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Job Description Provides OB/GYN care to clients of BMS@Ashford, which include preventive activities such as screenings, comprehensive health assessments, diagnosis and treatment of minor, acute and chronic medical conditions. RESPONSIBILITIES AND DUTIES: • Completes high quality adult health care examination (including pelvic examinations, and pap smears) through interview and examination of patients, within five days (5) of referral by Social Services staff or review of same; formulates diagnosis and institutes treatment based on objective data gathered., • Provides episodic care and first aid., • Annual medical history and physical examination., • Ongoing care of clients as needed., • Tuberculosis skin testing and all relevant associated procedures, (e.g., counseling/educating, implantation, reading, referral for chest x-rays and sputum induction when indicated, monitoring compliance with annual TB screening evaluation and, as applicable and in coordination with New York City Department of Health (“DOHMH”) or primary medical provider, adherence to anti-tubercular medication regimen). TST, or equivalent review, to be done on admission and on an annual basis thereafter, unless otherwise indicated., • Specimen collection for laboratory testing (e.g., pap smear, on-site phlebotomy, urine sample collection, throat cultures and STD swabs)., • Writing of prescriptions or facilitating the obtaining of medications directly for a client., • Completion of requisite forms for placement in alternate facilities., • Referral mechanisms for primary and specialty health care, as appropriate (including radiology procedures)., • Immunizations., • HIV pre and post-test counseling and testing., • Testing (urine toxicology) for illicit drug use., • Monitoring, with patient’s participation, of chronic diseases (i.e., weekly fingerstick for glc, weekly BP checks, as indicated)., • Implementing a system of medication administration or supervised self-administration for select clients who are unable to medicate themselves., • Oversight, coordination of care, and liaison, on behalf of clients, with the Medical Review Team/Program Referral Unit, hospital inpatient unit staff, VNS, dialysis centers, DOHMH (Division of Immunization, Division of Communicable Disease, Division of TB Control, etc.) and Department Medical Director and staff., • The Contractor shall participate in monthly case conferences with Shelter staff. The Contractor shall work closely with social services unit and the Shelter Director in the coordination of case conferences, evaluations and referrals for services., • Gynecological examinations, including PAP smears., • Participates in regular chart reviews and other activities consistent with the role as a primary care clinician maintaining a clinical practice within BMS. Performs all procedures and duties applicable to private practice in an office setting., • Participates in on-call schedule for the requirements of BMS@Ashford., • Works with the other members of the BMS@BWS team to promote and maintain a high quality of medical care for the patients of the satellite health center., • Shall assess the client, stabilize, if possible, and provide medical guidance to Shelter staff during medical emergencies. This may entail escorted visits to the client’s dorm and well as direct interaction and referral, preferably written, to Emergency Medical Services (“EMS”). Review of EMS calls during off-hours and attempt at follow-up of clients returning from the hospital are expected. Abides by the Oath of Hippocrates in rendering health care to the community. Keeps patient and doctor's relationship confidential. Maintains good moral conduct and professional ethics., • Supervision of Patient Care Associate., • Participates in CQI and JCAHO operational activities’ including execution of performance improvement projects and involvement in JCAHO survey preparation activities as needed., • Licensed to practice as a WHNP in New York State., • Experience and/or training in a community health center setting, • Strong interpersonal skills, • Strong problem-solving skills, • Bilingual (Spanish, French, Haitian Creole) a plus, • Computer literacy/proficiency required., • Board Certified and or Board eligible., • Minimum of 2 years' experience. Compensation details: 130000-137592 Yearly Salary PIa1979d44aff4-25405-39322788

Responsibilities: • Prepares and administers anesthetic agents to patients to desensitize them to permit the performance of medical or surgical procedures., • Performs pre-anesthesia evaluation of the patient to ascertain physiological and psychological factors that influence the selection of the anesthetic agent and the formulation of the plan of anesthetic management., • Monitors the patient in the operating room to maintain the patient in a homeostatic condition and to assure that unnecessary injuries are not inflicted on the patient., • Records anesthetic information on the anesthesia chart to provide a permanent record necessary for the care of the patient, to provide material for teaching, for study, and to establish a medical-legal record., • Provides clinical supervision or guidance of nurse anesthesia students, paramedical, and medical students to contribute to their clinical training., • Responds to emergencies., • Manages Human Resources activities of the department in regard to recruiting and selection, hiring and termination, training, professional development, mentoring, counseling, performance evaluations, and salary planning. Requirements & Qualifications: • Certification as a Nurse Anesthetist (CRNA)., • Current New York Licensure as a Registered Nurse and APRN., • Current American Association of Nurse Anesthetists (AANA) certification., • BLS, ACLS, and/or other specialty certifications as required by the department., • A minimum of 6 months of experience in anesthetizing pediatric patients is desirable., • Competency in pediatric airway device placement and vascular access., • Experience in critical and acute care areas, especially pediatric or neonatal., • Familiarity with EKG, arterial, central venous, and pulmonary artery pressure monitoring., • Skilled in respiratory management and blood gas analysis. DirectShifts is an Equal Opportunity Employer All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, or any other characteristic protected by law. Your Right to Work In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification document form upon hire.

