Вакансии

Location: Serbia; Romania; Hungary Crystalia Glass LLC is a U.S.-based manufacturer and provider of premium glass solutions, specializing in custom glass partitions for residential, commercial, and institutional projects. We operate a full-cycle model - from design and manufacturing to sales, delivery, and installation - with production facilities in the United States and Europe. The U.S. market is our core focus. Crystalia Glass is a stable, scaling business, serving B2C, B2B, and B2G clients across multiple states. We combine strong product quality, competitive pricing, high service standards, and operational efficiency to set a benchmark within our industry. We are strengthening our commercial function and are looking for a Sales Manager to take full ownership of sales execution, team performance, and revenue growth in a high-volume, inbound-driven environment. The Role This is a hands-on leadership role requiring strong operational involvement. The Sales manager will own sales performance end-to-end, including CRM operations, inbound lead management, call quality, analytics, and team development. Responsibilities: CRM & Sales Operations: - Own and optimize CRM and sales operations, including pipeline structure, lead lifecycle, data hygiene, SLAs, and inbound workflows - Enforce strong CRM discipline across the sales team through training, audits, and corrective actions - Drive performance through structured reporting and dashboards, continuously identifying and improving funnel efficiency Team Leadership & Development: - Lead and develop the sales team - Provide ongoing coaching and mentoring to team members, conducting regular performance reviews and setting goals to ensure they achieve and exceed their targets - Participate in the recruitment and training of new team members, ensuring they are aligned with company values and priorities Inbound Lead Management: - Manage a high-volume inbound lead flow, ensuring fast response times, high-quality lead handling, and balanced workload across Sales Reps. - Continuously optimize lead distribution to maximize efficiency, conversion, and team performance Call Quality & Communication Standards: - Own call quality and communication standards, with calls as the primary channel for US-based clients - Regularly review calls, coach on objection handling and structure, analyze deal losses, and develop supporting channels such as SMS and email Performance & Analytics: - Lead the sales function through data and metrics, including conversion rate, close rate, average deal value, speed to lead, and revenue per rep. - Design and execute data-backed initiatives to improve conversion and overall sales performance Proactivity & Continuous Improvement: - Proactively identify and solve problems, taking full ownership even with limited resources - Continuously initiate improvements across sales processes, marketing collaboration, tools, and customer engagement with a focus on measurable business impact Requirements - 7–10 years of relevant sales experience, with a strong background in sales execution and revenue growth - At least 2 years of managerial experience, leading and developing sales teams - Proven experience in sales roles, including hands-on ownership of targets, pipelines, and performance - Strong hands-on experience with CRM systems (HubSpot or similar), including daily operational use, reporting, and pipeline control - Experience managing inbound sales, preferably in a B2C or high-volume environment - Experience leading teams of 5+ Sales Reps. - Strong analytical mindset with the ability to make data-driven decisions - Experience with call-based sales models - Fluent English (working with US-based clients) - High level of involvement in day-to-day sales operations Nice-to-Have - Experience scaling inbound sales teams - Proven success improving conversion rates - Familiarity with call tracking and call scoring tools - Background in fast-growing or high-volume sales environments Benefits - Full-time, remote role (8:30 AM – 5:00 PM EST). - B2B contract. - Fixed salary plus performance-based bonuses. - Real ownership of the sales function in a scaling U.S. business. - Opportunity to work with a professional international team and prestigious U.S. clients.

Crystalia Glass29 дн назад

Location: Estonia; Ljubljana, Slovenia; Moldova; Warsaw, Poland; Lithuania; Latvia Crystalia Glass LLC is a U.S.-based manufacturer and provider of premium glass solutions, specializing in custom glass partitions for residential, commercial, and institutional projects. We operate a full-cycle model - from design and manufacturing to sales, delivery, and installation - with production facilities in the United States and Europe. The U.S. market is our core focus. Crystalia Glass is a stable, scaling business, serving B2C, B2B, and B2G clients across multiple states. We combine strong product quality, competitive pricing, high service standards, and operational efficiency to set a benchmark within our industry. We are strengthening our commercial function and are looking for a Sales Manager to take full ownership of sales execution, team performance, and revenue growth in a high-volume, inbound-driven environment. The Role This is a hands-on leadership role requiring strong operational involvement. The Sales manager will own sales performance end-to-end, including CRM operations, inbound lead management, call quality, analytics, and team development. Responsibilities: CRM & Sales Operations: - Own and optimize CRM and sales operations, including pipeline structure, lead lifecycle, data hygiene, SLAs, and inbound workflows. - Enforce strong CRM discipline across the sales team through training, audits, and corrective actions. - Drive performance through structured reporting and dashboards, continuously identifying and improving funnel efficiency. Team Leadership & Development: - Lead and develop the sales team - Provide ongoing coaching and mentoring to team members, conducting regular performance reviews and setting goals to ensure they achieve and exceed their targets - Participate in the recruitment and training of new team members, ensuring they are aligned with company values and priorities Inbound Lead Management: - Manage a high-volume inbound lead flow, ensuring fast response times, high-quality lead handling, and balanced workload across Sales Reps. - Continuously optimize lead distribution to maximize efficiency, conversion, and team performance. Call Quality & Communication Standards: - Own call quality and communication standards, with calls as the primary channel for US-based clients. - Regularly review calls, coach on objection handling and structure, analyze deal losses, and develop supporting channels such as SMS and email. Performance & Analytics: - Lead the sales function through data and metrics, including conversion rate, close rate, average deal value, speed to lead, and revenue per rep. - Design and execute data-backed initiatives to improve conversion and overall sales performance. Proactivity & Continuous Improvement: - Proactively identify and solve problems, taking full ownership even with limited resources. - Continuously initiate improvements across sales processes, marketing collaboration, tools, and customer engagement with a focus on measurable business impact. Requirements - 7–10 years of relevant sales experience, with a strong background in sales execution and revenue growth. - At least 2 years of managerial experience, leading and developing sales teams. - Proven experience in sales roles, including hands-on ownership of targets, pipelines, and performance. - Strong hands-on experience with CRM systems (HubSpot or similar), including daily operational use, reporting, and pipeline control. - Experience managing inbound sales, preferably in a B2C or high-volume environment. - Experience leading teams of 5+ Sales Reps. - Strong analytical mindset with the ability to make data-driven decisions. - Experience with call-based sales models. - Fluent English (working with US-based clients). - High level of involvement in day-to-day sales operations. Nice-to-Have - Experience scaling inbound sales teams. - Proven success improving conversion rates. - Familiarity with call tracking and call scoring tools. - Background in fast-growing or high-volume sales environments. Benefits - Full-time, remote role (8:30 AM – 5:00 PM EST). - B2B contract. - Fixed salary plus performance-based bonuses. - Real ownership of the sales function in a scaling U.S. business. - Opportunity to work with a professional international team and prestigious U.S. clients.

