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Infisical is the open source security infrastructure platform that engineers use for secrets management, certificates, and privileged access management. We help developers and organizations securely manage billions of secrets every month including application configuration, database credentials, certificates, and more. We’ve raised $19M from Y Combinator, Google, and Elad Gil, and our customers include Hugging Face, OpenRouter, LG, and NVIDIA. Join us on a mission to make security easier for all developers — starting with secrets management. We’re looking to hire exceptional talent to join us in building the open source security infrastructure stack for the AI era. About the role As a Commercial Account Executive, you’ll be responsible for growing the customer base and closing net-new logos for Infisical’s secrets management platform. We are building the #1 open-source security infrastructure stack, and you will play a defining role in growing it! You will be working closely with our CEO and the rest of the team on: - Understanding and demonstrating our products to prospects. - Developing, managing, and closing business within accounts in our commercial accounts segment. - Driving the sales cycle from prospect to close and ensuring adoption and consumption of our products. - Collaborating with the engineering team to define customer requirements and communicate timelines. - Identifying current customers with upsell and cross-sell opportunities. - Using innovative sales tools to map, prospect, follow and close your accounts. Overall, you’re going to be one of the defining pieces of our team as we scale to thousands of customers over the next 18 months. Requirements - Experience selling software to a technical audience (bonus: knowledge and experience with open source, security, and/or infrastructure sales) - Demonstrated experience in scaling sales operations from the ground up, including setting up sales processes, and CRM systems. - Credibility, and ability to craft compelling cases for change. - Experience in navigating multi-stakeholder sales (e.g., IC engineer, director, executive leadership). - Based in or willing to relocate to San Francisco, CA or Austin, TX. Team, values & benefits Our team brings experience from companies like Databricks, AWS, Red Hat, and more. We operate primarily as a remote team, but maintain a strong presence in San Francisco, where we have an office. We also get together in person throughout the year for off-sites, conferences, and team gatherings. At Infisical, we offer competitive compensation, including both salary and equity options. Additional benefits, such as a lunch stipend and a work setup budget, are available with more details to be found on our careers page https://infisical.com/careers.

Listed by Infisical for a position based in the United States. Employers on this board attest they are hiring domestically.

Engineering

111 days ago

Sr. DevOps Engineer

TaxGPT · San Francisco, CA, US / Remote (US)

