Relyance AI's Posts (95)

2025-07-19

Senior Software Engineer, Static Code Analysis

As Relyance AI’s Senior Software Engineer, Static Code Analysis, you will architect and implement the services and platform that powers the program analysis component of our product. This role requires you to think critically and design from first principles. You should be comfortable with multiple moving parts, micro-services architecture, de-coupled services, and multi-threaded programming. Given you are constructing the foundation on which our program analysis system will be built, and maintain a forward-thinking outlook as well as scrappiness for the present needs. You are very comfortable learning new technologies and systems. You thrive in an iterative but heavily test-driven development environment. Bonus points for: Working at Relyance AI: At Relyance AI, we create an unreasonably hospitable and data-driven culture. We prioritize exceeding customer, and each other’s, expectations in every interaction. This means empowered team members solving problems proactively based on information, crafting personalized experiences, and radiating enthusiasm. Behind the scenes, trust and freedom allow team members to find creative solutions, while shared purpose and recognition fuel a spirit of greatness to truly wow customers and each other. We deconstruct failures to learn from them and take great pride in our successes; celebrating both. Relyance AI is proud to be an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We are committed to fair and equitable compensation practices. We use data-driven pay practices with the goal of ensuring offerings are competitive to the market and our team members are being compensated correctly based on their roles, experience, and location. As such, the base salary pay range for this role is $170,000-200,000. - Designing and implementing a high-performance static code analysis service. - Working with Data Scientists/ML engineers to improve precision, robustness, and scalability of traditional static analysis algorithms using ML techniques. - Experimenting, prototyping, measuring, and making data-driven technology stack decisions. - Architecting and implementing microservices-based systems for distributed computing environments. - Leveraging strong CS fundamentals, data structures, and algorithms to solve complex engineering challenges. - Experience building compilers or static code analysis tooling. - Strong software engineering experience and a firm grasp of CS fundamentals, data structures, and algorithms. - Experience building distributed/scalable backend infrastructure with a micro-services first design. - A high standard for production system quality. - Ability to demonstrate and incrementally build 100% confidence in all the layers/components you develop. - A deep sense of appreciation for the test-driven development methodology. - A self-directed environment with full ownership to design features end-to-end from scratch and the accountability that comes along. - Experience working on security vulnerability detection - Startup Experience - An advanced technical degree

Location: San Francisco (hybrid/remote)

Salary range: None - None

2025-07-19

Software Engineer, Integrations

As Relyance AI’sSenior Software Engineer, AI Backend, you will strategize, drive, and execute on the core initiatives connecting output of NLP (Natural Language Processing) and AI models with the Relyance product. You will partner with cross-functional stakeholders to design and build a flexible, powerful, and robust NLP backend that scales the impact of AI for our customers. Given that you are constructing the foundation for a system with complex data that rapidly evolves over time, you need to pay close attention to detail, anticipate and welcome constant change, maintain a forward-thinking outlook, all while being fast and scrappy enough to address present needs. As a Senior Software Engineer - AI Backend, your role will include: This role could be a fit for you if you bring: Bonus points for: - Strategy: using your experience and understanding of how complex backends and data evolve over time, you will create and execute a roadmap for a system that enables high velocity AI development while creating stability on the product side - Execution: make customer-centric prioritization decisions to balance between immediate impact and long-term bets and partner with the team manager to drive alignment and collaboration with other engineering teams - Design: deeply understand how everything fits together; architect systems to balance scrappiness for the current needs with a forward-thinking outlook to improve and scale our infrastructure; continuously look for opportunities to automate and build tools to lower operational barriers - Hands-on: being a key member of the team solving its most complex problems with the simple, pragmatic solutions - Learning: in this role, you will have ample opportunities to become a hands-on AI/ML engineer by learning practical use of AI technologies such as LLMs (Large Language Models, e.g. ChatGPT and GPT-4), smaller models like BERT and T5, frameworks like PyTorch and TensorFlow, model training and data curation workflows, etc. - 7+ years of experience with a track record of being a key member of teams building complex backends, especially backends that deal with complex data - Expert level proficiency in Python - Strong data structures, algorithms, and OO software design and implementation skills - Ability to learn and operate across full stack, from ML and NLP, to cloud infrastructure, to UI frontend - Experience as a creative and strategic thinker with mindset to build powerful, robust, and flexible systems - A “get stuff done” attitude and enjoy being hands-on and working alongside the team to solve its most pressing problems in a fast-paced, collaborative environment - A track record of successfully influencing product direction through a strong perspective that motivates engineers to develop simple, pragmatic solutions to complex problems - Skills in communicating with clear and concise, active listening and empathy skills, and a respectful, collaborative approach that earns the trust of your peers - Experience with ML and NLP in particular - Experience with a privacy technology - Startup Experience - An advanced technical degree