Crystalia Glass29 дн назад

Workplace Project Manager

Location: Dominican Republic; Costa Rica; Albania; Bulgaria; Croatia; Czechia Crystalia Glass LLC is a U.S.-based manufacturer and provider of premium glass solutions, specializing in custom glass partitions for residential, commercial, and institutional projects. We operate a full-cycle model - from design and manufacturing to sales, delivery, and installation - with production facilities in the United States and Europe. The U.S. market is our core focus. Crystalia Glass is a stable, scaling business, serving B2C, B2B, and B2G clients across multiple states. We combine strong product quality, competitive pricing, high service standards, and operational efficiency to set a benchmark within our industry. We are strengthening our commercial function and are looking for a Sales Manager to take full ownership of sales execution, team performance, and revenue growth in a high-volume, inbound-driven environment. The Role This is a hands-on leadership role requiring strong operational involvement. The Sales manager will own sales performance end-to-end, including CRM operations, inbound lead management, call quality, analytics, and team development. Responsibilities: CRM & Sales Operations: - Own and optimize CRM and sales operations, including pipeline structure, lead lifecycle, data hygiene, SLAs, and inbound workflows - Enforce strong CRM discipline across the sales team through training, audits, and corrective actions - Drive performance through structured reporting and dashboards, continuously identifying and improving funnel efficiency. Team Leadership & Development: - Lead and develop the sales team - Provide ongoing coaching and mentoring to team members, conducting regular performance reviews and setting goals to ensure they achieve and exceed their targets - Participate in the recruitment and training of new team members, ensuring they are aligned with company values and priorities Inbound Lead Management: - Manage a high-volume inbound lead flow, ensuring fast response times, high-quality lead handling, and balanced workload across Sales Reps - Continuously optimize lead distribution to maximize efficiency, conversion, and team performance Call Quality & Communication Standards: - Own call quality and communication standards, with calls as the primary channel for US-based clients - Regularly review calls, coach on objection handling and structure, analyze deal losses, and develop supporting channels such as SMS and email Performance & Analytics: - Lead the sales function through data and metrics, including conversion rate, close rate, average deal value, speed to lead, and revenue per rep - Design and execute data-backed initiatives to improve conversion and overall sales performance Proactivity & Continuous Improvement: - Proactively identify and solve problems, taking full ownership even with limited resources - Continuously initiate improvements across sales processes, marketing collaboration, tools, and customer engagement with a focus on measurable business impact Requirements - 7–10 years of relevant sales experience, with a strong background in sales execution and revenue growth - At least 2 years of managerial experience, leading and developing sales teams - Proven experience in sales roles, including hands-on ownership of targets, pipelines, and performance - Strong hands-on experience with CRM systems (HubSpot or similar), including daily operational use, reporting, and pipeline control - Experience managing inbound sales, preferably in a B2C or high-volume environment - Experience leading teams of 5+ Sales Reps. - Strong analytical mindset with the ability to make data-driven decisions - Experience with call-based sales models - Fluent English (working with US-based clients) - High level of involvement in day-to-day sales operations Nice-to-Have - Experience scaling inbound sales teams - Proven success improving conversion rates - Familiarity with call tracking and call scoring tools - Background in fast-growing or high-volume sales environments Benefits - Full-time, remote role (8:30 AM – 5:00 PM EST) - B2B contract - Fixed salary plus performance-based bonuses - Real ownership of the sales function in a scaling U.S. business - Opportunity to work with a professional international team and prestigious U.S. clients

Harvey29 дн назад

Location: Toronto Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW As a Workplace Project Manager, you'll take our workplace playbooks and standards and turn them into delivered projects and programs on the ground - office moves and openings, and global special projects like health & safety programming, design standards, emergency response planning, WVPPs, sustainability, and new tooling rollouts. This is a hands-on delivery role: you own scope, schedule, and budget for each project or program and drive it from kickoff to close. Where the program sets the standard, your projects and programs bring it to life - on time, on budget, and to spec. WHAT YOU'LL DO Global Special Projects - Project manage Workplace's global special projects: health & safety (H&S) programming, global design standards, global emergency response programming, Workplace Violence Prevention Plans (WVPPs), and sustainability programming across Harvey's office portfolio. - Partner with Security, HR, Legal, and regional Workplace leads to build and roll out emergency response plans and WVPPs that meet local regulatory requirements while staying consistent with Harvey's global standards. - Maintain and evolve global design standards (furniture, finishes, signage) so offices feel consistently "Harvey" as we scale into new markets. - Drive sustainability initiatives across offices - vendor and materials selection, energy and waste programs - and track progress against goals. - Own the global rollout of Workplace tooling and software - evaluating, piloting, and implementing platforms like desk booking, occupancy, and ticketing, and driving stakeholder training and adoption. - Own global and national vendor contracts (F&B, janitorial, plants, and similar categories) - procurement, negotiation, and the master vendor relationship - while regional workplace managers own the day-to-day relationship, performance, and feedback in their offices. Global Playbook & Portfolio Management (Moves & Openings) - Build and maintain the FDOB checklist and playbook that regional workplace leads execute against for satellite moves, expansions, and new-office openings. - Own the portfolio-level calendar tracking when and where expansions and new offices are happening across the org, so Workplace can sequence and resource projects appropriately. - Step in to lead a move, opening, or buildout directly where a region doesn't yet have an established workplace manager, or where the existing regional team doesn't have the bandwidth - expect this to be a shrinking share of the role over time as regional coverage matures. - Coordinate with IT, Security, and AV to keep day-one readiness standards current in the playbook, so regional teams can deliver consistently without you running each project personally. Program Management - Build and maintain project plans, schedules, and budgets across global programs and the FDOB playbook; track milestones, dependencies, and risks, and communicate status clearly to stakeholders and leadership. - Maintain the portfolio-level view across all in-flight and planned moves, openings, and buildouts, flagging sequencing and resourcing risks to leadership. - Manage vendor relationships tied to your global contracts and programs, holding them accountable to schedule and quality. - Report to the Global Workplace Operations Manager to ensure every program and playbook meets Harvey's workplace standards and sets regional teams up for smooth steady-state operations. WHAT YOU HAVE - 5+ years in workplace operations, program management, or project management, with experience leading cross-functional programs such as health & safety, emergency preparedness, sustainability, or systems/tooling rollouts. - Strong program design and playbook-building instincts - you'd rather build a system and standard that others execute against well than run every project yourself. - Experience managing vendor and procurement relationships at a national or global scale. - Strong command of project management fundamentals - scope, schedule, budget, risk, and stakeholder communication. - Experience partnering with (not necessarily owning) construction, real estate, or facilities teams on office moves or buildouts. - Excellent organizational and communication skills; you keep complex, fast-moving programs on track and everyone informed. - Comfort with ambiguity and a hands-on, get-it-done approach. - Based in Toronto and able to work on-site at our Toronto office, with willingness to travel to other sites as projects require. NICE TO HAVE - Experience building or administering H&S programs, emergency response plans, or WVPPs. - Experience with sustainability program design or reporting. - Familiarity with project / workplace tools - e.g., Asana, Smartsheet, Envoy, OfficeSpace. - Experience building playbooks or programs that scale across a distributed, multi-region team. COMPENSATION $91,400 - $ 137,000 CAD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. #LI-ML1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Harvey29 дн назад

