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Location: Torrance, United States 📍 Location: Torrance, CA 📄 Employment Type: Full-Time 🏢 Work Arrangement: 100% On-site, Monday–Friday 🚀 Start Date: TBD 💰 Compensation: TBD — based on skills and experience Important Screening Requirements Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, Mathematics, or a related STEM field , or equivalent practical experience. Open to candidates across experience levels, including early-career engineers and senior technical contributors . Experience with systems programming using C++, Python, Rust, or similar languages . Familiarity with Linux-based development . Experience with low-level systems, hardware interfaces, or embedded software. Must be able to work on-site in Torrance, CA . U.S. work authorization and export-control eligibility requirements may apply. Security clearance or other U.S. Government authorization may be required depending on the position. Embedded Software Engineer- JD About the Role We are seeking Embedded Software Engineers to develop, test, and integrate software that drives and simulates advanced flight systems. The role spans multiple layers of the technology stack, including applications, operating systems, networking, firmware, and simulation . Engineers will work closely with hardware and software teams to build and debug mission-critical systems. Embedded Software Engineer- JD What We’re Looking For We’re looking for engineers at all experience levels who enjoy working close to the hardware , solving difficult systems problems, and building reliable software for complex flight systems. Embedded Software Engineer- JD Key Responsibilities Design and implement reliable autonomous software systems. Develop simulations used to validate software precision and system dependability. Participate throughout the software development lifecycle, from design and prototyping through testing, integration, and deployment . Evaluate test results and troubleshoot complex hardware/software issues. Perform hands-on integration and debugging across software and hardware systems. Develop tools supporting virtualized hardware, hardware-in-the-loop, and vehicle-in-the-loop testing . Collaborate with multidisciplinary engineering teams on advanced flight-system capabilities. Contribute to guidance algorithms and integrated seeker image-processing efforts. Lead major software projects when appropriate. Support testing and operations at launch or customer sites when required. Improve software standards, development practices, and engineering processes. Embedded Software Engineer- JD Required Qualifications Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, Mathematics, or related STEM field, or equivalent practical experience. Experience with systems programming in C++, Python, Rust, or similar languages . Familiarity with Linux-based development. Understanding of low-level systems programming and hardware interfaces. Experience with interfaces such as UART and I2C is valuable. Strong problem-solving and debugging skills. Ability to work effectively in a multidisciplinary engineering environment. Embedded Software Engineer- JD Preferred Qualifications Strong C++ or Rust experience. Real-time embedded or distributed computing experience. Experience with Linux systems. Experience working with PowerPC, x86, ARM, or similar architectures . Bash, networking, and performance-analysis tools. Experience with debugging, performance optimization, and unit testing. Knowledge of TCP/UDP networking . Experience building prototypes from first principles. Embedded Software Engineer- JD

Location: San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. As a manager of Applied AI Engineers for Anthropic's Megas segment, you will lead a team of deeply technical engineers embedded with our largest and most strategic accounts. These companies are partner-customers: they are among our biggest revenue drivers and also some of our most important go-to-market distribution channels. Each one consumes Claude to transform its own business and distributes Claude through its platforms and marketplaces. Your team works hands-on with their product and engineering organizations as they build on Claude: co-designing complex technical solutions, advising on architecture, developing evaluation frameworks, and guiding them through the most advanced implementation patterns for LLMs. You will hire, coach, and grow this team while staying close enough to the technology to set a high bar for engineering judgment. Your engineers work in account-aligned pods alongside Applied AI Architects, and you'll partner closely with pod leads, Mega Sales, Partnerships, Product, and Research. You'll guide your team from technical discovery through production deployment, turn wins at one Mega into reference architectures and patterns that compound across the others, and channel Mega-driven requirements back into Anthropic's product and research roadmap, all while maintaining our high standards for safety and reliability. This is a fast-moving space at the frontier of what's possible with LLMs, and you'll help define how we scale technical impact across our most important relationships. Responsibilities Build, coach, and grow a team of Applied AI Engineers serving Mega accounts: hire strong technical builders, develop them through structured feedback and clear competency expectations, and create scalable onboarding for a customer-facing technical role. Staff engineers into account-aligned pods alongside Applied AI Architects, balancing deep account continuity with flexibility to move expertise where the segment needs it most. Set performance goals aligned with each Mega's technical account plan and the segment's consumption objectives, and establish the metrics, reporting cadence, and dashboards that keep pod leads and cross-functional stakeholders informed on team health and impact. Serve as a senior technical advisor to Mega product and engineering leaders as they deploy production Claude workloads: guiding architecture design, evaluation strategy, and advanced prompting, agentic, and implementation patterns from discovery through deployment. Lead hands-on co-build initiatives with Mega engineering teams, from prototypes and pilots to production deployments, in support of each account's joint roadmap with Anthropic. Help navigate the partner-customer duality: support both direct consumption and the distribution of Claude through Mega platforms and marketplaces, and exercise sound judgment about what we build together and share. Act as a technical escalation point for your team's accounts, and partner with pod leads and Mega Sales to sequence technical work for maximum customer value. Build shared assets across pods, including reference architectures, agentic patterns, and eval frameworks, so that what one pod learns benefits every Mega account. Collaborate with Product and Research to surface Mega-driven requirements with the right weight and context, advocating for high-impact product changes without becoming a feature-request pass-through. Champion scalable public and internal assets documenting the latest LLM prompting, evaluation, agentic, and architecture techniques; contribute thought leadership through talks, blog posts, and white papers. Maintain strong, current knowledge of LLM capabilities, implementation patterns, and the AI product development stack, and translate it into practical guidance for your team and customers. Travel to customer sites for workshops, executive technical sessions, implementation support, and relationship building, and represent Anthropic at conferences and speaking engagements. You may be a good fit if you have 6+ years of experience in technical roles such as Forward Deployed Engineer, Software Engineer, Solutions/Sales Engineer, or Technical Product Manager. 4+ years of experience operating in a formal leadership capacity, ideally with some tenure as a manager of managers/multiple teams. Former technical founders are also encouraged to apply. Demonstrated success hiring, coaching, and scaling customer-facing technical teams, ideally in a fast-moving or hypergrowth environment. Experience supporting large, named strategic accounts at a platform, infrastructure, or model company, ideally where the account was both a customer and a partner. Production experience with LLMs, including advanced prompt engineering, agent development and frameworks, evaluation frameworks, transcript analysis, MCP, and deployment at scale, with the technical depth to set engineering standards and review your team's work credibly. Strong programming skills with proficiency in Python or TypeScript and experience building production applications. A track record engaging senior technical stakeholders (CTOs, CPOs, and engineering leaders) and influencing technical architecture and partner product roadmaps. Experience working in or running mixed pre-sales and hands-on engineering teams (for example, SA + FDE or SE + delivery). The ability to navigate ambiguity and execute across domains with intellectual openness, finding simple solutions to complex problems. A high-cooperation mindset for cross-organizational collaboration across Sales, Partnerships, Product, and Research, balancing competing priorities with integrity. Exceptional communication skills to convey technical concepts to diverse stakeholders while maintaining a low ego and collaborative approach. Passion for advancing safe, beneficial AI systems through creative technical applications. Strong candidates may also have Background at a hyperscaler, foundation model lab, or large ISV in a strategic-accounts or alliances technical role. Experience with marketplace, embed/OEM, or co-sell motions. Prior forward-deployed engineering leadership. Experience leading technical teams through periods of rapid scale, balancing immediate execution with durable, long-term architectural and platform decisions. Experience coaching engineers from purely technical roles into customer-facing, advisory work. Executive briefing and public speaking presence. Deadline to apply None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA • New York, NY Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! The AI Research team at Figma is working on the cutting edge of AI and Design. We work on optimizing agentic systems for design quality and end user experience. We build robust evaluators for Design and post-train models. We are a very collaborative, close-knit and impact-focused team of researchers and research engineers working on some of the most challenging technical problems at the intersection of AI and creativity. We are seeking PhD interns with expertise in machine learning and artificial intelligence to develop innovative AI solutions for design and creative products. Through both fundamental and applied research, your work will contribute to new AI-driven features in Figma products. This internship can take place in Winter 2027 or Summer 2027 in San Francisco or New York. What you’ll do at Figma: Drive fundamental and applied research in Generative AI with Figma product use cases in mind Formulate and implement new modeling approaches both to improve the effectiveness of Figma’s current AI models as well as enable the launch of entirely new AI-powered product features Explore the boundaries of what is possible with the current technology set and experiment with novel ideas Depending on your project, you may have the opportunity to publish your research in leading AI/ML conferences We'd love to hear from you if you have: Are a 4th or 5th year senior Ph.D student in AI, Machine Learning, Computer Vision, Natural Language Processing, Human Computer Interaction or a related field Proven expertise in AI through publications on recent advancements in AI, such as Large Language Models or Agentic systems Track record in applying machine learning techniques to projects in academia or industry Experience in Python and machine learning frameworks (such as PyTorch, TensorFlow) Experience solving sophisticated problems and comparing alternative solutions, trade-offs, and diverse points of view to determine a path forward While it’s not required, it’s an added plus if you also have: Related industry experience via a past internship or full-time role Experience communicating your solutions effectively to different audiences Experience using AI-assisted development tools (e.g., GitHub Copilot, ChatGPT, Claude) to write, debug, and optimize code At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Pay Transparency Disclosure This internship role is based in either Figma’s San Francisco or New York hub offices, and has the hourly base pay rate stated below.  Figma also offers interns a housing stipend and travel reimbursement. Figma’s compensation and benefits are subject to change and may be modified in the future. Internship $74 — $74 USD At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status , or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to accommodations-ext@figma.com . These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities. Examples of accommodations include but are not limited to: Holding interviews in an accessible location Enabling closed captioning on video conferencing Ensuring all written communication be compatible with screen readers Changing the mode or format of interviews To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Figma's Candidate Privacy Notice . Application limits: To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles: Candidates may submit up to 5 applications during any rolling 30-day period. Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection. Once the applicable days has passed, candidates are welcome to apply again.