Access Healthcare is seeking a travel nurse RN CVICU for a travel nursing job in Passaic, New Jersey. Job Description & Requirements • Specialty: CVICU, • Discipline: RN, • Duration: 13 weeks, • 36 hours per week, • Shift: 12 hours, days, • Employment Type: Travel There is a need for ICU Critical Care for Open heart cases, 3 RNs for Day shift and 3 RNs for night shift at the rate of $90. Requirements: Needs Open Heart Experience. Should be able to do general ICU but also recover OH Cases. No Guaranteed hours as this is a per diem position. 1. Current and valid state RN License 2. BLS 3. ACLS 4. Minimum of one year as a staff RN in acute care hospital, critical care. 5. Critical Care RN (CCRN) Certification preferred 6. COVID vaccination/boosters preferred The Registered Nurse is responsible for the delivery of safe patient care utilizing the nursing process of assessment, planning, implementation, and evaluation. Provides direct patient care within the scope of practice. The Registered Nurse also directs and guides patient/family teaching and activities of other nursing personnel while maintaining standards of care in the ICU. The Registered Nurse is directly responsible and accountable for the care given to his/her assigned patients; He/She communicates with the physician about changes in the patient’s clinical condition including hemodynamic monitoring, results of diagnostic studies and abnormal results and symptomatology. Is able to respond quickly and accurately to changes in condition and/or response to treatment. Maintains patient privacy and confidentiality. Access Healthcare Job ID #5-PHS-4263. Pay package is based on 12 hour shifts and 36 hours per week (subject to confirmation) with tax-free stipend amount to be determined. About Access Healthcare Access Healthcare aims to provide superior service to our nursing family by providing around the clock support, competitive pay packages and an unmatched benefits package! Unlike other agencies, we offer a true family feel and work with you to find the placement that is right for you. We offer one of the top leading pay packages in the industry and we are ready to get you the money you deserve! Access Healthcare was founded by two travel nurses, Danielle and Diego, who had a dream and a shared vision of creating an agency which all nurses would want to work with. Our passion has led us to where we are today as one of the top 10 agencies in our home state of New Jersey, with access to contracts in all 50 states! We encourage you to join our team and we cannot wait to get to know you!

Certification Details • BLS, • ACLS, • Current and valid state RN LicenseJob Details, • ICU Critical Care for Open heart cases., • Responsible for delivery of safe patient care utilizing nursing process of assessment, planning, implementation, and evaluation., • Provides direct patient care within scope of practice., • Directs and guides patient/family teaching and activities of other nursing personnel while maintaining standards of care in ICU., • Communicates with physician about changes in patient’s clinical condition including hemodynamic monitoring, diagnostic studies, abnormal results and symptomatology., • Able to respond quickly and accurately to changes in condition and/or response to treatment., • Maintains patient privacy and confidentiality.Job Requirements, • Current and valid state RN License., • BLS certification required., • ACLS certification required., • Minimum of one year as a staff RN in acute care hospital, critical care., • Open Heart Experience required., • Critical Care RN (CCRN) Certification preferred., • COVID vaccination/boosters preferred.Schedule Information, • Day shift and night shift positions available., • No guaranteed hours as this is a per diem position.Unit Specific Information, • Position is for CVICU (Cardiovascular Intensive Care Unit)., • Care involves open heart cases and general ICU critical care.Additional Details, • Prime Basic Pharmacology Exam must score 80% or higher., • Prime Basic Rhythm Interpretation Screening must score 80% or higher., • COVID-19 vaccines and booster required or declination completed., • Proof of MMR immunity required., • Annual Respirator fit test required., • Hepatitis B vaccination required., • Influenza vaccine or declination required (Nov 1, 2025 - Mar 31, 2026)., • TB Test required., • Driver's License, State ID, or Passport required., • Varicella vaccination/titer showing immunity required., • Tdap vaccination required., • Physical/Health Statement annually required, must state clear to work., • National Criminal Background Check within one year of start date required., • Prime Specialty Exam must score 80% or higher., • Prime Skills Checklist required., • Prime Core Competencies Exam must score 80% or higher., • Prime Agency Attestation required., • Prime SAM/EPLS search required., • Prime Form I-9 (Employment eligibility verification) required., • Prime Job Description signed by employee required., • DCI/BVP for Workplace Violence Prevention required., • Prime Drug Screening (minimum 10-panel test) within 60 days of start required.