Manager, CX Knowledge & Enablement

Location: San Francisco; Remote; New York Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW Harvey is building a world-class support function, and the pace at which our product evolves means enablement is the infrastructure our customer experience runs on. We're looking for a Manager of CX Knowledge & Enablement to build that infrastructure and lead the team that owns it. The function is new as of this quarter. The foundation exists; most of what it needs to become does not. Reporting to the CX Operations Manager, you will manage the Enablement team and own the knowledge infrastructure that customer-facing and AI-assisted work runs on, along with the competency and quality programs built on top of it: onboarding, ongoing product and process training, and quality assurance. You'll define what this function is responsible for, what it deliberately isn't, and the roadmap that gets it there. Your goal is to help CX specialists succeed: build confidence, develop the skills to handle complex customer issues, and consistently meet their performance targets through practical learning and support tailored to their needs. You'll lead a team that carries the execution, and you'll stay hands-on through a build phase where most of the system doesn't exist yet: designing the architecture, writing the first version of the standards, proving the model before handing it off. This is a role for someone with a point of view on where support enablement is headed in an AI-assisted org, and the bias for execution to get there. WHAT YOU'LL DO - Own the knowledge infrastructure strategy end to end: the architecture, the consolidation path off our current fragmented surfaces, the governance model, and the platform decisions. This covers the full content surface: enablement and training, product best practices, troubleshooting, and product support. - Architect that knowledge to be structured, retrievable, and reliable enough to serve both human and AI consumers. - Own the standards for support competency at Harvey: what "ready" means from onboarding through mastery, how it's measured, and how readiness is maintained against a product that changes weekly. - Own the quality system as the diagnostic layer on top of the infrastructure. Where knowledge is wrong, missing, or unfindable it should route back into the platform rather than into a training backlog. - Build the release-to-readiness loop with Product and Product Ops and the mechanism that converts what's shipping into organizational readiness ahead of the ticket volume. - Design a balanced, audience-appropriate learning strategy. Choose the right mix of instructor-led sessions, self-paced modules, written documentation, short-form video, peer learning, and in-workflow guidance for each audience, type of content, and level of urgency. - Build and lead the team that maintains the system: hire ahead of need, set a high bar, and scale the team's capability in step with the organization it serves. - Measure the system by its downstream outcomes: specialist ramp time, attainment of performance targets, speed to competency on new releases, resolution quality, and deflection through self-serve and agent-handled resolution. Combine quantitative metrics with structured specialist feedback, turn the findings into targeted action plans, and report on effectiveness to leadership - Use AI in the work itself, not just as a consumer of it: generating and maintaining content, detecting staleness and gaps from ticket signal, and automating the parts of enablement that shouldn't need a person. Treat the team's own leverage as something to keep raising. - Partner with the AI Support team, Engineering, Product, and GTM Enablement to make sure the knowledge layer serves every surface that depends on it, and own the agent-facing content itself. WHAT YOU HAVE - 8+ years across knowledge management, support enablement, education, trust & safety, or a related function, including experience building or leading a team and owning a system rather than a program. - 4+ years managing teams in a high-volume environment serving enterprise customers. - Demonstrated experience in architecting knowledge to be serviceable at scale. You've built a knowledge system serving a large user and AI agent population, and you can speak to the architecture decisions and what they bought you. - A point of view on what enablement becomes when agents handle the first line and specialists only see the hard cases: how the competency bar moves, what training is for, and which parts of the traditional playbook stop applying. You're rebuilding the function for where support is going, not porting what worked before. - Track record of owning a consolidation or platform migration that retired fragmented surfaces and got an organization onto one system. - Experience launching, managing, and improving knowledge or training platforms, with measurable operational improvement to show for it. - Data-driven approach to measuring impact: comfortable defining success metrics, instrumenting ramp, quality, and resolution outcomes, and using what they show to decide where to invest. - Strong instructional design range, including the judgment to choose the right format for each learning need and to adapt content for different audiences, tenure levels, and learning preferences. - Experience working in fast release cycles and adapting content rapidly as products and processes evolve. - Deep familiarity with AI-assisted support workflows and what it takes for an agent and a specialist to handle complex technical customer issues with confidence. - Experience building content for AI systems as well as people, or a clear point of view on what changes when both are consuming the same knowledge base. - Strong cross-functional instincts, you know how to partner across Product, Engineering, AI, and GTM to get the right things built and adopted without needing to own the technology yourself. - Excellent communication skills and the presence to establish credibility for your team's work across the organization. - Bonus: experience supporting a legal, regulated, or otherwise high-stakes customer base. COMPENSATION $144,000 - $216,000 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. #LI-CG1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Honeycomb29 дн назад

Location: Remote - Canada What We’re Building Honeycomb is a service for the near and present future, defining observability and raising expectations of what developer tools can do! We’re working with well known companies like HelloFresh, Slack, LaunchDarkly, and Vanguard and more across a range of industries. This is an exciting time in our trajectory, we’ve closed Series D funding, scaled past the 200-person mark, and were named to Forbes’ America’s Best Startups of 2022 and 2023! If you want to see what we’ve been up to, please check out these blog posts and Honeycomb.io press releases . Who We Are We come for the impact, and stay for the culture! We’re a talented, opinionated, passionate, fiercely inclusive, and responsible group of bees. We have conviction and we strive to live our values every day. We want our people to do what they truly love amongst a team of highly talented (but humble) peers. How We Work We are a fully distributed company, which means we believe it is not where you sit, but how you deliver that matters most. We invest in our people and care about how you orient to our culture and processes. At the same time we imbue a lot of trust, autonomy, and accountability from Day 1. #LI-Remote Little more about the team: The team builds observability for AI in Honeycomb. We help customers see what their agents are doing, what those agents cost, and where errors happen. We also give them insight into individual conversations so they can debug them. We're bringing LLM and agent observability together, and we own both the data foundation and the product experiences built on top of it. You'll work in a small, cross-functional group of engineers with a dedicated product manager and designer, shipping features customers use in production. If you want to define how people understand and debug AI systems, this is the team for you. What you’ll do in the role: Deliver AI observability capabilities end to end, from ingestion to in-product visualizations. Contribute to the data model and infrastructure that let us observe agents and their ecosystems across the Honeycomb product. Build systems that analyze and surface AI-specific signals, such as cost, token usage, errors, and anomalies. Collaborate with product and design partners to make sure what we build is usable, intuitive, and unlocks meaningful user workflows. Share what you learn about exploring and understanding AI system behavior across conversations and workloads. Iterate through fast feedback loops and experimentation, and share both wins and failures. What you’ll bring to the role: 3+ years of software engineering experience. Experience shipping customer-facing features at a SaaS company, beyond internal tooling. Full-stack range, with proficiency in backend development (Go and/or Python) and frontend development (TypeScript and React). A track record of working with product managers and designers. Regular, hands-on use of AI tools in your day-to-day engineering work. Experience being on call. You'd join our rotation after about 90 days. A track record of navigating ambiguity in a fast-moving field where requirements shift and experimentation is a core part of the job. Bonus: Experience building LLM or agent-powered features in production. Bonus: Hands-on experience with observability tooling, such as OpenTelemetry. Base Salary based on level of experience $218,891 — $245,946 CAD What you'll get when you join the Hive: A stake in our success - generous equity with employee-friendly stock program It’s not about how strong of a negotiator you are - our pay is based on transparent levels relative to experience Time to recharge with unlimited PTO A distributed-first mindset and culture (really!) Home office, co-working, and internet stipend Full benefits coverage for employees, with additional coverage available for dependents Up to 16 weeks of paid parental leave, regardless of path to parenthood Annual development allowance And much more... Please note we cannot currently sponsor or support visa transfers at this time. Additionally, in compliance with applicable law, all persons hired will be required to verify identity and eligibility to work. Phishing and Recruitment Scam Warning: We take your security seriously. Please be aware that recruitment scams are increasingly common and scammers may create email addresses or websites to impersonate Honeycomb employees. To help protect you: All communications will come from an @honeycomb.io email address We occasionally work with external recruiting agencies. These partners will use legitimate business email addresses— never personal accounts like Gmail or Yahoo . Our recruiting process will never ask you to provide financial or sensitive personal information, including but not limited to: Social security or tax identification numbers Credit card numbers Bank account information Diversity & Accommodations: We're committed to building a diverse, inclusive, and equitable workplace—where people of all backgrounds, identities, experiences, and abilities are welcomed, valued, and supported. We recognize that there is no single path to success and embrace nontraditional career journeys and diverse perspectives as key to building stronger, more innovative teams. We strive to ensure an inclusive experience throughout every stage of our hiring process and are happy to provide reasonable accommodations as needed. If you require accommodations or accessible formats at any point during our hiring process, please let your recruiter know. As an equal opportunity employer our hiring process is designed to put you at ease and help you show your best work. If there’s anything we can do to improve your experience, we’re always open to feedback. Privacy Notice: If you apply for a job at Honeycomb and your application is unsuccessful (or you withdraw from the process or decline our offer), Honeycomb will retain your information after your application for a period of time in accordance with local laws. We retain this information for various reasons, including in case we face a legal challenge in respect of a recruitment decision, to consider you for other current or future jobs at Honeycomb, and to help us better understand, analyze and improve our recruitment processes. For more information regarding our privacy practices please see the Honeycomb Privacy Notice . If you do not want us to retain your information, or want us to update it, please contact privacy@honeycomb.io . Please note, however, that we may retain some information if required by law or as necessary to protect ourselves from legal claims.

