, flexible parental leave., • Competitive compensation with equity upside. The Company: We are builders, who are inspired by our mission to expand patient access to cutting-edge medical technologies. We value working collaboratively to solve hard problems for our customers with simple, innovative solutions. We push ourselves to learn with empathy. We foster an active culture of mentorship and inclusion, and we welcome new team members that share our values. We're backed by Benchmark, Redpoint Ventures, Ajax Health, and several other leading software and medical device investors. Since Acuity launched in 2020, we've brought on customers ranging from publicly traded Fortune 500 companies to innovative growth-stage companies and regional medical device distributors. The Product: AcuityMD uses data and software to help teams collaborate around the complex relationships they have with the users of medical technologies: doctors. Our platform empowers medical technology companies to see how their products are used, understand why outcomes vary, and identify opportunities where physicians or sites of care can better serve their patients. AcuityMD is an Equal Opportunity Employer AcuityMD is seeking to create a diverse work environment because all teams are stronger with different perspectives and life experiences. We strongly encourage people of all backgrounds to apply. We do not discriminate on the basis of race, gender, religion, color, national origin, sexual orientation, age, marital status, veteran status, or disability status. All employees and contractors of AcuityMD are responsible for maintaining a work culture free from discrimination and harassment by treating others with kindness and respect.

Solutions Engineering at CoLab is a team of mechanical engineers who sit at the intersection of product, sales, and customer success. Focus on the pre-sales experience, partnering with prospective customers to evaluate CoLab and understand how it fits into their workflows and engineering challenges.

As a Staff Backend Software Engineer focused on the Commerce Platform within the Business Platform org, you will play a critical role in building and evolving the systems that power how Dropbox monetizes its products across all sales motions.

The Sales Engineer lives and works in the intersection between sales and engineering. Sales Engineers are the primary technical support for the sales force and are responsible for actively driving and managing the technology evaluation stage of the sales process. You are able to convey customer requ

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.

Who We Are: Interra Health is a fast-growing healthcare technology company transforming how providers and patients navigate the prescription journey. Formed through the merger of DoseSpot, Arrive Health, and pVerify, Interra Health delivers trusted eligibility, real-time coverage and pricing insights, prescribing tools, and pharmacy transparency at the point of care—helping providers make informed decisions and patients access the right medications with greater clarity and affordability. Backed by strong market momentum and a bold vision for the future of connected care, Interra Health offers the chance to join an innovative, mission-driven team working at the intersection of software and healthcare to reduce friction, improve access, and make the healthcare experience better for everyone. The Role: We are looking for a hands-on and operationally minded Lead Developer to own the health, reliability, and continuous improvement of our mission-critical SaaS platforms. This role is intentionally designed for a senior engineer who writes production ready code, leads complex debugging efforts, and sets technical direction for how support-driven engineering work is executed while simultaneously mentoring and managing a team of application support engineers. You will work at the intersection of support, engineering, and operations: triaging escalated incidents, developing hotfixes, identifying systemic failure patterns, and partnering with engineering to reduce recurring issues at their root. You bring a forward-looking mindset to a function that could otherwise be purely reactive — and you use modern AI-assisted tooling to make your team faster and smarter. Key Responsibilities: Incident Management & Technical Triage • Serve as the primary technical authority for production support code paths, hotfixes, and stability-focused enhancements, performing deep-dive technical triage across the full application stack., • Analyze logs, traces, database queries, and application behavior to identify root causes rapidly and accurately., • Develop and communicate clear workarounds to minimize customer impact while permanent fixes are in progress., • Establish engineering standards for support-owned code, including testing expectations, deployment safety and rollback strategy. • Author and deploy targeted hotfixes with appropriate testing and change control, coordinating production releases on Azure. • Maintain SLA compliance and ensure accurate, timely ticket documentation throughout the incident lifecycle. Proactive Problem Management: • Monitor production defect and incident patterns analysis to surface recurring or systemic issues before they escalate. • Build and maintain a problem registry; translate patterns into actionable engineering proposals with clear business impact framing., • Drive post-incident reviews (PIRs) and own the follow-through on corrective action items., • Partner with the product and engineering teams to advocate for platform stability improvements based on real-world support data. AI-Augmented Support Operations: • Champion the adoption of AI and automation tools (e.g., Copilot, AI-assisted log analysis, LLM-based triage assistants) to accelerate issue diagnosis and resolution. • Lead development of internal knowledge bases, runbooks, and automated diagnostic playbooks to reduce mean time to resolution (MTTR). • Identify opportunities to automate repetitive support workflows and implement tooling improvements. Technical Debt & Engineering Collaboration: • Actively engage with the engineering backlog to identify, scope, and prioritize tech debt items impacting platform stability and supportability., • Contribute to or lead the remediation of targeted tech debt items during allocated engineering cycles., • Act as a bridge between the support team's operational insights and the engineering team's roadmap priorities. Team Leadership & Development: • Lead, coach, and mentor a team of application support engineers, providing technical guidance and career development support., • Set team priorities, manage workload distribution, and ensure appropriate on-call coverage., • Establish and refine team processes — ticket workflows, escalation paths, documentation standards, and quality benchmarks., • Define and track key performance indicators and align the team around common goals and continual improvement. • Conduct regular 1:1s, performance reviews, and foster a culture of accountability, learning, and continuous improvement. Required Qualifications: • 10+ years of experience in application support, software engineering, or a combined production-focused engineering role — with at least 3 years in a senior or lead capacity. • Strong hands-on proficiency in .NET / C# for reading, debugging, and writing production-quality code., • Solid understanding of React front-end applications — ability to diagnose UI-layer issues and interpret browser-side errors., • Deep experience with Microsoft SQL Server — proficient in query analysis, execution plan review, and performance troubleshooting., • Demonstrated experience supporting applications hosted on Microsoft Azure (App Services, Azure SQL, Application Insights, Log Analytics, Azure DevOps, etc.). • Proven track record of owning complex, high-stakes production incidents end-to-end., • Experience with structured problem management methodologies (e.g., root cause analysis, 5 Whys)., • Demonstrated ownership of production codebases and responsibility for fixing issues directly in code rather than routing work to another team, Preferred Qualifications: • Experience building or deploying AI/LLM-assisted tooling for support operations (e.g., GitHub Copilot, Azure OpenAI, Claude Code, custom diagnostic bots). • Familiarity with CI/CD pipelines and deployment automation (Azure DevOps, GitHub Actions)., • Exposure to observability and monitoring tooling (Application Insights, Datadog, Grafana, or similar)., • Background in business critical SaaS environments where multi-tenancy, uptime commitments, and customer impact sensitivity are top-of-mind. Healthcare industry experience is a plus. • ITIL Foundation certification or equivalent experience in structured IT service management. Working Conditions & Environment: • Fully remote role within the United States, • Periodic travel (approximately 10%) for team meetings, and company events (as applicable) • Operates in a fast-paced, growth-oriented, PE-backed SaaS environment, • Requires cross-functional collaboration across Product, Sales, Customer Success, and Executive Leadership (edit as applicable) • Ability to manage multiple concurrent product launches and shifting priorities (edit as applicable) Success in this role requires the ability to balance synchronous collaboration with thoughtful asynchronous execution in a remote-first environment 🌍Remote work environment with a flexible work schedule to encourage work-life balance ✈Annual company offsite 🌴Generous leave package including flexible time off policy that encourages team members to take time off to relax and recharge; plus 13 paid holidays, paid sick leave, and paid parental leave 💙 Medical, dental, and vision insurance for you and your family, plus a company funded FSA & HSA (dependent on which medical plan you choose) 💰401(k) company match 💸One-time workspace reimbursement to help you optimize your remote workspace Interra Health is an Equal Employment Opportunity/Affirmative Action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, protected veteran status, disability status, sexual orientation, gender identity or expression, marital status, genetic information, or any other characteristic protected by law.

