About us Common Room is the AI GTM Platform that empowers your teams with AI agents built on complete buyer intelligence. We unify every signal across the full buyer journey into one continuously-updated, person-level view—so your team knows exactly who to target and why, what to say, and when to reach out. GTM teams are drowning in tool sprawl, fragmented data, and AI that doesn't deliver. Common Room replaces your disconnected stack with one platform built for scale and complexity. We bring together data, orchestration, and execution in one system built for orgs of 75-1000+. We've raised over $50 million from top-tier investors including Greylock, Index, and Madrona, and we're backed by 25+ operators from companies like Figma, Stripe, Airtable, Slack, Notion, Loom, and more. You + Common Room? You'd be joining a team that values simplicity, passion, trust, each other, and our customers above all. We ask hard questions, collaborate gladly, and make decisions quickly. So hello! Please, knock on our door. We'd love to meet you. Why we need you We’re looking for an Engineering Manager to grow and inspire our engineering organization. This role combines technical leadership with company-building impact. You’ll guide our engineering strategy, scale the team, and ensure we’re delivering systems that are robust, reliable, and delightful for our customers. Your ability to learn quickly (about the product, business, and technology) is your superpower. You’re motivated by growth and learning, but you also bring the experience to help others accelerate theirs. You’re equally comfortable setting technical direction as you are creating the organizational structure, processes, and culture that enable a team to thrive. You’ll be the bridge between engineering, product, design, and other stakeholders- keeping us ahead of the roadmap while balancing execution, scalability, and long-term strategy. And while you won’t hesitate to dive into technical details when needed, you’ll also step back to keep the broader picture in focus. What you’ll do Define and execute engineering strategy : Align technical direction with business goals, balancing velocity with quality and scalability. Build and scale the team : Recruit, retain, and mentor world-class engineers and managers, while fostering career growth and leadership development. Drive execution at scale : Ensure timely delivery of complex, high-impact projects across the stack, with a focus on backend systems and infrastructure. Partner cross-functionally : Work closely with product, design, and business stakeholders to shape the roadmap and deliver on company priorities. Champion engineering excellence : Establish standards for architecture, observability, performance, and operational excellence. Foster culture : Create a psychologically safe environment where teams can innovate, take ownership, and do their best work. Company-building : Contribute to hiring practices, onboarding, organizational design, and other initiatives that support our growth as a startup. What makes you a great fit 5+ years of professional software engineering experience, with 2+ years leading teams (including people management and technical leadership). Experience scaling engineering organizations at a fast-growing startup or tech company. Strong judgment on tradeoffs, architecture, and tooling; favoring supported, stable technologies over trends for their own sake. Proven ability to deliver large, complex projects while keeping teams unblocked and motivated. Deep familiarity with backend systems, distributed architecture, and cloud infrastructure (AWS, Postgres; Node.js/TypeScript experience a plus). A track record of building diverse, high-performing teams and fostering an inclusive, feedback-rich culture. Ability to operate at both strategic and tactical levels; comfortable jumping into code reviews one moment and board-level discussions the next. Our current tech stack : We choose tools that help solve the problem at hand efficiently. For our current set of problems, we prefer to primarily use TypeScript with Node.js. We use TypeGraphQL for our API endpoints, Apollo/Express as our web server, and Postgres (hosted on RDS) + ClickHouse as our database. We use React for front-end, and AWS for our infrastructure needs. The compensation range for this position is between $180,000 and $220,000 (plus equity) depending on experience. Our values: Be Customer-centric - We work backwards from the needs of our customers. The crisp articulation of customer value guides our decisions. Strive for Simplicity - We choose simplicity over complexity whenever possible. We seek to identify and understand the essential quality of what we are building. Make it Happen - We are quick to take the first step, and prioritize decisiveness over fear of making a mistake. We don’t confuse motion for movement and we measure ourselves on impact over actions. We’re In this Together - We measure personal success by the success of our customers and teammates. Relationships matter, and the strongest ones are built on the foundations of trust, enablement, and transparency. Our benefits: Our investment in caring for our employees and their families is a key part of our values and culture at Common Room: Competitive base compensation with meaningful equity ownership Health insurance including medical, dental, and vision, HSA and FSA We pay 100% of your employee premium and 50% of your premium for any dependents Unlimited Paid Time Off Paid Company Holidays Work from home policy including a laptop and support for your home office needs Monthly Remote Stipend 401(k) self contribution Paid Family Leave Opportunity to join a diverse, passionate, and fun team at a pivotal time in the company’s lifecycle Common Room provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Capgemini is at the forefront of innovation, integrating AI technologies to enhance customer experience and streamline operations. We are  seeking an experienced and innovative Verint AI Software Engineer to join our team supporting a premier U.S. Property & Casualty insurance carrier. This role is ideal for a technologist with deep expertise in Verint AI and a strong understanding of enterprise voice ecosystems, including CISCO, Google Cloud, and NICE. You