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Location: United States About Us Ennoble Care is a mobile primary care, palliative care, and hospice service provider with patients in New York, New Jersey, Maryland, DC, Virginia, Oklahoma, Kansas, Pennsylvania, Texas, Florida, Ohio, Kentucky, Mississippi, and Georgia. Ennoble Care’s clinicians go to the home of the patient, providing continuum of care for those with chronic conditions and limited mobility. Ennoble Care offers a variety of programs including, remote patient monitoring, behavioral health management, and chronic care management, to ensure that our patients receive the highest quality of care by a team they know and trust. We seek individuals who are driven to make a difference and embody our motto, “To Care is an Honor.” Join Ennoble Care today! Purpose: We are looking for an experienced Advanced Provider (Nurse Practitioner or Physician Assistant) to provide primary care to Dialysis patients in DaVita facilities throughout the United States on a full-time basis. You will apply medical techniques and principles under the supervision of a physician, and you will care for a diverse set of patients with chronic diseases. What You'll Do: Provide high-quality care to primary and palliative patients in United States Assess patient's health by performing physical examinations; obtaining, updating, and studying medical histories and creating the best plan for care. Effectively communicate with office staff and clinical operations across various internal platforms Provide high quality, patient centered care to a panel of patients Develop impressions, diagnosis, and treatment plans Foster trust and consult with patients, families, and caregivers during visits Order diagnostic testing as medically necessary Prescribe medications supplies and appropriate medically necessary interventions What You'll Need: Board Certified, with a valid NP or PA certification in the United States Strong clinical skills with the ability to accurately and confidently treat, assess, and diagnose Positive demeanor and strong people skills Ability to confidently problem solve and operate independently 1-2 years of primary care experience with geriatric patients (hospice experience highly preferred but not required) What you'll get: A flexible schedule - so you can see your patients during a schedule that works for you Autonomy - so you can feel trusted to provide the best care possible. Support - from our in-house clinical team with any requests or orders. Growth - the opportunity to join our growing leadership team Full-time employees qualify for the following benefits: Medical, Dental, Vision and supplementary benefits such as Life Insurance, Short Term and Long Term Disability, Flexible Spending Accounts for Medical and Dependent Care, Accident, Critical Illness, and Hospital Indemnity. Paid Time Off Paid Office Holidays All employees qualify for these benefits: Paid Sick Time 401(k) with up to 3% company match Referral Program Payactiv: pay-on-demand. Cash out earned money when and where you need it! Candidates must disclose any current or future need for employment-based immigration sponsorship (including, but not limited to, OPT, STEM OPT, or visa sponsorship) before an offer of employment is extended. Ennoble Care is an Equal Opportunity Employer, committed to hiring the best team possible, and does not discriminate against protected characteristics including but not limited to - race, age, sexual orientation, gender identity and expression, national origin, religion, disability, and veteran status.

Location: San Francisco; Toronto; New York; Montreal; Seattle Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE We're looking for distributed systems engineers and product-minded generalists to build the distributed runtime that powers large-scale LLM inference on Baseten. Our inference platform empowers customers to deploy and operate cutting-edge models with industry-leading performance, scalability, and reliability. It also powers Model APIs, our hosted endpoints for the latest open-source models. You'll work across the stack, from the developer experience customers use to deploy models, through the libraries behind features like tool calling and reasoning, down to the systems that orchestrate deployments on Kubernetes and route traffic efficiently. Your job is to make sure every model on our platform is fast, reliable, and cost-efficient. You'll join a small, high-impact team at the intersection of distributed systems, model performance, infrastructure, and product, helping define how developers use AI models at scale. This role is ideal for engineers who enjoy owning systems in production, solving hard integration problems, and making complex infrastructure simple and reliable for users.   EXAMPLE INITIATIVES You'll get to work on these types of projects on our Inference Platform: - The Baseten Inference Stack at NVIDIA Dynamo Day https://www.baseten.co/blog/nvidia-dynamo-day-baseten-inference-stack/ - 2x faster inference with KV cache-aware routing https://www.baseten.co/blog/how-baseten-achieved-2x-faster-inference-with-nvidia-dynamo/ - How Baseten multi-cloud capacity management (MCM) unifies deployments https://www.baseten.co/blog/how-baseten-multi-cloud-capacity-management-mcm-powers-cloud-self-hosted-and-hybr/#comparing-deployment-options-cloud-vs-self-hosted-vs-hybrid RESPONSIBILITIES - Build the infrastructure and orchestration systems that deploy and run large-scale distributed LLM inference, including routing, autoscaling, scheduling, and runtime management. - Design, build, and operate Model APIs, with a focus on advanced inference capabilities: structured outputs (JSON mode, grammar-constrained generation), tool/function calling, and multimodal serving. - Implement platform fundamentals such as API versioning, validation, usage metering, quotas, and authentication. - Instrument deep observability (metrics, traces, logs) and build repeatable benchmarks for speed, reliability, and quality. Help set best practices for testing, release automation, and operational excellence. - Debug and harden complex production systems spanning Kubernetes, distributed runtimes, networking, and GPU workloads to improve reliability and scalability. - Partner with Inference Performance engineers and other teams to make new optimizations broadly available to customers and easy to configure. - Own projects end to end, from architecture through deployment, monitoring, and iteration on customer feedback. Along the way, make thoughtful tradeoffs between performance, reliability, operational simplicity, and developer experience.   REQUIREMENTS - Bachelor's, Master's, or Ph.D. in Computer Science, Engineering, or a related field, or equivalent practical experience. - 3+ years building and operating distributed systems, backend infrastructure, or large-scale APIs where reliability, latency, and scale are first-class concerns. - A proven track record of owning low-latency, reliable backend services, including rate limiting, auth, quotas, metering, and migrations. - Infrastructure instincts with a feel for performance: profiling, tracing, capacity planning, and SLO management. - Comfort debugging performance and reliability issues across multiple layers of the stack, from application behavior down to runtime and infrastructure internals. - A strong sense of developer experience. You think about how systems are used, not just how they work. - Eagerness to learn new languages, frameworks, and systems, and a real interest in inference engineering. Prior ML or LLM experience isn't required, though experience with model serving or inference systems is a plus. - Excellent written communication and collaboration skills, including writing clear design docs and working across functions.   NICE TO HAVE - Experience with or contributions to LLM inference engines and frameworks such as vLLM, SGLang, TensorRT-LLM, TGI, or Dynamo. - Deep Kubernetes experience, including operators and custom resources, plus familiarity with service meshes or API gateways. - Experience with distributed scheduling, autoscaling, or service orchestration. - Experience operating GPU workloads in production. - A background in developer-facing infrastructure or APIs, or contributions to open-source infrastructure or ML systems. - Familiarity with observability tooling, CI/CD systems, or release automation. BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Location: Fayetteville, AR About Us Ennoble Care is a mobile primary care, palliative care, and hospice service provider with patients in New York, New Jersey, Maryland, DC, Virginia, Oklahoma, Kansas, Pennsylvania, Texas, Florida, Ohio, Kentucky, Mississippi, and Georgia. Ennoble Care’s clinicians go to the home of the patient, providing continuum of care for those with chronic conditions and limited mobility. Ennoble Care offers a variety of programs including, remote patient monitoring, behavioral health management, and chronic care management, to ensure that our patients receive the highest quality of care by a team they know and trust. We seek individuals who are driven to make a difference and embody our motto, “To Care is an Honor.” Join Ennoble Care today! Purpose: We are looking for an experienced Advanced Provider (Nurse Practitioner or Physician Assistant) to provide primary care in facilities in the Fayetteville, AR area on a full-time basis. You will apply medical techniques and principles under the supervision of a physician, and you will care for a diverse set of patients with chronic diseases. What You'll Do: Provide high-quality care to patients in and around Fayetteville, Arkansas. Assess patient's health by performing physical examinations; obtaining, updating, and studying medical histories and creating the best plan for care. Effectively communicate with office staff and clinical operations across various internal platforms Provide high quality, patient centered care to a panel of patients Develop impressions, diagnosis, and treatment plans Foster trust and consult with patients, families, and caregivers during visits Order diagnostic testing as medically necessary Prescribe medications supplies and appropriate medically necessary interventions What You'll Need: Board Certified, with a valid NP or PA certification in the State of Arkansas Strong clinical skills with the ability to accurately and confidently treat, assess, and diagnose Positive demeanor and strong people skills Ability to confidently problem solve and operate independently 1-2 years of primary care experience with geriatric patients (hospice experience highly preferred but not required) What you'll get: A flexible schedule - so you can see your patients during a schedule that works for you.  Hours are typically 6am to early afternoon. Autonomy - so you can feel trusted to provide the best care possible. Support - from our in-house clinical team with any requests or orders. Growth - the opportunity to join our growing leadership team Compensation: Base salary starts at $115,000 , with additional earning opportunities through productivity incentives, quality bonuses, care management activities, sign-on and retention bonuses, shared savings programs, CME reimbursement, and mileage reimbursement. Total annual earnings can exceed $150,000+ annually . A detailed compensation breakdown will be reviewed during the recruitment process. #NursePractitioner, #PhysicianAssistant, #HealthcareJobs, #Hiring, #NowHiring Full-time employees qualify for the following benefits: Medical, Dental, Vision and supplementary benefits such as Life Insurance, Short Term and Long Term Disability, Flexible Spending Accounts for Medical and Dependent Care, Accident, Critical Illness, and Hospital Indemnity. Paid Time Off Paid Office Holidays All employees qualify for these benefits: Paid Sick Time 401(k) with up to 3% company match Referral Program Payactiv: pay-on-demand. Cash out earned money when and where you need it! Candidates must disclose any current or future need for employment-based immigration sponsorship (including, but not limited to, OPT, STEM OPT, or visa sponsorship) before an offer of employment is extended. Ennoble Care is an Equal Opportunity Employer, committed to hiring the best team possible, and does not discriminate against protected characteristics including but not limited to - race, age, sexual orientation, gender identity and expression, national origin, religion, disability, and veteran status.