Pay

$140k–160k

Setting

Remote

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Work at a Startup Startup Jobs Resume Review Education How it Works Log In Sr. DevOps Engineer at TaxGPT(S24) $140K - $160K AI tax assistant for professionals and businesses San Francisco, CA, US / Remote (US) Full-time Will sponsor 6+ years Apply now About TaxGPT TaxGPT is building an AI co-pilot for tax accountants to increase their productivity and profit by 10x. About the role About Us TaxGPT is revolutionizing the tax and accounting space with AI-driven solutions tailored for accountants, tax professionals, and SMBs. We're building an AI co-pilot to transform tax workflows, drive efficiency, and simplify compliance. Recently named one of Business Insider’s 30 Early-Stage Startups Most Likely to Become Tech’s Next Unicorns, we'd love for you to join our growing team! Location: US Remote Pay Range: $140k to $160k + Equity + Variable Comp up to 20% of base salary Benefits offered: Medical, dental, vision, 401k + 3% match, life insurance About the Role We are looking for a Senior DevOps Engineer with 7+ years of experience to help build, scale, and secure our infrastructure, deployment systems, and developer operations. This person will play a critical role in improving reliability, performance, security, and engineering velocity across the company. You will work closely with software engineers, product teams, and technical leadership to design and maintain systems that support fast development, stable production environments, and long-term scalability. This is a senior individual contributor role for someone who can operate with high autonomy, own critical infrastructure, make strong architectural decisions, and raise the technical bar across the engineering organization. What You’ll Do Infrastructure and Platform Ownership Own the design, implementation, and long-term health of cloud infrastructure and internal platform systems Build and maintain scalable, secure, and reliable infrastructure across development, staging, and production environments Improve infrastructure automation, environment consistency, and operational resilience Manage networking, compute, storage, observability, and access controls across core systems CI/CD and Developer Productivity Design, improve, and maintain CI/CD pipelines for fast, safe, and repeatable deployments Build tooling and workflows that improve developer experience and reduce operational friction Standardize release processes, deployment practices, and rollback strategies Identify bottlenecks in development and deployment workflows and drive improvements Reliability, Monitoring, and Incident Response Improve system reliability, availability, and performance through strong operational practices Build and maintain monitoring, alerting, logging, and incident response systems Lead root cause analysis and drive permanent fixes for recurring operational issues Establish and improve standards around uptime, recovery, and production readiness Security and Compliance Implement infrastructure security best practices across environments and workflows Strengthen access controls, secrets management, auditability, and system hardening Partner with engineering leadership to reduce operational and security risk Support compliance, backup, disaster recovery, and resilience initiatives where needed Technical Leadership Lead architectural decisions related to infrastructure, deployment systems, and platform reliability Partner with engineering leaders to shape long-term infrastructure strategy Mentor engineers on infrastructure, deployment, observability, and operational best practices Raise the team’s standards through documentation, design reviews, code reviews, and process improvements. What We’re Looking For Required Qualifications 7+ years of experience in DevOps, Site Reliability Engineering, Platform Engineering, or Infrastructure Engineering Strong experience designing and managing production infrastructure in cloud environments such as AWS, GCP, or Azure Deep experience with CI/CD systems, infrastructure automation, and deployment pipelines Strong knowledge of containers and orchestration, including tools such as Docker and Kubernetes Experience with Infrastructure as Code tools such as Terraform, Pulumi, or CloudFormation Strong experience with monitoring, logging, and observability tools Experience improving reliability, security, and scalability in production systems Strong scripting or coding ability in languages such as Python, Bash, or Go Strong understanding of networking, system design, access control, and cloud security fundamentals Preferred Qualifications Experience supporting fast-moving startup engineering teams Experience building internal developer platforms or self-service infrastructure tooling Familiarity with modern security and compliance practices Experience with incident management, postmortems, and operational maturity improvements Experience working closely with backend and application engineering teams to improve system design and delivery quality How We Define Success in This Role A strong Senior DevOps Engineer in this role: operates with high autonomy and needs little day-to-day direction owns critical infrastructure and improves its long-term health makes strong architectural and operational decisions improves developer velocity without compromising reliability or security mentors others and raises the engineering bar across the team brings structure and clarity to complex infrastructure and operational challenges Key Responsibilities: Autonomy Works independently on complex infrastructure and reliability problems Identifies risks and improvements before they become urgent issues Translates broad engineering goals into clear technical plans System Ownership Owns critical infrastructure, deployment systems, and platform reliability Takes responsibility for scalability, resilience, maintainability, and operational health Drives long-term fixes, not just short-term patches Mentoring and Collaboration Guides engineers on infrastructure and operational best practices Improves team effectiveness through documentation, reviews, and technical support Collaborates closely with engineering, product, and leadership teams Architectural Decision-Making Makes sound decisions on cloud architecture, deployment strategy, observability, and security Evaluates tradeoffs carefully across cost, speed, reliability, and complexity Builds systems that scale with company needs Why Join Us You’ll have the opportunity to shape the foundation of our engineering platform and help define how infrastructure, reliability, and developer operations scale as the company grows. This is a high-impact role for someone who enjoys ownership, technical depth, and building systems that make the entire engineering organization stronger. Technology Django React JS NextJs RDS (Relational Data) AWS Kubernetes Azure AI Studio Amazon Bedrock Databricks Apply now Other jobs at TaxGPT Sr. Backend Engineer, Django, US Remote Remote (US) Full-Time $140K - $160K 5+ Years View job Hundreds of YC startups are hiring on Work at a Startup. 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Listed by TaxGPT for a position based in the United States. Employers on this board attest they are hiring domestically.