Location: India, Karnataka-Bengaluru(Remote)

Salary range: None - None

2025-07-19

Software Engineer, Integrations

As Relyance AI’sSenior Software Engineer, AI Backend, you will strategize, drive, and execute on the core initiatives connecting output of NLP (Natural Language Processing) and AI models with the Relyance product. You will partner with cross-functional stakeholders to design and build a flexible, powerful, and robust NLP backend that scales the impact of AI for our customers. Given that you are constructing the foundation for a system with complex data that rapidly evolves over time, you need to pay close attention to detail, anticipate and welcome constant change, maintain a forward-thinking outlook, all while being fast and scrappy enough to address present needs. As a Senior Software Engineer - AI Backend, your role will include: This role could be a fit for you if you bring: Bonus points for: - Strategy: using your experience and understanding of how complex backends and data evolve over time, you will create and execute a roadmap for a system that enables high velocity AI development while creating stability on the product side - Execution: make customer-centric prioritization decisions to balance between immediate impact and long-term bets and partner with the team manager to drive alignment and collaboration with other engineering teams - Design: deeply understand how everything fits together; architect systems to balance scrappiness for the current needs with a forward-thinking outlook to improve and scale our infrastructure; continuously look for opportunities to automate and build tools to lower operational barriers - Hands-on: being a key member of the team solving its most complex problems with the simple, pragmatic solutions - Learning: in this role, you will have ample opportunities to become a hands-on AI/ML engineer by learning practical use of AI technologies such as LLMs (Large Language Models, e.g. ChatGPT and GPT-4), smaller models like BERT and T5, frameworks like PyTorch and TensorFlow, model training and data curation workflows, etc. - 7+ years of experience with a track record of being a key member of teams building complex backends, especially backends that deal with complex data - Expert level proficiency in Python - Strong data structures, algorithms, and OO software design and implementation skills - Ability to learn and operate across full stack, from ML and NLP, to cloud infrastructure, to UI frontend - Experience as a creative and strategic thinker with mindset to build powerful, robust, and flexible systems - A “get stuff done” attitude and enjoy being hands-on and working alongside the team to solve its most pressing problems in a fast-paced, collaborative environment - A track record of successfully influencing product direction through a strong perspective that motivates engineers to develop simple, pragmatic solutions to complex problems - Skills in communicating with clear and concise, active listening and empathy skills, and a respectful, collaborative approach that earns the trust of your peers - Experience with ML and NLP in particular - Experience with a privacy technology - Startup Experience - An advanced technical degree

Location: India, Karnataka-Bengaluru(Remote)

