Who we are Samsara (NYSE: IOT) is the pioneer of the Connected Operations™ Cloud, which is a platform that enables organizations that depend on physical operations to harness Internet of Things (IoT) data to develop actionable insights and improve their operations. At Samsara, we are helping improve the safety, efficiency and sustainability of the physical operations that power our global economy. Representing more than 40% of global GDP, these industries are the infrastructure of our planet, including agriculture, construction, field services, transportation, and manufacturing — and we are excited to help digitally transform their operations at scale. Working at Samsara means you’ll help define the future of physical operations and be on a team that’s shaping an exciting array of product solutions, including Video-Based Safety, Vehicle Telematics, Apps and Driver Workflows, and Equipment Monitoring. As part of a recently public company, you’ll have the autonomy and support to make an impact as we build for the long term. ABOUT THE ROLE Samsara's Go-To-Market Systems team is building the AI-first infrastructure that powers how one of the world's fastest-growing SaaS companies sells. As Engineering Manager, GTM AI Engineering, you'll lead a team of senior engineers who build and operate the AI orchestration engines, Salesforce/CRM/PRM integrations, and agentic workflows that keep our global sales organization moving. This role is for a hands-on engineering leader — someone who writes code, conducts design reviews, and shapes architecture alongside the team, while also owning the people processes that make a great team great: hiring, career development, performance, and culture. You'll partner closely with Sales Ops, BizTech, Finance, and GTM leadership to translate business ambitions into reliable, scalable engineering roadmaps. You'll report to the Sr. Director, Sales Technology Engineering, and serve as the technical and people lead for a team of 4–7 engineers. You'll set the standard — for code quality, architectural thinking, on-call discipline, and how the team shows up in cross-functional conversations. YOU SHOULD APPLY IF - You thrive at the intersection of hands-on technical leadership and people management — you're equally comfortable in a design review and a 1:1 conversation about career growth - You believe great managers unblock their teams by being technically credible, not by staying out of the code - You've built and shipped production AI systems and know what it takes to take an agentic workflow from prototype to enterprise reliability - You're energized by ambiguity — you can take a fuzzy business need from a VP of Sales and turn it into a concrete engineering roadmap - You care about building an inclusive, high-trust team where engineers grow and do the best work of their careers IN THIS ROLE, YOU WILL - Lead, hire, and develop a team of 4–7 senior engineers across the full GTM AI systems stack — setting a high bar for technical excellence, collaboration, and delivery - Stay hands-on: contribute to system architecture, participate in code and design reviews, pair with engineers on complex problems, and own critical technical decisions for the team's most impactful systems - Own the engineering roadmap for GTM AI systems — partnering with Sales Ops, BizTech, Finance, Legal, and GTM leadership to set priorities, define milestones, and communicate progress - Drive delivery of AI-first GTM systems: agentic AI pipelines, LLM orchestration layers, Salesforce CPQ integrations, real-time Slack applications, and AWS event-driven architectures - Champion engineering quality: establish and uphold standards for code review, testing, observability (distributed tracing, alerting, SLAs), incident response, and documentation - Create a culture of responsible AI development — ensuring the team follows safe data handling practices, maintains audit trails, and builds human-in-the-loop controls from the start - Manage team health: run effective 1:1s, give timely and actionable feedback, unblock engineers, resolve conflicts, and advocate for your team's needs within the broader org - Identify and eliminate systemic sources of friction in GTM workflows — turning recurring manual processes into automated, self-healing systems that scale with the business - Serve as a technical authority in cross-functional conversations — representing the engineering team's perspective to VP- and C-level GTM stakeholders MINIMUM REQUIREMENTS - 8+ years of software engineering experience, including 2+ years in an engineering management or tech lead role with direct reports - Strong technical depth in Python (production services, async processing, LLM integration) and TypeScript/JavaScript (React, Node.js) - Hands-on Salesforce