Engineering

112 days ago

Sr. Manager, Data Engineering & Analytics

Serve Robotics · los angeles, california , United States

Pay

$211k–246k

Setting

Remote

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At Serve Robotics, we’re reimagining how things move in cities. Our personable sidewalk robot is our vision for the future. It’s designed to take deliveries away from congested streets, make deliveries available to more people, and benefit local businesses. The Serve fleet has been delighting merchants, customers, and pedestrians along the way in Los Angeles, Miami, Dallas, Atlanta and Chicago while doing commercial deliveries. We’re looking for talented individuals who will grow robotic deliveries from surprising novelty to efficient ubiquity. WHO WE ARE We are tech industry veterans in software, hardware, and design who are pooling our skills to build the future we want to live in. We are solving real-world problems leveraging robotics, machine learning and computer vision, among other disciplines, with a mindful eye towards the end-to-end user experience. Our team is agile, diverse, and driven. We believe that the best way to solve complicated dynamic problems is collaboratively and respectfully. Responsibilities - Lead the Team: Lead, mentor, and grow a team of data and analytics engineers. This includes hiring, performance management, career development, planning, and setting technical standards. - Technical Leadership: Define the data engineering and analytics roadmap, aligned with company goals. This includes prioritizing data platform investments, reporting needs, analytics capabilities, and cross-functional data initiatives. - Data Platform Ownership: Oversee the design, reliability, scalability, and governance of the company’s data infrastructure, such as data warehouses, data lakes, ETL/ELT pipelines, orchestration systems, semantic layers, and BI tooling. - Analytics Delivery: Ensure business stakeholders have accurate dashboards, metrics, reporting, and ad hoc analysis to support decision-making across functions such as product, operations, finance, sales, marketing, and executive leadership. - Empowering Self-Service: Make self-service an organization-wide goal by building rich, trusted datasets and enabling access through AI-powered natural language interfaces. - Data Quality and Governance: Establish standards for data accuracy, lineage, documentation, access controls, privacy, security, and compliance. Qualifications - 6+ years of professional experience in data engineering and analytics including 2+ years experience leading teams of Sr. Data/Analytics Engineers. - Data leadership experience: Proven experience managing data engineering, analytics engineering, BI, or analytics teams, including hiring, coaching, performance management, and roadmap planning. - Strong technical foundation: Deep understanding of data warehouses, data lakes, ETL/ELT pipelines, orchestration, data modeling, BI platforms, semantic layers, and data quality practices. - Experience with modern data stacks: Hands-on experience with tools such as Snowflake, BigQuery, Redshift, Databricks, dbt, Airflow, Fivetran, Looker, Tableau, Power BI, or similar platforms. - Cross-functional, business-oriented partnership: Strong track record partnering with executives and teams across product, operations, finance, engineering, sales and marketing, translating business goals into data strategy, dashboards and analytics products that improve decision-making. - AI-powered self-service analytics experience: Demonstrated ability to build trusted, governed data products and enable organization-wide access through natural language or AI-powered analytics interfaces, with strong controls for accuracy, security, privacy, compliance and usability. - Data governance expertise: Experience establishing standards for data quality, documentation, access controls, privacy, security, auditability, metric definitions, and trusted data products, including SOX, SOC2 compliance and compliance with international data policies and regulations (e.g., GDPR, data residency requirements). - Education or equivalent experience: Bachelor’s degree in computer science, data science, engineering, statistics, mathematics, information systems, or a related field. Advanced degrees are a plus. *Please note: The listed base salary range applies to candidates based in the US. Compensation may vary depending on location, experience, and role alignment. We are open to qualified candidates working remotely in Canada - Canada - ALL: $179,976 - CAD- $221,828 CAD

Listed by Serve Robotics for a position based in the United States. Employers on this board attest they are hiring domestically.

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