What is Amplemarket all about? Amplemarket's premise is that a lot of the playbooks used by B2B sales teams that worked 5 years ago don't cut it anymore. In today's environment, sales teams need to have a tremendous amount of information about their prospects to decide when is the best moment and channel to reach out in the most relevant way. You can't do this with 5 different data/sales enablement point solutions that don't share the same data schema and barely communicate with each other. Amplemarket is the all-in-one compound solution that enables this. Our AI-powered sales platform helps B2B companies generate more opportunities thanks to our advanced lead generation engine, hyper-personalized sequencing, omnichannel outreach, and AI-powered smart actions. We are backed by Y Combinator, and we are powering the sales teams at some of the fastest-growing companies in the world like Deel, Moveworks, H1 and Vanta. Important Notice: Beware of Recruitment Scams It has come to our attention that there are fraudulent activities targeting job seekers, where individuals are impersonating Amplemarket by using fake profiles, domains, and emails. Please be informed that Amplemarket always uses our main domain (amplemarket.com) for all hiring and recruitment purposes. Any communication or offer not originating from an amplemarket.com email address should be regarded as suspicious. • We will never request personal financial information (such as bank account details) during the initial application or interview process., • Our hiring process does not involve transferring money or making payments of any kind to secure a position. Amplemarket is not responsible for any loss or damage incurred as a result of job scams or fraudulent activity by third parties misusing our company name. If you have any doubts about the legitimacy of a job opportunity with Amplemarket, please contact our HR department directly. We advise you to verify the authenticity of any job-related communications claiming to be from Amplemarket. If you have any concerns or doubts, please contact us directly through our official channels. Your security is our priority. Thank you for your vigilance and understanding. Are you up for a challenge? Amplemarket welcomes spontaneous applications from talented people who are eager to join our team. We are always on the lookout for exceptional Data Engineers who want to revolutionize the future of sales, while thriving in an incredible Engineering environment. While we may not be prioritizing this opening at the moment - and, therefore, might take a bit longer to get back to you - we review spontaneous applications regularly and if your profile stands out, we’ll definitely want to get to know you 🙂 About the Engineering Team The three co-founders have an engineering background (João, Luís and Mica studied Physics & Computer Science in university) and deeply value the work that engineers are responsible for. Our main goal is to build a sales platform that helps companies grow. Our product requires us to solve a myriad of difficult engineering problems very diverse in nature: from working on NLP models that can extract information from a thread of emails to scaling an Elasticsearch cluster holding terabytes of data. We are deeply aware of the importance of our tool to our customers and look for people that share that vision. In this role, you will be responsible for designing, building, and maintaining the infrastructure and processes necessary for the collection, storage, and analysis of large datasets. You will work closely with our development, product, and data teams to ensure that our data is accurate, reliable, and accessible to support business decision-making, machine learning models, and drive product innovation. You will: • Design and implement data pipelines for the collection, storage, and transformation of data from a variety of sources, • Develop and maintain data models and schema to support data analysis and reporting, • Write and maintain ETL jobs to extract, transform, and load data into our data warehouse, • Collaborate with ML engineers, data analysts, and other stakeholders to understand data requirements and develop solutions to support data-driven decision-making, • Monitor and optimize data pipelines and processes to ensure data quality and performance About you: • Bachelor's or Master's degree in Computer Science, Data Science, or a related field, • 3+ years of experience as a Data Engineer or similar role, • Strong programming skills in Python, Java, or a similar language, • Experience with SQL and data modeling concepts, • Experience with cloud-based data warehousing solutions such as Redshift, BigQuery, or similar, • Experience with ETL tools such as Spark, Flink, Databricks, Snowflake, etc., • Experience with messaging systems such as RabbitMQ, Kafka, etc., • Knowledge of the underlying cloud infrastructure on how the various data pipeline component fit together, • Excellent problem-solving and communication skills, • Based somewhere between the GMT-3 and GMT+2 timezones Some more about Amplemarket: • We are a post-Series A start-up, • Backed by YCombinator, • Strong technical founding team from MIT and IST (also founders of _), • Fast growing startup with product market fit, • Great team spirit We offer: • Nice work environment, • Competitive Salary, • Health Insurance, • Stock Options, • Annual Company Trip in a secret location, • and more Amplemarket is committed to creating an inclusive employee experience for all. Regardless of race, gender, religion, sexual orientation, age, disability, or if you’re parenting the next generation of innovators, we firmly believe that what truly matters is how your skills, knowledge and personality fit our company. So bring your best professional version of yourself, and apply - we'd like to hear from you!

Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy. GTM Experiences defines how Toast engages with, supports, and grows customers across their entire lifecycle. This organization brings together Onboarding, Support, and Product-Led Growth (PLG) into a unified group responsible for designing and delivering a cohesive, end-to-end customer experience powered by intelligent systems and agents. This team builds the platforms and experiences that shape how customers discover value, get started, receive help, and expand their use of Toast. We operate at the intersection of customer experience, agent experience, and product experience, developing systems that enable seamless transitions across lifecycle stages and channels. GTM Experiences owns a broad ecosystem that includes customer onboarding journeys and activation systems, product-led growth surfaces and in-product engagement, customer support experiences and agent tooling, communications and engagement infrastructure, and AI-powered and agent-assisted lifecycle capabilities. As Toast continues to grow, we are reimagining the customer lifecycle as a connected, intelligent platform rather than a set of siloed experiences. GTM Experiences plays a critical role in defining how these systems come together to deliver consistent, scalable, and high-quality experiences from first touch through long-term success. About This Role We are building the Customer Experience Platform that will define how Toast engages, supports, and grows customers at scale. As a Senior Principal Engineer for GTM Experiences, you will serve as the LOB-level technical leader responsible for defining and driving the multi-year strategy that shapes how Toast delivers experiences across onboarding, support, and product-led growth. You will translate business strategy into coherent technical direction, align engineering investments with measurable customer and operational outcomes, and guide the architectural evolution to create a seamless customer journey. This role extends beyond ownership of individual systems or services. You will help define how lifecycle stages connect into a unified experience and drive platform level decisions that unlock business outcomes. You will help define how core components of the support ecosystem — including AI-assisted capabilities, contact center infrastructure, agent tooling, and customer-facing support experiences — work together as a unified platform. You will partner closely with engineering, product, design, Care, Onboarding, and Growth leadership to establish a shared technical vision, make high-impact architectural decisions, and ensure that our platform scales with increasing complexity while improving customer outcomes. Success in this role requires strong systems thinking, platform design expertise, and the ability to operate across organizational boundaries. You will bring clarity to a complex ecosystem, drive alignment across teams, and ensure our investments translate into measurable improvements in customer activation, retention, and support quality. A day in the life (Responsibilities) • Define and drive the multi-year technical strategy for the GTM Experiences LOB, ensuring alignment with company goals and long-term customer experience outcomes., • Lead architectural direction for critical platform capabilities that support customer and agent experiences, including contact center infrastructure, AI-assisted support systems, internal agent tooling, onboarding and activation systems, product-led growth experiences, • Evaluate and de-risk major technical investments such as platform migrations, vendor integrations, and large-scale architectural changes., • Ensure that systems across onboarding, support, and growth operate as a cohesive, extensible platform rather than disconnected point solutions., • Partner with product, design, Care, Onboarding, and Growth leadership to translate strategic goals into scalable technical solutions that improve outcomes and operational efficiency., • Establish architectural principles and engineering standards that support long-term platform scalability, flexibility, and velocity., • Provide technical leadership and mentorship to senior engineers, helping raise the overall engineering bar across the GTM Experiences organization., • Influence technical direction across multiple teams and functions, aligning stakeholders around shared platform decisions and long-term strategy., • Leverage cutting edge AI tools to enhance your development workflow, improve velocity, and help pioneer new approaches to building - contributing to a culture of innovation and productivity across the team. What you'll need to thrive (Requirements) • 10+ years of experience in software engineering, with a strong background building and evolving large-scale distributed systems and customer-facing platforms., • Demonstrated experience defining technical strategy or architecture for complex platforms spanning multiple systems and teams., • Strong systems thinking and platform design experience, with the ability to connect individual services and tools into coherent technical ecosystems., • Proven ability to lead high-impact architectural decisions and guide organizations through complex technical transitions., • Experience influencing technical direction across teams and collaborating with product, design, and operational partners to deliver meaningful business outcomes., • Strong communication skills and the ability to articulate complex technical ideas clearly to both technical and non-technical stakeholders., • A track record of mentoring senior engineers and raising the engineering bar within an organization., • Experience working on customer experience platforms, workflow systems, or other complex operational software environments is strongly preferred. AI at Toast At Toast, one of our company values is that we're hungry to build and learn. We believe learning new AI tools empowers us to build for our customers faster, more independently, and with higher quality. We provide these tools across all disciplines, from Engineering and Product to Sales and Support, and are inspired by how our Toasters are already driving real value with them. The people who thrive here are those who embrace changes that let us build more for our customers; it’s a core part of our culture. Our Total Rewards Philosophy We strive to provide competitive compensation and benefits programs that help to attract, retain, and motivate the best and brightest people in our industry. Our total rewards package goes beyond great earnings potential and provides the means to a healthy lifestyle with the flexibility to meet Toasters’ changing needs. Learn more about our benefits at _. #LI-REMOTE The base salary range for this role is listed below. The starting salary will be determined based on skills, experience, and geographic location. In addition to base salary, our total rewards components include cash compensation (overtime, bonus/commissions if eligible), equity, and benefits. You can learn more about how we align pay with local labor markets in our _. Pay Range $246,000 - $394,000 USD How Toast Uses AI in its Hiring Process Throughout the hiring process, our goal is to get to know you. We use AI tools to support our recruiters and interviewers with tasks like note-taking, summarization, and documentation of interviews to ensure they can be fully focused on your conversation. All hiring decisions are made by people. To learn more: _ Diversity, Equity, and Inclusion is Baked into our Recipe for Success At Toast, our employees are our secret ingredient—when they thrive, we thrive. The restaurant industry is one of the most diverse, and we embrace that diversity with authenticity, inclusivity, respect, and humility. By embedding these principles into our culture and design, we create equitable opportunities for all and raise the bar in delivering exceptional experiences. We Thrive Together We embrace a hybrid work model that fosters in-person collaboration while valuing individual needs. Our goal is to build a strong culture of connection as we work together to empower the restaurant community. To learn more about how we work globally and regionally, check out: _. Apply today! Toast is committed to creating an accessible and inclusive hiring process. As part of this commitment, we strive to provide reasonable accommodations for persons with disabilities to enable them to access the hiring process. If you need an accommodation to access the job application or interview process, please contact _. ------ For roles in the United States, it is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

What’s in it for you? Ready to make a serious impact? Millions of people already rely on Calendly, and we’re still in the midst of exciting product growth — it’s a fantastic time to join us. Everything you’ll work on here will accelerate your career to the next level. If you want to learn, grow, and do the best work of your life alongside the best people you’ve ever worked with, then we hope you’ll consider allowing Calendly to be a part of your professional journey. About the team & opportunity What’s so great about working on Calendly’s Engineering team? We make things possible for our customers through innovation. Why do we need you? Well, we are looking for a Senior Full Stack Engineer who will bring technical know-how and enthusiasm to our team. You will report to one of our Engineering Managers and will be responsible for supporting features and architecture designed to maintain our users’ confidence in Calendly. A day in the life of a Senior Full Stack Engineer at Calendly The Calendly platform is a monolith that is being decomposed into various services in order for us to scale our platform and team. We need ambitious, experienced engineers who can help us drive this stage of growth. As an engineer at Calendly, you will both build new features and work to scale our platform and architecture. You will build tooling and automation to fine tune our delivery process as you grow into a service oriented specialist. You will also learn to work with multiple technologies such as Google Cloud Platform, Go, Typescript, NodeJS, React, PostgreSQL, Redis, Kubernetes, Rails, to name a few. When you join Calendly, you get the opportunity to deliver on a product used by millions and known for its best-in-class quality. Help us continue to deliver critical features to our users with excellence. On a typical day, you will be working on: • Collaborating within your team to build new features that are targeted at our highest impact enterprise customers, • Contributing to platform scaling initiatives, • Meeting regularly with Product and Design to fine tune requirements, • Attending agile ceremonies to help your team plan out their work and get it done, • Working across squads to improve Engineering practices at Calendly, • Reviewing implementation plans and pull requests from your peers, • Mentoring and coaching other team members What do we need from you? • 7-10 years of professional software development experience in a SaaS or technology-driven environment., • Strong, hands-on full-stack engineering skills, with the ability to independently design, build, and ship production changes across frontend and backend systems, • Experience building and maintaining Node.js services that interface with distributed APIs, LLMs, or similar mixed-stack environments., • Hands-on experience with Service-Oriented Architectures (SOA), microservices, and involvement in monolith-to-services modernization or large-scale refactoring initiatives., • Proven ability to own features end-to-end, including technical discovery, design, implementation, testing, release, and ongoing maintenance., • Strong analytical and problem-solving skills, with the ability to dissect complex systems, identify root causes of issues, and deliver scalable, maintainable solutions., • A commitment to writing clean, reliable, and maintainable code, with an emphasis on readability, simplicity, and performance., • Adaptability to new technologies, evolving architectural patterns, and changing organizational priorities., • Experience using AI coding assistants (Copilot, Cursor, etc.) as productivity tools, with a clear understanding of generated code and the ability to defend implementation choices., • Availability for participation in an on-call rotation, ensuring timely and effective responses to critical production issues outside of regular working hours., • Authorized to work lawfully in the United States, as Calendly does not offer immigration sponsorship at this time. Tier 1 Salary Hiring Range $224,400 - $271,920 USD Tier 2 Salary Hiring Range $205,700 - $249,260 USD Tier 3 Salary Hiring Range $187,000 - $226,600 USD The ranges listed above are the expected annual base salary for this role, subject to change. Calendly takes a number of factors into consideration when determining an employee’s starting salary, including relevant experience, relevant skills sets, interview performance, location/metropolitan area, and internal pay equity. Base salary is just one component of Calendly’s total rewards package. All full-time (30 hours/week) employees are also eligible for our Top Performer Bonus program (or Sales incentive), equity awards, and competitive benefits. Calendly uses the zip code of an employee’s remote work location, or the onsite building location if hybrid, to determine which metropolitan pay range we use. Current geographic zones are as follows: • Tier 1: San Francisco, CA, San Jose, CA, New York City, NY, • Tier 2: Chicago, IL, Austin, TX, Denver, CO, Boston, MA, Washington D.C., Philadelphia, PA, Portland, OR, Seattle, WA, Miami, FL, and all other cities in CA., • Tier 3: All other locations not in Tier 1 or Tier 2 If you are an individual with a disability and would like to request a reasonable accommodation as part of the application or recruiting process, please let your Recruiter know when first connecting with them. Calendly is registered as an employer in many, but not all, states. If you are located in Alaska, Delaware, Hawaii, Idaho, Iowa, Montana, Nebraska, North Dakota, Rhode Island, South Dakota, and West Virginia, you will not be eligible for employment. Note that all individual roles will specify location eligibility. All candidates can find our Candidate Privacy Statement_ Candidates residing in California may visit our Notice at Collection for California Candidates here:_ This role may require occasional travel for company events, team collaboration, or offsites.