Location: Renton, Washington, United States We take play seriously. We’re looking for curious adventurers ready to find their party, fueled by imagination and drive to build what’s never been built before. At Hasbro and Wizards of the Coast, you’ll collaborate with passionate teams to reimagine our iconic brands and create experiences that spark joy, connection, and community through the magic of play. This is your chance to shape legendary play that lasts a lifetime. This is a unique opportunity to help build the future of learning at Hasbro, creating a development ecosystem that strengthens leadership, accelerates business-critical capabilities, and delivers learning experiences that are distinctly Hasbro. The Director of Learning & Career Development will lead the design, development, and delivery of learning experiences that help our people grow and our business succeed. From onboarding and manager excellence to leadership development, workforce capability building, and differentiated talent programs, this leader will shape the learning experiences that support employees throughout their careers at Hasbro. This is a highly visible role that requires strategic thinking, sound judgment, and hands-on execution. The ideal candidate is a builder who can create a roadmap, earn alignment, develop a team, roll up their sleeves, and bring programs to life. They are equally comfortable facilitating a leadership session, designing a new program, partnering with senior leaders, or leveraging technology and AI to scale impact across a global workforce. A Day in the Life: Design & Execute Learning Strategy: Develop and evolve Hasbro's learning and career development roadmap, applying sound judgment to prioritize where we invest so learning supports business priorities, workforce needs, and employee growth. Partner Across the Business: Collaborate as a true team player with leaders, HR partners, and employees globally to assess capability needs, identify development opportunities, and create solutions that help teams and individuals perform at their best. Build & Deliver Learning Programs: Lead the design, development, facilitation, and delivery of high-impact learning experiences including onboarding, early career programs, manager excellence, leadership development, mentorship, coaching, and differentiated talent initiatives. Create Signature Hasbro Learning Experiences: Build distinctive, Hasbro-curated development experiences that strengthen culture, reinforce what great looks like at Hasbro, and help attract, engage, and retain top talent. Leverage internal expertise, executive involvement, business acumen, and the creativity of our brands to create learning experiences employees cannot get anywhere else. Build Critical Workforce Capabilities: Partner with business leaders to identify emerging skill needs and design scalable solutions that strengthen key capabilities such as AI, digital fluency, business acumen, leadership, and other enterprise priorities. Leverage Technology & AI to Scale Impact: Champion innovative learning technologies, AI-enabled tools, and emerging delivery methods that create engaging learning experiences, improve personalization, and extend the reach of a lean team. Continuously explore new approaches to learning and capability building. Activate Leaders as Teachers: Partner with executives and leaders to serve as teachers, mentors, coaches, and champions for learning across the organization. Integrate Learning with Talent, Culture & Inclusion: Collaborate across HR and business teams to embed learning into talent management, leadership expectations, performance practices, engagement, succession planning, and belonging initiatives. Measure & Communicate Impact: Apply critical thinking to data, insights, learner feedback, and business outcomes to evaluate effectiveness, demonstrate impact, and continuously improve programs. Build a High-Impact Learning Function: Lead, coach, and develop a small, agile team while creating scalable operating models, strong partnerships, and sustainable processes that maximize impact globally. Balance strategic leadership with hands-on ownership of program design, development, facilitation, and execution. What You'll Bring 10+ years of progressive experience in Learning & Development coupled with Talent Management, Leadership Development, Organizational Development, or related HR disciplines. Demonstrated success building and scaling learning programs and capabilities in complex, matrixed, and global organizations. Experience managing a team of direct reports is required, with a demonstrated ability to coach, mentor, and support their career development through meaningful feedback, development planning, and opportunities for growth Experience balancing strategic leadership with hands-on program design, content creation, facilitation, implementation, and execution. Strong understanding of the broader talent ecosystem, including performance management, talent development, succession planning, employee engagement, and organizational effectiveness. Proven ability to build trusted partnerships and influence leaders, HR partners, and stakeholders across functions, geographies, and cultures. Experience maximizing impact through lean teams, technology, innovative delivery models, and strategic vendor partnerships. Curiosity and enthusiasm for new technologies, evolving learning mediums, and innovative ways of building capability at scale. Strong data fluency, with the ability to define success measures, evaluate outcomes, and continuously improve programs. Experience engaging executives and senior leaders as active sponsors, teachers, coaches, and champions of development. Bonus: coaching certification; experience in manager excellence, leadership development, workforce capability building, talent acceleration, or early career programs. The pay transparency range for this role is listed below. The hiring range will vary based on factors such as experience, skills, location and market conditions. Additionally, employees may be eligible for annual and long-term incentives as part of their overall compensation package. Pay Range $150,500 — $240,800 USD Employees may be eligible for annual and long-term incentives as part of their overall compensation package, depending on role, location, and eligibility. Benefits and programs may include: Health & Wellness Time Off to Recharge Financial Well-being Life & Family Support Volunteer and Community Initiatives Learning & Development Exclusive Perks Please review our Applicant Privacy Notice to learn how we collect, use, and protect your personal information in connection with the application process.