Honeycomb29 дн назад

Location: Remote - United States What We’re Building Honeycomb is a service for the near and present future, defining observability and raising expectations of what developer tools can do! We’re working with well known companies like HelloFresh, Slack, LaunchDarkly, and Vanguard and more across a range of industries. This is an exciting time in our trajectory, we’ve closed Series D funding, scaled past the 200-person mark, and were named to Forbes’ America’s Best Startups of 2022 and 2023! If you want to see what we’ve been up to, please check out these blog posts and Honeycomb.io press releases . Who We Are We come for the impact, and stay for the culture! We’re a talented, opinionated, passionate, fiercely inclusive, and responsible group of bees. We have conviction and we strive to live our values every day. We want our people to do what they truly love amongst a team of highly talented (but humble) peers. How We Work We are a fully distributed company, which means we believe it is not where you sit, but how you deliver that matters most. We invest in our people and care about how you orient to our culture and processes. At the same time we imbue a lot of trust, autonomy, and accountability from Day 1. #LI-Remote Little more about the team: The team builds observability for AI in Honeycomb. We help customers see what their agents are doing, what those agents cost, and where errors happen. We also give them insight into individual conversations so they can debug them. We're bringing LLM and agent observability together, and we own both the data foundation and the product experiences built on top of it. You'll work in a small, cross-functional group of engineers with a dedicated product manager and designer, shipping features customers use in production. If you want to define how people understand and debug AI systems, this is the team for you. What you’ll do in the role: Deliver AI observability capabilities end to end, from ingestion to in-product visualizations. Contribute to the data model and infrastructure that let us observe agents and their ecosystems across the Honeycomb product. Build systems that analyze and surface AI-specific signals, such as cost, token usage, errors, and anomalies. Collaborate with product and design partners to make sure what we build is usable, intuitive, and unlocks meaningful user workflows. Share what you learn about exploring and understanding AI system behavior across conversations and workloads. Iterate through fast feedback loops and experimentation, and share both wins and failures. What you’ll bring to the role: 3+ years of software engineering experience. Experience shipping customer-facing features at a SaaS company, beyond internal tooling. Full-stack range, with proficiency in backend development (Go and/or Python) and frontend development (TypeScript and React). A track record of working with product managers and designers. Regular, hands-on use of AI tools in your day-to-day engineering work. Experience being on call. You'd join our rotation after about 90 days. A track record of navigating ambiguity in a fast-moving field where requirements shift and experimentation is a core part of the job. Bonus: Experience building LLM or agent-powered features in production. Bonus: Hands-on experience with observability tooling, such as OpenTelemetry. Base Salary based on level of experience $160,000 — $180,000 USD What you'll get when you join the Hive: A stake in our success - generous equity with employee-friendly stock program It’s not about how strong of a negotiator you are - our pay is based on transparent levels relative to experience Time to recharge with unlimited PTO A distributed-first mindset and culture (really!) Home office, co-working, and internet stipend Full benefits coverage for employees, with additional coverage available for dependents Up to 16 weeks of paid parental leave, regardless of path to parenthood Annual development allowance And much more... Please note we cannot currently sponsor or support visa transfers at this time. Additionally, in compliance with applicable law, all persons hired will be required to verify identity and eligibility to work. Phishing and Recruitment Scam Warning: We take your security seriously. Please be aware that recruitment scams are increasingly common and scammers may create email addresses or websites to impersonate Honeycomb employees. To help protect you: All communications will come from an @honeycomb.io email address We occasionally work with external recruiting agencies. These partners will use legitimate business email addresses— never personal accounts like Gmail or Yahoo . Our recruiting process will never ask you to provide financial or sensitive personal information, including but not limited to: Social security or tax identification numbers Credit card numbers Bank account information Diversity & Accommodations: We're committed to building a diverse, inclusive, and equitable workplace—where people of all backgrounds, identities, experiences, and abilities are welcomed, valued, and supported. We recognize that there is no single path to success and embrace nontraditional career journeys and diverse perspectives as key to building stronger, more innovative teams. We strive to ensure an inclusive experience throughout every stage of our hiring process and are happy to provide reasonable accommodations as needed. If you require accommodations or accessible formats at any point during our hiring process, please let your recruiter know. As an equal opportunity employer our hiring process is designed to put you at ease and help you show your best work. If there’s anything we can do to improve your experience, we’re always open to feedback. Privacy Notice: If you apply for a job at Honeycomb and your application is unsuccessful (or you withdraw from the process or decline our offer), Honeycomb will retain your information after your application for a period of time in accordance with local laws. We retain this information for various reasons, including in case we face a legal challenge in respect of a recruitment decision, to consider you for other current or future jobs at Honeycomb, and to help us better understand, analyze and improve our recruitment processes. For more information regarding our privacy practices please see the Honeycomb Privacy Notice . If you do not want us to retain your information, or want us to update it, please contact privacy@honeycomb.io . Please note, however, that we may retain some information if required by law or as necessary to protect ourselves from legal claims.

Honeycomb29 дн назад

Location: Remote - Canada What We’re Building Honeycomb is a service for the near and present future, defining observability and raising expectations of what developer tools can do! We’re working with well known companies like HelloFresh, Slack, LaunchDarkly, and Vanguard and more across a range of industries. This is an exciting time in our trajectory, we’ve closed Series D funding, scaled past the 200-person mark, and were named to Forbes’ America’s Best Startups of 2022 and 2023! If you want to see what we’ve been up to, please check out these blog posts and Honeycomb.io press releases . Who We Are We come for the impact, and stay for the culture! We’re a talented, opinionated, passionate, fiercely inclusive, and responsible group of bees. We have conviction and we strive to live our values every day. We want our people to do what they truly love amongst a team of highly talented (but humble) peers. How We Work We are a fully distributed company, which means we believe it is not where you sit, but how you deliver that matters most. We invest in our people and care about how you orient to our culture and processes. At the same time we imbue a lot of trust, autonomy, and accountability from Day 1. #LI-Remote Little more about the team: The team builds observability for AI in Honeycomb. We help customers see what their agents are doing, what those agents cost, and where errors happen. We also give them insight into individual conversations so they can debug them. We're bringing LLM and agent observability together, and we own both the data foundation and the product experiences built on top of it. You'll work in a small, cross-functional group of engineers with a dedicated product manager and designer, shipping features customers use in production. If you want to define how people understand and debug AI systems, this is the team for you. What you’ll do in the role: Own end-to-end development of AI observability capabilities, from ingestion to in-product visualizations. Architect and evolve the data model and infrastructure that let us observe agents and their ecosystems across the Honeycomb product. Build systems that analyze and surface AI-specific signals, such as cost, token usage, errors, and anomalies. Collaborate with product and design partners to make sure what we build is usable, intuitive, and unlocks meaningful user workflows. Teach best practices for exploring and understanding AI system behavior across conversations and workloads. Iterate through fast feedback loops and experimentation, and share both wins and failures. What you’ll bring to the role: Significant software engineering experience, with a record of shipping and owning features end to end. Experience shipping customer-facing features at a SaaS company, beyond internal tooling. Full-stack range, with proficiency in backend development (Go and/or Python) and frontend development (TypeScript and React). A track record of working closely with product managers and designers. Regular, hands-on use of AI tools in your day-to-day engineering work. Experience being on call. You'd join our rotation after about 90 days. A track record of navigating ambiguity in a fast-moving field where requirements shift and experimentation is a core part of the job. Bonus: Experience building LLM or agent-powered features in production. Bonus: Hands-on experience with observability tooling, such as OpenTelemetry. Base Salary based on level of experience $250,000 — $280,000 CAD What you'll get when you join the Hive: A stake in our success - generous equity with employee-friendly stock program It’s not about how strong of a negotiator you are - our pay is based on transparent levels relative to experience Time to recharge with unlimited PTO A distributed-first mindset and culture (really!) Home office, co-working, and internet stipend Full benefits coverage for employees, with additional coverage available for dependents Up to 16 weeks of paid parental leave, regardless of path to parenthood Annual development allowance And much more... Please note we cannot currently sponsor or support visa transfers at this time. Additionally, in compliance with applicable law, all persons hired will be required to verify identity and eligibility to work. Phishing and Recruitment Scam Warning: We take your security seriously. Please be aware that recruitment scams are increasingly common and scammers may create email addresses or websites to impersonate Honeycomb employees. To help protect you: All communications will come from an @honeycomb.io email address We occasionally work with external recruiting agencies. These partners will use legitimate business email addresses— never personal accounts like Gmail or Yahoo . Our recruiting process will never ask you to provide financial or sensitive personal information, including but not limited to: Social security or tax identification numbers Credit card numbers Bank account information Diversity & Accommodations: We're committed to building a diverse, inclusive, and equitable workplace—where people of all backgrounds, identities, experiences, and abilities are welcomed, valued, and supported. We recognize that there is no single path to success and embrace nontraditional career journeys and diverse perspectives as key to building stronger, more innovative teams. We strive to ensure an inclusive experience throughout every stage of our hiring process and are happy to provide reasonable accommodations as needed. If you require accommodations or accessible formats at any point during our hiring process, please let your recruiter know. As an equal opportunity employer our hiring process is designed to put you at ease and help you show your best work. If there’s anything we can do to improve your experience, we’re always open to feedback. Privacy Notice: If you apply for a job at Honeycomb and your application is unsuccessful (or you withdraw from the process or decline our offer), Honeycomb will retain your information after your application for a period of time in accordance with local laws. We retain this information for various reasons, including in case we face a legal challenge in respect of a recruitment decision, to consider you for other current or future jobs at Honeycomb, and to help us better understand, analyze and improve our recruitment processes. For more information regarding our privacy practices please see the Honeycomb Privacy Notice . If you do not want us to retain your information, or want us to update it, please contact privacy@honeycomb.io . Please note, however, that we may retain some information if required by law or as necessary to protect ourselves from legal claims.