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.

Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! Figma is seeking a versatile and experienced Machine Learning / AI Engineer to join our growing AI team, working at the intersection of applied machine learning, infrastructure, and product innovation. Whether you’re building intelligent search systems, crafting scalable data pipelines, or enhancing AI-powered creativity tools, your work will drive user productivity, shape new product experiences, and advance the state of AI at Figma. You’ll collaborate closely with engineers, researchers, designers, and product managers across multiple teams to deliver high-quality ML-driven features and infrastructure. This is a high-impact, cross-functional role where you’ll shape both foundational systems and user-facing capabilities. This is a full time role that can be held from one of our US hubs or remotely in the United States. • Design, build, and productionize ML models for Search, Discovery, Ranking, Retrieval-Augmented Generation (RAG), and generative AI features., • Build and maintain scalable data pipelines to collect high-quality training and evaluation datasets, including annotation systems and human-in-the-loop workflows., • Collaborate with AI researchers to iterate on datasets, evaluation metrics, and model architectures to improve quality and relevance., • Work with product engineers to define and deliver impactful AI features across Figma’s platform., • Partner with infrastructure engineers to develop and optimize systems for training, inference, monitoring, and deployment., • Explore new ideas at the edge of what’s technically possible and help shape the long-term AI vision at Figma., • 5+ years of industry experience in software engineering, with 3+ years focused on applied machine learning or AI., • Strong experience with end-to-end ML model development, including training, evaluation, deployment, and monitoring., • Proficiency in Python and familiarity with ML libraries like PyTorch, TensorFlow, Scikit-learn, Spark MLlib, or XGBoost., • Experience designing and building scalable data and annotation pipelines, as well as evaluation systems for AI model quality., • Experience mentoring or leading others and contributing to a culture of technical excellence and innovation., • Familiarity with search relevance, ranking, NLP, or RAG systems., • Experience with AI infrastructure and MLOps, including observability, CI/CD, and automation for ML workflows., • Experience working on creative or design-focused ML applications., • Knowledge of additional languages such as C++ or Go is a plus, but not required., • A product mindset with the ability to tie technical work to user outcomes and business impact., • Strong collaboration and communication skills, especially when working across functions (engineering, product, research). At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Pay Transparency Disclosure If based in Figma’s San Francisco or New York hub offices, this role has the annual base salary range stated below. Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. The listed range is a guideline, and the range for this role may be modified. For roles that are available to be filled remotely, the pay range is localized according to employee work location by a factor of between 80% and 100% of range. Please discuss your specific work location with your recruiter for more information. Figma offers equity to employees, as well a competitive package of additional benefits, including health, dental & vision, retirement with company contribution, parental leave & reproductive or family planning support, mental health & wellness benefits, generous PTO, company recharge days, a learning & development stipend, a work from home stipend, and cell phone reimbursement. Figma also offers sales incentive pay for most sales roles and an annual bonus plan for eligible non-sales roles. Figma’s compensation and benefits are subject to change and may be modified in the future. Annual Base Salary Range: $153,000 - $376,000 USD At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an _ - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to _. These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities. Examples of accommodations include but are not limited to: • Holding interviews in an accessible location, • Enabling closed captioning on video conferencing, • Ensuring all written communication be compatible with screen readers, • Changing the mode or format of interviews To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with _.

Developer Experience sits at the intersection of engineering, education, and marketing. In this role, you’ll create demos, articles, docs, and technical content that help developers adopt new tools with confidence. We’re looking for someone who can translate technical capability into clear, credible developer experiences that accelerates the business. Required Location: North America or Europe Create content like articles, guides, talks, videos, landing pages, and demos. Develop integrations, plugins, and micro-sites. Run programs like webinars and workshops Partner with Marketing and Sales to embed developer voice in campaigns. Collect feedback from the field and distill developer pain points for Product. Maintain a high bar for technical knowledge to earn developer trust You’ve built real software and held a developer experience, relations, or equivalent role. Mission-oriented: You’re humble, curious, and motivated by delivering outcomes Extensive front-of-frontend experience (e.g animations, tricky layouts) Strong portfolio of technical communication: articles, talks, tutorials, or videos. Excellent communication for both developer and business audiences. Demonstrable success working with Marketing and Sales on developer-facing campaigns. Proven ability to build trust with developer communities. _ - CxO _ - Marketing _ - DX Engineer _ - DX Engineer Salary Range: US$175K - US$194K + equity. Learn more about our compensation philosophy . For a list of our other benefits & a peek into life at Chromatic, visit .