Location: Alpharetta, GA Step into the innovative world of LG Electronics. As a global leader in technology, LG Electronics is dedicated to creating innovative solutions for a better life. Our brand promise, 'Life's Good', embodies our commitment to ensuring a happier life for all. We have a rich history spanning over six decades and a global presence in over 290 locations.  Our diverse portfolio includes Home Appliance Solutions, Media Entertainment Solutions, Vehicle Solutions, and Eco Solutions.  Our management philosophy, "Jeong-do Management," embodies our commitment to high ethical standards and transparent operations. Grounded in the principles of 'Customer-Value Creation' and 'People-Oriented Management', these values shape our corporate culture, fostering creativity, diversity, and integrity. At LG, we believe in the power of collective wisdom through an inclusive work environment.  Join us and become a part of a company that is shaping the future of technology.  At LG, we strive to make Life Good for Everyone. Our mission is to be #1 by creating a better life for our customers. At LG Electronics, we make products and services that make lives better, easier, and happier through increased functionality and fun. Put simply, we offer the latest innovations to make “Life Good”! – from home appliances, consumer electronics, vehicle components and mobile communications to business innovations in digital signage, air conditioning, solar and LED lighting. As a global leader, we strive for greatness not only in the products we make but in our people. We offer an environment that enables colleagues to demonstrate their capabilities, focus on their work and create value. At LG, you are encouraged to take a creative and individual approach to challenges with strong emphasis placed on performance and skill—and equal, merit-based opportunities across the board. We want our colleagues to grow with our global business. That is why we deliver sure rewards for exceptional performance and offer industry-leading benefits. Come join the team! Be with the Industry Innovation Leader What we can offer you: Culture for Growth | Top Notch Employee Health & Well Being Benefits | Every Voice Matters | Global Reach We are currently seeking a VP Chiller Sales, Engineering & Aftermarket, Data Centers. This role is a home office-based role with proximity to a hub Airport for travel purposes. (Preferred: Major Data Center Markets such as Northern Virginia, Dallas, Phoenix, Atlanta, Chicago, Silicon Valley, or Remote) Position Overview: The Vice President, Chiller Sales, Engineering & Aftermarket is responsible for leading the overall commercial strategy, sales execution, engineering support, and business development initiatives for the company's data center cooling solutions business across North America. This executive role will report directly to the Senior Vice President and drive growth through strategic customer engagement, market expansion, technical leadership, and organizational development within the rapidly evolving hyperscale, colocation, enterprise, and AI data center sectors. The VP will be accountable for developing and executing a comprehensive strategy that positions the organization as a trusted cooling solutions provider for mission-critical facilities. This includes direct engagement with hyperscale operators, colocation providers, engineering consultants, design-build firms, EPC contractors, and mechanical contractors involved in data center development. This role requires a unique combination of executive leadership, deep technical expertise in chiller and cooling systems, strategic sales capability, and strong relationships throughout the data center ecosystem. Essential Duties and Responsibilities: 1. Strategic Leadership Develop and execute a long-term strategy for the data center cooling business. Establish annual and multi-year revenue, margin, and market share objectives. Identify emerging opportunities within hyperscale, colocation, enterprise, and AI data center markets. Lead strategic planning and business expansion initiatives. Develop executive-level relationships with key customers and industry stakeholders. Monitor market trends, competitive activity, and technology developments. Lead all sales functions associated with data center cooling solutions. Achieve annual bookings, revenue, profitability, and market share objectives. Develop strategic account plans for major customers. Direct sales efforts involving: Hyperscale Operators, Colocation Providers, Cloud Service Providers, etc. Lead executive negotiations on major projects and strategic agreements. Improve sales effectiveness through process optimization, forecasting, and pipeline management. 2. Engineering & Technical Leadership: Provide executive leadership for all customer-facing engineering activities. Develop and maintain strategic relationships throughout the mission-critical ecosystem. Represent the organization at major conferences, trade shows, and industry associations while enhancing brand awareness and customer engagement. Partner with Product Management to influence future product roadmaps. Provide voice-of-customer feedback. Identify opportunities for product enhancement and innovation. 3. Project Management & Aftermarket: Provide executive leadership for project management and aftermarket teams Develop effective strategies to route products from factories to job-sites Create detailed aftermarket and parts programs that meet critical timing criteria Align with third -party technical support to provide seamless factor support 4. Data Center Market Development: Development strategic relationships with owners, developers, consultants, design firms, etc. Build deep market intelligence with AI data centers, high density computing, liquid cooling, etc. Represent LG at major industry events. 5. Product and Technology Alignment: Partner with Product Management to define future product roadmaps. Influence development of new products Provide direct voice-of-customer feedback. Ensure products align with evolving data center standards. 6. Organizational Leadership Build and develop a high-performing organization. Recruit, coach, mentor, and retain top talent. Establish succession planning initiatives. Foster collaboration across all functional groups. Promote a culture focused on accountability, innovation, and customer success. Key Qualifications Minimum 15 years of HVAC, applied equipment, or building systems experience. Minimum 10 years of progressive leadership experience. Bachelor’s degree in mechanical engineering strongly preferred. MBA strongly preferred. Professional Engineering (PE) license preferred. Proven record leading national sales organizations. Experience managing multi-million-dollar revenue businesses. Strong background in chiller systems and applied HVAC solutions. Demonstrated success developing executive-level customer relationships. Knowledge of data center infrastructure, including: Direct data center industry experience. Experience selling to hyperscale customers. Experience supporting mission-critical facilities. Experience leading both sales and engineering functions. Experience with large-scale infrastructure projects. #LI-DB2 Recruiting Range $250,000 — $325,000 USD Benefits Offered Full-Time Employees: No-cost employee premiums for you and your eligible dependents for competitive medical, dental, vision and prescription benefits. Auto enrollment with immediate vesting of competitive company matching contributions in a 401(k) Retirement Savings Plan with several investment options. Generous Paid Time Off program that includes company holidays and a combined bank of paid sick and vacation time. Performance based Short-Term Incentives (varies by role). Access to confidential mental health resources to help you and your loved ones improve your quality of life. Personal fitness goal incentives. Family orientated benefits such as paid parental leave and support for families raising children with learning, social, behavioral challenges, or developmental disabilities. Group Rate Life and Disability Insurance. Benefits Offered Temporary/Contractors: Eligible for the relevant benefit programs offered through our partner agencies. Privacy Notice to California Applicants Applicants who need assistance or a reasonable accommodation during the hiring process may contact our team by phone at: 973-477-7090 or support@lg4me.freshdesk.com. This email and phone number will only reply to accommodation requests and is not intended for general employment inquiries. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, protected veteran status, or any other characteristic protected by applicable federal, state, or local law. In addition to the above, LG believes that pay transparency is a key part of diversity, equity, and inclusion. Our salary ranges take into account many factors in making compensation decisions including but not limited to skillset, experience, licensure, certifications, internal equity, and other business needs. While we consider geographic pay differentials in final offers, because we operate in many geographies where applicable, the salary range listed may not reflect all geographic differentials applied .