Location: Remote - US Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. . Hiring and how we work We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings. . See yourself at Twilio Join the team as Twilio’s next Sr Financial Manager, Partnerships. About the job As Sr. Manager of GTM Finance for Global Partnerships, you will serve as the primary strategic co-pilot to the VP of Global Partnerships. You will design economic models driving our ecosystem strategy across Cloud Marketplaces (AWS, GCP, Azure), Global Systems Integrators (GSIs), and ISVs—ensuring partner incentive investments accelerate usage-based revenue while achieving profitability goals. Responsibilities In this role, you’ll: Serve as the primary, trusted financial and strategic advisor to the VP of Global Partnerships and his global leadership team Marketplace Strategy (AWS, GCP, Azure): partner with the marketplace and other cross functional teams in R&D, Marketing, GTM to optimize Twilio’s business through cloud marketplaces Ecosystem Monetization: design revenue-share frameworks and co-sell incentives tailored to Twilio’s business Program & MDF ROI: Build analytical frameworks to measure the return on Market Development Funds (MDF), partner tier rebates, and GSI enablement investments Executive Decision Support: Deliver synthesized quarterly board-level narratives on partner-attributed versus partner-sourced trends as well as other strategic partner-related priorities Long-Range Planning: lead global partner forecasting, capacity planning, and multi-year investment modeling Unit Economics: Define, build, and monitor critical partner metrics including Partner-Sourced vs. Partner-Influenced Revenue, Margin-Adjusted CAC, and payback periods Commercial Models: Partner with Sales and Legal to evaluate, model, and approve non-standard partner contracts and bespoke commercial structures Develop robust financial models for new market expansion, evaluating the build-vs-buy-vs-partner economics for emerging international regions and product integrations Partner closely with Corporate Accounting and Commission teams to ensure accurate, timely accruals for partner rebates, referral fees, and MDF contra-revenue adjustments Own the global forecasting, budgeting, and month-end accruals for global partnership programs and incentives Collaborate with RevOps, GTM Systems, and Data Engineering to build scalable, automated reporting infrastructure Forge cross-functional alliances to identify margin drivers and scale cost-efficiency within the partner ecosystem. Execute agile scenario planning and ad-hoc analyses for senior leadership regarding partnership investments. Qualifications Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table! Required: 8+ years of FP&A experience in a progressive financial role Strong financial modeling skills, with experience in forecasting, budgeting, and reporting Excellent business acumen and ability to influence stakeholders with data-driven insights Comfortable working with ambiguity and problem-solving across multiple teams Ability to work independently and think strategically Excellent verbal and written communication skills Highly proficient with Google Sheets or Excel Desired: Bachelor’s degree in Finance, Business, Economics or related field, or equivalent experience Experience with Anaplan, Tableau, Looker, and Oracle a plus Location This role will be remote, but is not eligible to be hired in CA, CT, NJ, NY, PA, WA. Travel We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings. What We Offer Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location. Compensation *Please note the salary range information provided applies only to candidates residing in California, Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, New Jersey, New York, Vermont, Washington D.C., and Washington State due to local requirements. Compensation for candidates in other locations will be discussed during the hiring process. Please note that hiring for this role is not restricted to the locations listed above. The estimated pay ranges for this role are as follows: Based in Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, Vermont or Washington D.C. : $141,520.00-$176,900.00. Based in New York, New Jersey, Washington State, or California (outside of the San Francisco Bay area): $149,840.00-$187,300.00. Based in the San Francisco Bay area, California: $166,400.00-$208,000.00. This role may be eligible to participate in Twilio’s equity plan and corporate bonus plan. All roles are generally eligible for the following benefits: health care insurance, 401(k) retirement account, paid sick time, paid personal time off, paid parental leave. The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. Applications for this role are intended to be accepted until 10/12/26 but may change based on business needs. Twilio thinks big. Do you? We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call Twilio Magic . Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts. So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for, please consider other open positions. . Stay alert to recruitment fraud We care about your safety. Scammers sometimes impersonate Twilio recruiters through fake job postings, emails, websites, or messages. Please ensure you are engaging with an official @ twilio.com email address. We will never ask for payment, gift cards, cryptocurrency, or banking information during the recruiting process. We do not make job offers without a formal interview process or conduct interviews exclusively through text-based messaging apps. . Twilio is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.

Location: San Francisco; New York City Workplace: Hybrid Perplexity is AI for people who expect more. On the data team, that means building the systems that make our data reliable, understandable, and usable by both humans and AI. We're looking for an analytics engineer or data engineer who wants to build the foundation for an AI-native data organization. You'll design core data models, pipelines, semantic layers, data quality systems, governance practices, and warehouse workflows that power the entire company: helping teams make strategic decisions, operate the business, and move faster with trusted data. You'll also make sure those systems are secure, privacy-aware, and legible to AI agents, data scientists, and the rest of the company. This role is for someone who can operate at the boundary of analytics engineering, data engineering, data governance, and internal product. You care about dimensional modeling, dbt standards, cost-aware warehouse design, access controls, privacy, and the details that make data trustworthy. You also believe AI should make the data stack faster, easier to maintain, and more accessible across the company without weakening security or governance. WHAT YOU'LL DO - Build the core data foundation - design and maintain high-quality data models, marts, and pipelines that make analysis fast, reliable, and reusable. - Manage the data warehouse - help own warehouse architecture, environments, permissions, performance, cost, data lifecycle, and operational hygiene so the platform scales cleanly. - Make the warehouse AI-readable - own the documentation, semantic context, metadata, lineage, and retrieval patterns that AI systems depend on to understand and query Perplexity's data correctly. - Own data modeling standards - define and champion dbt patterns, dimensional modeling practices, naming conventions, tests, and review processes. - Lead data governance practices - define standards for access, ownership, lineage, documentation, retention, quality, and sensitive data handling across the analytical warehouse. - Build with security and privacy in mind - partner with engineering, security, legal, and finance where needed to ensure data access, sharing, and AI-enabled workflows are appropriate and controlled. - Automate data quality and maintenance - build AI-assisted workflows that detect issues, explain root causes, suggest fixes, generate tests, and reduce manual firefighting. - Improve data team productivity - automate repetitive workflows, improve tooling, streamline development, and make it easier for data scientists and stakeholders to answer questions. - Partner across the company - work closely with data scientists, engineering, product, finance, and GTM teams to translate analytical needs into durable data systems. - Shape tooling decisions - evaluate build-versus-buy tradeoffs, manage vendor relationships when needed, and choose tools that scale with the team. WHAT WE'RE LOOKING FOR - 6+ years of experience as an analytics engineer, data engineer, data scientist, or closely related role. - Deep SQL expertise - you can reason about correctness, performance, joins, grain, and edge cases in complex warehouse queries. - Strong data modeling experience - you've worked hands-on with dbt (or a similar transformation framework) in production, and you understand dimensional modeling, data contracts, testing, and how analytical schemas should evolve. - Pipeline ownership - you've built, maintained, debugged, and improved production data pipelines. - Warehouse management experience - you've worked with warehouse administration, access patterns, permissions, performance tuning, cost management, or operational ownership. - Governance mindset - you think clearly about data ownership, access controls, privacy, retention, lineage, auditability, and the risks of making data too easy to access. - AI-native working style - you already use AI to speed up development, documentation, QA, exploration, and repetitive workflow automation. - Stakeholder fluency - you know how to turn messy analytical requirements into trusted models, metrics, and reusable data assets. - Autonomy and execution - you can take projects from ambiguous problem to production-quality system with minimal oversight. - Operational judgment - you care about reliability, governance, security, cost, and long-term maintainability. BONUS - Snowflake administration, optimization, cost management, or warehouse performance tuning. - Experience with RBAC, PII handling, data classification, retention policies, audit workflows, or privacy/security reviews. - Experience with Databricks or other modern data infrastructure. - Experience building semantic layers, metrics layers, metadata systems, or data catalogs. - Python experience for data tooling, automation, orchestration, or quality checks. - Previous experience as an early analytics engineer or data engineer at a high-growth startup. WHY THIS ROLE - Own the foundation - your work will determine how fast and confidently the company can use data. - Build for humans and AI - the next generation of data infrastructure needs to be understandable by agents as well as analysts. - High leverage - better models, pipelines, and tools multiply every data scientist and every stakeholder who depends on data. - Small team, broad scope - you'll have room to define standards, choose tools, and ship systems that become company-wide defaults.