Job Description Objective: Reporting to the Director, Programs – Headstart, the Manager, Programs – Education/Site Supervisor is responsible for providing direct supervision to the Department of Early Childhood, Early Head Start, and Head Start teachers. This role oversees the monitoring and implementation of federal and local standards as well as the administration and development of program operations. The Site Supervisor acts as a liaison between the programs and the policy council, board and community; and ensures the educational requirements are being met. In addition, the Site Supervisor informs HS Director, Operations, and Admin of any health and safety concerns within the facility. 1. Provide leadership and guidance to staff in the assessment, intervention, and delivery of services to children and families., 2. Support, facilitate, and continuously improve program services in alignment with Head Start Board and Policy Council–approved policies., 3. Lead program planning, organization, staffing, and daily operations to ensure high-quality service delivery., 4. Participate in the recruitment, hiring, supervision, and evaluation of staff, including annual formal and regular informal performance reviews., 5. Maintain appropriate program staffing structures, always including compliance with required adult–child ratios., 6. Develop, implement, and evaluate EHS and HS home and center-based policies and procedures, recommending updates as needed., 7. Design and oversee technical assistance, training, and professional development plans based on identified staff and program needs., 8. Manage fiscal operations, budgeting, statistical data, and reporting in compliance with local, state, and federal regulations., 9. Ensure implementation of Headstart performance standards and integration of multicultural principles into program practices., 10. Collaborate with internal leadership teams and community partners to support comprehensive services, outreach, recruitment, and family engagement., 11. Fulfill mandated reporting responsibilities and intervene in the prevention of child abuse and neglect, in accordance with federal and state law. Company DescriptionA wholesaler company located in Whitestone, Queens.A wholesaler company located in Whitestone, Queens.

About NYC Health + Hospitals NYC Health + Hospitals is the largest public health care system in the nation. We are a network of 11 hospitals, trauma centers, neighborhood health centers, nursing homes, post-acute care centers, and correctional health services. We are a home care agency and a health plan, MetroPlus. Our health system provides essential services to 1.4 million New Yorkers every year in more than 70 locations across the city's five boroughs. Our diverse workforce of more than 42,000 employees are uniquely focused on empowering New Yorkers. NYC Health + Hospitals/Correctional Health Services is one of the nation’s leading correctional health care systems in quality of and innovations to care, and access from pre-arraignment through compassionate release. In-jail services include medical, nursing, mental health, substance use treatment, social work, dental and vision care, discharge planning, and reentry support. In addition to providing direct patient care in the jails, CHS leverages the resources of the nation’s largest municipal health care system to help discharged patients successfully return to their communities. CHS is also a pivotal partner in New York City’s criminal justice reform efforts. Duties & Responsibilities Approximately 25% of new admissions per year to the NYC jail system will receive care on the mental health service. The service strives to provide safe, holistic and evidence-based therapeutic interventions for the diverse range of mental health issues that face the population, from serious mental illness to the natural struggles that accompany incarceration. The service provides some of the most comprehensive and unique treatment modalities in the country, including specialty housing units for individuals with serious mental illness, a 24-hour on-call psychiatric service, robust creative arts programming, a strong DBT training program, clinics in each of the facilities, substance use treatment, integrated re-entry services, and relationships with multiple training institutions throughout the city. The Unit Chief is the mental health administrative lead in each facility or designated area, including general population and therapeutic housing units. Under the direction of the Director of Mental Health Administration, this full-time position coordinates, and helps manage, mental healthcare delivery in one or several of the jail facilities in New York City. This includes ensuring provision of services within the timeframes and quality benchmarks outlines by CHS MH policies, providing administrative support to staff who are assigned to their clinical area, maintenance of patient records and compliance with monitoring requirements. S/he will act as the principle administrative liaison between mental health disciplines, as well as pharmacy, medical and nursing. As a member of the facility management team, the Unit Chief will collaborate closely with the Department of Correction (DOC) leadership and CHS Operations in order to ensure service delivery and meet patient needs. A major component of this position will be providing effective, inspiring, and clinically-informed administrative leadership and organization. Responsibilities Include: • Manage the daily operations of the program and site; ensure that patient and program goals are met in accordance with established H+H policies and procedures, • Ensure adequate multi-disciplinary mental health staffing in the facility, • Coordinate therapeutic services; oversee the referral, intake and assignment of cases, • Participate in relevant quality improvement initiatives; assure completion and accuracy of all data completion, report progress and plan of action in monthly QI meeting, • Provide orientation and training to all new hires, • Provide administrative and clinical support to mental health staff; proactively identify and resolve performance issues and manage personnel issues with discipline supervisors, • Support staff development; teach and ensure completion of departmental trainings designed to enhance the skills of staff relevant to their position, • 10% of time must be devoted to