Location: Berks, PA About Us Ennoble Care is a mobile primary care, palliative care, and hospice service provider with patients in New York, New Jersey, Maryland, DC, Virginia, Oklahoma, Kansas, Pennsylvania, Texas, Florida, Ohio, Kentucky, Mississippi, and Georgia. Ennoble Care’s clinicians go to the home of the patient, providing continuum of care for those with chronic conditions and limited mobility. Ennoble Care offers a variety of programs including, remote patient monitoring, behavioral health management, and chronic care management, to ensure that our patients receive the highest quality of care by a team they know and trust. We seek individuals who are driven to make a difference and embody our motto, “To Care is an Honor.” Join Ennoble Care today! Ennoble Care is seeking a full-time, experienced Hospice Community Liaison for our Berks County, PA region! The Hospice Community Liaison will be responsible for interaction in the community and promoting company services, such as our Hospice services. Analyze the potential of the company's service area to determine target markets. Visit Doctor' offices, hospitals, Assisted Living facilities, Skilled Nursing Facilities and other possible sources of referrals to present Agency credentials and obtain patient referrals. Analyze the company's organization to determine its strengths and weaknesses. Analyze past and current marketing data. Complete an analysis of the company's "product" line. Analyze patient/company relationships. Develop sales/marketing objectives and sales projections. Develop a marketing plan, identifying priorities and sets a reasonable timetable. Implement marketing plan staying within established timetable. Review and evaluate the analyses and plan on an established basis. Attend IDG meetings, as appropriate. Assist office staff as needed with going to updates, etc. Provide community outreach and education. Job Qualifications At least 3 years experience in marketing, nursing or social work interacting with health agencies/professionals. Must be organized and detail oriented. Must be able to communicate effectively orally and in writing. Must be a licensed driver with an insured automobile in good working order. Base Salary: $50,000 - $95,000, Plus: Monthly, Quarterly, and Annual Bonuses Full-time employees qualify for the following benefits: Medical, Dental, Vision and supplementary benefits such as Life Insurance, Short Term and Long Term Disability, Flexible Spending Accounts for Medical and Dependent Care, Accident, Critical Illness, and Hospital Indemnity. Paid Time Off Paid Office Holidays All employees qualify for these benefits: Paid Sick Time 401(k) with up to 3% company match Referral Program Payactiv: pay-on-demand. Cash out earned money when and where you need it! Candidates must disclose any current or future need for employment-based immigration sponsorship (including, but not limited to, OPT, STEM OPT, or visa sponsorship) before an offer of employment is extended. Ennoble Care is an Equal Opportunity Employer, committed to hiring the best team possible, and does not discriminate against protected characteristics including but not limited to - race, age, sexual orientation, gender identity and expression, national origin, religion, disability, and veteran status.

Location: Remote About Airship Airship is trusted by world’s leading brands such as Alaska Airlines, BBC and The Home Depot to drive revenue growth and customer loyalty with exceptional cross-channel customer experiences. Today, brands are challenged to deliver seamless, unified customer experiences across a fragmented array of channels and devices— apps, websites, email, SMS, wallets and more. Airship’s no-code, AI-powered platform was designed with non-technical, growth-focused teams in mind, making it easy to create, test and orchestrate hyper-personalized experiences across all channels. With the ability to easily enrich customer data and rapidly launch growth experiments, Airship enables brands to deliver consistent, meaningful interactions that accelerate conversion and foster deeper customer relationships. We invite you to be part of our journey in building products and delivering services that touch millions of customers around the world every day. To learn more about us, visit www.airship.com , read our blog or follow us on LinkedIn. About Gummicube, an Airship Company Gummicube develops powerful app discovery technology, enabling anybody with an app to quickly optimize for the most organic search visibility. Gummicube's DATACUBE software leverages proprietary big data for mobile to understand App Store search trends and the competitive landscape. Using DATACUBE, mobile search data and user behavior is no longer a black box -- resulting in greater visibility, more high-quality organic downloads and a lower overall cost of user acquisition. Together, Gummicube and Airship enable brands, marketers, product owners and developers to optimize their entire mobile app experience — from the point of discovery to loyalty. To learn more about Gummicube, visit www.gummicube.com . The Role As the Head of Business Development, you’ll lead Gummicube’s sales team and help grow its software and services business. You’ll support a strong inbound sales process while building a more consistent outbound approach. This is a hands-on role: you’ll coach the team, work directly with customers, and improve how the team moves opportunities from first conversation to close. What You’ll Do Set and carry out a sales plan that supports profitable growth and revenue targets. Keep inbound sales effective while building an outbound pipeline. Guide target-account selection, outreach, qualification, and follow-up. Coach and develop the team, and help hire as the business grows. Strengthen their discovery, stakeholder mapping, and proposal skills. Meet with prospective enterprise customers, understand their goals, and recommend the right mix of Gummicube products and services. Lead strategic deals through proposals, responses to customer requests, commercial negotiations, and close. Support renewal discussions and resolve new-business escalations. Work with strategy, analytics, creative, product, and client services teams to shape solutions that meet customer needs and can be delivered well. Improve pitch materials, pipeline tracking, deal reviews, and handoffs. Test sales messaging and use results to refine the approach. Partner with leadership on sales incentives and compensation plans that support revenue goals and team selling. Report pipeline, conversion, bookings, team performance, and forecast accuracy to Gummicube leadership. Represent Gummicube at customer meetings, conferences, trade shows, and team events. What We’re Looking For At least 8 years of business development, sales, or revenue leadership experience, including ownership of inbound and outbound sales, enterprise pipeline development, and team performance. Experience leading consultative sales of software, services, or both. You can guide opportunities from prospecting and demonstrations through proposals, negotiation, and close. Experience selling to enterprise customers with multiple decision-makers and longer sales cycles, including negotiating six-figure annual contracts. Strong discovery and executive communication skills. You can identify customer needs, stakeholder priorities, budgets, and decision criteria, then build clear recommendations and business cases. Experience in mobile growth, app marketing, app store optimization, marketing technology, advertising technology, or a related market. You’re willing to deepen your knowledge of Gummicube’s products and services. Experience in a startup or growing business, where you’ve improved processes and balanced current inbound opportunities with longer-term outbound pipeline development. Strong sales operations skills, including forecasting, performance reporting, customer relationship management systems, sales process design, and team development. Knowledge of sales compensation, quotas, and incentive plans, along with the ability to work across teams and communicate clearly with customers and colleagues. We'd Be Delighted If You Also Have At least 5 years of experience in the mobile industry. At least 2 years working with app store optimization, app store analytics, mobile growth, or mobile user acquisition. Experience selling to both enterprise and small or midsize customers, adapting your approach to each. Experience in an agency, consulting, managed services, or a business combining software and services, especially where analytics inform customer recommendations. Experience building a team-based sales approach across sales, strategy, analytics, client services, product, and leadership. Work Location & Travel Requirements You must be based in an Airship-eligible U.S. location. This role is remote, with Pacific Time working hours preferred. Expect up to 30–40% travel for customer meetings, events, and team gatherings. Compensation and Benefits Compensation is determined by a variety of factors including market data, business needs, and geography. Base pay is part of your total compensation package and is dependent on multiple factors, including relevant skills, work experience, business priorities, market demands, and location. The total On-Target Earnings (OTE) range for this position is $350,000 USD per year, reflecting a 60/40 base salary and variable compensation structure. Airship believes that employees should have the opportunity to benefit from value-creation, so equity is also offered with this role. In addition, Gummicube, as part of Airship Group, Inc., offers a benefits package as part of our Total Rewards approach to compensation. Benefits & Perks Competitive medical, dental, and vision insurance options for you and your dependents Flexible time off, company paid holidays, paid parental leave, and paid volunteer time off Support for your overall wellbeing with mental health and wellness resources Employer-subsidized life insurance as well as short-term and long-term disability A digital-first work environment and a monthly stipend to support remote work Mentorship and growth opportunities to build skills and accelerate professional development And more! AI in Recruiting We use artificial intelligence tools in our recruitment process as decision-support tools only. Airship's People Operations team reviews all AI-generated scores and recommendations before making any hiring determination. No applicant is rejected solely on the basis of an AI-generated output. Depending on your location, you may have the right to request human review of any AI-assisted employment decision or to opt out of AI evaluation. To make a request or learn more about how we use AI in hiring, contact privacy@airship.com or visit airship.com/legal . California residents can view the CCPA disclosure notice here . ** Please Note: To ensure the security of your personal information, Airship will only contact candidates through email addresses ending with “@airship.com”. Hiring Commitment Airship is committed to fostering a diverse work environment and providing equal employment opportunities to all applicants and employees. We welcome your application and our hiring and employment decisions are made irrespective of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. In alignment with our commitment to equal opportunity, Airship will consider for employment all qualified applicants, including those with criminal histories, in a way that adheres to the principles of fairness and the requirements of local Fair Chance laws, where applicable. By submitting this application, I affirm that the facts set forth in it are true and complete to the best of my knowledge. I understand that if I am employed, false statements, omissions, or misleading information given in my application, interview(s), or in a background check may result in dismissal.