Atmosera empowers businesses to redefine what's possible with modern technology and human expertise. Our exceptional experience across Applications, Data & AI, DevOps, Security, and the Microsoft Azure platform enables organizations to accelerate innovation, enhance security, and optimize operational agility. As a Microsoft Partner with seven specializations, GitHub AI Partner of the Year, a member of the GitHub Advisory Board, and a member of the prestigious Microsoft Intelligent Security Association (MISA), Atmosera expertly delivers cutting-edge, integrated solutions that deliver business value. We are seeking a highly consultative, client-facing Solution Architect specializing in Azure Data Platform to serve as a technical pre-sales leader within our Data practice. This role is centered on data architecture leadership, helping clients define and realize modern data platforms, integration patterns, data modeling standards, and governance foundations on Azure. AI is an important part of our offerings, and this role ensures the data architecture is designed to enable analytics and AI solutions responsibly at scale. This is a high-impact role where you will partner closely with sales teams to lead discovery, solution design, and deal shaping activities, guiding clients from early-stage conversations through proposal, estimation, and successful deal closure. You will bring deep expertise across the Azure Data Platform to design scalable, secure, and governed data solutions. You will translate complex technical concepts into clear business value—connecting data strategy, platform choices, operating model, and delivery approach. You will also help clients understand how strong data foundations accelerate successful analytics and AI adoption in production. Technical Pre-Sales Leadership & Data Discovery • Lead client-facing discovery sessions to understand business drivers, domain context, data products/use cases, and platform constraints., • Assess current-state data architecture and maturity across ingestion, integration, storage/compute, data quality, metadata, lineage, security, and governance., • Identify opportunities to modernize data estates (cloud, lakehouse/warehouse, medallion, integration patterns) and improve time-to-value for analytics., • Translate business challenges into data architecture solution options, including the data foundations required to enable AI/ML and GenAI initiatives. Solution Architecture & Scoping • Architect end-to-end Azure data platform solutions, including:, • Modern data platforms (Microsoft Fabric, Synapse, Databricks, ADLS), • Data integration and orchestration (ADF, Fabric pipelines), including patterns for batch, streaming, and CDC, • Data modeling (conceptual/logical/physical), semantic modeling, and BI enablement (Power BI), • Security, governance, and platform operations (RBAC, networking, encryption, monitoring, cost management), • Data quality, catalog/metadata, lineage, and master/reference data considerations, • Define how analytics and AI will consume and be governed by the data platform, including:, • AI/ML and GenAI enablement patterns (feature/serving, vector search, RAG data pipelines) using Azure Machine Learning and Azure OpenAI as needed, • Responsible AI and data controls (privacy, sensitivity labels, access patterns, auditability), • Define solution scope, delivery approach, and assumptions., • Develop Statements of Work (SOWs), proposals, and platform estimates, ensuring alignment to client goals, timelines, and budgets. Data Strategy, Governance & Enablement • Guide clients on data strategy and target-state architecture, including data product thinking, operating model, and a pragmatic modernization roadmap., • Define patterns for governance (policies, stewardship, catalog/metadata, lineage), security, privacy, and compliance across the data estate., • Advise on use case prioritization across data platform modernization, analytics/BI, and AI/GenAI—anchored in data readiness and measurable outcomes., • Demonstrate the “Art of the Possible” by showing how a strong data architecture accelerates AI adoption (e.g., trusted datasets, governed access, RAG-ready knowledge, and monitoring-ready pipelines). Microsoft Co-Sell & Go-To-Market Support • Partner with Microsoft field teams as the technical lead for Azure Data Platform pursuits, with AI/analytics included as part of the broader solution when applicable., • Deliver technical presentations, architecture workshops, and demonstrations focused on data platform modernization and governed analytics, with AI examples as needed., • Align solutions to Microsoft strategic priorities, including Fabric and Azure data services; incorporate Azure OpenAI/Azure AI capabilities when they materially support client outcomes., • Position clients for funding programs and incentives tied to modernization and innovation. Proposal Development & Deal Shaping • Own the technical components of proposals, including:, • Data architecture diagrams (ingestion/integration, lakehouse/warehouse, governance/security, and consumption), • Solution narratives (business + technical) that clearly articulate data value and a delivery approach, • When required, an AI enablement layer (e.g., RAG-ready data pipelines and governed access to models), • Shape deals that balance feasibility, scalability, security, and time-to-value., • Ensure solutions are structured for incremental value delivery (assessment → foundation → migration/modernization → optimization), with AI delivered only after the data foundation is production-ready. Client & Internal Enablement • Lead workshops on data platform modernization, data modeling, governance, and analytics enablement., • Provide architectural guidance to delivery teams, ensuring continuity from pre-sales through implementation., • Contribute to reusable assets, including data architecture patterns, accelerators, governance templates, and reference architectures. Core Technical Expertise • Deep experience designing Azure Data Platform architectures, including:, • ADLS, Microsoft Fabric, Synapse, Databricks, • Ingestion/integration patterns (batch, streaming, CDC), transformation, and orchestration, • Data modeling (dimensional, Data Vault, and domain-aligned approaches) and semantic models, • Governance and platform operations (catalog/metadata, lineage, data quality, security, monitoring, cost controls), • Strong experience defining data architecture standards (reference architectures, patterns, decision records) and guiding teams to implement them consistently., • Working knowledge of AI/ML and Generative AI as consumers of the data platform. Architecture & Design • Proven ability to design scalable, secure, and production-grade data architectures (reliability, performance, cost, and operability) across enterprise workloads., • Strong grasp of data governance, privacy, and compliance considerations, including how they affect analytics and AI consumption., • Understanding of how modern data platforms enable analytics and AI/GenAI delivery (data products, trusted datasets, monitoring-ready pipelines). Consultative & Pre-Sales Skills • Strong experience in pre-sales solutioning, including discovery, qualification, and deal shaping., • Proven ability to create proposals, SOWs, and cost estimates for complex Data & AI engagements., • Ability to clearly articulate business value of data, AI, and agentic systems, including ROI and operational impact., • Skilled in leading executive-level discussions, workshops, and whiteboarding sessions. Collaboration & Communication • Experience working in Microsoft co-sell environments, particularly around Azure data platform modernization (with analytics/AI as applicable)., • Strong collaboration across sales, delivery, and engineering teams., • Excellent storytelling and presentation skills, especially around data modernization and governed analytics transformation journeys. Preferred Certifications • AZ-305: Designing Microsoft Azure Solutions, • DP-203: Azure Data Engineer Associate, • Microsoft Fabric / DP-600 (preferred), • AI-102: Azure AI Engineer Associate (nice to have), • Azure AI Foundry / GenAI-related certifications (emerging, optional) This is a contractor position with the ability to work from home but may require travel to a client site. Atmosera is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. All employment is decided on the basis of qualifications, merit, and business need.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.

VISO TRUST is a high-growth B2B SaaS Third Party Risk Management (TPRM) solution. Our AI-driven platform automates and accelerates traditional vendor risk assessments, providing comprehensive risk management at scale through continuous monitoring, risk remediation, Nth party intelligence, and seamless enterprise workflow integrations. Our platform is trusted by some of the largest financial, technology, and healthcare organizations globally, with a nearly 100% customer retention rate over the past four years. As we continue to expand, we are looking for an experienced sales leader to drive our next phase of growth. About You You thrive in environments with high entropy and evolving structure, bringing a collaborative, ambitious, and mission-driven mindset to complex problems. You recognize that security is a business enabler and know how to build systems that earn trust while helping customers move faster. You are energized by emerging paradigms in AI, especially the challenge of orchestrating intelligent agents and designing the knowledge, context, and intelligence layers they depend on to deliver meaningful outcomes. About the Job We are looking for an AI Engineer to help define and execute our roadmap for agentic systems and intelligence infrastructure. You will work directly with our team to design, prototype, and productionize systems that orchestrate agents and manage the knowledge, context, and intelligence gathering that inform our clients. This is a highly dynamic, cross-functional role spanning early-stage experimentation, architecture, prototyping, workflow design, and product development. • 5+ years of professional experience designing, building, and maintaining production-grade intelligent systems and distributed platform infrastructure., • Hands-on experience building AI-powered products, including LLM-based multi-agent workflows, retrieval pipelines, and knowledge-driven applications., • Strong foundational knowledge of core AI concepts, including Retrieval-Augmented Generation (RAG), automated evaluations, prompt engineering, and agentic reasoning frameworks., • Experience building scalable, high-performance data and application pipelines that support the reliable and secure execution of resource-intensive AI workflows., • Experience with multi-tenant system design, with a focus on implementing secure data practices and proper segmentation when building or interacting with AI workflows., • Understanding of RESTful APIs and real-time communication protocols, including building robust streaming pipelines (SSE) for AI-driven user experiences. At VISO, our people are our greatest asset. We are committed to the health and prosperity of our team and to rewarding great work. We offer competitive compensation including salary, equity and a comprehensive benefits package. #LI-RemoteWe 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.