platform experience: REST/Bulk/Streaming APIs, SOQL, CPQ/Steelbrick, platform events, and flow automation - Solid AWS expertise: Lambda, SQS/SNS/EventBridge, API Gateway, S3, RDS/Aurora, CloudWatch, IAM, and multi-account patterns - Experience building and deploying LLM-powered systems using OpenAI API, Anthropic API, LangChain, LangGraph, or equivalent agentic frameworks - Demonstrated ability to lead multi-engineer technical efforts: writing design docs, running design reviews, and defining engineering standards - Track record of effective people management: hiring, performance development, and building inclusive team culture - Strong cross-functional communication skills — able to translate engineering decisions to non-technical business stakeholders - Bachelor's degree in Computer Science, Engineering, or related field, or equivalent practical experience AN IDEAL CANDIDATE ALSO HAS - Experience designing and operating low-code automation platforms (Workato, MuleSoft, Salesforce Flow) alongside custom-built agentic systems - Background in GTM engineering, RevOps tooling, or sales technology platform development in a high-growth B2B SaaS environment - Familiarity with Model Context Protocol (MCP) or custom tool/function-calling patterns in production agentic systems - AWS certifications: Solutions Architect Professional or DevOps Engineer Professional - Experience operating in GovRAMP or FedRAMP-adjacent environments - Prior experience scaling an engineering team through a period of significant organizational or technical growth #LI-hybrid Total Rewards At Samsara, we build for the people who keep the global economy moving. We want owners, not passengers, which is why our rewards are designed to fuel high-impact builders. Our compensation program delivers above-market total compensation through a combination of base salary, performance-based bonus/variable pay, and equity (for eligible roles) in a high-growth public company. We meaningfully differentiate pay for our top performers, who have the opportunity to earn above-market compensation that can outpace the broader market over time. Beyond compensation, we provide the foundations that enable long-term success: a flexible, employee-led remote model, a professional development stipend, comprehensive health and parental leave plans, and more. If you’re ready to build for the long term and own the outcome, your journey starts here. Flexible Working At Samsara, we embrace a flexible working model that caters to the diverse needs of our teams. Our offices are open for those who prefer to work in-person and we also support remote work where it aligns with our operational requirements. For certain positions, being close to one of our offices or within a specific geographic area is important to facilitate collaboration, access to resources, or alignment with our service regions. In these cases, the job description will clearly indicate any working location requirements. Our goal is to ensure that all members of our team can contribute effectively, whether they are working on-site, in a hybrid model, or fully remotely. All offers of employment are contingent upon an individual’s ability to secure and maintain the legal right to work at the company and in the specified work location, if applicable. Belonging at Samsara At Samsara, we welcome everyone regardless of their background. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender, gender identity, sexual orientation, protected veteran status, disability, age, and other characteristics protected by law. We depend on the unique approaches of our team members to help us solve complex problems and want to ensure that Samsara is a place where people from all backgrounds can make an impact. Accommodations Samsara is an inclusive work environment, and we are committed to ensuring equal opportunity in employment for qualified persons with disabilities. Please email accessibleinterviewing@samsara.com or click here if you require any reasonable accommodations throughout the recruiting process. Our Commitment to Authenticity We use Tofu, a fraud detection tool, to validate the authenticity of applications and protect against identity fraud. This ensures we are connecting with real people and allows us to prioritize genuine candidates. Please see Samsara’s Candidate Privacy Notice for more information. Fraudulent Employment Offers Samsara is aware of scams involving fake job interviews and offers. Please know we do not charge fees to applicants at any stage of the hiring process. Official communication about your application will only come from emails ending in @samsara.com, @us-greenhouse-mail.io or @mail3.guide.co. For more information regarding fraudulent employment offers, please visit our blog post here.

