4 open positions available
Manage full revenue cycle for AI-native startups, handling PLG and enterprise deals while partnering cross-functionally. | 5-8+ years SaaS sales with 3+ years technical product sales to engineering/security buyers, SF Bay Area based, technical fluency in Git and CI/CD. | Who is Sonar? Sonar is driving the future of agent-centric software development. As the leader in AI code review and verification, we solve a critical problem: ensuring that software generated by AI-assisted developers or autonomous agents is reliable, secure, and maintainable. Integrating seamlessly with Claude Code, Codex, Cursor, GitHub Copilot, Gemini, and Devin, we help over 75% of the Fortune 100 build trusted, reliable, compliant software. Customers who use Sonar are 44% less likely to report an outage due to AI-generated code. We believe code verification is the critical missing link in the Agent-Centric Development Cycle (AC/DC). Industry giants like Nvidia, ServiceNow, Booking.com, Goldman Sachs, AstraZeneca, and Ford Motor Company count on us to provide independent, explainable, consistent review and governance of their AI-generated code via products like: SonarQube: The world’s leading AI code review and verification platform. SonarQube Foundation Agent: Currently topping the leaderboards for agentic software repair. SonarSweep & Sonar Context Augmentation: Providing the enterprise-grade context and constraints agents need to be truly effective. Our team operates across global hubs in Austin, Bochum, Dubai, Geneva, London, Singapore, Tokyo, and Washington D.C. We move with a mindset we call CODE: Committed to our customers and community. Obsessed with quality. Deliberate in our decisions. Effective as one team. With over $400M in revenue and profitable, fast-paced growth, we are building the backbone of the AI software revolution. If you’re hungry to have an impact, want to build at a fast pace, and ready to work at the forefront of AI, we want to hear from you. About the Role: You will be one of the founding Senior Account Executives on Sonar's AI Sales Specialist team. You'll own a named-account territory of AI-native startups (Series A–C) and digital-native unicorns headquartered in the Bay Area, building pipeline, running developer-led evaluations, and closing six- and seven-figure deals with VPs of Engineering, Heads of Platform/DevEx, and CTOs. This is a full-cycle, high-velocity role inside a category-defining platform. You'll be expected to spend real time in-person with customers — at their offices, at meetups, at our San Mateo office — because the buyers you're selling to value being met where they are. You'll work hand-in-hand with Sonar Solutions Engineering, Developer Advocacy, Product, and Marketing to turn bottom-up developer adoption into expansion-ready enterprise relationships across the Sonar platform. Not every deal in your book requires a six-month enterprise pursuit. Sonar's PLG engine generates real pipeline — workspace signups, GitHub installs, developer trial activity — and a meaningful portion of your revenue will come from converting that signal efficiently into closed deals. You are expected to run both: strategic multi-threaded enterprise engagements with CTOs and VPs of Engineering, and shorter-cycle inside-sales-style closes on PLG-sourced opportunities where the product has already done the heavy lifting. The expectation is velocity where the deal allows it, and depth where the deal demands it. \n Who You Are: You are a technical seller who genuinely cares about developers. You've sold to engineering buyers before — ideally at a dev tools, DevOps, code intelligence, security, or AI infrastructure company — and you know how to navigate a sale that begins bottoms-up and lands at the CTO's desk. You're equally comfortable whiteboarding a CI pipeline with a staff engineer and presenting an ROI model to a CFO. You read AI Twitter / X, you know the difference between Cursor and Copilot, and you have informed opinions about where AI coding agents are headed. You're energized by the pace of an early team, you take ownership without being asked, and you'd rather be in the room than on Zoom. You can close a PLG-converted