Location: Austin, in-person Role Summary As a Lead Accountant at inKind, you will play a critical role in strengthening the technical accounting, financial reporting, and accounting operations that support our continued growth. This is a senior individual contributor role designed for an experienced accountant who combines a strong public accounting / Big 4 foundation with the ability to operate hands-on in a fast-paced, high-growth environment. You will serve as a technical accounting resource across the Finance organization, helping evaluate complex transactions, establish accounting treatment and policies, strengthen controls, and ensure our financial reporting remains accurate, scalable, and GAAP compliant. You will work closely with the Controller and broader Finance team while partnering across Legal, Operations, Product, and other areas of the business. The ideal candidate can move comfortably between researching a complex accounting issue, preparing technical accounting documentation, reviewing financial statements, supporting an audit, and improving the underlying processes and systems that produce our financial information. This is an opportunity to bring the rigor and technical foundation of public accounting into a growing fintech and hospitality technology business where you can have significant ownership and impact. Who You Are You have a strong foundation in technical accounting and U.S. GAAP , ideally developed within a Big 4 or other leading public accounting firm. You enjoy solving complex accounting questions and can translate technical guidance into practical recommendations for the business. You are comfortable operating as a senior individual contributor and taking ownership of complex accounting matters from research through implementation. You combine technical rigor with commercial judgment and understand that accounting needs to support a rapidly evolving business. You are highly analytical, process-oriented, and exceptionally detail-focused. You are comfortable challenging existing processes and identifying opportunities to improve controls, reporting, systems, and automation. You can communicate complex accounting concepts clearly to both Finance and non-Finance stakeholders. You thrive in an environment where priorities evolve quickly and where you are expected to independently identify and solve problems. Responsibilities / Essential Functions Serve as a key technical accounting resource for the Finance organization, researching and evaluating complex accounting matters under U.S. GAAP. Assess the accounting implications of new products, contracts, partnerships, financing arrangements, investments, acquisitions, and other complex or non-routine transactions . Prepare clear, well-supported technical accounting memoranda and position papers , documenting conclusions and recommendations for management and external auditors. Develop, maintain, and improve accounting policies and procedures as the organization and its products continue to scale. Support the preparation and review of timely and accurate financial statements, including balance sheets, income statements, cash flow statements, and supporting schedules. Lead and review complex areas of the month-end, quarter-end, and year-end close , ensuring balances and transactions are appropriately recorded, supported, and reconciled. Review general ledger activity and account reconciliations, investigate unusual or complex transactions, and ensure appropriate accounting treatment. Partner with the Controller on complex accounting areas including revenue recognition, leases, equity and stock-based compensation, debt and financing arrangements, business combinations, consolidations, and other applicable accounting matters . Play a key role in external audits, including preparing supporting documentation, responding to technical accounting questions, coordinating audit requests, and resolving issues with external auditors. Strengthen the company's financial reporting environment through improved internal controls, documentation, reconciliation processes, and accounting procedures . Identify opportunities to improve and automate accounting workflows, reducing manual processes while increasing accuracy, consistency, and scalability. Partner with FP&A and other Finance team members to ensure consistency between accounting results, management reporting, forecasting, and financial analysis. Collaborate cross-functionally with Legal, Operations, Product, Technology, and other teams to understand new business initiatives and proactively identify their accounting implications. Provide technical accounting guidance and mentorship to other members of the Accounting and Finance team. Support tax filings, financial due diligence, financing activities, and other strategic Finance initiatives as required. Help build the accounting infrastructure, policies, and controls necessary to support inKind as the business continues to grow in scale and complexity. Required Skills / Qualifications Bachelor’s degree in Accounting, Finance, or a related field. CPA strongly preferred. 5+ years of progressive accounting experience , including meaningful experience within a Big 4 or other nationally recognized public accounting firm. Strong technical knowledge of U.S. GAAP and experience researching and documenting complex accounting matters. Experience preparing or reviewing technical accounting memoranda and supporting accounting conclusions with authoritative guidance. Strong understanding of financial statements, general ledger accounting, reconciliations, month-end close, and financial reporting. Experience supporting complex financial statement audits and working directly with external auditors. Demonstrated ability to evaluate complex or unusual transactions and determine appropriate accounting treatment. Strong analytical and problem-solving skills with exceptional attention to detail. Excellent written and verbal communication skills, particularly the ability to explain complex accounting concepts clearly. Ability to operate independently, manage multiple priorities, and take ownership of work in a fast-paced environment. Preferred Skills / Qualifications Big 4 audit or accounting advisory experience strongly preferred. CPA with experience serving technology, fintech, financial services, marketplace, or other high-growth clients. Experience transitioning from public accounting into a high-growth private company environment. Experience with technical accounting topics such as ASC 606, ASC 842, ASC 718, ASC 805, debt and equity instruments, consolidations, and complex financing transactions . Experience with NetSuite or another enterprise ERP system. Experience working with accounting systems, data integrations, SQL, financial reporting tools, or accounting automation. Experience supporting companies through periods of rapid growth, financing transactions, M&A, or increasing audit and reporting complexity. Experience designing or improving internal controls and accounting processes within a scaling organization. Work Environment The candidate in this position will be primarily located in an office environment and exposed to lighting, temperature, and noise-level conditions typical of that environment. This position is based in Austin, Texas , with an expectation of regular in-person collaboration from our downtown Austin office. inKind is committed to providing reasonable accommodations in employment opportunities for individuals with disabilities. To request disability accommodation, please contact the inKind People Team at careers@inkind.com. Some of Our Benefits Generous PTO and company holiday policy + company-paid Short-Term Disability 100% employer-covered health and dental insurance for our direct employees (a set plan is covered, with higher-tier healthcare coverage available at the employee’s additional cost; dependent coverage is at the employee’s cost); vision plan available at the employee’s additional cost Child Care Benefits and generous parental leave Dog-friendly workspace in a secure building with great views of downtown Austin Daily lunches and snacks Who we are: inKind connects passionate diners with exceptional restaurants across the country. inKind partners with thousands of restaurants and has millions of users who want to discover great places, dine confidently, and earn meaningful rewards. Through the inKind app, guests earn 20% back every time they dine, turning everyday meals into something more rewarding. From celebrated restaurant groups like José Andres and Michael Mina to beloved neighborhood favorites, inKind helps diners explore the best restaurants in town while supporting the restaurants and chefs who shape how their cities eat. Rooted in hospitality and built on a win-win philosophy, inKind exists to help great restaurants thrive while inspiring guests to dine out more often. Every meal creates value on both sides of the table, empowering diners to savor more while strengthening the restaurant community. inKind is an Equal Opportunity Employer. We believe that diversity is vital to inKind's ability to provide our clients with the best recommendations and are committed to fostering a varied and inclusive work environment. Your race, color, ancestry, religion, gender, gender identity, national origin, sexual orientation, age, marital status, disability status, veteran status, or any other protected category have no bearing on our hiring decisions. By submitting this application, you acknowledge that inKind Cards, Inc. may share the information you provide with trusted third-party service providers, including fraud detection and application processing partners, to evaluate your application and ensure the integrity of our hiring process. Your information will be handled in accordance with our Privacy Policy . For California residents and others with applicable rights, please review our privacy notice for information about your rights regarding your personal data.