Location: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. By combining advanced sensing, data science, and technology designed for continuous wear, WHOOP delivers insights that help members better understand and improve their health and performance. WHOOP is looking for a Senior Sensor Intelligence Engineer to join our Embedded Controls team within Sensor Intelligence and help shape the sensing capabilities across current and future WHOOP devices. Sitting at the intersection of signal processing, machine learning, embedded systems, and sensor technology, you will develop algorithms that interpret real-world sensor signals and intelligently control how sensors operate on-device. You will work across the sensing stack from understanding sensor physics and signal characteristics through algorithm development and embedded deployment to enable increasingly sophisticated sensing capabilities while meeting the power, compute, memory, and reliability constraints of a continuously worn device. RESPONSIBILITIES: - Develop signal-processing and machine-learning algorithms that interpret physiological, motion, and other wearable sensor signals, including applications such as activity and state detection, wear detection, signal-quality assessment, and device-state estimation - Design intelligent embedded control strategies that dynamically configure sensor behavior based on signal quality, device state, user context, system requirements, and power constraints - Characterize new and existing sensors by understanding signal behavior, noise sources, artifacts, dynamic range, sampling requirements, calibration, operating modes, and the impact of analog and acquisition architectures - Prototype algorithms and sensing strategies using tools such as Python or MATLAB, then partner with Firmware Engineering to translate them into robust, computationally efficient implementations suitable for resource-constrained embedded systems - Partner closely with Firmware, Electrical Engineering, Data Science, Hardware, and broader Sensor Intelligence teams to bring up new sensing modalities, debug issues across the sensing stack, and inform sensing architectures for future WHOOP products - Develop experiments, analysis frameworks, and validation methodologies to evaluate sensor and algorithm performance across users and real-world conditions, optimizing solutions for accuracy, robustness, latency, memory, compute, and power QUALIFICATIONS: - BS, MS, or PhD in Electrical Engineering, Computer Engineering, Biomedical Engineering, Computer Science, Applied Physics, or a related technical field, or equivalent practical experience - Strong foundation in digital signal processing and time-series analysis, with experience applying techniques such as filtering, spectral analysis, sampling theory, noise reduction, and feature extraction to real-world sensor data - Experience developing signal-processing and/or machine-learning algorithms for noisy, artifact-prone sensor data and taking algorithms beyond offline analysis toward real-time, embedded, or production implementation - Strong proficiency in Python, MATLAB, or similar algorithm-development environments, with working knowledge of C/C++ and embedded-system considerations such as timing, memory, compute, and hardware interfaces - Working knowledge of sensor and electrical systems, including concepts such as ADCs, analog front ends, sampling, digital interfaces, noise, calibration, and signal acquisition - Ability to investigate and solve ambiguous engineering problems across algorithm, firmware, sensor, and electrical boundaries using strong experimental and analytical methods - Experience with wearable, physiological, optical, impedance, motion, multimodal, or related sensor systems is valued; experience with embedded inference, sensor fusion, fixed-point processing, quantization, low-power sensing, or microcontroller deployment is a plus - Strong commitment to embracing and leveraging AI tools in day-to-day tasks, ensuring AI-assisted work aligns with the same high-quality standards as personal contributions. Interested in the role, but don't meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply. WHOOP is an Equal Opportunity Employer and participates in E-Verify to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Location: United Kingdom SingleStore is growing our Sales Development team, and we’re looking for hungry, motivated sales development professionals. The SDR team at SingleStore uses outbound prospecting tactics to generate opportunities for our sales team(s). Business development representatives are assigned to account-based territories for commercial, enterprise, and strategic target accounts. This team is a keen group with high business acumen and a hunter's mentality, comfortable generating their own leads. Role and Responsibilities: Generate a qualified sales pipeline for SingleStore targeted accounts ($100M - 1BN in annual revenue) Actively prospect using phone, email, and social media; 50:50 split between outbound and inbound Partner with up to 4 Account Executives on account plans and prospecting strategies Identify key account stakeholders to generate opportunities for SingleStore Maintain open communication and alignment with Account Executives and management Quickly gain a strong understanding of the SingleStore value proposition and the database industry landscape (prior data experience is a plus) Consistently achieve/exceed the monthly quota of qualified opportunities and meaningful interactions with new prospects Required Skills and Experience: 1+ years of SDR (Inbound), or BDR experience in the software industry preferred Strong business acumen, with the ability to become an expert on database management systems (DBMS) within your first 90 days Proven track record of running high-volume outbound cadences via phone, email, and social media Proven track record of achieving measurable lead and pipeline goals; references preferred Formal sales training is a plus Required to be available Tuesdays and Wednesdays for pipeline generation days with the team and overall training Fluent in French and German What you’ll bring: Comfortable operating in a fast-paced environment An exceptional written and spoken communicator Hungry for a career in sales or other areas of enterprise software Comfortable reaching out cold to executive-level and technical prospects Experience with sales tools like Salesforce, Outreach.io, Zoominfo, and LinkedIn Highly organized & autonomous Entrepreneurial and self-motivated An ability to partner with and support co-workers and customers across time zones SingleStore delivers the cloud-native database with the speed and scale to power the world’s data-intensive applications. With a distributed SQL database that introduces simplicity to your data architecture by unifying transactions and analytics, SingleStore empowers digital leaders to deliver exceptional, real-time data experiences to their customers. SingleStore is venture-backed and headquartered in San Francisco with offices in Sunnyvale, Raleigh, Seattle, Boston, London, Lisbon, Bangalore, Dublin and Kyiv. Consistent with our commitment to diversity & inclusion, we value individuals with the ability to work on diverse teams and with a diverse range of people. SingleStore is looking for an accomplished sales professional to join our Sales Team. AI is moving from experimentation into production, and this role is an opportunity to break into AI while doing meaningful enterprise selling. As an Account Executive, AI Hunter, your job is simple: create new SingleStore customers. You will find companies building AI applications where data access, real-time context, memory, retrieval, or operational scale is becoming a constraint—and turn those challenges into new SingleStore customers. You will own a broad territory, build a majority self-sourced pipeline, create demand in an emerging category, and close greenfield enterprise opportunities. This is a true hunting role. You will engage customers before they have a defined project, develop customer-specific points of view, create urgency around business and technical problems, work with technical experts to land first production workloads, and build a measurable new-logo business with broad ownership. The ideal candidate is a measurable enterprise hunter who is competitive, curious, technically credible, resilient, and able to sell business outcomes. Direct AI sales experience is valuable, but proven selling ability and technical curiosity matter more than a narrow “AI seller” title. Role and Responsibilities Build and execute a territory strategy for net-new customer acquisition. Prospect fearlessly across a broad account universe using proactive, persistent outbound, account-based, partner, and market-education motions; stay resilient and effective through rejection and ambiguity. Form account hypotheses, map the buying center, and earn first meetings with relevant points of view tailored to the customer. Engage executive, business, technical, security, and procurement stakeholders. Lead great business-first discovery, connect AI and data challenges to fundable goals, and build quantified ROI, TCO, or operational-impact cases. Build and develop champions, multi-thread the buying group, earn executive and economic-buyer access, and maintain stakeholder alignment; own the stakeholder plan, mutual action plan, close plan, value case, stage gates, forecast, and commercial outcome. Lead complex sales cycles through technical validation, security, legal, procurement, negotiation, and close. Partner with Solutions and Forward Deployment Engineers and cross-functional teams to validate technical fit and establish the first production workload. Navigate competitive displacement and maintain disciplined activity management, CRM hygiene, reporting, qualification, forecasting, and opportunity management; showcase clear metrics such as pipeline created, meetings, conversion, quota attainment, and new-logo performance. Be AI fluent: use AI and research tools productively and responsibly while applying judgment, validating outputs, and separating facts from hypotheses. Travel within the assigned territory as required. Required Skills and Experience 5+ years of quota-carrying B2B enterprise software sales experience, ideally selling to large or technically sophisticated organizations; experience in data, cloud, analytics, AI, or adjacent technical domains is a plus. Repeated, quantified quota success with clear ownership of new-logo wins and self-sourced pipeline. Experience closing complex, multi-stakeholder deals involving executives, technical evaluators, security, legal, finance, procurement, and partners. Ability to sell measurable business outcomes and build ROI, TCO, or operational-impact cases. Technical fluency in an adjacent domain such as databases, data infrastructure, analytics, AI/ML, cloud, Kubernetes, developer tools, cybersecurity, observability, or open-source software. Strong qualification, account planning, forecasting, CRM, negotiation, and deal-management skills. Learning velocity and coachability, demonstrated through specific behavior change after feedback; ability to explain technical concepts clearly to technical and executive audiences. Executive presence, customer trust, resilience, intellectual honesty, and excellent communication skills. B.A., B.S. degree or equivalent in a related field. Experience with Fortune 500 or security-sensitive organizations, cloud ecosystems, open-source or consumption-based products, or emerging categories is preferred. To all recruitment agencies: SingleStore does not accept agency resumes. Please do not forward resumes to SingleStore employees. SingleStore is not responsible for any fees related to unsolicited resumes and will not pay fees to any third-party agency or company that does not have a signed agreement with the Company. SingleStore values individuals for their unique skills and experiences, and we’re proud to offer roles in a variety of locations across the United States. Salary is based on permissible, non-discriminatory factors such as skills, experience, and geographic location, and is just one part of our total compensation and benefits package. Certain roles are also eligible for additional rewards, including merit increases and annual bonuses. SingleStore’s salary range for this role is £60,000 - £90,000 For candidates residing in California, please see our California Recruitment Privacy Notice . For candidates residing in the EEA, UK, and Switzerland, please see our EEA, UK, and Swiss Recruitment Privacy Notice.