deal in two weeks and a strategic platform deal in six months, and you bring the same professionalism to both. You do not treat small or mid-market deals as below you — you understand that velocity across the full deal-size spectrum is what builds a healthy book and a strong commission. You are as comfortable running a high-volume sequence in Outreach as you are preparing a board-level ROI story. What You'll Do: Own the entire revenue cycle for your named-account territory: prospecting, technical discovery (with SEs), multi-threaded executive engagement, POV management, commercial negotiation, and close. Generate the majority of your own pipeline through targeted outbound, ecosystem relationships, and in-person presence across the Bay Area. Partner with Developer Advocacy and Marketing to convert PLG signal — workspace signups, evaluation activity, GitHub installs — into qualified enterprise opportunities. Design tailored land-and-expand motions that start from the developer experience and ladder up to platform-wide deals. Build durable relationships with engineering leaders in the Bay Area AI ecosystem and bring their feedback back into Product to shape the roadmap. Help us hire, ramp, and shape the culture of the AI Sales Specialist team as we scale. Convert product-qualified leads (PQLs) — workspace signups, trial activity, GitHub installs — into closed revenue efficiently. For PLG-sourced opportunities where the product has done the qualification work, the expectation is a short-cycle close without over-engineering the process. Manage a mixed book simultaneously: multi-threaded strategic deals and higher-velocity inside-sales-style closes. Know when to invest deeply in a deal and when to accelerate a decision. Maintain rigorous CRM hygiene in Salesforce and run structured outreach sequences via Outreach or Salesloft. Be comfortable being measured on pipeline velocity metrics — time-to-first-meeting, time-to-close, stage-conversion rate — alongside ACV. Experience Required: 5–8+ years of full-cycle, quota-carrying SaaS sales experience. 3+ years selling technical products to engineering, DevOps, platform, or security buyers. Documented track record of consistent quota attainment (President's Club or equivalent is a strong plus). Multiple six-figure ACV deals closed in the last 24 months, ideally including at least one seven-figure deal. Hands-on experience running developer-led / PLG-to-enterprise sales motions where bottoms-up usage data shapes the buying committee. Fluent enough in modern software development — Git, CI/CD, code review workflows, SDLC tooling — to lead a technical conversation without an SE in the room when you have to. Based in the San Francisco Bay Area; willing to be in our San Mateo HQ multiple days per week and physically present with customers across SF, Palo Alto, Mountain View, and the Peninsula. Experience running velocity plays or shorter-cycle inside-sales motions in addition to strategic enterprise selling — comfortable managing higher deal volume, a mix of deal sizes, and PLG-sourced pipeline that moves faster than a traditional enterprise cycle Proficient with inside-sales tooling: Salesforce (SFDC), Outreach or Salesloft, Gong or Chorus. Knows how to run sequencing, track stage-conversion metrics, and manage CRM hygiene without being asked. \n We value diversity, equity, and inclusion At Sonar, we believe that our diversity is our strength. We are a global company that values and respects different backgrounds, perspectives, and cultures. We are committed to fostering a diverse and inclusive work environment where everyone feels valued and empowered to contribute their best. We are proud to be an equal opportunity employer and welcome all qualified applicants, regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. If you need any accommodation, please reach out to us at hiring@sonarsource.com. All offers of employment at Sonar are contingent upon the results of a comprehensive background check and reference verification conducted before the start date. We do not currently support visa candidates in the US. Applications that are submitted through agencies or third party recruiters will not be considered.