Location: Remote — United States (US (New York or East Coast) - Remote Type: Full-time Kestra is the open-source declarative orchestration platform that simplifies complex data workflows and business processes. We bridge the gap between engineering and business logic, allowing teams to build, scale, and monitor pipelines with clarity and control. In March 2026, we closed a $25M Series A led by RTP Global, with participation from Alven, ISAI, and Axeleo – backed by founders from Datadog, dbt Labs, and Hugging Face. As our Enterprise adoption grows, we’re looking for a hungry, technical self-starter who wants to grow into a senior Solutions Engineer role over time. You’ll be working with experienced field engineers and architects — but you’ll be expected to take initiative, learn quickly, and grow quickly into the role. As an Associate Customer Success / Solutions Engineer, you’ll sit at the intersection of Sales, Prospects, Product, and Community. This is a growth role — you will be expected to: Take ownership of opportunities and grow into larger ones Learn how to run POCs, triage issues, and guide customers toward best practices Develop into a trusted technical advisor over time You will work closely with senior Solution Engineers and receive structured mentorship. The goal is simple: grow you into a full 360° technical advisor with 12 months. 🚀 Pre-Sales & Solutions Assist in technical discovery calls with prospects Support senior engineers in designing and running Proof of Concepts (POCs) Build, refine, and deliver demo environments and example workflows Take ownership of smaller POCs and mid-market opportunities Learn how to position Kestra Enterprise against legacy solutions 🤝 Customer Success Support onboarding sessions and customer training workshops Help triage support issues and coordinate with Engineering Reproduce bugs and test workarounds Document customer architectures and best practices Participate in quarterly customer reviews alongside senior team members You will be expected to grow into leading full lifecycle ownership of accounts. 🌎 Community & Product Advocacy Engage with our open-source community on Slack and GitHub Create internal documentation and reusable demo flows Contribute blog posts, tutorials, or short technical videos as you grow more confident Surface recurring customer friction points to Product Mindset First Strong curiosity and desire to learn orchestration deeply Comfortable saying “I don’t know — let me find out” Self-starter who takes initiative rather than waiting for direction Growth-oriented: actively seeks feedback and improvement Strong problem-solving instincts Comfortable operating in ambiguity and a fast-moving startup Technical Background You may not check every box — that’s okay. Previous experience in a highly technical role (Solutions Engineer, Support Engineer, DevOps, Data Engineer, or similar) Hands-on experience in at least one of: Data engineering workflows Infrastructure automation Cloud-native application development Basic familiarity with Docker and containers Exposure to Kubernetes (even at a learning level) Very comfortable reading YAML configuration files Programming experience in Python or similar scripting language Basic knowledge of SQL Experience with orchestration tools (Airflow, Prefect, Dagster, etc.) Exposure to Terraform or Infrastructure-as-Code Experience with AWS, GCP, or Azure Understanding of CI/CD pipelines Interest in AI/LLM workflows or MLOps Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience 1–3 years in a customer-facing or highly collaborative technical role Strong written English and verbal communication skills Ability to explain technical concepts clearly to different audiences Comfortable working remotely with a distributed team Willingness to learn quickly and take ownership of problems Within 6 months, successful candidates will: Independently run complex POCs Lead full customer lifecycle engagements Design production architectures Influence product roadmap through field insights Represent Kestra at meetups and events Remote-First: Work from anywhere in the U.S. Mentorship: Direct exposure to senior solution architects High Impact: You’ll help shape our Field Engineering playbook Open Source: Your work impacts thousands of users globally Modern Stack: Cloud-native, orchestration, AI agents, platform engineering Benefits: Healthcare, 401K, HSA, PTO, parental leave Send us your CV and a brief note answering: What’s the most interesting workflow or automation you’ve built — and what made it challenging? We care more about how you think than how many tools you’ve used.

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.

Location: US (New York or East Coast) - Remote Type: Full-time Kestra is the universal orchestration platform — open source, declarative, and designed to orchestrate data pipelines, IT automation, business workflows, and AI/agentic systems. Kestra is the fastest-growing open-source orchestration project in the world — close to 30,000 GitHub stars, hundreds of contributors, and a global community scaling rapidly across engineering, data, and IT teams. Following a $25M Series A, we're accelerating our US expansion while already operating at scale in Europe. Every organization runs on workflows — thousands of them, mission-critical, often invisible until they fail. Most of these workflows are trapped in legacy orchestration platforms built 15 or 20 years ago. These systems cost millions to maintain, take months to modify, create deep vendor lock-in, and were designed for a world that no longer exists. At the same time, the rise of cloud, microservices, AI agents, and multi-team architectures has created an explosion of operational complexity that these platforms were never built to handle. Kestra was created to solve this problem. Born from a real failure — a large-scale Airflow deployment that could not meet the requirements of a 30,000-employee enterprise — we built an open-source orchestration platform that any engineer can adopt in minutes, that replaces seven-figure legacy systems in days, and that provides full visibility and control over every workflow across the organization. We are trusted by Bloomberg, JPMorgan Chase, Deutsche Telekom, Toyota, BHP, Crédit Agricole, and FILA — all acquired without outbound sales in their respective markets. Our ambition is to become the orchestration standard for every enterprise. Not a point solution. Not a dev tool. The execution backbone — one engine, every use case, every team. We are not riding a hype cycle. We are solving a structural problem that grows with every layer of complexity the industry adds. Building Kestra requires persistence, adaptation, and rigorous execution over time. We are looking for people who think the same way. We're looking for a Head of Sales to own the global revenue number, build the team, and define the motion that makes growth repeatable. Based in the US, you will lead Kestra's commercial expansion globally — starting with the US market while working in close coordination with the European team. This is a builder-manager role. You will design the sales process, lead and grow an existing team of Sales Leads and Solution Engineers, and create the conditions for the team to perform consistently. You will be present on strategic deals as an executive sponsor — providing executive alignment, navigating procurement, and unlocking stalled cycles — but you are not the primary closer. Your job is to build a machine that scales, not to be the machine yourself. You report directly to the CEO and work closely with Customer Operations, Product, and Marketing/PMM. Kestra starts where engineers live — open source, self-hosted, community-adopted. Thousands of organizations are already running Kestra in production before they ever talk to sales. The Head of Sales needs to understand how to build an enterprise motion on top of that reality: converting community signal into pipeline, working with technical champions, and building a compelling enterprise narrative without alienating the developer base. This is the core challenge of the role, and the thing that makes it different from a standard enterprise SaaS sales leadership position. Experience with OSS-led or PLG-to-enterprise motions — at companies like Confluent, HashiCorp, Grafana, dbt Labs, or equivalent — is a strong differentiator. The Head of Sales is the architect of a scalable sales system. You move from selling to organizing and optimizing a system that sells at scale — defining the strategy, building repeatable processes, and assembling the team. Your primary objective is to make revenue growth predictable and data-driven. Own the number — You own global ARR. That means owning the pipeline generation strategy, forecast accuracy, and the commercial outcomes of the team. You are the executive presence on strategic deals, not the primary closer. Build and lead the team — You lead an existing team of AEs, Sales Leads, and SEs, and grow it deliberately. You set the bar for coaching culture, hiring standards, and execution discipline. Define the motion — You design the playbooks, qualification framework, POC policy, and sales process that make results repeatable. You turn what works into something others can run. Align the go-to-market — You work closely with Marketing on pipeline generation, positioning, and proof content. You partner with Customer Operations on expansion and NRR. You feed structured market signal back to Product without turning every deal into a roadmap request. Proven track record building and scaling a B2B enterprise sales team in developer tools, infrastructure, data/AI tooling, or open-source software Experience with OSS-led or PLG-to-enterprise GTM motions — you understand how to turn a technical community into a sales pipeline Has operated in a Series A/B environment and knows what "builder" actually means in practice: no inherited playbook, no mature SDR team, no established brand in the market Comfortable with complex enterprise sales: security reviews, procurement cycles, multi-stakeholder alignment, long deal cycles Able to define a clear wedge for a general-purpose platform and build a playbook others can run and repeat High standards, low ego — coaching-oriented, execution-focused, and honest about pipeline reality Bonus points Background in orchestration, infrastructure automation, or workflow management Familiarity with technical buyers and developer communities Experience selling into IT, platform engineering, or data engineering personas Global team ARR / bookings and attainment vs. target Pipeline coverage, generation rate, and SQL → Close conversion Win rate, average cycle length, ACV Forecast accuracy Rep ramp time and productivity per rep NRR / avoidable churn (shared with CS) Real ownership in a globally distributed, technical team Direct line to the CEO and full visibility on company strategy A product already running mission-critical workloads at Fortune 500 companies Competitive compensation, equity, and health insurance Base: US (East Coast preferred), fully remote. Regular travel to customers, industry events, and team offsites. Close coordination with the European team across time zones.