Location: Cape Canaveral, Florida, United States BRPH is a technically focused, creative architecture, engineering, and construction company with over six decades of expertise in helping mission-driven clients in the aerospace, defense, manufacturing, commercial, education, entertainment, hospitality, and federal markets identify gaps in their program delivery and develop innovative solutions to their most challenging problems across the U.S. and around the world. Consistently ranked among the nation’s top firms, we take pride in solving complex challenges with forward-thinking solutions. About BRPH: BRPH is a technically focused, creative architecture, engineering, and construction company with over six decades of expertise in helping mission-driven clients in the aerospace, defense, manufacturing, commercial, education, entertainment, hospitality, and federal markets identify gaps in their program delivery and develop innovative solutions to their most challenging problems across the U.S. and around the world. Consistently ranked among the nation’s top firms, we take pride in solving complex challenges with forward-thinking solutions. As an employee-owned company, BRPH is known for its collaborative culture, technical excellence, and client-focused approach, bringing together multidisciplinary teams to design and build environments that are functional, efficient, and future-ready. SUMMARY DESCRIPTION: On-site Site Safety Health Officer Heath (SSHO) to assist in implementing the on-site safety program to ensure a safe, injury and incident-free work environment in accordance with contract requirements, OSHA, company internal safety program, site-specific Accident Prevention Plans (APP), and development of activity hazard analysis (AHA’s) on an exciting and confidential project. ESSENTIAL DUTIES AND RESPONSIBILITIES: The SSHO is on site while the work is taking place and will work side by side with the on-site Health, Safety, and Environmental (HSE) Manager in ensuring an injury and incident-free project site. Responsible for enforcing all federal, state, and company safety regulations and policies to prevent injuries, accidents, and property damage on the construction project site. Performs daily inspections throughout the course of the day and takes any necessary actions to ensure the site, subcontractors, and all personnel follow the OSHA, and contract safety requirements on the project site. Conducts safety orientations for all new hires and conducts/coordinates other training courses for employees/workers, as needed. Assists the HSE Manager and project team in the selection, review, and approval of prospective subcontractor’s safety pre-qualification form, management of administrative paperwork, and assists in managing the claims process for incidents. The Safety Supervisor shall perform, but not be limited to, the following Responsibilities/Essential Functions: •    Monitors site safety continuously by performing walkthroughs on work areas and conducting random safety assessments at the job sites. •    Provides coaching, mentorship, and thought leadership to bring about behavior that is both safe and productive and promotes a culture of safety on the project site. •    Prepare the Activity Hazard Analysis (AHA) for each definable feature of work on the project in accordance with OSHA requirements. •    Prepare, complete, and update job hazard analysis, and any forms and checklists associated with the type of work to be performed by the Contractor/Subcontractor. •    Maintains the Contractor/Subcontractor on-site MSDS library and chemical inventory lists along with labeling requirements. •    Maintains and keeps up to date HSE reports of job site performance, including forms, permits, checklists, pictures, and any other applicable documents as required. •    Maintain communication with the client Site Representative and attend all required safety meetings with both the Client and the customer as required. •    Immediately reports to the client’s site representative any visits or contacts from outside regulatory agencies and participates in their inspection process. •    Thoroughly investigates and documents all accidents and near misses including injuries and property damage. The Contractor Site Safety Representative will also assist the Client Site. •    Representative in conducting root cause analysis for recordable incidents, serious first aid incidents, or high severity near misses. •    Conducts and documents daily and required periodic safety inspections/audits. •    Implements and audits the site emergency response plan and ensures that evacuation drills are conducted as required or prescribed. •    Conducts and tracks all Contractor/Subcontractor safety induction training including site-specific or customer requirements. •    Monitors the safety daily work permit system for the Contractor/Subcontractor. •    Assists with the development and implementation of site security. •    Maintains site Health, Safety, and Environmental documentation, training, induction, and internal •    Leads and encourages Contractor/Subcontractor participation with Client’s additional Health, Safety, environment, and Security requirements. EDUCATION and/or EXPERIENCE: •    Minimum of bachelor’s degree from an accredited four-year college or university. Minimum of five years as an on-site SSHO. •    OSHA 30 •    First Aid/CPR • Must be a US citizen PHYSICAL REQUIREMENTS: •    Ability to navigate and move around the construction site, which may involve walking, climbing ladders and scaffolding, and standing for extended periods on uneven surfaces. •    Ability to lift to 50 pounds. •    Ability to handle tools, equipment, and perform tasks that require coordination and manual skills. •    Manual dexterity, hearing, mental acuity, typing, reaching, repetitive motion, speaking, talking, and visual acuity. •    Ability to operate a motor vehicle. •    Ability to stand and sit for periods longer than 30 minutes but not to exceed two hours consecutively. •    Ability to print and draw letters, numbers, words, characters, and symbols that are legible and understood by others. •    Ability to learn complex tasks and remember how to complete tasks without assistance once trained. •    Ability to control behavior when encountering stressful situations or short deadlines and to maintain a high level of concentration. •    Quick thinking and decision-making ability to address issues and challenges that may arise during construction. •    Endurance to work in various weather conditions and handle the physical demands of supervising a construction project. •    Strict adherence to safety protocols and the ability to enforce safety standards on the construction site. •    Adherence to personal protective equipment (PPE) requirements when on the construction site, such as hard hats, safety vests, and steel-toed boots. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. This job description may be changed to include new responsibilities and tasks or change existing ones as management deems necessary. EOE, including Disability/Vets

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 team Anthropic's Security Governance, Risk, and Compliance (GRC) team is the connective tissue that holds the company accountable to its security commitments. We translate regulatory, customer, and voluntary obligations into controls that teams act on, and give leadership a bird's-eye view of how well we're meeting them. We're building toward a fundamentally different kind of GRC: one that directs Claude, with the right humans in the loop, to challenge and evidence the performance of controls continuously rather than through periodic audits. Responsibilities: Serve as the security policy partner for AI agent governance, authoring the policies and standards for how agents are built, deployed, operated Define review and approval criteria when an agent may interact with sensitive or regulated data, and which actions require human approval as it relates to compliance frameworks Serve as the GRC reviewer within existing engineering approval workflows Define data governance requirements for agents, including least-privilege access, access reviews, and handling of regulated and sensitive data Monitor agent behavior over time and adapt governance requirements in partnership with cross-functional security, research and engineering teams Map agent security and data controls to AI governance frameworks (e.g., ISO 27001, ISO 42001, EU AI Act), strengthening Anthropic's certification efforts ensuring agent security is auditable Assess and document agent-related security and compliance risks, driving them to resolution with engineering owners Own the policy for agent-related risk acceptances and exceptions, including approval authority, duration and re-review You may be a good fit if you: Have 8+ years in security governance, risk, and compliance, including ownership of security policies and control standards at a technology company Have owned or meaningfully supported efforts to compartmentalize sensitive data, PII, or intellectual property, and understand how identity and access mechanisms implement or undermine protection boundaries Think about non-human identities as a distinct risk and control category, and can design least-privilege access and accountability controls for systems acting on a person's behalf Can reason from a threat model to a control and explain the tradeoff to both an engineer and an auditor Have defined risk-based review or approval criteria within engineering workflows and kept them effective under high change velocity Deliver clear, precise written work for both technical and non-technical audiences Thrive in ambiguous environments with no settled industry playbook, where you're expected to propose the standard rather than wait for one Are energized by being the security and risk authority who educates and influences outcomes rather than only advises Strong candidates may also: Understand the security properties of LLM agents, whether from an AI, developer-platform, or agent-tooling company, or through comparable experience Bring familiarity with AI governance frameworks alongside traditional security frameworks Have adapted controls from regulated or highly sensitive environments to an open, high-trust engineering culture Possess relevant certifications (CISSP, CISM, CRISC, CISA, CCSP, ISO 27001 or ISO 42001 Lead Implementer/Auditor) Candidates need not have: Done everything on this list before. Very few people have governed AI agents at scale — we care more about how you reason about access, accountability, and blast radius than about a prior title. Deadline to apply: None. Applications will be received on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $255,000 — $345,000 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.

Location: Scotch Plains,New Jersey 07076 A Typical Tuesday for Our Scotch Plains Behavior Tech 🗓️ 3:30 PM — School's out. You show up ready to go — maybe with a favorite game, a silly joke, or just good energy. 3:45 PM — Session starts. Today it's building with blocks and working on a few new skills. He's laughing. You're both having a genuinely good time. 4:30 PM — Small win: he nails something he's been working on for weeks. That feeling? That's the job. 5:15 PM — Wrap up, quick notes, high five goodbye. See you Thursday. 8:00 PM — You're home, relaxed, and $20–$30/hour richer for an afternoon that didn't feel like work at all. Sound like your kind of Tuesday? We're hiring a 1-on-1 ABA Para / Behavior Tech in Scotch Plains, NJ (07076) . 📍 Location: Scotch Plains, NJ 07076 💰 Pay: $20–$30/hour 🕒 Schedule: After-school & weekends — keep your weekdays free 🎓 Great fit for: Psychology, Education, or Healthcare majors looking for real, resume-worthy experience ⚡ What we need from you: energy, reliability, compassion, and a genuine interest in working with kids 👉 APPLY TODAY!!! Welcome onboard!