direct clinical care, some of which may include intake evaluation, suicide watch assessment, and clinical follow up’s as needed., • Organize and facilitate monthly mental health staff meetings with other MH discipline leadership, • Attend and actively participate in multiple interdisciplinary meetings per week, both within the mental health department and with other services, including DOC, • Supervise the collection and appropriate dissemination of statistical reports, staffing patterns, bed utilization, timesheets, payroll activities and HR paperwork., • Maintain on-call availability for urgent or emergent administrative issues that arise off-hours, • Other duties as assigned by the Director of Mental Health Administration or her/his designee Minimum Qualifications 1. Possession of a valid license and current registration to practice in a mental health discipline issued by the New York State Education Department (NYSED); and, 2. Three (3) years of progressively responsible experience in a health care setting or regulatory agency administration, with an emphasis on development and evaluation of mental health delivery services; one (1) year of which must have been in an administrative, managerial or supervisory capacity. Department Preferences • Excellent interpersonal communication skills and ability to work collaboratively with other disciplines, • Experience with quality improvement practices in health care settings, • Strong leadership skills with ability to identify staff needs and provide mentorship and education to suit those needs, • Excellent organizational skills, including working knowledge of database and spreadsheet design and maintenance, • Strong clinical skills working with individuals with mental illness Benefits NYC Health and Hospitals offers a competitive benefits package that includes: • Comprehensive Health Benefits for employees hired to work 20+ hrs. per week, • Retirement Savings and Pension Plans, • Paid Holidays and Vacation in accordance with employees' Collectively bargained contracts, • Loan Forgiveness Programs for eligible employees, • College tuition discounts and professional development opportunities, • College Savings Program, • Union Benefits for eligible titles, • Multiple employee discounts programs, • Commuter Benefits Programs

NYC Health + Hospitals is the largest public health care system in the nation. We are a network of 11 hospitals, trauma centers, neighborhood health centers, nursing homes, post-acute care centers, and correctional health services. We are a home care agency and a health plan, MetroPlus. Our health system provides essential services to 1.4 million New Yorkers every year in more than 70 locations across the city's five boroughs. Our diverse workforce of more than 42,000 employees are uniquely focused on empowering New Yorkers. NYC Health + Hospitals/Correctional Health Services is one of the nation’s leading correctional health care systems in quality of and innovations to care, and access from pre-arraignment through compassionate release. In-jail services include medical, nursing, mental health, substance use treatment, social work, dental and vision care, discharge planning, and reentry support. In addition to providing direct patient care in the jails, CHS leverages the resources of the nation’s largest municipal health care system to help discharged patients successfully return to their communities. CHS is also a pivotal partner in New York City’s criminal justice reform efforts. This full-time position reports either directly or through a Program Director to the Clinical Director of Psychiatry in the Division of Correctional Health Services and is responsible for the clinical oversight, management, and innovative development in specific mental health treatment areas, including standard mental observation (MO) units, specialty MO units and general population clinic settings in one of the 12 jail facilities in New York City. Approximately 25% of new admissions per year to the NYC jail system will receive care on the mental health service. The service strives to provide safe, holistic and evidence-based therapeutic interventions for the diverse range of mental health issues that face the population, from serious mental illness to the natural struggles that accompany incarceration. The service provides some of the most comprehensive and unique treatment modalities in the country, including specialty housing units for individuals with serious mental illness, a 24-hour on-call psychiatric service, robust creative arts programming, a strong DBT training program, clinics in each of the facilities, substance use treatment, integrated re-entry services, and relationships with multiple training institutions throughout the city. The Clinical Supervisor is responsible for maintaining the clinical integrity of the specific program or housing area to which they are assigned, including ensuring that all clinicians are providing appropriate and timely clinical interventions and documentation. Depending on the treatment area, s/he manages patient admissions and discharges, monitors and engages in treatment, oversees quality assurance, manages on-going training and education for treatment-area staff, and performs other managerial administrative tasks including liaising with DOC. In addition to direct supervisory and management responsibilities, the Clinical Supervisor also provides direct care to a small caseload of complex patients and is responsible for the accompanying medical record documentation. Clinical Supervisors who are qualified for and interested in providing care on the PACE or CAPS units (specialty MO units) for individuals with serious mental illness will report to a Program Director for direct supervision. Responsibilities Include: • Formulate and implement procedures for operating, monitoring, and evaluating mental health programs and services in assigned area of responsibility, • Develop and lead staff training programs and exercises to maintain a culture of learning and clinical excellence, • Serve as the clinical leader for the assigned area of responsibility and provide weekly individual and in-person supervision for all assigned mental health clinical staff; review diagnostic, treatment, and level of care decisions and documentation; ensure adherence to policies and procedures; and conduct clinical case conferences, • Lead daily