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 Tiger Data, formerly Timescale, we empower developers and businesses with the fastest PostgreSQL platform designed for transactional, analytical, and agentic workloads. Trusted globally by thousands of organizations, Tiger accelerates real-time insights, drives intelligent applications, and powers critical infrastructure at scale. As a globally distributed, remote-first team committed to direct communication, accountability, and collaborative excellence, we're shaping the future of data infrastructure, built for speed, flexibility, and simplicity. As Head of Customer Experience at Tiger Data 🐯, you will lead the teams responsible for how customers adopt, grow, troubleshoot, and succeed with Tiger Data after they buy. This is a pivotal role for a pivotal moment. Tiger Data is expanding into larger enterprise accounts, and we need a senior customer leader who can help us build the operating system for that next stage of growth: how we serve customers, how Customer Success and Technical Support work together, how we partner with Pre-Sales and Implementation, how we surface customer signal back into Product and Engineering, and how we turn great customer experience into retention, expansion, and trust. This is not a “manage from the sky” role. You’ll lead managers and build scalable systems, but you’ll also be close to the work: jumping into customer escalations, pressure-testing processes, coaching leaders, inspecting account health, and helping the team make crisp decisions when the playbook is still being written. We need someone who can zoom out to design the system, then zoom back in to fix the handoffs, coach the team, and help unblock a customer escalation. You will report to our VP of Engineering and lead the Customer Success and Technical Support organizations. 📍 This role is remote. We are open to candidates in North or South America. Due to the distributed nature of our team and customer base, flexibility working across Europe and US time zones is a requirement. What you will be responsible for in this role: Leading Tiger Data’s Customer Success and Technical Support organizations, including managers and highly technical customer-facing teams. Building and operationalizing Tiger Data’s customer experience strategy for our next phase of growth, especially as we expand into larger enterprise accounts. Partner to define clear ownership across Customer Success, Technical Support, Pre-Sales, Implementation, Sales, Product, and Engineering so customers experience one Tiger Data team, not internal handoffs. Designing customer segmentation, engagement models, escalation paths, support coverage, success planning, health scoring, and renewal/expansion motions that scale. Driving measurable improvements in adoption, retention, gross revenue retention, net revenue retention, expansion, customer satisfaction, time-to-resolution, support quality, and executive visibility into customer health. Acting as the executive voice of the customer internally, turning customer trends, escalations, support patterns, and adoption signals into clear recommendations for Product, Engineering, GTM, and company leadership. Building the next generation of customer operating rhythms: QBRs/EBRs, escalation reviews, customer health reviews, renewal risk reviews, expansion planning, support quality reviews, and executive customer reporting. Coaching and developing managers while staying hands-on enough to understand the reality of the team’s work, customer pain points, and operational gaps. Using AI thoughtfully to improve the customer experience and team productivity, including support workflows, knowledge management, customer health insights, escalation analysis, team enablement, and customer communication quality. Hiring, developing, and retaining high-performing customer leaders and individual contributors who can operate with urgency, technical curiosity, ownership, and customer empathy. Building systems and processes that make the team sharper, faster, and more accountable, without slowing down the startup pace that makes Tiger Data work. You could be a great fit if you: Have significant experience leading Customer Success, Technical Support, Customer Experience, or post-sales teams in a high-growth B2B SaaS, infrastructure, database, developer tools, cloud, or technical platform company. Have managed managers and led teams that include highly technical customer-facing talent, such as Technical Support Engineers, Customer Success Managers, Solutions Engineers, TAMs, or similar roles. Have built or transformed post-sales operating models for enterprise customers, including segmentation, health scoring, adoption motions, renewal risk management, support models, escalation processes, and expansion partnership with Sales. Understand how to serve technical customers. You do not need to be an engineer, but you need enough technical depth to build credibility with database, infrastructure, platform, and developer audiences. Can operate at both strategic and tactical altitude: you can define the customer experience vision, communicate it to executives, and then jump into the messy details of churn risk, support escalations, or broken handoffs. Have strong executive presence with customers and internal leaders, including the ability to navigate high-stakes escalations, renewals, expansion conversations, and roadmap trade-offs. Know how to partner deeply with Sales, Pre-Sales, Implementation, Product, and Engineering without creating turf wars. You clarify ownership, reduce friction, and make the customer journey easier to run. Are highly metrics-driven and can use data to diagnose customer risk, support quality, adoption patterns, renewal health, expansion opportunities, and team performance. Have strong AI fluency and curiosity. You are already using, testing, or designing AI-enabled workflows to improve productivity, insight quality, customer communication, knowledge management, or operational scale. Are a strong talent builder: you know how to coach managers, set a high bar, give direct feedback, build accountability, and create a team culture that is both high-empathy and high-performance. Thrive in a startup environment where the job is not just to “own the function,” but to build the function while the company is moving fast. Believe that organizations are strongest when they reflect the diversity of the world around them and actively work to make that a reality. You might not be a great fit if you: You want a fully mature enterprise CS and Support machine where the systems, roles, handoffs, dashboards, and escalation paths are already neatly defined. You prefer to manage through layers and dashboards instead of getting close to customers, managers, tickets, escalations, renewal risks, and process gaps. You are uncomfortable with technical products or do not want to learn deeply about databases, PostgreSQL, cloud infrastructure, performance, reliability, or developer/customer workflows. You see Customer Success, Technical Support, Sales, Implementation, Product, and Engineering as separate lanes rather than a single, connected customer experience. You are more comfortable creating a strategy than driving execution, inspecting the work, and holding teams accountable for outcomes. You struggle in fast-moving startup environments where priorities shift, information is imperfect, and leaders are expected to make clear decisions without waiting for perfect structure. You are not excited about using AI to improve how customer-facing teams operate, learn, respond, and scale. We respond to every applicant. We review applications fairly and objectively, and shortlist based on relevant skills and experience. We ensure clear and timely communication throughout your candidate journey. We maintain a rigorous interview process with a high bar, designed to give you the opportunity to meet various team members you'll collaborate with across our organization. Tiger Data, formerly Timescale, sets the standard as the fastest PostgreSQL platform for modern workloads. Trusted by more than 2,000 customers across 25+ countries and powering over 3 million active databases, we enable developers and organizations to build real-time, intelligent applications at scale. Backed by $180 million from top-tier investors, Tiger Data is building the new standard for data infrastructure, built on PostgreSQL, designed for the future. 👉 👉 Want to get a feel for how we work and what we value? Check out our blog post:_ We embrace diversity, curiosity, and collaboration. Whether debating the perfect chicken nugget crunch 🍗, sharing workout routines 💪, or discussing your favorite plants 🌱 and pets 🐾, you'll find your community here. We don't require previous experience with our tech stack, but enthusiasm for learning is key. Our technologies include PostgreSQL, Tiger Cloud, AWS, Go, Docker, Kubernetes, Python, and innovative features like Hypertables, Hypercore, vector search, and real-time analytics. Learn more at or follow us on Twitter (Please note that benefits may vary based on country.) Flexible PTO and comprehensive family leave Fridays off in August 😎 Fully remote opportunities globally Stock options for long-term growth Monthly WiFi stipend Professional development and educational resources 📚 Premium insurance options for you and your family (US-based employees) Ready to join the future of PostgreSQL? We can’t wait to meet you. 🚀🐯