Location: Pemberton Township,New Jersey 08015 Make a Real Difference — And Get Paid Well for It! 🚨 NOW HIRING: Behavior Technician / ABA Para 📍 Location: Pemberton Township, NJ (08015) 🕒 Schedule: Flexible part-time — after-school & weekends (perfect for students or a second income!) Are you energetic, fun-loving, and looking for a role that actually makes you smile at the end of the day? We're seeking a compassionate, reliable person for rewarding 1-on-1 after-school and weekend sessions with an amazing child. ✨ Why You'll Love Working With Us: 💰 Competitive pay — $20 - $30 🕒 True flexibility — easily balance work around classes, family, or your main job 🌟 Real job satisfaction — see the direct, positive impact of your work every session 🤝 Supportive team — set up for success from day one, with training and guidance If you have a big heart, high energy, and a desire to help a child grow, we'd love to hear from you. 👉 [Apply Now / Send a Message] to learn more about this opportunity.

Location: Hybrid About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations Austin, US New York, NY Washington DC European Cloudflare Hubs About the Role At Cloudflare, we have our eyes set on an ambitious goal: to help build a better Internet. Today the company runs one of the world’s largest networks that powers approximately 25 million Internet properties, for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. We realize people do not fit into neat boxes. We are looking for curious and empathetic individuals who are committed to developing themselves and learning new skills, and we are ready to help you do that. We cannot complete our mission without building a diverse and inclusive team. We hire the best people based on an evaluation of their potential and support them throughout their time at Cloudflare. Come join us! About the Department Cloudflare’s engineering teams build and maintain the systems and products that power our global platform. A global platform which is within approximately 50 milliseconds of about 95% of the Internet connected population, serving on average, over 46 million HTTP requests per second. About the Team Delivering this platform with high performance and efficiency depends on advanced Linux kernel and hardware capabilities, and that is where this team works. The Performance Team owns overall system and application performance across that fleet: resource optimization, instrumentation, and the tooling that lets us see what the hardware is actually doing. System memory sits alongside CPU cycles, network processing, and storage IOPS as a first-class resource, and how the kernel manages it is increasingly the thing that decides how hot we can safely run every machine we own. We work upstream first. Several of us maintain or regularly contribute to the Linux kernel, and our default is to fix problems in mainline rather than carry private patches. This role is built on that principle. The problem you would own Using memory efficiently is one of the highest-leverage problems we have. At our scale, how the kernel's memory-management subsystem behaves under pressure has direct consequences for both performance and cost. As DRAM prices climb, getting more out of the memory we already own is a real lever on infrastructure spend. Using custom low-overhead instrumentation on production servers, we have identified several scalability bottlenecks in the kernel memory layer that show up under real workloads. We are looking for an expert to take on these problems, fix them against production workloads, and drive the changes upstream. Solving them lifts efficiency and latency across the entire fleet rather than in one place. What you will do Diagnose and fix performance and scalability bottlenecks in the Linux kernel memory-management subsystem, informed by real production telemetry at a scale few environments can offer. Land your work upstream. We expect MM changes to go to mainline first and want you to keep doing the maintainership and review work that earns standing in the community. Build and extend low-overhead kernel instrumentation (tracepoints, BPF, perf) so we keep measuring before we change, and prove the impact afterwards. Partner with kernel, networking, storage, and product engineers across the company to turn observed system behavior into concrete MM improvements. Set technical direction for how Cloudflare uses, tunes, and evolves kernel memory management as we push utilization higher. Requirements Deep expertise in the Linux kernel memory-management subsystem: the page allocator, virtual memory and memory mapping, reclaim, and the locking and concurrency that hold it together. A track record of upstream Linux contribution, ideally including maintainership or sustained work in MM or an adjacent subsystem. Strong systems programming in C, with the judgement to make high-risk changes to shared infrastructure safely. Ability to dive deep into a complex codebase while keeping the fleet-wide picture in mind, and to own a problem and its outcome rather than a single patch. Clear communication with engineers across many teams, since the symptoms of an MM problem usually show up far from the MM code. Bonuses Strong understanding of Linux kernel internals pertaining to memory management Experience troubleshooting and resolving performance issues in large-scale distributed systems. Experience with large scale configuration/deployment management. What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

Location: Foster City, CA Workplace: Hybrid Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. ABOUT THE ROLE We're looking for a Security Engineer with deep incident response experience to help defend Replit, a fast-moving, cloud-native AI vibe-coding platform. You'll be the person who takes charge when something goes wrong. You'll lead investigations from first signal to root cause, coordinate containment across Security, SRE, and Engineering, and keep stakeholders informed while the incident is moving fast. This isn't a pure responder role. We want a well-rounded security engineer who has run real incidents and wants to make the next one faster. You'll write the scripts, automations, and tooling that take manual work out of triage, evidence collection, and containment. You'll also turn lessons from each incident into better detections, playbooks, and platform hardening.   RESPONSIBILITIES Incident Response - Serve as incident commander or technical lead for security incidents, from detection and triage through containment, eradication, recovery, and post-incident review. - Coordinate response across Security, SRE, Engineering, Legal, and leadership. Drive decisions under pressure and keep a clear record of actions taken. - Communicate incident status, impact, and risk clearly to technical and executive audiences. - Participate in and help shape the security on-call rotation. Investigation & Forensics - Investigate suspicious activity across cloud infrastructure, containers, identity systems, and application layers using SIEM, Cloud Logging, telemetry, and host and container artifacts. - Determine scope, root cause, attacker behavior, and blast radius for confirmed incidents. - Quickly assess whether emerging threats (0-days, active exploitation campaigns, bug bounty findings, customer reports) apply to Replit, and whether we're already affected. IR Automation & Tooling - Build scripts, automations, and tools (Python, Go, Bash, or directly on Replit) that speed up response, such as automated enrichment, evidence collection, credential and session revocation, workload isolation, and alert triage. - Develop and maintain response playbooks and runbooks, and automate them where possible. - Integrate response workflows with SIEM, SOAR, ticketing, and chat tooling to cut time-to-contain. Detection & Continuous Improvement - Turn incident findings into new or improved detections, logging coverage, and visibility. - Lead blameless post-incident reviews and drive remediation items to completion. - Run tabletop exercises and simulations to test readiness and find gaps.   REQUIRED SKILLS & EXPERIENCE - Proven experience leading or serving as technical lead on security incidents in a cloud or SaaS environment. - Strong hands-on investigation skills with SIEM, cloud audit logs, and log-based analysis. Comfortable working through large datasets under time pressure. - Proficiency writing production-quality scripts or tools in Python, Go, or Bash for investigation and automation. - Solid knowledge of cloud architecture and security, especially Google Cloud Platform (IAM, audit logging, GKE, networking). - Working knowledge of Kubernetes and containers, including how to investigate and contain compromised workloads. - Understanding of identity systems, SaaS architectures, and common cloud attack paths (credential theft, privilege escalation, supply chain, token abuse). - Familiarity with software engineering fundamentals, CI/CD pipelines, and package ecosystems, so you can work effectively with Engineering on code-level fixes. - Understanding of IR frameworks and lifecycle (for example NIST 800-61), plus the vulnerability lifecycle and exploitability analysis.   PREFERRED QUALIFICATIONS - Experience building or operating SOAR or other response automation platforms. - Digital forensics experience with cloud, Linux hosts, or containers. - Experience with threat intelligence, threat hunting, or security research. - Experience with bug bounty programs or coordinated vulnerability disclosure. - Familiarity with detection-as-code practices and writing detection rules. - Experience in fast-paced, cloud-native, or AI/ML-driven environments. - Relevant certifications (such as GCIH, GCFA, GCFR), or equivalent hands-on experience. WHAT WE VALUE - Curiosity & initiative: Strong desire to understand attacker behaviors, emerging threats, and how they apply to real-world systems. - Speed & analytical rigor: Ability to quickly assess high-risk vulnerabilities with clear, evidence-based reasoning. - Collaboration: Comfort working across cross-functional teams spanning Security, SRE, Engineering, and Infrastructure. - Clear communication: Ability to explain findings, risks, and mitigation strategies to stakeholders at all levels. - Ownership mindset: Takes initiative to drive investigations, improvements, and remediations to completion. - Continuous learning: Passion for staying up to date on new vulnerabilities, exploit trends, and cloud-native security best practices. Full-Time Employee Benefits Include: 💰 Competitive Salary & Equity 💹 401(k) Program with a 4% match (US Only) ⚕️ Health, Dental, Vision and Life Insurance 🩼 Short Term and Long Term Disability 🚼 Paid Parental, Medical, Caregiver Leave 🏝 Flexible Time Off (FTO) + Holidays 🚗 Commuter Benefits (In-Office & US Only) 📱 Monthly Wellness Stipend 🧑‍💻 Autonomous Work Environment 🖥 In Office Set-Up Reimbursement (In-Office Only) 🚀 Quarterly Team Gatherings ☕ In Office Amenities (In-Office Only) Want to learn more about what we are up to? - Self-driving Company https://replit.com/blog/self-driving-company - Replit Agent at Scale https://replit.com/blog/evaluating-and-improving-agent-at-scale - AI Adoption https://replit.com/blog/ai-adoption - Build Open-Source Apps https://replit.com/build/open-source-app-builder   Interviewing + Culture at Replit - Operating Principles https://blog.replit.com/operating-principles - Reasons not to work at Replit https://blog.replit.com/reasons-not-to-join-replit To achieve our mission of making programming more accessible around the world, we need our team to be representative of the world. We welcome your unique perspective and experiences in shaping this product. We encourage people from all kinds of backgrounds to apply, including and especially candidates from underrepresented and non-traditional backgrounds.