Honeycomb29 дн назад

Inbound Sales Development Representative - Boston

Location: Remote - United States What We’re Building Honeycomb is a service for the near and present future, defining observability and raising expectations of what developer tools can do! We’re working with well known companies like HelloFresh, Slack, LaunchDarkly, and Vanguard and more across a range of industries. This is an exciting time in our trajectory, we’ve closed Series D funding, scaled past the 200-person mark, and were named to Forbes’ America’s Best Startups of 2022 and 2023! If you want to see what we’ve been up to, please check out these blog posts and Honeycomb.io press releases . Who We Are We come for the impact, and stay for the culture! We’re a talented, opinionated, passionate, fiercely inclusive, and responsible group of bees. We have conviction and we strive to live our values every day. We want our people to do what they truly love amongst a team of highly talented (but humble) peers. How We Work We are a fully distributed company, which means we believe it is not where you sit, but how you deliver that matters most. We invest in our people and care about how you orient to our culture and processes. At the same time we imbue a lot of trust, autonomy, and accountability from Day 1. #LI-Remote Little more about the team: The team builds observability for AI in Honeycomb. We help customers see what their agents are doing, what those agents cost, and where errors happen. We also give them insight into individual conversations so they can debug them. We're bringing LLM and agent observability together, and we own both the data foundation and the product experiences built on top of it. You'll work in a small, cross-functional group of engineers with a dedicated product manager and designer, shipping features customers use in production. If you want to define how people understand and debug AI systems, this is the team for you. What you’ll do in the role: Own end-to-end development of AI observability capabilities, from ingestion to in-product visualizations. Architect and evolve the data model and infrastructure that let us observe agents and their ecosystems across the Honeycomb product. Build systems that analyze and surface AI-specific signals, such as cost, token usage, errors, and anomalies. Collaborate with product and design partners to make sure what we build is usable, intuitive, and unlocks meaningful user workflows. Teach best practices for exploring and understanding AI system behavior across conversations and workloads. Iterate through fast feedback loops and experimentation, and share both wins and failures. What you’ll bring to the role: Significant software engineering experience, with a record of shipping and owning features end to end. Experience shipping customer-facing features at a SaaS company, beyond internal tooling. Full-stack range, with proficiency in backend development (Go and/or Python) and frontend development (TypeScript and React). A track record of working closely with product managers and designers. Regular, hands-on use of AI tools in your day-to-day engineering work. Experience being on call. You'd join our rotation after about 90 days. A track record of navigating ambiguity in a fast-moving field where requirements shift and experimentation is a core part of the job. Bonus: Experience building LLM or agent-powered features in production. Bonus: Hands-on experience with observability tooling, such as OpenTelemetry. Base Salary based on level of experience $183,340 — $206,000 USD What you'll get when you join the Hive: A stake in our success - generous equity with employee-friendly stock program It’s not about how strong of a negotiator you are - our pay is based on transparent levels relative to experience Time to recharge with unlimited PTO A distributed-first mindset and culture (really!) Home office, co-working, and internet stipend Full benefits coverage for employees, with additional coverage available for dependents Up to 16 weeks of paid parental leave, regardless of path to parenthood Annual development allowance And much more... Please note we cannot currently sponsor or support visa transfers at this time. Additionally, in compliance with applicable law, all persons hired will be required to verify identity and eligibility to work. Phishing and Recruitment Scam Warning: We take your security seriously. Please be aware that recruitment scams are increasingly common and scammers may create email addresses or websites to impersonate Honeycomb employees. To help protect you: All communications will come from an @honeycomb.io email address We occasionally work with external recruiting agencies. These partners will use legitimate business email addresses— never personal accounts like Gmail or Yahoo . Our recruiting process will never ask you to provide financial or sensitive personal information, including but not limited to: Social security or tax identification numbers Credit card numbers Bank account information Diversity & Accommodations: We're committed to building a diverse, inclusive, and equitable workplace—where people of all backgrounds, identities, experiences, and abilities are welcomed, valued, and supported. We recognize that there is no single path to success and embrace nontraditional career journeys and diverse perspectives as key to building stronger, more innovative teams. We strive to ensure an inclusive experience throughout every stage of our hiring process and are happy to provide reasonable accommodations as needed. If you require accommodations or accessible formats at any point during our hiring process, please let your recruiter know. As an equal opportunity employer our hiring process is designed to put you at ease and help you show your best work. If there’s anything we can do to improve your experience, we’re always open to feedback. Privacy Notice: If you apply for a job at Honeycomb and your application is unsuccessful (or you withdraw from the process or decline our offer), Honeycomb will retain your information after your application for a period of time in accordance with local laws. We retain this information for various reasons, including in case we face a legal challenge in respect of a recruitment decision, to consider you for other current or future jobs at Honeycomb, and to help us better understand, analyze and improve our recruitment processes. For more information regarding our privacy practices please see the Honeycomb Privacy Notice . If you do not want us to retain your information, or want us to update it, please contact privacy@honeycomb.io . Please note, however, that we may retain some information if required by law or as necessary to protect ourselves from legal claims.