Location: Austin, in-person About inKind inKind is transforming restaurant financing and customer engagement through an innovative fintech platform that provides restaurants with growth capital while helping consumers discover and enjoy dining experiences nationwide. As inKind continues to scale, our Finance organization is increasingly powered by technology, automation, and interconnected data. We’re looking for a Finance Systems & Automation Analyst who can help operate, troubleshoot, and improve the systems and workflows behind our accounting and financial processes. Position Summary This is not a traditional accounting role, and we are not looking for a software engineer. We are looking for a systems-oriented problem solver who is naturally good at understanding how things work, breaking complicated processes into logical steps, working with financial data, and figuring out what is happening when something doesn’t work as expected. You will sit at the intersection of Finance, Accounting, Data, and Technology , helping operate and improve the automated workflows that support our financial infrastructure. A significant portion of the role will involve working in NetSuite , alongside tools such as Google Sheets, SQL, internal data sources, integrations, and third-party platforms. You do not need to be an expert programmer. You do need to be comfortable looking at an unfamiliar process, dataset, formula, query, or piece of logic and methodically figuring out how it works. The ideal person has strong numerical intuition, exceptional attention to detail, and the curiosity to ask not only “Is this number correct?” but also “Where did this number come from, how did it get here, and how could we make this process better?” What You Will Do Finance & Accounting Operations Operate and maintain recurring accounting and finance workflows, including cash transaction categorization, journal entry preparation and uploads, reconciliations, and weekly/monthly reporting processes. Work extensively within NetSuite to support accounting operations, investigate issues, manage imports, and maintain accurate financial information. Manage the inputs and outputs of automated finance processes, including data validation, CSV preparation and uploads, exception handling, and transaction-level corrections. Adapt established processes to accommodate one-off transactions, new business scenarios, and evolving Finance requirements. Support weekly and monthly accounting close activities and maintain the automated workflows supporting those processes. Systems, Data & Automation Monitor automated financial data flows from source systems through accounting, forecasting, and reporting outputs. Ensure the continued availability, completeness, and accuracy of transaction history, balances, forecasts, and other financial information used across the organization. Build, maintain, and troubleshoot automated financial workflows across accounting systems, internal data sources, and third-party platforms. Investigate issues across Google Sheets logic, SQL queries, CSV imports, integrations, NetSuite, and other financial systems. Trace data through multiple systems to identify where errors or inconsistencies originate. Independently resolve routine systems and data issues while identifying the source, scope, and appropriate escalation path for more complex problems. Process Improvement & Problem Solving Break complex financial processes into clear, logical steps and identify opportunities to simplify or automate them. Understand existing formulas, queries, scripts, integrations, and workflows well enough to troubleshoot and improve them. Identify repetitive manual processes that could be standardized, automated, or eliminated. Support the implementation of new products, systems, and business processes as they interact with Accounting and Finance. Create ad-hoc reporting, tools, and analyses to answer new business questions. Partner across Finance, Accounting, Product, Engineering, Data, and other teams to translate business requirements into practical solutions. Document processes and workflows so that systems remain understandable, scalable, and maintainable as the company grows. What We Are Looking For Strong systems thinking — you naturally break problems into inputs, rules, dependencies, outputs, and exceptions. Strong numerical intuition and an ability to recognize when financial data does not make sense. Comfort working with large datasets and identifying patterns, anomalies, and inconsistencies. Ability to approach ambiguous problems with limited context and determine what questions need to be answered first. Strong attention to detail without losing sight of the broader process or business objective. Comfort learning unfamiliar systems, tools, formulas, and technical concepts independently. Ability to read and reason through existing formulas, queries, or code even if you would not consider yourself a developer. Ability to troubleshoot systematically rather than relying on trial and error. Strong communication skills and the ability to explain technical or financial processes in straightforward terms. Tools & Technical Experience Experience with some combination of the following is valuable: NetSuite or another ERP/accounting platform Advanced Google Sheets or Excel SQL and relational data Large structured datasets Financial reporting and reconciliation APIs, integrations, or third-party data connectors Automated workflows or low-code automation tools Financial or accounting data structures Deep expertise in every tool is not required . We care more about your ability to understand unfamiliar systems, reason through problems, and learn quickly than expertise in a particular programming language. Salary: $80,000 - $90,000 DOE + Benefits Who we are: inKind connects passionate diners with exceptional restaurants across the country. inKind partners with thousands of restaurants and has millions of users who want to discover great places, dine confidently, and earn meaningful rewards. Through the inKind app, guests earn 20% back every time they dine, turning everyday meals into something more rewarding. From celebrated restaurant groups like José Andres and Michael Mina to beloved neighborhood favorites, inKind helps diners explore the best restaurants in town while supporting the restaurants and chefs who shape how their cities eat. Rooted in hospitality and built on a win-win philosophy, inKind exists to help great restaurants thrive while inspiring guests to dine out more often. Every meal creates value on both sides of the table, empowering diners to savor more while strengthening the restaurant community. inKind is an Equal Opportunity Employer. We believe that diversity is vital to inKind's ability to provide our clients with the best recommendations and are committed to fostering a varied and inclusive work environment. Your race, color, ancestry, religion, gender, gender identity, national origin, sexual orientation, age, marital status, disability status, veteran status, or any other protected category have no bearing on our hiring decisions. By submitting this application, you acknowledge that inKind Cards, Inc. may share the information you provide with trusted third-party service providers, including fraud detection and application processing partners, to evaluate your application and ensure the integrity of our hiring process. Your information will be handled in accordance with our Privacy Policy . For California residents and others with applicable rights, please review our privacy notice for information about your rights regarding your personal data.

Location: Remote - US Workplace: Remote ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. ABOUT THE TEAM: We are a small but mighty team of three analytics engineers powering LangChain’s internal data infrastructure and analytics. We’re a full-stack team, meaning we work end-to-end across the data stack, from data ingestion to enabling self-serve agentic analytics. Learn more about what we’ve built so far here https://www.langchain.com/blog/agent-data-stack! ABOUT THE ROLE: We are expanding our data team and looking for a analytics engineer to join us. We build products used by elite companies and over a million developers, and data plays a critical role in sharping our strategies and decision making. In this role you will help lay the foundation for business teams to diagnose issues, uncover opportunities, and drive success using data. If you enjoy building data infrastructure and empowering teams with actionable insights, this role is for you. *Location: SF, NYC, Boston, or Remote U.S. WHAT YOU WILL DO: - Build scaleable dbt models and context that describe our business, powering a self-serve analytics experience - Work with and expand on our foundational data stack — Fivetran, dbt, BigQuery, Hex - Connect data from a variety of sources (Salesforce, Stripe, Metronome, Postgres, etc) into our BigQuery warehouse - Build dashboards that track progress against company goals and KPIs - Analyze product usage and operational data to surface insights around customer health, adoption, and revenue - Develop and leverage a deep understanding of our business metrics to drive alignment and decision-making WHAT YOU'LL BRING: - 3+ years experience in a related role (analytics engineer, data engineer, or similar) - Technical proficiency in BigQuery, dbt, Hex, Fivetran, Segment (or similar tools) - Detail oriented, enjoys data spelunking, and can synthesize findings effectively - Curiosity and a strong business sense to help anticipate needs and generate meaningful insights - Start up DNA. You thrive in fast-paced and unstructured environments and are energized by finding out what matters most - You are self-directed - you don’t wait for process or oversight to start making an impact Compensation & Benefits: We offer competitive compensation that includes base salary, meaningful equity, and benefits such as health and dental coverage, flexible vacation, a 401(k) plan, and life insurance. Actual compensation will vary based on role, level, and location. For team members in the EU and UK, we provide locally competitive benefits aligned with regional norms and regulations. Annual salary range: $140,000-$180,000 Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