multi-disciplinary meetings with all mental health staff in the assigned area of responsibility, including DOC when appropriate., • Provide quality assurance and quality improvement as directed by the Clinical Director of Psychiatry, • Coordinate re-entry services with the social work staff in the assigned area of responsibility, • Meet regularly with the Clinical Director of Psychiatry or assigned supervisor to provide meaningful input into program design and policy formation, • Personnel management of the clinical staff, with assistance from the Clinical and/or Medical Directors as needed, including recruiting, mentorship, supervision, and disciplinary procedures, • 20% of time must be devoted to direct clinical care, some of which may include supervision of trainees. Timely and clear documentation of supervision and clinical care is expected. Minimum Qualifications: 1. Possession of a valid license and current registration to practice in a mental health discipline issued by the New York State Education Department (NYSED); and, 2. Three (3) years of progressively responsible experience in a health care setting or regulatory agency administration, with an emphasis on development and evaluation of mental health delivery services; one (1) year of which must have been in an administrative, managerial or supervisory capacity. Department Preferences • Ph.D. or Psy.D. in Psychology and license to practice as a psychologist Ph.D. or Psy.D. in Psychology and license to practice as a psychologist, • Excellent interpersonal communication skills and ability to work collaboratively with other disciplines and agencies e.g. NYC DOC, • Strong leadership skills with ability to identify staff needs and provide mentorship and education to suit those needs, • Excellent diagnostic assessment and treatment skills, • Three years clinical experience working with individuals with mental illness, • Experience supervising staff making clinical decisions, • An equivalent and satisfactory combination of education and experience may be considered NYC Health and Hospitals offers a competitive benefits package that includes: • Comprehensive Health Benefits for employees hired to work 20+ hrs. per week, • Retirement Savings and Pension Plans, • Paid Holidays and Vacation in accordance with employees' Collectively bargained contracts, • Loan Forgiveness Programs for eligible employees, • College tuition discounts and professional development opportunities, • College Savings Program, • Union Benefits for eligible titles, • Multiple employee discounts programs, • Commuter Benefits Programs

NYC Health + Hospitals is the largest public health care system in the nation. We are a network of 11 hospitals, trauma centers, neighborhood health centers, nursing homes, post-acute care centers, and correctional health services. We are a home care agency and a health plan, MetroPlus. Our health system provides essential services to 1.4 million New Yorkers every year in more than 70 locations across the city's five boroughs. Our diverse workforce of more than 42,000 employees are uniquely focused on empowering New Yorkers. NYC Health + Hospitals/Correctional Health Services is one of the nation’s leading correctional health care systems in quality of and innovations to care, and access from pre-arraignment through compassionate release. In-jail services include medical, nursing, mental health, substance use treatment, social work, dental and vision care, discharge planning, and reentry support. In addition to providing direct patient care in the jails, CHS leverages the resources of the nation’s largest municipal health care system to help discharged patients successfully return to their communities. CHS is also a pivotal partner in New York City’s criminal justice reform efforts. The Quality Assurance (QA) Radiological Technologist position encompasses responsible, administrative and clinical activity of varying degrees of latitude. Clinical level judgement is needed in the daily supervision of radiological functions and patient care, and departmental projects. Responsibilities include: • Review exam orders, consult with radiologist, schedule patients and arrange for transportation as indicated., • Identify patient and document all information pertinent to final report in the RIS and on images (PACS)., • Prepare all patients (infants, children, adolescents, adults and geriatric) for radiological procedures requested by the clinician. Arrange for proper protection of patients, public and staff from infectious diseases/materials., • Perform all general diagnostic imaging and routine examination in CT and Angiography., • Assists in performing daily checks of radiographic imaging equipment, immobilization devices and other necessary accessories., • Enters data and maintains documents and logs as required and mandated by the department QA guidelines and various regulatory agencies., • Maintains adequate stocks of supplies and materials needed for use in the department., • Checks equipment for defects prior for use and assures proper use of such equipment through instruction and review., • Report any unexpected patient incidents in accordance with the occurrence report protocol., • Maintain and exercise all mandated radiation safety regulations. Maintain basic care of all the imaging equipment. All malfunctions are to be reported to management staff whether mechanical, electrical or suspect and service request documentation completed. Maintain a clean and safe work environment for both patients and staff., • Perform other duties as deemed necessary (by supervisory or administrative staff) in the event of emergencies or disasters., • Continue professional growth and development of job-related skills on an ongoing basis. Participate in continuing education activities., • Ensure all examinations are accessioned, documented and sent to PACS for reading. Monitor PACS and RIS incomplete worklists to ensure all exams are completed., • In accordance with HIPAA (the Health Insurance Portability and Accountability Act), staff members will exercise due diligence in ensuring patient privacy and confidentiality., • Identifies activities that the network has implemented to promote patient safety and takes all necessary precautions to ensure a safe environment for patients, visitors and staff. In addition to the Radiology Technologist job functions, the QA Technologists is responsible