Role Description Intertek is searching for a Sr. Manager, Business Development to join our Hardlines team working Remotely based in North America. This is a fantastic opportunity to expand an already successful career in the Hardlines Industry. The Sr. Manager, Business Development is responsible for developing new business opportunities in North America by sourcing new clients and developing new business with existing clients in the Global Hardlines Market, including: - Toys - Baby Items - Kitchenware - Sports - Tools - Home & Garden products An ideal candidate will exude an energetic, optimistic, hard-working, and self-starter mindset. The candidate will have strong experience in partnering with Tier 1 clients, both supporting existing portfolios and prospecting new business. A primary objective is to meet/exceed revenue targets whilst commercially influencing margins. Regular and frequent travel is required to visit clients within North America, and at times must be able to travel internationally if required (very infrequent basis). Shift/Schedule: This is a full-time position. Qualifications - 5+ years of successful sales experience in a relevant industry - HS Diploma or equivalent required - Current and valid driver’s license with reliable driving record is required - Successful candidate must reside in the USA, preferably in the Midwest or Eastern regions - Ability to travel up to 50% domestically, infrequently internationally - as business needs dictate - This position is not eligible for current or future sponsorship - Proven ability to drive revenue growth - Strong experience managing multiple clients and leading by example - Outstanding communication skills, relationship management, and negotiation skills are essential - Demonstrate energetic, optimistic, hard-working and a self-starter mindset at all times - Ability to work in fast-paced, multi-tasking environment with shifting priorities and demanding deadlines - Must be detail-oriented and able to effectively prioritize and organize workload, with efficient time management - Ability to communicate and interact effectively in oral, written, and presentational formats - Must possess the fundamental technical and administrative skills required to perform the job duties - Must be customer-focused and quality-driven Requirements - Bachelor’s degree preferred - Prefer experience in toys, retail, or hardline product safety - Retailer account management experience is preferable - Proven experience in creating and implementing strategy for successful sales growth - Strong MS Office skills and CRM experience is preferable Benefits - Base wage or salary range from $85,000.00 to $100,000.00, plus sales incentives - Medical, dental, vision, life, disability insurance - 401(k) with company match - Generous vacation / sick time (PTO) - Tuition reimbursement - And more

We’re looking for a Senior Engineering Manager who is ready to lead through ambiguity and improve how software gets built at MongoDB. This role leads teams focused on developer productivity, with an emphasis on measurable improvements to the software development lifecycle. This role can be based remotely in the United States. The TeamThe AXIS team (AI, X-functional tools, Insights, and Signals) sits within Developer Productivity and is responsible for overseeing the metrics and observability infrastructure of our expansive developer environment to help build a strong data-driven culture. You’ll also be a key partner in building the agentic ecosystem for AI-driven development across engineering. Candidate ProfileWe’re looking for an experienced leader with a passion for solving the big challenge of measuring developer productivity and providing the actionable signals that help teams improve their performance. They should be comfortable working collaboratively with other leaders and partners across our Engineering and Data teams in maximizing the use of data for insights and AI enablement. The right candidate for this role will have - 4+ years of experience managing software engineers, including hiring, performance management, growth planning, and compensation; required for external candidates and preferred for internal candidates - 8+ years of hands-on software engineering experience building and operating production systems; experience in developer tooling, platform engineering, observability, or data engineering is a strong plus - Demonstrated the ability to lead through ambiguity, work across team boundaries, and deliver outcomes without close supervision - Strong customer orientation and sound judgment in finding practical, high-leverage solutions - Experience working with systems involving analytics, data pipelines, and metrics platforms - Experience with AI tools development and enablement efforts - Strong technical judgment, including the ability to evaluate tradeoffs, identify risks, and ask the right questions without needing to be hands-on in the code every day - Ability to connect observability, engineering metrics, and AI capabilities to meaningful improvements in the developer ecosystem - Excellent communication skills with engineers, peer managers, and senior leadership - A track record of building inclusive, high-performing teams where engineers can do their best work Position Expectations - Provide technical leadership and mentorship to a team of engineers, fostering a culture of innovation, quality, collaboration, and continuous improvement - Improve engineering visibility and decision-making. Ensure your team delivers the systems, analytics, and reporting needed for Engineering leadership to understand the health, performance, and efficiency of the software development lifecycle - Evaluate, integrate, and build AI-enabled interfaces and tools that drive engineer productivity improvements, with a focus on measurable impact and responsible rollout - Drive the roadmap. Partner with Staff and Senior Staff ICs, TPMs, and stakeholders to define and evolve a 12-month roadmap that balances near-term delivery with long-term platform investment Success Measures - In the first month, understand the team structure, active projects, and stakeholder landscape. Build trust with your direct reports and identify the top execution risks - In three months, deliver meaningful improvements in at least one area, measured through adoption, reliability, or developer satisfaction, and establish yourself as a reliable partner to peers and leadership - In twelve months, complete a full performance and growth cycle for your team, define a coherent multi-domain strategy, and drive measurable improvements in engineering effectiveness and developer experience across MongoDB About MongoDBMongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. MongoDB’s unified data platform, the most widely available, globally distributed data platform on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud data platform and is available across AWS, Google Cloud, and Microsoft Azure. With offices worldwide and over 67,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software. Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world! MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter. MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions 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. Req ID: 2273490079 MongoDB’s base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB’s total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, 401(k) plan, mental health counseling, access to transgender-inclusive health insurance coverage, and health benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to U.S.-based candidates. MongoDB’s base salary range for this role in the U.S. is: $151,000—$297,000 USD

We’re looking for a Senior Engineering Manager who is ready to lead through ambiguity and improve how software gets built at MongoDB. This role leads teams focused on developer productivity, with an emphasis on measurable improvements to the software development lifecycle. This role can be based remotely in Canada. The TeamThe AXIS team (AI, X-functional tools, Insights, and Signals) sits within Developer Productivity and is responsible for overseeing the metrics and observability infrastructure of our expansive developer environment to help build a strong data-driven culture. You’ll also be a key partner in building the agentic ecosystem for AI-driven development across engineering. Candidate ProfileWe’re looking for an experienced leader with a passion for solving the big challenge of measuring developer productivity and providing the actionable signals that help teams improve their performance. They should be comfortable working collaboratively with other leaders and partners across our Engineering and Data teams in maximizing the use of data for insights and AI enablement. The right candidate for this role will have - 4+ years of experience managing software engineers, including hiring, performance management, growth planning, and compensation; required for external candidates and preferred for internal candidates - 8+ years of hands-on software engineering experience building and operating production systems; experience in developer tooling, platform engineering, observability, or data engineering is a strong plus - Demonstrated the ability to lead through ambiguity, work across team boundaries, and deliver outcomes without close supervision - Strong customer orientation and sound judgment in finding practical, high-leverage solutions - Experience working with systems involving analytics, data pipelines, and metrics platforms - Experience with AI tools development and enablement efforts - Strong technical judgment, including the ability to evaluate tradeoffs, identify risks, and ask the right questions without needing to be hands-on in the code every day - Ability to connect observability, engineering metrics, and AI capabilities to meaningful improvements in the developer ecosystem - Excellent communication skills with engineers, peer managers, and senior leadership - A track record of building inclusive, high-performing teams where engineers can do their best work Position Expectations - Provide technical leadership and mentorship to a team of engineers, fostering a culture of innovation, quality, collaboration, and continuous improvement - Improve engineering visibility and decision-making. Ensure your team delivers the systems, analytics, and reporting needed for Engineering leadership to understand the health, performance, and efficiency of the software development lifecycle - Evaluate, integrate, and build AI-enabled interfaces and tools that drive engineer productivity improvements, with a focus on measurable impact and responsible rollout - Drive the roadmap. Partner with Staff and Senior Staff ICs, TPMs, and stakeholders to define and evolve a 12-month roadmap that balances near-term delivery with long-term platform investment Success Measures - In the first month, understand the team structure, active projects, and stakeholder landscape. Build trust with your direct reports and identify the top execution risks - In three months, deliver meaningful improvements in at least one area, measured through adoption, reliability, or developer satisfaction, and establish yourself as a reliable partner to peers and leadership - In twelve months, complete a full performance and growth cycle for your team, define a coherent multi-domain strategy, and drive measurable improvements in engineering effectiveness and developer experience across MongoDB About MongoDBMongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. MongoDB’s unified data platform, the most widely available, globally distributed data platform on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud data platform and is available across AWS, Google Cloud, and Microsoft Azure. With offices worldwide and over 67,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software. Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world! MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter. MongoDB is an equal opportunities employer. Req ID: 2273490079 AI is used to review applications based on job-related criteria and does not replace human decision-making. The hiring team decide who moves forward. MongoDB’s base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB’s total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, Registered Retirement Savings Plan (RRSP) with employer match, mental health counseling, backup child and elder care, and health, dental, and vision benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to candidates based in Canada. MongoDB’s base salary range for this role in Canada is: $191,000—$265,000 CAD