Location: United States As an Embedded Software Engineer you will be at the forefront of creating, developing, and testing the software that drives and simulates our flight systems. Your role involves close collaboration with fellow client engineers across software and hardware domains to implement and debug software across the entire technology stack from applications and operating systems to networking, firmware, and simulation, ensuring complete mission success. We seek intelligent, collaborative, and driven engineers of all levels who are passionate about problem-solving and eager to contribute to an extraordinary mission. If you thrive in challenging environments and are excited by the prospect of making a tangible impact, we want to hear from you. Responsibilities: Autonomous Systems: Design and implement reliable autonomous software systems, along with the simulations required to validate their precision and dependability. Comprehensive Software Development: Manage the entire software development process, from initial design, prototyping and testing, to final integration and deployment for mission-critical applications. System Testing: Evaluate test outcomes and troubleshoot issues necessitating detailed investigations, including hands-on integration and debugging of hardware/software systems. Develop tools to facilitate testing across various environments: virtualized hardware, real hardware-in-the-loop, and vehicle-in-the-loop testing. Collaboration: Partner with multidisciplinary engineering teams to brainstorm, design, and develop next-generation hypersonic missile capabilities, including advanced guidance algorithms and integrated seeker image processing. Project Leadership: Lead major projects that propel Client's mission forward, ensuring alignment with overall objectives and occasionally traveling to launch and customer sites for testing and operations. Enhance Standards and Practices: Continuously improve software standards and best practices within the software team, fostering an environment of ongoing improvement and innovation. Basic Qualifications: Educational Background: Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, Mathematics, or a related STEM field, or equivalent practical experience. Experience: Open to candidates across all experience levels, from early-career engineers to senior technical contributors. Professional experience, internships, research, open-source contributions, or other hands-on technical work will be considered. Technical Proficiency: Experience with systems programming in languages such as C++, Python, or Rust, and familiarity with Linux-based development environments. Experience may include work with low-level systems such as Linux kernel development, hardware interfaces, or driver development (e.g., UART, I2C, or similar peripherals). Preferred Skills and Experience: Programming Expertise: Proven proficiency in C++, Rust, or similar systems programming languages. System Experience: Practical experience with real-time embedded systems or distributed computing environments in Linux-based systems, including developing high-quality Linux-based C++ software for common processors an microcontrollers (e.g., PowerPC, x86, ARM). Technical Skills: Proficiency in Linux, including Bash shell scripting, network troubleshooting, and performance analysis (strace, ftrace, etc.), with strong skills in debugging, performance optimization, and unit testing. System Knowledge: Comprehensive understanding of computer architecture and networking protocols (TCP, UDP, etc.). Problem-Solving: Innovative problem-solving approach using first-principles thinking, including developing prototypes to validate key design concepts and quantify technical constraints

Location: United Kingdom, London Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Location: London / Hybrid Duration: 6-12 Months Day Rate: £320 - £350 per day Engagement Method: Umbrella/PAYE We’re looking for a Organic Growth Specialist to join our Growth Marketing team for an initial 6-12 month period. Please note this role has been assessed as Inside IR35, and payment will be processed via PAYE or an umbrella company through our third-party partner. Role overview: The Organic Growth Specialist (Games / Hardware / Services) is responsible for improving the discoverability of PlayStation’s game catalogue across traditional search engines and AI-powered answer engines. Working closely with Editorial, Product Marketing and Analytics, you will optimise content throughout the game lifecycle, from announcement through launch and evergreen support, ensuring players can easily discover the games, franchises and experiences that matter most. This is a hands-on optimisation role combining SEO fundamentals with emerging GEO practices. You will identify opportunities, optimise content and contribute to initiatives that improve visibility, engagement and organic growth across PlayStation’s global gaming portfolio. What you’ll be doing: Own SEO and GEO optimisation across a portfolio of PlayStation game franchises. Identify opportunities through keyword, intent and entity research. Partner with Editorial teams to optimise game pages, franchise hubs, buying guides and evergreen content. Optimise page structure, metadata, headings, FAQs, internal linking and structured data. Support major first-party and third-party game launches through search planning and optimisation. Monitor search performance and identify opportunities for continuous improvement. Work closely with Analytics teams to evaluate performance and prioritise opportunities. Contribute to GEO initiatives that improve content retrieval and citation within AI-powered experiences. Collaborate with Product teams to improve page templates, components and customer journeys. Stay current with developments across Search, AI and the gaming industry. What we’re looking for: Experience delivering SEO programmes for large websites or digital brands. Strong understanding of keyword research, search intent and on-page optimisation. Experience using enterprise SEO platforms and analytics tools. Excellent analytical and problem-solving skills. Strong written and verbal communication. Ability to work collaboratively across multiple teams. Passion for gaming with strong knowledge of PlayStation products and franchises. Desirable: Experience with GEO or AI Search. Experience using Adobe Experience Manager. Experience working across multilingual or international websites Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: New York, NY (HQ); San Francisco, CA Workplace: Hybrid ABOUT RAMP Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. ABOUT THE ROLE  Buying something for a business should not require finance teams to piece together requests, purchase orders, receipts, and invoices across disconnected systems. Ramp is building a procurement experience that helps employees get what they need, gives finance teams control over commitments, and helps businesses pay for what they actually received. As a Product Manager for Ramp’s Procurement offering, you will own the vision, strategy, and roadmap for Ramp’s core procurement capabilities, including sourcing, requisition, approval workflows, renewals, purchase orders, receiving, two- and three-way matching, and inventory management. You will work with Engineering, Design, and Data to turn complex purchasing and accounting requirements into products that are easy to start using and reliable as customers grow. AI creates an opportunity to rethink this work: build agentic buying experiences for employees, automate work for approvers and stakeholders, and businesses make better purchasing decisions. You will decide where automation can take work off a customer’s plate, where a direct workflow is faster, and where a person needs to review or approve an action. Success means customers get value quickly, adopt the product in their everyday work, and spend less time chasing information and correcting errors. This role requires working in person at our NYC or SF office at least two days per week. Please note that this role requires in-person presence at our NYC or SF office at least 2 days/week. WHAT YOU’LL DO - Own the strategy and roadmap for Ramp’s Procurement pod. Make clear choices about which customer problems to solve, how the capabilities fit together, and what to build next. - Build connected workflows across sourcing, requisition, approvals, renewals, purchase orders, receiving, invoice matching, and inventory management. Partner with Bill Pay, Accounting, and platform teams so purchasing records and decisions carry through to payment and customers’ ERP systems. - Spend time with finance teams, procurement leaders, purchasing operators, and employees. Turn observed friction into simpler experiences for first-time customers and powerful workflows for complex organizations. - Build AI-powered experiences that complete useful work, such as finding new vendors, managing a renewal, drafting a request from a contract, or helping resolve a receipt and invoice discrepancy. Prototype with customers and decide what should be automated, suggested, or handled through direct user controls. - Make automation dependable. Partner with Engineering and Data to define quality measures, test realistic customer scenarios, learn from corrections, and provide clear explanations, approval boundaries, audit trails, and recovery when something goes wrong. - Own outcomes beyond launch. Define and improve activation, repeat usage, time to complete purchasing work, and the accuracy of matching and exception resolution. Use data and customer research to choose the next iteration. - Lead execution with engineers and designers, make scope and sequencing tradeoffs, and align partner teams on dependencies. Work with Sales, Implementation, and Customer Experience to turn customer commitments into repeatable product capabilities and support successful adoption. WHAT YOU NEED - At least three years of product management or equivalent product-building experience, with evidence of owning a product area from customer discovery through launch and measurable adoption. - Strong product judgment and systems thinking. You can simplify complex workflows while preserving the controls and flexibility customers need. - Hands-on AI fluency, demonstrated through products, prototypes, or meaningful projects. You can reason about model quality, latency, cost, and user control, and choose where AI improves the experience. - Technical and analytical fluency, developed through a technical or analytical degree or equivalent practical experience. You can work with engineers on data models and integrations, use data to investigate problems, and build prototypes to test ideas. - Deep customer curiosity and strong design judgment. You can learn unfamiliar purchasing and finance workflows, distinguish recurring needs from one-off requests, and make the product easier to use. - A track record of leading cross-functional teams, setting priorities, making difficult tradeoffs, and delivering outcomes through others. - Clear written and verbal communication. You can explain a product direction, a complex workflow, and the reasoning behind a decision to technical and non-technical audiences. NICE-TO-HAVES - Experience with