for the following: • Organize and file maintenance reports for each building in regards to dentistry and radiology x-ray equipment and ensure dentistry and x-ray equipment follow the Department of Health codes, policies and procedures., • Participates in quality assurance activities, including coordination, control and maintenance of technical equipment., • Establish a daily/weekly/monthly quality control routine for monitoring, evaluating, and maintenance of X-ray equipment to ensure optimal performance and stability., • Documenting and maintaining records for the quality control program in accordance with applicable regulations, legal requirements, accrediting agencies and recommendations from equipment manufacturers., • Performs research and participates in special projects involving evaluation of equipment and delivery of service., • Work with our radiologists to obtain updated documentation of primary diagnostic monitors., • Distribute/collect dosimeter badges from each employee/facility that works with x-ray equipment., • Recommends area assignment of personnel to coordinate activities within the department with other activities and services and represents the department in interdepartmental operations and meetings., • May be assigned duties and responsibilities of X-ray Director in regards to radiology department workflow. Minimum Qualifications: Assignment Level III 1. For Supervisory Assignments: a valid license and current registration to practice Diagnostic Radiography as a Radiologic Technologist issued by the NYSDOH; and two (2) years of Radiologic Technologist experience performing duties consistent with Assignment Levels I and II, one (1) year of which must have been in a supervisory capacity., 2. For Specialized Imaging Assignments: a valid license and current registration to practice Diagnostic Radiography as a Radiologic Technologist issued by the NYSDOH; and possession of a current advanced- level certification for the performance of these procedures. NYC Health and Hospitals offers a competitive benefits package that includes: • Comprehensive Health Benefits for employees hired to work 20+ hrs. per week, • Retirement Savings and Pension Plans, • Paid Holidays and Vacation in accordance with employees' Collectively bargained contracts, • Loan Forgiveness Programs for eligible employees, • College tuition discounts and professional development opportunities, • College Savings Program, • Union Benefits for eligible titles, • Multiple employee discounts programs, • Commuter Benefits Programs

The Methadone Counselor position provides counseling to individuals receiving integrated substance abuse treatment and primary care services at the Substance Abuse Treatment Program. Essential Functions: • Comprehensive psychosocial., • Instruct patients in program policies and procedures., • Development, implementation, and review of treatment plans., • Provision of substance abuse counseling to individuals, groups, and families. Counseling focusing on building motivation, educating, planning crisis intervention, relapse prevention and aftercare., • Coordination of comprehensive services within the clinic for patients on counseling caseload., • Monitoring of patients’ response to methadone medication treatment through individual counseling and toxicology review., • Conduct vocational /educational and learning needs evaluation in psychosocial and ongoing as indicated. Provide referral as needed., • Perform preliminary evaluation regarding mental health needs of patients on caseload (i.e. presence of psychiatric symptoms, suicidality, homicidality etc.), • Evaluate patient eligibility for entitlements (Public Assistance, SSI, Medicaid etc.) Refer patients to appropriate agencies when indicated., • Enter patient data into HRA/STARS computerized database., • Acts as liaison between patient and outside agencies, • Attend regularly scheduled meetings. i.e. IDC’s, staff meetings, morning reports, case management meetings, and other team meetings determined to be necessary., • Maintains required records on patients and updates progress notes as required. Ensures clinical chart contains necessary information regarding patient’s status and other information required by the program policies and regulatory agencies. Completes all required forms and treatment plans., • Assist patients with referral to other services and agencies determined to be necessary to the recovery process (i.e. shelters, detox units, legal counsel, etc.), • Give case presentations in supervision, IDC meetings, daily reports., • Ensure all counselor specific billable services are billed and perform follow-ups to billing (delinquent payments, obtaining information required to bill, confirming and updating billing information, etc.), • Attendance at seminars, trainings and grand rounds which are determined to be important to staff development., • Counselors will directly supervise the collection of toxicology samples for all patients as required by federal and state regulations., • Meet with family members, significant others and outside providers as determined to be necessary and appropriate for clinical management and care. Qualifications: • One year’s work experience as an addiction’s counselor (preferably with methadone clients) and a BA or BS degree required. CASAC or license in social work, mental health counseling or a related field is also required., • Twelve core functions of counselors, • Knowledge of governmental, private and community programs and entitlements available to patients, familiarity with various state and federal regulations, • Knowledge of computer software, • Experience with recognizing signs of neglect or abuse of children, adults or elderly The hours for this position are Monday - Friday 10:00 am – 6:30 pm. This is a 100% grant funded position. Montefiore Medical Center is an equal employment opportunity employer. Montefiore Medical Center will recruit, hire, train, transfer, promote, layoff and discharge associates in all job classifications without regard to their race, color, religion, creed, national origin, alienage or citizenship status, age, gender, actual or presumed disability, history of disability, sexual orientation, gender identity, gender expression, genetic predisposition or carrier status, pregnancy, military status, marital status, or partnership status, or any other characteristic protected by law.