Harvey29 дн назад

Workplace Specialist

Location: Toronto Workplace: OnSite WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW As Workplace Specialist, you are Harvey's Workplace team in Toronto. You run the office end to end: the space, the service partners behind it, the experience employees and clients have in it, and the front door. You are the person everyone in the office turns to, and the one who actually knows. Your manager sits in another office and time zone. You take priorities and standards from them and from the global Workplace team, then run the office with real independence. You escalate the calls that need a manager: contract terms, spend above your authority, and anything with cost, risk, or precedent attached. Our Toronto office is a serviced suite at iQ Offices, 302 Bay Street. Much of your building work runs through the iQ team rather than a traditional landlord, and as Toronto grows you will help shape what the next space needs. This is a fully in-office role, Monday through Friday, 9:00am–5:00pm, with flexibility for early setups, events, and the occasional after-hours matter. WHAT YOU'LL DO The Office Standard - Hold the office to the standard the Workplace team sets for appearance, cleanliness, and readiness, and flag what is slipping before it becomes visible - Walk the office daily and find maintenance needs, safety concerns, and service gaps before anyone reports them - Be the first person anyone asks about how the space works Building & Facilities - Hold the day-to-day relationship with iQ Offices and building management: work orders, approvals, access, and follow-through - Manage facilities issues (HVAC, plumbing, lighting, doors, appliances, repairs), managing iQ through resolution, and confirm the fix held - Coordinate deliveries, freight, and loading dock bookings within the building's rules - Escalate any building matter that carries cost, risk, or precedent to your manager Vendors & Food and Beverage - Keep the Toronto vendor book current: contacts, scopes, performance notes, COIs, and renewal dates - Hold vendors to scope, address service issues directly, and escalate patterns rather than incidents - Run the pantry, snack, coffee, and catered lunch program; track consumption and cost per head - Source local Toronto vendors for catering, supplies, and services as the office grows Front of House & Guests - Own the front door: greet employees, candidates, and clients, and manage the visitor experience end to end - Issue and revoke employee badges and keep building access accurate, to the policy set by Workplace and Security - Receive and route mail, packages, and couriers - Arrange cover through iQ reception or a backup plan agreed with your manager when you are out Employee Experience & Events - Plan and run Toronto onsite events, celebrations, team lunches, and all-hands viewing logistics, end to end - Deliver client and executive visits: room sets, catering, AV readiness, and the details that make Harvey look sharp - Host travelling employees and leaders from other offices, so desks, access, and logistics are ready before they land Onboarding - Run the Toronto new hire Day 1: desk setup, badges, building access, welcome, office tour, and swag - Partner with People Ops and IT so every new hire is set up before they arrive Space, Supplies & Budget - Keep the seating chart accurate and execute moves, adds, and changes - Track desk utilization and flag capacity pressure early, with the data behind it - Own office supply inventory and ordering, including first aid and emergency supplies - Submit new and recurring POs via our Procurement platform - Track Toronto Workplace spend against budget (invoices, POs, cost per head), and partner with Finance on payment Safety & Compliance - Execute the emergency preparedness program: maintain the floor warden roster, join building drills, and coordinate with building life safety - Serve as first responder during a workplace incident and report it through the process your manager owns - Keep the office aligned with Ontario workplace health and safety requirements (for example, required postings and first aid kits), with support from People Ops Systems & the Global Team - Administer Workplace tools day to day (ticketing, seating, visitor management) and keep records accurate - Own the Toronto Workplace request queue: resolve what you can, route what belongs to IT, People Ops, or Security - Document how Toronto runs in SOPs and the site playbook, so anyone could pick it up cold - Adopt global Workplace programs and standards locally, and tell the team where Toronto needs something different - Partner with IT on conference room and AV readiness WHAT YOU HAVE - 4+ years in workplace operations, office management, facilities, or hospitality, including time as the primary or only Workplace person on site - Breadth across facilities, vendors, front of house, events, and onboarding. You are as comfortable with a work order as with a client visit - Direct experience managing vendors and holding them to scope, including the difficult conversation when service slips - A foundational understanding of office systems (HVAC, plumbing, electrical, lighting), enough to describe a problem accurately and judge whether the fix held - Experience with event and hospitality execution: catering, setups, and the details guests notice - Comfort tracking spend, invoices, and POs, and turning day-to-day data into a clear picture for your manager - Strong judgment working with a remote manager: you know what to handle, what to flag, and how to keep them informed without being chased - Clear, professional written and verbal communication - A self-starter who builds process where none exists yet - Calm and resourceful when things go sideways, with no one down the hall to hand it to - Genuine care for how the space feels to the people in it - Knowledge of the Toronto vendor market and Ontario workplace requirements is a strong plus - Experience in a serviced or flex office environment, or supporting an office opening or expansion, is a strong plus WHAT WE OFFER - Be part of building something special as a founding member of our Toronto team - Structured hybrid working arrangement: 3 days in our Toronto office, 2 days working from home COMPENSATION CAD $76,000 - 114,000 DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. We are an AI company and we use AI to improve all of our processes, including in the recruitment process. Whilst we do use AI to help improve efficiency in our recruitment process, we do not rely on AI to make any automated decisions and ensure that a human reviews AI output. #LI-ML3 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

LaunchDarkly29 дн назад

Location: Hybrid - Boston About the Job: LaunchDarkly is looking for an experienced, self-directed Sales Development Representative to own the first stage of engagement across North America. You will manage and qualify inbound leads, event MQLs, and accounts showing meaningful engagement through our account-based programs. This is not a purely reactive lead-response role. You will combine fast, consultative follow-up with thoughtful, proactive outreach to turn customer interest and buying signals into qualified meetings and pipeline. Responsibilities: Act as the first point of contact for prospective customers across North America, creating a fast, thoughtful, and credible first impression. Respond rapidly to high-intent inbound inquiries, including demo requests, pricing requests, trials, contact forms, and other hand-raisers. Own follow-up for event leads, adapting outreach based on the person, account, and engagement history. Research and proactively engage targeted accounts that show meaningful engagement and buying intent. Convert qualified interest into sales-ready meetings and opportunities for Account Executives. Execute coordinated outreach across phone, email, LinkedIn, and other approved channels. Maintain complete, accurate, and timely activity, qualification notes, and account context in Salesforce. Partner closely with North American Account Executives, Marketing, Revenue Operations, and the global SDR organization to improve lead quality, routing, messaging, and conversion. Share patterns and feedback from prospects so the broader team can improve campaigns, events, content, and the customer journey. Qualifications: At least 1 year of successful SDR or BDR experience in B2B SaaS or a similar environment. A demonstrated record of setting goals, taking ownership, and delivering measurable results. Experience communicating with customers, prospects, or other external audiences. Strong judgment and the ability to operate independently. Excellent written and verbal communication skills in English, with the confidence to engage senior and technical stakeholders. Pay: Target pay ranges based on Geographic Zones* for Level 3: Zone 1: San Francisco/Bay Area or NYC Metropolitan Area, Boston, Seattle - $86,700 - $119,240 ** Zone 2: Irvine, LA, Monterey, Santa Barbara, Santa Rosa, Austin, Portland, Philadelphia, Chicago - $78,100 - $107,360 ** Zone 3: All other US locations - $73,700 - $101,310* * LaunchDarkly operates from a place of high trust and transparency; we are happy to state the pay range for our open roles to best align with your needs. Exact compensation may vary based on skills, experience, and location. *Within the United States, our geographic pay zones are defined by counties surrounding major metropolitan areas. **Restricted Stock Units (RSUs), health, vision, and dental insurance, and mental health benefits in addition to salary. About LaunchDarkly: Modern software delivery was supposed to be the foundation for a thriving digital business but reality has proven otherwise. Slow, inefficient development cycles, costly outages, and fragmented customer experiences are preventing developers from building their best software. The LaunchDarkly platform helps developers innovate on new features faster while protecting them with a safety valve to instantly rewind when things go wrong. Developers can target product experiences to any customer segment and maximize the business impact of every feature. And by gradually rolling out new application components, they escape nightmare "big-bang" technology migrations. The LaunchDarkly platform was built to guide engineers to the next frontier of DevOps by: Improving the velocity and stability of software releases, without the fear of end customer outages Delivering targeted experiences by easily personalizing features to customer cohorts Maximizing the business impact of every feature through the ability to experiment and optimize Coordinating the release and optimization of software to provide consistent experiences across mobile platforms and device types Improving the effectiveness and productivity of engineering teams, by providing insights into engineering cadence and stability At LaunchDarkly, we believe in the power of teams. We're building a team that is humble, open, collaborative, respectful and kind. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status. LD invites any applicant to review our written Affirmative Action Plan. To do so, contact People Ops at hr@launchdarkly.com . Do you need a disability accommodation? Fill out this accommodations request form and someone from our People Operations team will contact you for assistance. Your safety matters to us. To protect yourself from potential scams, LaunchDarkly recruiters will only contact you from @LaunchDarkly .com email addresses or via LinkedIn from "Verified Recruiter" accounts. Be cautious of emails from other domains. Legitimate LaunchDarkly recruiters will never ask for money, fees, or banking information before making a job offer. LaunchDarkly will never make a job offer without conducting a formal interview process. Our interview process does not involve asking detailed questions by email. If you are ever unsure about a communication that you receive, don't click any links—visit Careers | LaunchDarkly directly for confirmed job openings and links to apply. Please notify us of any fraudulent representation by sending an email to careers@launchdarkly.com .