Salary range: None - None

2025-07-19

VP, Finance

As Relyance AI’sVP of Finance, you will be responsible for leading all accounting and financial planning and analysis functions, driving strategic financial decisions, and ensuring robust financial health to support Relyance AI’s rapid growth and mission to be the new standard in trust and governance. You will leverage your deep FP&A expertise to provide critical insights, manage financial and accounting operations, and collaborate closely with leadership. This role is pivotal in shaping Relyance AI’s financial future and directly contributing to our overall success. As a VP, Finance, your role will include: This role could be a fit for you if you bring: Bonus points for: Working at Relyance AI At Relyance AI, we create an unreasonably hospitable and data-driven culture. We prioritize exceeding customer, and each other’s, expectations in every interaction. This means empowered team members solving problems proactively based on information, crafting personalized experiences, and radiating enthusiasm. Behind the scenes, trust and freedom allow team members to find creative solutions, while shared purpose and recognition fuel a spirit of greatness to truly wow customers and each other. We deconstruct failures to learn from them and take great pride in our successes; celebrating both. Relyance AI is proud to be an equal-opportunity employer. We celebrate representation and are committed to creating an inclusive environment for all employees. We are committed to fair and equitable compensation practices. We use data-driven pay practices with the goal of ensuring offerings are competitive to the market and our team members are being compensated correctly based on their roles, experience, and location. As such, the base salary pay range for this role is $225,000 to $265,000. - Strategic Business Partner to the CEO–Translate product bets into capital-efficient growth; pressure-test every BU plan and surface data-driven go / no-go decisions to CEO & Board. Leading and overseeing all aspects of financial planning and analysis (FP&A), including budgeting, forecasting, long-range planning, and financial modeling to support strategic initiatives and while balancing operational goals. Provide critical financial insights and recommendations to the executive team and department heads to support business decision-making, resource allocation, and performance optimization. - Build a Predictive FP&A Engine— Build the next-gen scenario-based models (top-down & bottom-up) that move from “rear-view reporting” to “real-time course-correction.” Developing and implementing robust financial strategies, systems, and processes that drive efficiency, accuracy, and scalability for a high-growth SaaS company. - Operational Excellence –Providing critical financial insights and recommendations to the executive team and department heads to support business decision-making, resource allocation, and performance optimization. Managing and optimizing cash flow, working capital, and capital expenditures to ensure the company’s financial stability and maximize returns. Overseeing all accounting operations, including accounts payable, accounts receivable, general ledger, and payroll, ensuring accuracy and compliance. Directing month-end close, financial reporting and analysis, presenting clear and concise financial results, key performance indicators (KPIs), and actionable insights to internal and external stakeholders. - Fundraising and Investor Relations– Own financial narrative, data room, and term-sheet modeling for growth equity, PE, and prospective public investors. Leading audit and due diligence efforts and financial integration for potential mergers, acquisitions, or strategic partnerships, if applicable. - Risk and Governance Champion- Overseeing compliance with revenue recognition rules, including ASC606, partnering with sales and legal teams on deal language. Establish IPO-ready controls, ASC 606 compliance. - Collaboration- Collaborating cross-functionally with all departments to understand their financial needs, support their growth initiatives, and ensure financial discipline throughout the organization. - 8+ years of progressive experience in finance roles, with a strong emphasis on financial planning & analysis (FP&A) within a high-growth technology or SaaS company. - Experience leading organizations through investor relations, IPO, M&A, and funding events. - Deep expertise in financial modeling, forecasting methodologies, and budgeting processes. - Strong analytical and problem-solving skills, with a "metrics-driven" approach to financial performance and strategic thinking to connect financial data to business outcomes. - Experience implementing and optimizing financial systems and tools to improve efficiency and reporting. - A track record of success in a startup environment where you played a pivotal role in financial scaling and strategic growth. - An MBA degree. - Experience with AI/ML companies or the data security/governance space. - Experience in investor relations and fundraising activities.

Location: San Francisco, CA (Hybrid)

Salary range: None - None

2025-07-19

Part-Time Talent CoordinatorNew

As a Part-timeTalent Coordinatorat Relyance AI, you will be a key player in our People & Talent team. This is a temporary, 3-month role with the possibility of extension and eventual conversion to a full-time position working 25-30 hours/week. You will assist in managing the full recruitment lifecycle, ensuring a seamless and positive experience for all candidates. Your support will be crucial in helping us attract and hire top talent while maintaining our data-driven and hospitable company culture. This role requires someone who is highly organized, proactive, and committed to representing our brand. This is a hybrid role working in our SF Office (44 Montgomery St.) 2 days a week. As a Talent Coordinator, your role will include: This role could be a fit for you if you bring: Bonus points for: Working at Relyance AI At Relyance AI, we create an unreasonably hospitable and data-driven culture. We prioritize exceeding customer, and each other’s, expectations in every interaction. This means empowered team members solving problems proactively based on information, crafting personalized experiences, and radiating enthusiasm. Behind the scenes, trust and freedom allow team members to find creative solutions, while shared purpose and recognition fuel a spirit of greatness to truly wow customers and each other. We deconstruct failures to learn from them and take great pride in our successes; celebrating both. Relyance AI is proud to be an equal-opportunity employer. We celebrate representation and are committed to creating an inclusive environment for all employees. We are committed to fair and equitable compensation practices. We use data-driven pay practices with the goal of ensuring offerings are competitive to the market and our team members are being compensated correctly based on their roles, experience, and location. As such, the base salary pay range for this role is $25-30/hour. - Manage interview scheduling for candidates and hiring teams, ensuring all parties have the necessary information. - Serve as the primary point of contact for candidates throughout the interview process, providing updates and answering questions to ensure an excellent candidate experience. - Assist in maintaining and updating our Applicant Tracking System (ATS) to ensure data accuracy and integrity. - Help with recruitment branding initiatives, such as updating social media profiles, creating content, or attending virtual career fairs. - Coordinate and prepare materials for new hire onboarding. - Support the talent acquisition team with administrative tasks and special projects as needed. - Proven experience in a coordination, scheduling, or administrative role. - Excellent organizational and time-management skills with a strong attention to detail. - Exceptional communication and interpersonal skills. - Ability to work 25-30 hours per week. - Proficiency with HR software and Applicant Tracking Systems (ATS). - Experience in a recruiting or human resources department. - Knowledge of recruitment branding best practices. - Familiarity with Google Workspace (Docs, Sheets, Calendar, etc.).

Location: San Francisco, CA (Hybrid)

Salary range: None - None

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