Design and implement data ingestion and transformation pipelines using Airflow and DBT, maintain cloud infrastructure, ensure data quality, and collaborate with engineering and data science teams. | Strong experience with Apache Airflow, Python, SQL, cloud platforms, software engineering best practices, and data pipeline orchestration, plus good interpersonal skills and ability to work with non-technical stakeholders. | Are you smart, driven, curious, resourceful, and not afraid to fail? Then we want to meet you! Our team of bold, innovative, and creative teammates is what makes us a top company to work for. SONAR/FreightWaves delivers news and commentary as well as data and analytics which empower risk management and actionable market insights in the logistics and supply chain industry. If you are ready to join our team, it is time for YOU to apply! SONAR/FreightWaves is on the hunt for a curious, tenacious, and team-oriented Senior Data Engineer to join our fast paced engineering team. The ideal candidate is inquisitive, versatile, team oriented, thrives on change, and has a positive attitude. If you are ready to be challenged, learn new and exciting technologies, and have the unique opportunity to work with some of the most talented developers in the country, we want you to apply! *This position is fully remote.* *Must RESIDE in the United States and be eligible to work within the US.* What you will be doing: Implementing ingestion pipelines, using Airflow as the orchestration platform, for consuming data from a wide variety of sources (API, SFTP, Cloud Storage Bucket, etc.). Implementing transformation pipelines using software engineering best practices and tools (DBT) Working closely with Software Engineering and DevOps to maintain reproducible infrastructure and data that serves both API-only customers and in-house SaaS products Defining and implementing data ingestion/transformation quality control processes using established frameworks (Pytest, DBT) Building pipelines that use multiple technologies and cloud environments (for example, an Airflow pipeline pulling a file from an S3 bucket and loading the data into BigQuery) Create and ensure data automation stability with associated monitoring tools. Review existing and proposed infrastructure for architectural enhancements that follow both software engineering and data analytics best practices. Working closely with Data Science and facilitating advanced data analysis (like Machine Learning) What you bring to the table: Strong working knowledge of Apache Airflow Experience supporting a SaaS or DaaS product, bonus points if you were creating new data products/features Strong in Linux environments and experience in scripting languages Python Expert Strong understanding of software best practices and associated tools. Experience in any major RDBMS (MySQL, Postgres, SQL Server, etc.). Strong SQL Skills, bonus points for having used both T-SQL and Standard SQL Experience with NoSQL (Elasticsearch, MongoDB, etc.) Multi-cloud and/or hybrid-cloud experience Strong interpersonal skills Comfortable working directly with data providers, including non-technical individuals Experience with the following (or transitioning from equivalent platform services): Cloud Storage Cloud Pubsub BigQuery Apache Airflow dbt DataFlow Bonus knowledge/experience: Experience implementing cloud architecture changes Working knowledge of how to build and maintain APIs using Python/FastAPI Transforming similar data from disparate sources to create canonical data structures Surfacing data to BI platforms such as Looker Studio Data Migration experience, especially from one cloud platform to another Certification: Professional Google Cloud Certified Data Engineer Our Benefits: An excellent work environment, flat hierarchies, and short decision paths A generous benefits package including 100% employer-paid health, dental, vision and Life insurance, STD, LTD Stock options Appealing 401k matching plan Student Loan reimbursement after a year Annual life achievement bonus for having a baby, buying a house, or getting married (max one per year) Unlimited PTO policy (our team takes time off as needed with supervisor approval) Up to $50 for Gym or Virtual Gym membership. Up to $20 for AI subscription (ChatGPT, Grok, etc.)
Lead and manage billing and collections teams across multiple locations, oversee invoicing and accounts receivable processes, ensure compliance and financial reporting, and drive process improvements. | Bachelor’s degree in accounting or finance, 8+ years in billing/accounts receivable with 3+ years managing distributed teams, proficiency with accounting software, strong analytical and communication skills, and preferred certifications and SaaS industry experience. | Why should I Apply: At Sonar, we’re a group of brilliant, motivated, and driven professionals working hard to help organizations build responsible, secure, high-quality code quickly and systematically. We build solutions that don’t just solve symptoms of problems – we fix problems at the source – source code, to be specific. We have a dynamic culture with employees worldwide and hub offices in the USA, Switzerland, the UK, Singapore, and Germany. We believe team members should have the opportunity to come to work every day, work on a product they are proud of, love what they do, and feel energized by their peers. With our roots deep in the open source community, we’re all about the mission: provide solutions that deliver Clean Code. The Impact You Will Have: We are seeking a dynamic and experienced Manager of Billing, Credit, and Collections to lead our billing and collections functions. This role provides the strategic vision for these functions while providing oversight of the day to day operations of these teams. Core responsibilities include, but are not limited to; managing the daily work-flow of the department, partnering closely with the Sales and Revenue teams to manage client orders and billings on time, analyze payment trends including DSO and bad debt. Additionally responsibilities process improvement, providing subject matter expertise to various company stakeholders, support month-end close and meeting Audit and control requirements. The Manager will manage