Anthropic29 дн назад

Applied AI Engineer, Startups (Physical AI)

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. About the role As an Applied AI Engineer on the Startups team at Anthropic, you will be a trusted technical advisor to the top AI-native startups building in the physical world, across robotics, semiconductors, aerospace, manufacturing, and civil infrastructure, as they grow from early product to scale. Some of these companies build the hardware itself and want Claude woven into how they design, test, and operate it, and others build the software that engineers everywhere use to design, simulate, test, and scale, and this role works with both. You'll lead deep technical engagements, partnering directly with startup software and hardware engineering teams to help them build their products on Claude and run their own engineering with it, advising on implementation and agent design as they build what is newly possible with AI in the physical world. You will bridge the gap between what Claude can do and what it takes to build real things, working alongside some of the strongest teams in the field on problems that matter and helping mechanical, electrical, and process engineers get the kind of step change that software engineering has had from agentic coding with tools like Claude Code. Working closely with Applied AI Architects, Account Executives, and Anthropic's Product, Engineering, and Research teams, you'll help startups build at the edge of what is possible with Claude. You'll leverage your AI engineering expertise and your engineering domain knowledge to develop custom evaluation frameworks, design scalable architectures, and create the technical resources that enable physical AI startups to succeed with Claude. Responsibilities Serve as a deep technical advisor to high-potential startups building in the physical world, whether Claude sits inside the product they sell or inside the way they design, test, and run their own hardware, working alongside them to push the boundaries of AI in engineering, manufacturing, operations, and more Work hands-on with startup software and hardware teams through pair programming and architecture reviews that accelerate their development, and understand their engineering workflows end to end, from design and simulation through test, production, and operations, so that your guidance fits how real hardware gets built Develop prototypes and technical documentation, including evaluation suites, benchmarks grounded in real engineering tasks, AI engineering techniques, and architecture diagrams, that enable startups to build, operate, and scale with Claude Create reference implementations and sample code that many companies can adopt without starting from scratch, for example integrating Claude with CAD, simulation, design tools, or industrial automation Collaborate closely with Applied AI Architects to maintain context and continuity across customer engagements Identify patterns across engagements, including what is hard about applying AI to physical systems such as reading drawings, 3D geometry, board layout and routing, GD&T, latency and on-premise constraints, and physical safety, then build repeatable evaluations and solutions and contribute insights back to Product, Engineering, Research, and the broader Applied AI team Create technical content for startup audiences including documentation, tutorials, and sample code Foster community engagement through hackathons, webinars, technical office hours, and startup-focused events Travel to customer sites for workshops, implementation guidance, and relationship building You may be a good fit if you have Deep engineering experience in a physical discipline such as mechanical, electrical, aerospace, robotics, semiconductor, manufacturing, or civil engineering, gained by designing, building, or operating real hardware, along with strong opinions of your own about how to bridge the gap between what AI can do today and how physical things get built 4+ years of technical experience as a software engineer, ML or research engineer, robotics or controls engineer, hardware or systems engineer, or technical founder, with either production experience building LLM-powered applications, including prompting, context engineering, agent architectures, evaluation frameworks, and deployment at scale, or a track record of successfully applying AI to real engineering work in design, simulation, test, or production Experience with startups or high-growth companies and a love of working with founders and small teams that move quickly Strong technical communication skills, with the ability to translate complex AI concepts into architectural decisions and actionable implementation plans for both software and hardware engineering audiences and to run technical workshops, hackathons, or developer-focused events A collaborative approach to working across teams, the range of a generalist who can context-switch from robots to chips to rockets to factories and get up to speed on a new domain quickly, and a passion for making powerful technology safe and beneficial 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: $280,000 — $320,000 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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.

Anthropic29 дн назад

Applied AI Engineer, Startups (Life Sciences)

Location: San Francisco, CA | New York City, NY 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. About the role As an Applied AI Engineer on the Startups team at Anthropic, you will be a trusted technical advisor to the top AI-native life sciences and biotech startups as they grow from early product to scale. Some of these companies build products on Claude that they sell to the rest of the industry, and others do the science themselves and want Claude woven into how their own research runs, and this role works with both. You'll lead deep technical engagements, partnering directly with startup engineering and scientific teams to help them build their products on Claude and run their own research with it, advising on implementation and agent design as they build what is newly possible with AI in the life sciences. You will bridge the gap between what Claude can do and what the life sciences need, working alongside some of the strongest teams in the field on problems that matter and pushing the boundaries of AI in science as you go. Working closely with Applied AI Architects, Account Executives, and Anthropic's Product, Engineering, and Research teams, you'll help startups build at the edge of what is possible with Claude. You'll leverage your AI engineering expertise and your scientific domain knowledge to develop custom evaluation frameworks, design scalable architectures, and create the technical resources that enable life sciences startups to succeed with Claude. Responsibilities Serve as a deep technical advisor to high-potential life sciences and biotech startups, whether Claude sits inside the product they sell or inside the way they make discoveries, working alongside them to build innovative use cases that push the boundaries of AI in scientific research and development Work hands-on with startup engineering teams and their scientists through pair programming and architecture reviews that accelerate their development, and understand their scientific workflows end to end so that your guidance fits into real research pipelines Develop prototypes and technical documentation, including evaluation suites, scientifically grounded benchmarks, AI engineering techniques, and architecture diagrams, that enable startups to build, operate, and scale with Claude Create reference implementations and sample code that many companies can adopt without starting from scratch, such as example MCP servers for domain-specific data sources like genomics platforms, literature databases, and experimental repositories, along with agent skills for common scientific workflows Collaborate closely with Applied AI Architects to maintain context and continuity across customer engagements Identify patterns across engagements, including what is hard about deploying AI in the life sciences such as heterogeneous data, auditability requirements, and the gap between a working prototype and a system that scientists trust, and contribute insights back to Product, Engineering, Research, and the broader Applied AI team, including feedback on the model capabilities and product features that would most accelerate discovery work Create technical content for startup audiences including documentation, tutorials, and sample code Represent Anthropic across the life sciences startup ecosystem and foster community engagement through hackathons, webinars, technical office hours, in-person founder events, and research show and tells Travel to customer sites for workshops, implementation guidance, and relationship building You may be a good fit if you have Deep experience in the life sciences or biotech, gained through research or industry work in areas such as genomics, drug discovery, molecular design, lab automation, or clinical development, along with strong opinions of your own about how to bridge the gap between what AI can do today and what the life sciences need 4+ years of technical experience as a software engineer, ML or research engineer, computational biologist, research scientist, or technical founder, with either production experience building LLM-powered applications, including prompting, context engineering, agent architectures, evaluation frameworks, and deployment at scale, or a track record of successfully applying AI to real scientific work in the lab or in research Experience with startups or high-growth companies and a love of working with founders and small teams that move quickly Strong technical communication skills, with the ability to translate complex AI concepts into architectural decisions and actionable implementation plans for both engineering and scientific audiences and to run technical workshops, hackathons, or developer-focused events A collaborative approach to working across teams, the ability to context-switch across scientific domains and use cases, and a passion for making powerful technology safe and beneficial 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: $280,000 — $320,000 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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.

Stepful29 дн назад

Full-Time Clinical Nursing Faculty - PN & RN Programs (Stepful College)