Compass Healthcare Consulting & Placement is conducting a search for an experienced Pharmacist for a Palliative Care, Hospice position within an In Patient Hospice Hospital setting in the Bronx, NY. Qualified candidates will have prior Pharmacist experience within Hospital, Inpatient Hospice, Community Based Hospice or Palliative Care setting. Great opportunity for an experienced Pharmacist to provide patient care within the Hospital facility. Pharmacist - Palliative Care • Provide palliative care for hospitalized patients and their families facing serious medical problems., • Participate in comprehensive clinical evaluation and care of patients and their families., • Provide expertise in medication use and monitoring, symptom management, and assessment of the risks and benefits of therapy and provision of continuity of care., • Provide clinical education and mentorship to clinicians and trainees., • Ensure compliance with practice standards and codes Job Responsibilities: • Function as a core clinical team member of the interdisciplinary team., • Assist with patient care for palliative care patients as included below: a. Review medication histories and assess the appropriateness of current medications. b. Review medications for potential or actual drug related problems, including but not limited to drug-disease interactions and/or adverse drug events. c. Order, interpret and evaluate appropriate imaging, diagnostics, and laboratory data, including but not limited to pharmacogenetic testing, as appropriate according to regulation and policy. d. Assess disease states, symptoms, and patient and family needs. e. Collaborate in determining and discussing appropriate patient centered goals of care. f. Recommend appropriate use of medications to support goals of care as allowable according to regulation and institutional policy. g. Monitor therapy relative to pain and other symptom management. h. Provide education to patients and families regarding the use of both pharmacologic and non- pharmacologic interventions i. Document patient care activities in a manner consistent with hospital standards. j. Recognize the need for collaboration with other disciplines and refer as appropriate to relieve suffering. • Recommend and implement risk mitigation strategies and monitoring to optimize safe and effective use of medications., • Provide cross-training for other team members in pharmacotherapeutic concepts related to palliative care and receive cross-training from other disciplines., • Ensure that patients and caregivers understand and follow the directions relative to medication use., • Provide recommendations for appropriate use of nonstandard dosage forms and routes of administration., • Address financial aspects of medication use by considering formularies of hospital, hospice and patients’ prescription insurance., • Assist in ensuring safe use of high-risk medications including dosing, administration and disposal., • Reviews and evaluates medication orders by authorized practitioners and dispenses medications as per established procedure, • Assist in development of protocols and clinical pathways to improve care for palliative patients., • Play an active role in bridging the knowledge and best practices of pain and palliative care pharmacotherapy into clinical practice and research., • Engage in both didactic and experiential interprofessional palliative education., • Adhere to hospital policies, procedures, and quality/safety standards, • Represent the team locally, regionally and nationally by presenting platform and poster presentations., • Serve on committees and work groups, • Maintains in-patient records, computerized and manually as required, • Prepares departmental reports as assigned Job Qualifications • Active New York State pharmacy license in good standing, • Two years of post-graduate residency/fellowship training, or equivalent experience in the care of patients facing serious medical problems preferred (e.g., oncology, hospice, geriatrics), • Earned certification in a clinically relevant area from a recognized organization preferred (e.g, Board Certification by Board of Pharmacy Specialties, American Society of Pain Educators Certified Pain Educator Benefits • 401(k), • Dental insurance, • Employee assistance program, • Employee discount, • Family leave, • Flexible spending account, • Health insurance, • Health savings account, • Life insurance, • Paid time off, • Prescription drug insurance, • Retirement plan, • Tuition reimbursement, • Vision insurance Competitive Salary $132,000 - 163,000 & Excellent Benefits Package! Qualified Candidates Please Apply Now for Immediate Consideration!