two key teams: an invoicing team of approximately 4 professionals located in both Geneva, Switzerland and Austin, TX, responsible for generating and dispatching invoices, and a collections team of 3 professionals also in Geneva and Austin. What You Will Do Daily: • Leadership and Management: • Lead, mentor, and develop a geographically distributed team of 7 professionals, including an invoicing team of 4 and a collections team of 3 across Geneva and Austin. • Set team goals, performance metrics, and professional development plans for team members in both locations. • Foster a collaborative and high-performance work environment across different time zones and cultures. • Billing Operations: • Oversee the generation and distribution of accurate and timely invoices for all locations. • Ensure compliance with company policies, accounting standards, and relevant regulations from the issuing legal entity (primarily Switzerland). • Implement and maintain efficient billing processes and systems across all locations. • Address and resolve complex billing issues and customer inquiries from a global customer base. • Manages high level billing escalations and makes related business decisions • Accounts Receivable Management: • Manage the accounts receivable aging process and implement strategies to reduce outstanding balances for all regions. • Manage credit risk while ensuring the DSO and dilution on accounts is kept within acceptable limits • Monitor customer payment behavior and proactively address potential delinquencies across various regions. • Prepare and present regular reports on accounts receivable status and collection activities from both locations. • Process Improvement: • Meet with the Revenue Operations director and Sales Operations teams to Identify and implement process improvements to enhance efficiency and effectiveness within the billing and accounts receivable functions, considering the geographical distribution. • Utilize technology and automation to streamline workflows and reduce manual effort across Geneva and Austin. • Develop and maintain documentation of key processes and procedures accessible to all team members. • Financial Reporting: • Ensure accurate and timely reporting of billing and accounts receivable data for consolidated reporting. • Contribute to month-end and year-end closing activities. • Provide analysis and insights related to billing and collections performance across all regions. • Collaboration: • Collaborate with other departments, including Sales, Customer Success, and Finance, in both Geneva and Austin to ensure alignment and resolve issues. • Act as a key point of contact for internal and external stakeholders on billing and accounts receivable matters for both locations. • Participate in external and internal audits as they relate to billing and collection functions. The Experience You Will Need: • Bachelor’s degree in Accounting, Finance, or a related field; advanced degree preferred. • 8+ years of experience in billing and accounts receivable management, with at least 3 years in a leadership role managing teams in multiple locations. • Proven track record of managing billing and collections teams effectively across different geographic regions. • Strong understanding of accounting principles, revenue recognition, and credit management. • Proficiency in using accounting software and ERP systems. • Excellent analytical, problem-solving, and communication skills. • Ability to work in a fast-paced, dynamic, and globally distributed environment and manage multiple priorities. • Preferred Experience: • Experience in the software industry or a SaaS environment. • Knowledge of international billing and collections practices. • Professional certification (e.g., CPA, CMA). • Stripe experience • NetSuite experience • SalesForce experience Benefits of Working with Sonar: • Flexible comprehensive employee benefit package. • We encourage usage of our robust time-off allocations. You will receive 23 days of PTO per calendar year (on a pro-rated basis depending on your employment start date), with additional time provided for sickness, life events and holidays. • We offer an exciting 401(k) plan that has a 4% match, fully vested on day one of participation. • Generous discretionary Company Growth Bonus, paid annually. • Fully paid parking in the heart of downtown Austin, Texas. • Global workforce with employees in 20+ countries representing 35+ unique nationalities. • We have an annual kick-off somewhere in the world where we meet to build relationships and goals for the company. • Monthly catered events, and team events Why you will love it here: • Our culture and mission set us apart. We have a dynamic work culture that values respect and kindness – and embraces the right to fail (and get right back up again!). We believe that the best idea wins and everyone has a voice. • We believe that great people make a great company. We value people skills as much as technical skills and strive to keep things friendly and laid-back while still being passionate leaders in our domains. Our 550+ SonarSourcers from 33 different nationalities can relate! • We embrace work-life balance. It is important to maintain a healthy work-life balance. This is why we have a flexible work policy that includes remote and in-office hybrid work (minimum three days a week in the office - Monday/Tuesday/Thursday). • We have a growth mindset. We love to learn and believe that continuous education is critical to our success. In an ever-changing industry, new skills are a must, and we're happy to help our team acquire them. We prioritize Diversity, Equity, and Inclusion: At Sonar, we are a global workforce and recognize the value of different backgrounds, and global cultures. We are committed to creating a diverse work environment and are proud to be an equal-opportunity employer. All qualified applicants will be considered for employment without regard to race, colour, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. All offers of employment at Sonar are contingent upon the clear results of a comprehensive background check conducted prior to the start date. Please note that applications submitted through agencies or third-party recruiters will not be considered.