procurement, purchasing, inventory management, accounts payable, or accounting software, including purchase orders, receiving, matching, and exception handling. - Experience shipping AI-powered products used in production, including document understanding, agent workflows, and evaluation systems. - Experience with ERP integrations, multi-entity businesses, or enterprise approval and permission models. - Experience building products where accuracy and trust matter, with meaningful auditability, user controls, and recovery paths. - Experience at a high-growth startup, taking new products from initial concept to sustained use or scaling an existing product. BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL) - Flexible PTO - Centralized home-office equipment ordering - Health and wellness stipend - Budget for intra-office travel - Weekly coffee stipend UNITED STATES - 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents - One Medical annual membership - 401(k), including employer match on contributions made while employed by Ramp - Fertility HRA (up to $10,000 per year) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay - Pet insurance - In-office perks: lunch, snacks, drinks, and more - Relocation expense coverage to NYC or SF (if needed) CANADA - Group medical, dental, and vision coverage through Sun Life - Life, AD&D, and disability coverage - Fertility drug coverage (up to $4,000 lifetime) - Group Retirement Plan with employer match (RRSP + DPSP) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay - Employee Assistance Program and virtual care through Lumino Health UNITED KINGDOM - Private medical insurance through Freedom Elite - Virtual GP and at-home care via eMed x Livi - Workplace pension through Penfold, with salary sacrifice option - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay REFERRAL INSTRUCTIONS If you are being referred for the role, please contact that person to apply on your behalf.   OTHER NOTICES Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.   Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.   Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice

Location: San Francisco, CA Workplace: OnSite ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. About the team SmithDB is LangChain's internal database team. We're building a storage and query layer purpose-built for AI observability and evaluation. Within six months we went from idea to a production system that offers industry leading performance and scalability for agent observability data. We're a small, fast team of systems engineers tackling genuinely hard problems: storage layout, query execution, compaction, and scaling toward trillions of agent traces. We develop in Rust, run on Kubernetes, and integrate tightly with S3/GCS/Azure Blob. There are no legacy constraints; this is a greenfield system with real production load and ambitious engineering goals.   About the role We're looking for a hands-on Engineering Manager to lead the SmithDB team. This is not a pure people-management role. You'll write production code, review PRs at the systems level, make architectural calls, and be in the weeds alongside your engineers. At the same time, you'll own team health, hiring, technical roadmap, and coordination with the broader LangSmith platform. The ideal candidate has deep systems or database engineering experience and genuinely prefers to stay technical while growing a team.   What you'll do - Write and review production Rust code across ingestion, query execution, and storage layers - Lead architectural decisions on storage format, compaction, indexing, and query planning - Drive performance investigations using memory and CPU profiling tools; own the path from profiling to shipped fix - Design and harden the distributed deployment of SmithDB services on Kubernetes (multi-tenant, high-throughput, low-latency) - Contribute to cloud object store integrations (S3, GCS, Azure Blob) and set the standard for how SmithDB manages data at rest and in flight - Build and maintain observability for the engine itself: metrics, tracing, debug tooling - Manage a small but growing team of systems engineers: set goals, run 1:1s, provide technical mentorship, and grow careers - Own the SmithDB technical roadmap in partnership with LangSmith product and engineering leadership - Communicate progress, risks, and tradeoffs clearly to the broader organization: you write concise, decision-ready updates   What you'll bring - 7+ years in systems or database engineering, with at least 2 years in a technical lead or engineering management role - Production Rust experience — you can write it, review it, and have opinions on how to structure it at scale - Deep understanding of database or storage engine internals: query execution, storage layouts, indexing, compaction - Proficiency in systems performance analysis: memory allocators, CPU hotspots, lock contention, async runtimes (Tokio) - Experience deploying and operating distributed services on Kubernetes in a production, multi-tenant environment - Familiarity with cloud object storage (S3-compatible APIs, consistency models, cost/performance tradeoffs) - Proven track record of managing engineers — you can recruit, retain, and level-up a team without losing your technical edge Nice-to-have: - Experience building or contributing to columnar storage formats (Parquet, Arrow), OLAP query engines, or time-series stores - Background in observability infrastructure or tracing pipelines (OpenTelemetry, ClickHouse, Prometheus) - Experience scaling a system from early-stage to hundreds of billions / trillions of records   Compensation Salary Range: $240,000-$300,000 USD Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

Location: Montreal, Canada ROLE OVERVIEW Our client is seeking a CONOPS and Mission Analysis System Engineer to own the definition, development and documentation of CONOPS, mission scenarios, operational concepts and quantitative mission analyses for current and next‑generation earth observation and communications satellite missions. The engineer will work closely with customers, prime contractors and internal multidisciplinary teams to translate stakeholder needs into clear, traceable operational concepts that guide system architecture, requirements allocation, risk assessment and program planning . Requirements & Systems Engineering Capture stakeholder functional, performance, environmental, and security requirements. Conduct workshops and trade studies to define mission needs. Translate mission objectives into system-level requirements with full traceability. Define and manage spacecraft, payload, and ground-segment interfaces (ICDs, data flows). CONOPS & Mission Analysis Develop and maintain the Concept of Operations (CONOPS) covering all mission phases. Produce supporting artifacts (timelines, scenarios, flow diagrams). Perform mission modeling and analysis (orbit, coverage, link budget, resources). Evaluate architectural trade-offs (orbit, constellation, payload) across cost, risk, and performance. Integration, Verification & Program Support Develop verification plans, test matrices, and validation procedures. Support system integration, IVV activities, and operational readiness. Present technical results at key reviews (SRR, PDR, CDR, ORR). Maintain configuration control within PLM tools. Support B&P activities and technology roadmapping. Operations & On-Orbit Support Support mission operations during critical phases. Monitor telemetry, analyze performance, and update models/CONOPS as missions evolve. Assist with contingency handling, SOOH development, and operator training. Leadership & Collaboration Lead trade studies and coordinate cross-functional teams. Communicate risks and technical status to management and customers. Mentor junior engineers and contribute to process improvement initiatives. Qualifications B.Sc. in Aerospace, Electrical Engineering, or Physics with 8+ years in LEO/MEO mission planning & operations. Strong foundation in systems engineering, orbit mechanics, and space environment. Hands-on integration and troubleshooting experience. Experience with Confluence and JIRA. Strong analytical, communication, and independent working skills. English required; French is an asset.

Location: Remote, Canada; Remote, United States GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role You'll lead GitLab's Dedicated Infrastructure team, combining hands-on technical leadership with team development. Working with the team's Product Manager, you'll balance delivery speed and quality, guide architecture decisions, and lead the team through incidents. You'll demonstrate ideas through proofs of concept, give team members meaningful feedback, and use data to make prioritization and risk decisions. What you’ll do Partner with the team's Product Manager to set clear priorities and deliver with quality and speed. Maintain at least 99.9% availability for Dedicated infrastructure, strengthen security, and automate operations to support more tenants at scale. Give your team clear direction and meaningful feedback, and build shared ownership of development and operations. Improve the platforms and tools your team owns so feature implementers can manage their services in production through self-service workflows. Recruit, onboard, and develop productive team members, supporting their growth and accountability. Lead by example with proofs of concept and artificial intelligence (AI)-assisted approaches. Simplify processes and automate repetitive manual work. Model effective incident management, lead timely resolution and escalation, and document and teach best practices across GitLab. Use data to prioritize work, quantify impact, and manage risk and technical debt. Explain technical trade-offs to stakeholders to support their decisions. What you’ll bring A track record of building and owning large-scale distributed services, with the technical depth to evaluate architecture and guide technical strategy. Experience with fleet management, Terraform, Amazon Web Services (AWS), and automated provisioning at a scale of 20 or more clusters. Experience owning services with 99.99% availability service-level objectives (SLOs), and an understanding of the operational practices needed to sustain them. Experience using AI tools to improve team productivity, with lessons learned from both successes and missteps. Experience building and managing accountable, high-performing teams, including addressing underperformance and making difficult performance decisions when needed. The ability to lead complex projects to completion without relying on a dedicated Technical Program Manager. Experience leading distributed, remote teams effectively. About the team We build and operate the large-scale distributed infrastructure for GitLab Dedicated, our hosted software as a service (SaaS) platform. Our work centers on availability, security, fleet management, and automated provisioning across tenants. We also build self-service platforms and tools that enable feature implementers to own their services in production. At GitLab, our mission is simple: to enable everyone to contribute to and co-create the software that powers our world. We collaborate asynchronously, with autonomy, accountability, and transparency guiding how we work. The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity . Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. United States Salary Range $152,800 — $259,200 USD How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: New York HQ Workplace: OnSite ABOUT AVOCA Avoca is transforming how home service companies engage with their customers. Our AI-powered conversational agents handle every high-value inbound call, from booking jobs, qualifying leads, and driving higher revenue, all at a speed and consistency unmatched by human call centers. We're a Series B startup backed by Kleiner Perkins, Meritech Capital, General Catalyst, and other top-tier investors, with $125M raised and a $1B valuation. We grew 10x in 2025 and have scaled to 170+ employees in under two years across our NYC headquarters and Santa Barbara office. In a $1T+ market where 85% of missed calls go to competitors, we're building the category-defining platform for AI-driven customer engagement, serving the largest brands in home services. With high-energy, in-office teams in both locations, every hire here has an immediate and visible impact. ABOUT THE ROLE As a Field Engineer on the Pre-Sales team, you'll be the technical builder behind how we win and enable deals. You'll own two things: the integration work that proves technical feasibility to prospects and partners during the sales cycle, and the demo tooling that lets the entire go-to-market team tell a credible, product-accurate story. You'll work at the intersection of Sales, Partnerships, Product, Engineering, and AI, partnering with Account Executives and the Partnerships team as their technical counterpart. Unlike our Sales Engineers, who lead the customer-facing technical narrative, this role goes a layer deeper on the build: you're the person who can actually stand up a working integration against an unfamiliar API and turn it into a repeatable demo asset. This is a pre-sales role: you won't carry a closing quota, but your work directly determines whether technical buyers and integration partners trust that Avoca does what we say it does. WHAT YOU’LL DO - Own technical scoping and feasibility for pre-sales opportunities and partner integrations; turning ambiguous requirements from prospects, partners, and AEs into concrete, working implementation plans. - Build working integrations against third-party APIs, CRMs, field service management (FSM) platforms, telephony systems, and partner ecosystems, writing real code, handling REST APIs, JSON, authentication, and webhooks, and getting a credible proof of concept working quickly. - Build and maintain the demo and sandbox tooling the GTM org relies on: reusable demo environments, representative fixture data, and internal tools, treating one-off deal builds as reusable assets (integration patterns, reference implementations, scripts) rather than throwaway work. - Configure and tune Avoca's conversational AI for demo and POC scenarios, including prompt engineering to reflect real customer workflows. - Serve as the technical counterpart to Account Executives and Partnerships in the room with a prospect's or partner's engineering team, establishing credibility from the C-suite to individual developers, and translating those conversations into plans a non-technical AE can run with. - Troubleshoot and resolve technical issues that surface during evaluations, pilots, and POCs, protecting at-risk deals and partner launches. - Partner with Product and Engineering to feed recurring integration gaps and field learnings back into the roadmap, and to keep demo environments current as the product evolves. - Partner with (not replace) Forward Deployed Engineering and Implementation when a build needs to graduate from a working POC to a hardened production deployment: you own the pre-sales build and the demo layer; production delivery is a handoff. WHAT YOU'LL BRING - 4+ years in a technical, customer-facing role: Solutions/Sales Engineering, Forward Deployed / Deployment Engineering, Implementation or Integration Engineering, Solutions Consulting, or software engineering with meaningful customer exposure. - Hands-on ability to build. Proficient in TypeScript/JavaScript (Next.js, React, Node/Fastify); ships production-grade code and independently stand up an integration or demo tool, not just spec one for someone else to build. You don't need to be a production backend engineer, but "can build it yourself" is the bar. - Practical experience integrating against third-party APIs and enterprise systems: REST, JSON, authentication/OAuth, webhooks, and comfort working from unfamiliar or incomplete API documentation. - Working SQL and a solid grasp of relational data: enough to model, transform, and wire up realistic data for integrations and demo environments. - Experience owning something technical end-to-end, from requirements through build, testing, and a working rollout, even if handed off afterward. - Strong technical judgment and troubleshooting instincts, and the ability to explain complex technical concepts clearly to both technical and non-technical audiences. - A product mindset toward internal tooling: you treat demo and sandbox infrastructure as a product with users (the GTM team). - Familiarity with AI-powered products, conversational AI platforms, or data-driven systems. Bonus: prompt engineering, call center / communications platforms, CRM or FSM integrations, or prior Partnerships/channel support experience. WHO YOU ARE - Self-motivated, entrepreneurial, and comfortable operating in fast-moving, high-growth environments. - A builder who thrives on owning things end-to-end and turning one-off work into something reusable. - Autonomous, self-directed, and comfortable with ambiguity and incomplete requirements. - A proactive, effective communicator who's equally credible with a customer's engineers and your own AEs. - In-office, engaged, and eager to collaborate at our NYC location full-time. BENEFITS - Comprehensive medical, dental, and vision insurance - Company-sponsored 401(k) through Vestwell - Flexible PTO plus U.S. federal holidays - Company-wide off-sites - Daily in-office lunch through Parkday - Monthly wellness stipend - Dinner covered when working late - Commuter benefits and late-night rideshare - Standing desks and workspace accommodations available on request - All core tools and software provided Compensation: The expected base salary for this role is $160,000-$200,000 with final compensation based on experience, skills, and qualifications determined during the interview process. Avoca’s total compensation package includes base salary, bonus, equity, and a comprehensive suite of benefits and perks. Our Recruiting team will share the full details as you progress through our hiring process. WHY AVOCA At Avoca, you’ll be part of a team that’s building a category-defining company at the center of a massive market opportunity. We’re a fast-moving, collaborative team with a culture designed for builders who thrive on speed, iteration, and impact. Avoca provides equal employment opportunities to applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability.

Location: San Francisco, CA Workplace: OnSite ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. ABOUT THE ROLE We're hiring an IT Systems Administrator to join the founding IT team in San Francisco. You'll run most of our SaaS stack day to day, from maintenance and configuration changes to access and troubleshooting. You'll also build the automation that keeps that stack running as we grow. This is a role for someone who does a bit of everything: helping an employee that’s locked out, shipping a terraform change, and building an automation that removes a manual task. The ideal candidate has startup experience, is comfortable with ambiguity, and heavily leans into automation. WHAT YOU'LL DO SaaS Administration - Own the day-to-day administration of our SaaS stack, including maintenance, configuration changes, and license management - Administer LangSmith, our product, and use APIs to automate admin work - Administer identity and permissions across core SaaS platforms such as Google Workspace, Slack, GitHub, Zoom, and Microsoft 365 Automation and Tooling - Develop scripts, integrations, and reusable workflows using low or no code tools - Connect systems through APIs and event-driven workflows to reduce manual work Identity Management - Administer Okta and user access - Manage Okta group rules that help define our RBAC policy - Establish repeatable standards and automation for employee lifecycle, group management, application provisioning, and access reviews Client Platform Administration - Administer our MDM platform, Iru, to enforce policy configurations, patching, zero-touch deployment, and custom desktop environment configurations - Automate the hardware lifecycle from procurement, assignment, return, and recycling Core IT Operations - Provide hands-on troubleshooting and support to employees in the office and remotely across hardware, software, networking, and SaaS tools - Build and maintain the harness for our AI ITSM agent, including the tools, playbooks, and knowledge it needs to resolve issues on its own - Write documentation and playbooks, and use recurring support issues to guide what to automate next WHAT YOU'LL BRING - 3+ years of experience in IT systems administration or IT engineering, ideally at a fast-growing startup - Experience administering a broad SaaS stack that includes Google Workspace, Slack, Notion, and AI tools like Claude and ChatGPT - Hands-on experience administering Okta, including SSO, SCIM provisioning, and Okta Workflows - Comfort with REST APIs, webhooks, and API authentication methods - Experience using coding agents (e.g. Claude Code) as part of your day-to-day workflow - Experience with a macOS MDM platform and endpoint security tooling - Solid networking fundamentals (TCP/IP, DNS, DHCP, VPNs, wireless) - Clear communication, with patience for non-technical users - Annual salary range: $120,000-$160,00 USD Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

The role You will build and lead our Forward Deployed Engineering team: the engineers who connect estaie to the hospitality ecosystem and make those integrations work in production. You own how the team works, what it ships, and the quality bar it holds.