will be instrumental in designing, developing, and optimizing AI-driven solutions that enhance customer experience, operational efficiency, and digital engagement. In this role, you will work closely with cross-functional teams to design, develop, and deploy AI-driven solutions that leverage Verint AI technology to address complex business challenges. Our Client is one of the United States’ largest insurers, offering a wide range of insurance and financial services products with gross written premiums well over US$25 Billion (P&C). They proudly serve more than 10 million U.S. households with more than 19 million individual policies across all 50 states through the efforts of over 48,000 exclusive and independent agents and nearly 18,500 employees. Finally, our Client is part of one the largest Insurance Groups in the world. This role offers a unique opportunity to work on innovative AI initiatives with a leading U.S. insurance carrier, within a collaborative environment that fosters innovation, creativity, and continuous learning. You'll gain exposure to enterprise-scale projects and advanced technologies, while enjoying a comprehensive benefits package that includes health coverage, retirement plans, and professional development support. Key Responsibilities: Design, develop, test, and implement AI-based applications using Verint technology, including IVA and Speech Analytics. Collaborate with business stakeholders to understand requirements and translate them into scalable technical specifications. Benefits: Opportunity to work on cutting-edge AI initiatives. Collaborative work environment that promotes innovation and creativity. Comprehensive benefits package and professional development opportunities. Requirements Proven experience in software development with a strong focus on AI technologies and methodologies. Direct experience with Verint solutions and platforms. Demonstrated experience with Verint AI. Deep familiarity with voice engineering technology ecosystems that include Verint, Google, CISCO, NICE and other similar technologies. Strong programming skills in languages such as Python, Java, or C#. Solid understanding of social engineering techniques and digital behavior analysis. Ability to work effectively in a collaborative team environment. Excellent problem-solving and analytical skills. Effective communication skills, both verbal and written. A degree in Computer Science, Software Engineering, or a related field. Benefits Competitive compensation and benefits package: Competitive salary and performance-based bonuses Comprehensive benefits package Career development and training opportunities Flexible work arrangements (remote and/or office-based) Dynamic and inclusive work culture within a globally renowned group Private Health Insurance Retirement Benefits Paid Time Off Training & Development Performance Bonus Note: Benefits differ based on employee level. About Capgemini Capgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided every day by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of over 350,000 team members in more than 50 countries. With its strong 55-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms. The Group reported €22 billion in revenues in 2024. https://www.capgemini.com/us-en/about-us/who-we-are/

• Leads the execution of deliverables with the risk and engineering teams ensuring projects are completed on time and within predefined requirements and budgets. • Accountable for team performance within assigned projects, including software engineering and MLOps initiatives. • Serves as subject matter expert on multiplatform applications and ML infrastructure, determining course of action under the direction of systems leadership. • Directs the system development lifecycle including the design, coding, testing, documentation, maintenance, and support of proprietary and purchased software systems and applications. • Leads the design, implementation, and scaling of enterprise MLOps platforms and capabilities, including CI/CD pipelines for ML, model versioning, automated testing, monitoring, and model lifecycle management. • Establishes best practices for model deployment, observability, performance monitoring, drift detection, and retraining strategies. • Partners with Data Science, Risk, Compliance, Legal, and Information Security teams to ensure machine learning systems meet regulatory, governance, and risk management requirements. • Implements and oversees ML governance frameworks including model documentation, validation, explainability, auditability, fairness/bias monitoring, and model risk management controls. • Ensures adherence to enterprise data governance, privacy, and AI risk policies, including responsible AI standards. • Recommends innovation and improvements to policy or procedures; has the latitude to make decisions affecting mid- to long-term operational results. • Develops long- and short-term business and technology strategies aligned to AI/ML roadmaps. • Responsible for managing operating costs and budgets, including infrastructure investments for ML platforms. • Makes decisions on pay, performance, appraisals, schedules, discipline, and hiring. • Builds and leads a high-performing MLOps and engineering organization, establishing clear career paths and leadership development for managers and senior engineers.

• Lead the Design System team, focusing on improve other teams productivity and design consistency; • Design and implement straightforward solutions to complex scenarios, ensuring scalability, maintainability, performance and accessibility; • Work closely to Design and Engineers to define process on attending demands, and guarantee deadlines; • Serve as a focal point in the communication with other teams and areas of the company; • Serve as a technical reference to the team and gain recognition as such across the company; • Mentor and guide other engineers, fostering a culture of technical excellence, ownership, and collaboration; • Live the mission: inspire and empower others by genuinely caring for your own wellbeing and your colleagues. Bring wellbeing to the forefront of work, and create a supportive environment where everyone feels comfortable taking care of themselves, taking time off, and finding work-life wellness.