At Emburse, our mission is to humanize work by automating expense management and accounts payable processes, allowing businesses to focus on what truly matters. We are looking for a Solutions Consultant I to join our high-performing Pre-Sales team. In this role, you will act as the technical and product expert, partnering closely with our Sales team to show SMB and Velocity prospects how Emburse can transform their financial workflows. If you are tech-savvy, love solving puzzles, can travel up to 25% and thrive in a fast-paced environment where your impact is visible every day, we want to talk to you. Own the Stage: Deliver compelling, value-focused product demonstrations of the Emburse solution suite to prospective finance, AP, and travel executives. Partner with Sales: Collaborate with regional Account Executives to understand prospect pain points and align our product capabilities with their business goals. Handle the Details: Own technical validation tasks, including responding to RFPs, filling out security questionnaires, and setting up trial environments. Keep Learning: Stay ahead of product updates, industry verticals, and competitive landscapes to remain a trusted advisor to internal teams and external prospects. Support the Community: Assist at trade shows, user conferences, and internal sales meetings to champion the Emburse brand. The Foundation: 1–3 years of experience within a B2B SaaS company—ideally in a customer-facing role like implementation, customer success, technical support, or inside sales. The Voice: Outstanding presentation and communication skills, with a natural ability to command a room (or a Zoom call) and translate technical jargon into business value. The Mindset: A strong technical aptitude. You don't need to be a software engineer, but you should be comfortable discussing software architecture, integrations, and data security. The Agility: A positive, execution-focused attitude with the ability to manage multiple small-to-mid-sized deal cycles simultaneously. An Adaptable Builder: You thrive in fast-paced, growth-oriented environments. Change doesn't rattle you; it motivates you. A Financial Translator: You have an interest in—or exposure to—corporate finance, expense management, or accounts payable workflows. A Lifelong Learner: You love getting under the hood of a new software tool and figuring out how to make it solve real-world problems. Ready to Roll: You are comfortable working from a home office and willing to travel regionally (typically short 2–3 day trips) to support key sales opportunities when required. 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.

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. 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. The Growth team owns the surfaces that turn someone who just signed up into a paying customer who sticks around — onboarding, activation, billing and checkout. The operating mode is simple: find the fastest path to learning, ship it, then standardize and clean up. The Growth team ships in weeks what other teams might take months to do. Two of our exciting projects right now: Agent-forward experience. We're exploring how agents and AI can make the experience better for our customers and demonstrate the value of Close faster. Our focus is helping users get real value from the product, not just automating on their behalf. Creating data from unstructured sources. We're building ways to turn the information customers already have, like their inbox, into a working CRM, so they can skip the manual data entry and see value from Close faster. 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. A seasoned frontend engineer. React is our bread and butter, but perhaps you've worked across Vue, Svelte, or Solid. You pick the right tool for the problem rather than retreating to what you know. You've seen a variety of problems, can collaborate and self-direct. Fluent in experimentation. You understand what data points to capture in an experiment, what a funnel looks like, and how to design a feature so it produces meaningful data — not just ship it and hope. This is the core of the role. Experienced with B2B experiment structure. A strong bonus: you've worked in Amplitude on the implementation side, not just the technical configuration side. Building AI-powered interfaces. You've shipped LLM-backed features for real users and have an opinion on where they're trustworthy, where they fall over, and how to make them feel reliable. You know how to design for streamed responses, uncertain states, and agent-driven UIs. Working with AI daily. You use AI tools in your own workflow to ship faster, write tighter code, and reason about unfamiliar parts of the codebase. We fund the use of AI tools (Claude Code, Codex, and other best-in-class developer tools) and treat learning and experimentation as part of the work. A builder first. You'd rather get the first iteration of a feature in front of fifty customers than spend three weeks fretting over a perfect PR. You ship — and you're comfortable standardizing and cleaning up after the learning lands. Build agent-forward onboarding. An agent that teaches by doing: clicking around, highlighting, demonstrating the app while it talks to the user. You'll own the UI layer that makes an agent feel like a trainer instead of a chat window — and help find the balance between the agent doing everything and the user learning enough to make Close's workflow their own. Turn an inbox into a CRM. Build the experience around our unstructured-data pipeline: a user connects their email, and we surface detected deals, contacts, and a full book of business. Your job is making that moment feel like magic — and making it trustworthy enough to act on. Design experiments, not just features. Decide what to instrument, define the funnel, and structure metrics so a B2B reality (org-level conversion, user-level behavior) still yields clean answers. You'll own this in Amplitude end to end. Work across the whole app. Growth doesn't stay in its lane — onboarding, activation, billing, import, and whatever surface the next experiment needs. The Growth team experiments touch every aspect of the product. Move at learning speed. Fastest path to insight first, then standardize and clean up. You'll ship in weeks what elsewhere takes months, and help decide which prototypes deserve to become permanent. Have ownership and autonomy. The team is relatively new. How Growth frontend engineering works at Close is, in part, yours to shape. Tech you'll touch: TypeScript, React, Vite, Amplitude, CSS Modules, Storybook, Playwright, WebSockets — plus the agent stack behind Chloe. 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.