Location: Dublin, Ireland About Us Fanatics is a leading global sports platform redefining how fans connect with the teams, players and moments they love. Our businesses — Fanatics Commerce, Fanatics Collectibles, Fanatics Betting & Gaming, Fanatics Events, Fanatics Advertising, Fanatics Markets and Fanatics Studios — maximize the presence and reach for hundreds of partners globally and create a one-stop experience that allows fans to buy, bet, collect, and earn, while engaging with sports in deeper, more immersive ways. This includes licensed fan gear and lifestyle products, sportsbook and iGaming, physical and digital trading cards, live events, premium sports entertainment content, credit card offerings and more. Together, they form a powerful, integrated ecosystem — connected by the Fanatics ONE loyalty program and FanCash, the currency of sport — delivering personalized experiences to over 100 million fans worldwide. Fanatics holds partnerships with over 900 sports properties, from professional leagues and players’ associations to teams, colleges and retail partners; over 7,000 athletes and celebrities; and over 2,000 retail locations, including all Lids stores. Backed by a team of more than 22,000 employees, Fanatics is committed to relentlessly enhancing the fan experience. About the Team Launched in 2021, Fanatics Betting and Gaming is the online and retail sports betting subsidiary of Fanatics, a global digital sports platform. The Fanatics Sportsbook is available to 95% of the addressable online sports bettor market in the U.S. Fanatics Casino is currently available online in Michigan, New Jersey, Pennsylvania and West Virginia. Fanatics Betting and Gaming operates twenty-two retail sports betting locations, including the only sportsbook inside an NFL stadium at Northwest Stadium. Fanatics Betting and Gaming is headquartered in New York with offices in Denver, Leeds and Dublin. We are seeking a Data Scientist I to join our growing Data Science organization on our newly formed Decision Science team. The role reports into the Decision Science Manager and will focus on creating insight to drive the growth of the business, partnering closely with senior commercial stakeholders and their teams. Supporting commercial and analytics stakeholders with high level Sportsbook & Casino strategy will be a top priority for this Data Scientist, as well as providing ongoing analysis and recommendations to stakeholders. Responsibilities Develop a deep understanding of the iGaming ecosystem, encompassing both Sportsbook and Casino products, operations, and player behavior. Build strong relationships with stakeholders across both Sports and Casino business units, serving as a key technical contributor to driving total commercial performance. Collaborate with Data Scientists and Analysts to implement and refine scalable solutions for complex iGaming business problems. Contribute to the development, deployment, and iterative improvement of automated personalization and promotion engines across the iGaming suite. Build and maintain sophisticated Lifetime Value (LTV) models to improve player segmentation and marketing efficiency. Remain current on technology, machine learning trends, and competitive shifts within the global sports betting and gaming industry. Experience and Skills A minimum of 2+ years proven experience in a data science or advanced analytics role. Degree in a quantitative field, e.g., Mathematics, Physics, Statistics, Engineering, or Computer Science, Economics. Strong SQL proficiency and strong proficiency in Python, with experience building and validating machine learning models. Strong understanding of statistics concepts such as regression, clustering, and A/B testing in high-growth environments. Expertise in experimental design and causal inference, including A/B/n testing, quasi-experiments, and uplift modeling to determine true incremental value. Demonstrated ability to partner with stakeholders, earning trust through data-driven insights and clear communication. Outcome-oriented and data-driven; comfortable navigating fast-paced, high-growth environments. Preferred but not required Experience experimenting with Generative AI solutions (e.g., LLM-based analysis, automation, or insight generation) and identifying opportunities to apply them within a commercial analytics environment. Previous experience in iGaming (Sportsbook or Casino), or previous experience with Customer Lifetime Value models is a significant plus. Depending on the role, your interview and onboarding experience may include in-person components, such as onsite interviews or Launching into Better: LIVE—a multi-day cultural immersion in New York City for full-time, non-seasonal hires. These sessions are designed to build connection and bring our culture to life, though specific travel and participation requirements will be confirmed based on your role and location. Your recruiter will provide clear guidance at each stage of the process. For information about our benefits, please visit https://benefitsatfanatics.com/ Ranges will change based on country and state of residence, which are reflected in Geographical Zones defined by Fanatics Betting and Gaming. The range incorporates all of our Geographical Compensation Zones and is subject to change as the Zone associated with the actual offer is confirmed. In addition to the base and bonus, full-time employment, and more. For information about our benefits, please visit https://benefitsatfanatics.com/ Salary Range €47.300 — €59.400 EUR By submitting your application, you agree to our terms of service and acknowledge you have read our Candidate Privacy Policy. Fanatics will never ask candidates for money, banking information, or other sensitive personal information as part of the interview process. If you receive a suspicious message claiming to be from Fanatics recruiting, please do not respond and report it here .

Location: Remote, United States GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role This is an overnight shift role with working hours of 12:00am - 7:00am EST. As a Support Engineer on our U.S. Government Support Engineering team, you operate at the critical intersection of Support and Engineering, enabling public sector organizations and United States government agencies to run GitLab in some of the most secure and constrained environments in the world. Your work directly supports national security missions, including customers operating within FedRAMP-authorized, air-gapped, and classified or semi-classified environments where traditional troubleshooting approaches are not always possible. In this role, you will engage deeply with GitLab through the command line; analyzing logs, system behavior, and application performance with strong Linux fundamentals and an understanding of how GitLab’s components interact end-to-end. You may partner with Product and Engineering to reproduce and document edge-case defects using sanitized or redacted data, or contribute directly to the product by opening merge requests that resolve customer-impacting issues. Beyond resolving individual cases, you’ll help strengthen GitLab by improving documentation, support workflows, and institutional knowledge, ensuring that lessons learned in highly regulated environments benefit the broader platform; all while working in a fully remote, highly collaborative environment built on trust, autonomy, and shared ownership. Some examples of our projects: A tool to quickly analyze strace output A solution to capture the state of a customer’s server for easier troubleshooting A functionality to ChatOps to make it easier to identify user accounts on GitLab.com What you’ll do Collaborate closely with public sector customers, including U.S. government agencies, the Department of War, and Intelligence Community organizations, to diagnose, troubleshoot, and resolve complex issues in GitLab deployments operating under strict security, compliance, and operational constraints. Perform deep, hands-on technical investigations using Linux command-line tooling and GitLab internals to analyze logs, system performance, and application behavior, often with limited telemetry or incomplete datasets. You will trace issues across infrastructure, application, and code paths to identify root causes, recommend mitigations, and drive durable fixes; frequently partnering with GitLab Product, Development, and Infrastructure teams to ensure outcomes that meet both mission and platform reliability requirements. Create and update clear, reusable documentation and support content based on real customer interactions to improve self-service and reduce repeated issues. Participate in regular pairing sessions with other Support Engineers and act as a stable counterpart to cross-functional teams to share knowledge and improve support processes. Contribute to building and refining internal support tools and workflows, including automation and troubleshooting utilities, to make diagnosing and resolving issues more efficient. Participate in weekday and weekend on-call rotations, providing timely emergency support for self-managed customers operating in restricted and compliance-focused environments. Support the growth of the team by reviewing applications and assessments, and participating in interviews and hiring decision discussions. What you’ll bring Due to government security requirements, you must be a United States Citizen (defined as any individual who is a citizen of the United States by law, birth, or naturalization) to be eligible for this position Experience managing customer-facing cases across the full support lifecycle, from initial inquiry and triage through reproduction, escalation, and resolution Strong Linux systems administration knowledge, with the ability to troubleshoot performance and configuration issues in complex environments Familiarity with AI/LLM-powered developer tooling and gateway architectures (for example GitLab Duo, AI gateway configurations, or similar model-serving/proxy layers), including how they're deployed and troubleshot in self-managed or air-gapped environments Ability to use scripting languages (preferably Ruby or Bash) and work within model-view-controller frameworks (preferably Ruby on Rails) to investigate and resolve issues Practical experience with Git and continuous integration/continuous delivery (CI/CD) workflows Skill in creating and maintaining clear, accurate support content and technical documentation Ability to explain complex technical topics in a clear, empathetic way to customers and coworkers with varying technical backgrounds Familiarity with DevOps practices and container-orchestration technologies such as OpenShift and Kubernetes Understanding of common information security and compliance concepts and controls (for example DISA STIG and SELinux), and eligibility to work on United States federal customer environments as required for this role About the team At GitLab Federal, LLC, the U.S. Government Support Engineering team partners with public sector organizations and United States government agencies to support GitLab in highly secure, mission-critical environments. Our work directly enables national security outcomes, supporting customers across the Intelligence Community, Department of War, and other federal, state, and local government entities operating within regulated and restricted boundaries. We are embedded within Support Engineering and work closely with Product, Development, Infrastructure, Customer Success, and Sales to solve complex, high-impact technical challenges. Our team frequently dives into code, logs, and architectural behavior to understand not just what is failing, but why; especially in environments with sanitized data, limited visibility, and strict compliance controls such as FedRAMP. We collaborate asynchronously across time zones and through structured pairing and discussion to share knowledge, strengthen solutions, and continuously improve how GitLab supports secure, air-gapped, and regulated deployments, while upholding GitLab's standards for rigor, transparency, and technical excellence. The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity . Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. United States Salary Range $95,200 — $160,800 USD How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: San Francisco Workplace: OnSite ABOUT US: AI NEEDS A NEW INFRASTRUCTURE LAYER. WE'RE BUILDING IT AT MODAL. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation. Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. THE ROLE: Modal’s Inference Runtime team owns the container runtime stack used to run inference and training workloads across our fleet. We work at the boundary of Linux, containers, filesystems, storage, GPU drivers, and distributed systems. Our goal is to make demanding ML workloads start quickly, run efficiently, and remain securely isolated, whether they use a single GPU, hundreds of gigabytes of memory, or multiple GPUs connected with RDMA. We’re looking for a systems engineer who enjoys working deep in the stack. You’ll build production runtime infrastructure in Rust and Go, diagnose difficult Linux and performance problems, and help determine the architecture of Modal’s container platform. You’ll also work closely with maintainers of gVisor and contribute to the runtime itself when the right fix belongs upstream. WHAT YOU'LL WORK ON: - Make container startup, checkpoint, and restore dramatically faster for large inference and training workloads - Build multi-GPU and accelerator-aware snapshotting, including efficient handling of GPU memory and RDMA-enabled workloads - Design zero-copy and low-copy data paths between container memory, filesystems, storage, and Modal’s runtime - Optimize large snapshot pipelines using techniques such as parallel uploads, direct I/O, incremental snapshots, and more efficient memory handling - Improve container image and filesystem performance across EROFS, FUSE, page caches, overlay filesystems, and remote storage - Extend our sandboxed runtime to support new GPUs, drivers, profiling tools, and device capabilities across NVIDIA and AMD hardware - Debug complex failures involving system calls, virtual memory, process lifecycle, kernel behavior, GPU drivers, and container isolation - Safely roll out runtime and kernel changes across a heterogeneous fleet using compatibility controls, scheduling constraints, feature flags, and observability - Work across the runtime, scheduler, storage, and GPU infrastructure, and take ambiguous production problems from investigation through deployment YOU MAY BE A FIT IF: - You have strong Linux systems knowledge, particularly processes, virtual memory, filesystems, system calls, scheduling, namespaces, cgroups, and signals - You’ve built or debugged container runtimes, sandboxes, the Linux kernel, or similarly low-level infrastructure - You have strong programming ability in Rust, Go, or another systems language, and an interest in becoming productive in both Rust and Go - You’ve profiled and improved systems where memory movement, I/O, synchronization, or kernel interactions dominate performance - You’re comfortable debugging across abstraction boundaries, from application behavior down through runtimes, drivers, and the kernel - You can turn loosely defined production problems into well-designed, reliable systems - You want to own important infrastructure and work closely with both internal teams and customers NICE-TO-HAVE: Any of the following would be helpful, but none is required: - gVisor, runsc, runc, OCI runtimes, seccomp, or checkpoint/restore systems - Linux kernel development, virtualization, sandboxing, kernel modules, or device proxying - CUDA, ROCm, GPU drivers, accelerator virtualization, or GPU profiling - RDMA and high-performance networking - FUSE, EROFS, direct I/O, mmap, page-cache behavior, or storage engines - Large-memory or multi-GPU inference and training systems - Contributions to open-source systems software Prior gVisor or machine-learning experience is not required. We care more about strong systems fundamentals, curiosity, and the ability to learn unfamiliar parts of the stack. WHY THIS ROLE: The container runtime is directly on the critical path for inference performance. Improvements here can substantially reduce cold starts, increase token throughput, unlock new accelerator types, and make previously impractical workloads possible. This is an opportunity to work on unusually deep systems problems with immediate production impact. You’ll have room to shape the architecture, contribute to open-source runtime technology, and take ownership of foundational infrastructure used by every inference and training workload on Modal.

Location: San Francisco Head of Research Our work informs teams at every level of the company and drives key roadmap decisions. We partner with Product Design, Product Management, Data Science, and Engineering, as well as business and marketing teams, to get deep insights about our customer's behaviors and attitudes, translating them into actionable recommendations across the company. We think big about new areas, test developing concepts, and evaluate products and services once they’ve rolled out. We are looking for a Head of Product Research to lead a high-impact, mixed-method research practice spanning UX Research and Quantitative Market Research (QMR) at a pivotal moment in the company's evolution. In this role, you will build and lead a research function that generates actionable understanding of our users and their unmet needs, partnering across Product, Design, Engineering, and go-to-market teams to ensure insights are heard, applied, and reflected in strategic decisions. This role is based in our San Francisco office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements. What you’ll achieve Define and own the research agenda mapped to our highest-priority product and business questions, setting the standard for how insights translate into decisions from framing through synthesis, storytelling, and follow-through. Champion a mixed-method approach—selecting qualitative, quantitative, or combined methods based on the strategic question—and serve as a thought partner to Design, Product, Data Science, and Engineering leadership. Lead and unify a combined UX Research and Quantitative Market Research (QMR) function, ensuring coordinated methodology and a holistic view of user and market insight. Hire, develop, and retain a high-performing team across experience levels, cultivating a culture of craft, curiosity, accountability, and mentorship. Lead the adoption and operational guidelines of modern AI tools to increase research velocity and coverage without sacrificing rigor. Own the strategy and facilitation of our Beta program to build structured design partnerships with key customers that foster actionable feedback and co-development. Define and maintain a company-wide usability framework embedded into the development process to ensure quality is continuously assessed. Build scalable research operations across tooling, panel management, knowledge management, and recruitment infrastructure to prioritize resources effectively. About you Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making. Proven experience leading and scaling user research teams in a complex product environment, with deep expertise in qualitative and quantitative mixed-method research. Demonstrated track record of connecting user and market insights directly to product strategy, roadmap decisions, and business outcomes. Background navigating complex B2B or B2B2C contexts with multiple user types and cross-functional stakeholder audiences. Strong executive presence with an ability to distill complex findings into clear, compelling narratives for cross-functional leadership. Proven ability to build operational infrastructure, recruitment frameworks, and team structures from the ground up. Familiarity with AI tools and their evolving role within product landscapes and research methodologies. At Asana, we're committed to building teams that include a variety of backgrounds, perspectives, and skills, as this is critical to helping us achieve our mission. If you're interested in this role and don't meet every listed requirement, we still encourage you to apply. What we’ll offer Our comprehensive compensation package plays a big part in how we recognize you for the impact you have on our path to achieving our mission. We believe that compensation should be reflective of the value you create relative to the market value of your role. To ensure pay is fair and not impacted by biases, we're committed to looking at market value which is why we check ourselves and conduct a yearly pay equity audit. For this role, the estimated base salary range is between $350,000-$425,000. The actual base salary will vary based on various factors, including market and individual qualifications objectively assessed during the interview process. The listed range above is a guideline, and the base salary range for this role may be modified. In addition to base salary, your compensation package may include additional components such as equity, sales incentive pay (for most sales roles), and benefits. If you're interviewing for this role, speak with your recruiter to learn more about the total compensation and benefits for this role. We strive to provide equitable and competitive benefits packages that support our employees worldwide and include: Mental health, wellness & fitness benefits Career coaching & support Inclusive family building benefits Long-term savings or retirement plans In-office culinary options to cater to your dietary preferences These are just some of the benefits we offer, and benefits may vary based on role, country, and local regulations. If you're interviewing for this role, speak with your recruiter to learn more about the total compensation and benefits for this role. #LI-Hybrid About us Asana is a leading platform for human + AI collaboration. Millions of teams around the world rely on Asana to achieve their most important goals, faster. Asana has been named to Fortune's Best Workplaces for 7+ years and recognized by Fast Company, Forbes, and Gartner for excellence in workplace culture and innovation. We offer an exceptional office-centric culture while adopting the best elements of hybrid models to ensure that every one of our global team members can work together effortlessly. With 13+ offices all over the world, we are always looking for individuals who care about building technology that drives positive change in the world and a culture where everyone feels that they belong. We believe in supporting people to do their best work and thrive. Our goal is to ensure that Asana upholds an environment where all people feel that they are respected and valued, whether they are applying for an open position or working at the company. We provide equal employment opportunities to all applicants without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by law. Join Asana’s Talent Network to stay up to date on job opportunities and life at Asana.