Location: St. Louis, Missouri Workplace: OnSite About Stepful: Stepful is a workforce platform redefining how America's largest health systems build, train, and retain their talent. Since our founding in 2021, Stepful’s trained over 32,000 practice-ready healthcare workers. Layering onto our successful direct-to-consumer training, Stepful partners with leading healthcare institutions to address the growing national shortage of healthcare workers. We’re improving access to quality healthcare for everyone, everywhere, and improving access to healthcare career ladders for those who need them most. Our students form the talent pipelines for major employers such as NY-Presbyterian, Mt. Sinai, HCA, Providence, CVS, and Walgreens. We have partnerships with half of the top 10 health systems in the US and are in process with many more. Stepful is backed by Y Combinator, Reach Capital, and AlleyCorp, with a recent $55M Series C led by Oak HC/FT https://www.stepful.com/post/stepful-announces-55m-series-c-to-scale-its-ai-powered-training-platform-across-the-healthcare-workforce. We were named the #1 EdTech company in the U.S. by TIME for 2025 https://www.stepful.com/post/stepful-named-1-edtech-company-in-us-top-10-globally-times-2025-list. Our values: We credit much of our success to our exceptional team. We’re looking for mission-driven builders who thrive in fast-paced, ambiguous environments, and embody our four core values: - Care first: We do whatever it takes for our students to succeed. - Learn quickly: We test, learn with data, and iterate. - Build together: We win when we rely on each other. - Own it: We show up, take initiative, and show pride. The opportunity: Stepful College https://stepfulcollege.edu/about/, an ABHES-accredited institution, is seeking an experienced, passionate nursing educator to join our faculty as a Clinical Instructor with our Practical Nursing (PN) and Registered Nursing (RN) programs. This is a permanent, full-time position — an exceptional opportunity for experienced nursing educators, including those currently teaching in adjunct roles, who are ready to bring their expertise to a full-time academic home. As a Full-Time Clinical Faculty member, you’ll bring your nursing expertise directly to the bedside — supervising and guiding practical nursing students through hands-on clinical rotations at our partner healthcare facilities throughout the St. Louis area. What you’ll do: - Deliver clinical instruction — supervise students during clinical rotations at partner healthcare facilities throughout the St. Louis area - Support student success — monitor student progress, provide timely and constructive feedback, and develop remediation plans for students who need additional support - Contribute to curriculum — collaborate with program leadership and fellow faculty to review, refine, and continuously improve PN and RN program curriculum - Maintain compliance — uphold Missouri State Board of Nursing standards and support program accreditation requirements through accurate documentation and consistent adherence to program policies - Engage the community — build and maintain positive relationships with clinical partner facilities, preceptors, and other external stakeholders - Participate in faculty life — attend faculty meetings, contribute to program evaluation, and support the broader academic mission of Stepful College What you’ll bring: - Active, unencumbered Missouri RN license (or compact state license eligible for Missouri endorsement) - Master's degree in nursing — required - 2+ years of experience as clinical faculty in an RN nursing education program - 2+ years of professional experience as a Registered Nurse - Demonstrated ability to teach across modalities — didactic, skills lab, and clinical settings - Familiarity with Missouri State Board of Nursing requirements and nursing program accreditation standards - Strong interpersonal and communication skills — ability to connect with diverse adult learners and collaborate effectively with faculty, staff, and clinical partners - Availability Monday through Friday, with occasional weekend availability as program schedules require Bonus points if: - You have specialty clinical experience in medical-surgical, OB, pediatrics, or maternal health nursing Interview Process: - Intro Call with Talent Team - Virtual Interview with Hiring Manager - Case Study Assignment - Final Onsite Panel Interviews Benefits and Compensation: - Subsidized Medical, Dental, and Vision insurance plan options - 401(k) - FSA, HSA and commuter benefits - Learning stipend - Open vacation policy, including: - Guidance of 15 days PTO annually - 10 public holidays observed for 2026 The target base salary range for this opportunity is $80,000 - $95,000, and is part of a competitive total rewards package including equity and benefits. Individual pay may vary from the target range and is determined by a number of factors including experience, internal pay equity and other relevant business considerations. Please note we do not have a bonus structure at this time so all cash compensation will come in the form of base salary. The total compensation package will also include our benefits package and an equity (ISOs) package. Stepful is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex, marital status, ancestry, disability, genetic information, veteran status, gender identity or expression, sexual orientation, pregnancy, or other applicable legally protected characteristic. -- In light of recent hiring scams, if you're selected to move onto the next phase of our hiring process, a member of our Talent Acquisition team will reach out to you directly from an @stepful.com email address to guide you through our interview process.

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Stepful29 дн назад

Travel Clinical Educator - Sterile Processing (CRCST)

ОфисSt. Louis, Missouri

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Honeycomb29 дн назад

Honeycomb29 дн назад

Honeycomb29 дн назад

Location: Remote - Canada What We’re Building Honeycomb is a service for the near and present future, defining observability and raising expectations of what developer tools can do! We’re working with well known companies like HelloFresh, Slack, LaunchDarkly, and Vanguard and more across a range of industries. This is an exciting time in our trajectory, we’ve closed Series D funding, scaled past the 200-person mark, and were named to Forbes’ America’s Best Startups of 2022 and 2023! If you want to see what we’ve been up to, please check out these blog posts and Honeycomb.io press releases . Who We Are We come for the impact, and stay for the culture! We’re a talented, opinionated, passionate, fiercely inclusive, and responsible group of bees. We have conviction and we strive to live our values every day. We want our people to do what they truly love amongst a team of highly talented (but humble) peers. How We Work We are a fully distributed company, which means we believe it is not where you sit, but how you deliver that matters most. We invest in our people and care about how you orient to our culture and processes. At the same time we imbue a lot of trust, autonomy, and accountability from Day 1. #LI-Remote Little more about the team: The team builds observability for AI in Honeycomb. We help customers see what their agents are doing, what those agents cost, and where errors happen. We also give them insight into individual conversations so they can debug them. We're bringing LLM and agent observability together, and we own both the data foundation and the product experiences built on top of it. You'll work in a small, cross-functional group of engineers with a dedicated product manager and designer, shipping features customers use in production. If you want to define how people understand and debug AI systems, this is the team for you. What you’ll do in the role: Own end-to-end development of AI observability capabilities, from ingestion to in-product visualizations. Architect and evolve the data model and infrastructure that let us observe agents and their ecosystems across the Honeycomb product. Build systems that analyze and surface AI-specific signals, such as cost, token usage, errors, and anomalies. Collaborate with product and design partners to make sure what we build is usable, intuitive, and unlocks meaningful user workflows. Teach best practices for exploring and understanding AI system behavior across conversations and workloads. Iterate through fast feedback loops and experimentation, and share both wins and failures. What you’ll bring to the role: Significant software engineering experience, with a record of shipping and owning features end to end. Experience shipping customer-facing features at a SaaS company, beyond internal tooling. Full-stack range, with proficiency in backend development (Go and/or Python) and frontend development (TypeScript and React). A track record of working closely with product managers and designers. Regular, hands-on use of AI tools in your day-to-day engineering work. Experience being on call. You'd join our rotation after about 90 days. A track record of navigating ambiguity in a fast-moving field where requirements shift and experimentation is a core part of the job. Bonus: Experience building LLM or agent-powered features in production. Bonus: Hands-on experience with observability tooling, such as OpenTelemetry. Base Salary based on level of experience $250,000 — $280,000 CAD What you'll get when you join the Hive: A stake in our success - generous equity with employee-friendly stock program It’s not about how strong of a negotiator you are - our pay is based on transparent levels relative to experience Time to recharge with unlimited PTO A distributed-first mindset and culture (really!) Home office, co-working, and internet stipend Full benefits coverage for employees, with additional coverage available for dependents Up to 16 weeks of paid parental leave, regardless of path to parenthood Annual development allowance And much more... Please note we cannot currently sponsor or support visa transfers at this time. Additionally, in compliance with applicable law, all persons hired will be required to verify identity and eligibility to work. Phishing and Recruitment Scam Warning: We take your security seriously. Please be aware that recruitment scams are increasingly common and scammers may create email addresses or websites to impersonate Honeycomb employees. To help protect you: All communications will come from an @honeycomb.io email address We occasionally work with external recruiting agencies. These partners will use legitimate business email addresses— never personal accounts like Gmail or Yahoo . Our recruiting process will never ask you to provide financial or sensitive personal information, including but not limited to: Social security or tax identification numbers Credit card numbers Bank account information Diversity & Accommodations: We're committed to building a diverse, inclusive, and equitable workplace—where people of all backgrounds, identities, experiences, and abilities are welcomed, valued, and supported. We recognize that there is no single path to success and embrace nontraditional career journeys and diverse perspectives as key to building stronger, more innovative teams. We strive to ensure an inclusive experience throughout every stage of our hiring process and are happy to provide reasonable accommodations as needed. If you require accommodations or accessible formats at any point during our hiring process, please let your recruiter know. As an equal opportunity employer our hiring process is designed to put you at ease and help you show your best work. If there’s anything we can do to improve your experience, we’re always open to feedback. Privacy Notice: If you apply for a job at Honeycomb and your application is unsuccessful (or you withdraw from the process or decline our offer), Honeycomb will retain your information after your application for a period of time in accordance with local laws. We retain this information for various reasons, including in case we face a legal challenge in respect of a recruitment decision, to consider you for other current or future jobs at Honeycomb, and to help us better understand, analyze and improve our recruitment processes. For more information regarding our privacy practices please see the Honeycomb Privacy Notice . If you do not want us to retain your information, or want us to update it, please contact privacy@honeycomb.io . Please note, however, that we may retain some information if required by law or as necessary to protect ourselves from legal claims.

Honeycomb29 дн назад