Design, implement, and maintain data ingestion and transformation pipelines using Airflow and DBT, collaborate with engineering and data science teams, and ensure data quality and automation stability. | Strong experience with Apache Airflow, Python scripting, SQL and NoSQL databases, cloud environments, software engineering best practices, and preferably Google Cloud Data Engineer certification. | Are you smart, driven, curious, resourceful, and not afraid to fail? Then we want to meet you! Our team of bold, innovative, and creative teammates is what makes us a top company to work for. SONAR/FreightWaves delivers news and commentary as well as data and analytics which empower risk management and actionable market insights in the logistics and supply chain industry. If you are ready to join our team, it is time for YOU to apply! SONAR/FreightWaves is on the hunt for a curious, tenacious, and team-oriented Senior Data Engineer to join our fast paced engineering team. The ideal candidate is inquisitive, versatile, team oriented, thrives on change, and has a positive attitude. If you are ready to be challenged, learn new and exciting technologies, and have the unique opportunity to work with some of the most talented developers in the country, we want you to apply! **This position is fully remote.** **Must RESIDE in the United States and be eligible to work within the US.** What you will be doing: Implementing ingestion pipelines, using Airflow as the orchestration platform, for consuming data from a wide variety of sources (API, SFTP, Cloud Storage Bucket, etc.). Implementing transformation pipelines using software engineering best practices and tools (DBT) Working closely with Software Engineering and DevOps to maintain reproducible infrastructure and data that serves both API-only customers and in-house SaaS products Defining and implementing data ingestion/transformation quality control processes using established frameworks (Pytest, DBT) Building pipelines that use multiple technologies and cloud environments (for example, an Airflow pipeline pulling a file from an S3 bucket and loading the data into BigQuery) Create and ensure data automation stability with associated monitoring tools. Review existing and proposed infrastructure for architectural enhancements that follow both software engineering and data analytics best practices. Working closely with Data Science and facilitating advanced data analysis (like Machine Learning) What you bring to the table: Strong working knowledge of Apache Airflow Experience supporting a SaaS or DaaS product, bonus points if you were creating new data products/features Strong in Linux environments and experience in scripting languages Python Expert Strong understanding of software best practices and associated tools. Experience in any major RDBMS (MySQL, Postgres, SQL Server, etc.). Strong SQL Skills, bonus points for having used both T-SQL and Standard SQL Experience with NoSQL (Elasticsearch, MongoDB, etc.) Multi-cloud and/or hybrid-cloud experience Strong interpersonal skills Comfortable working directly with data providers, including non-technical individuals Experience with the following (or transitioning from equivalent platform services): Cloud Storage Cloud Pubsub BigQuery Apache Airflow dbt DataFlow Bonus knowledge/experience: Experience implementing cloud architecture changes Working knowledge of how to build and maintain APIs using Python/FastAPI Transforming similar data from disparate sources to create canonical data structures Surfacing data to BI platforms such as Looker Studio Data Migration experience, especially from one cloud platform to another Certification: Professional Google Cloud Certified Data Engineer Our Benefits: An excellent work environment, flat hierarchies, and short decision paths A generous benefits package including 100% employer-paid health, dental, vision and Life insurance, STD, LTD Stock options Appealing 401k matching plan Student Loan reimbursement after a year Annual life achievement bonus for having a baby, buying a house, or getting married (max one per year) Unlimited PTO policy (our team takes time off as needed with supervisor approval) Up to $50 for Gym or Virtual Gym membership. Up to $20 for AI subscription (ChatGPT, Grok, etc.)
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