Marketing Statement Lincoln Medical and Mental Health Center is one of New York City’s premier acute care hospitals. Located in Downtown Bronx, Lincoln is a teaching hospital renowned for its Centers of Excellence, and a recognized industry leader in the implementation of state-of-the art medical technology and best practices. Our team of highly trained and caring medical professionals is dedicated to providing the highest quality health care that is safe, compassionate, culturally competent and patient-centered. Comprehensive services are offered in three major primary care areas: Medicine, Pediatrics, and Women’s Health in addition to more than eighty (80) specialty services. At Lincoln, the safety and comfort of our patients is our number one priority. At NYC Health + Hospitals, our mission is to deliver high quality care health services, without exception. Every employee takes a person-centered approach that exemplifies the ICARE values (Integrity, Compassion, Accountability, Respect, and Excellence) through empathic communication and partnerships between all persons. Duties & Responsibilities Under direction, develops, plans, coordinates and monitors professional and medical aspects related to the delivery of health care services and ensures the maintenance and attainment of quality care, as required under federal, state and local legislation. In collaboration with appropriate leadership, formulates and evaluates programs and projects of the Office and supervises the functional programming activities directed toward accomplishing departmental objectives. Essential Duties And Responsibilities • Formulates and develops methods and procedures for monitoring, evaluating, implementing and operating health care programs and services in assigned areas of responsibility to ensure attainment of quality care and to meet mandated legislative and administrative standards., • Monitors and coordinates the review processes of assigned health care programs to determine if programs are meeting the health care needs, objectives and goals established by the Department., • Coordinates functional activities of a Department and maintains liaison with internal and external sources., • Reviews experimental models and design for health care delivery systems to ensure delivery of quality care standards., • Provides guidance to health care settings for establishment and maintenance of utilization review, quality assurance and discharge planning programs, which comply with state, federal and The Joint Commission requirements and counsels to resolve operational issues., • Reviews city, state and federal regulations relating to compliance and advises personnel on compliance improvement for health care programs., • Designs and/or reviews performance audits and makes recommendations to improve effectiveness and assess quality standards of health care delivery., • Provides advisory and consultative services to System, health care settings and their staff, as needed, on matters affecting health care programs, standards, and services., • Advises Director and/or other appropriate leadership on policy and procedural changes, utilization and development of staff, implementation of productivity goals, and makes recommendations for improvements in the design of assigned health care programs., • Participates in meetings, may plan conferences, seminars with health care groups, medical and professional health care organizations and health care setting medical authorities related to special medical programs, health care standards and practices., • Supervises staff assigned to departmental activities or units and provides professional and administrative direction. Minimum Qualifications • Master’s degree from an accredited college or university in Hospital, Health, Public or Business Administration, Healthcare Management, Public Health or a related discipline; and four (4) years of full-time, paid progressively responsible experience in hospital administration with an emphasis on the development and evaluation of health care delivery services; or, • Bachelor’s degree from an accredited college or university in disciplines, as listed in #1 above; and five (5) years of full-time, paid experience, as described in #1 above. Department Preferences : Risk-Management Experience Preferred

Outposted Therapeutic Housing Units Program (OTxHU) Since 2016, Correctional Health Services (CHS) has been the direct provider of health care in the New York City jails. Deeply committed to human dignity and patient rights, CHS is part of the NYC Health + Hospitals system and is a key partner in the City’s efforts to reform the criminal-legal system. Our in-jail clinical services include medical, nursing, and mental health care; pharmacy services; substance-use treatment; social work; dental and vision care; discharge planning; and reentry support. Given the high visibility of this initiative, we are seeking the highest caliber health care professionals in key clinical services to staff our Outposted Therapeutic Housing Units (OTxHU). To be located in three NYC Health + Hospital acute care facilities, the OTxHU is a pioneering approach to safely increasing access to high quality clinical care for patients in custody who have complicated health conditions. OTxHUs will bridge the gap in the continuum between care provided in the jails and inpatient hospitalization, with admission to and discharge from the OTxHU in accordance with a patient’s clinical needs. CHS will be the primary health care providers on these units and the NYC Department of Correction will provide security and custody management. The OTxHU at NYC Health + Hospitals/Bellevue in Manhattan will be the first of this unique, groundbreaking project to open with a planned completion date as early as the end of 2024. This is an incredible opportunity to be part of a passionate and motivated team providing care to some of the City’s most marginalized, vulnerable people. *To help support continuity of operations and care, staff selected to work in the OTxHU may also be required to work in CHS locations within the jails. Additionally, while CHS seeks the most qualified individuals for these positions, preference will be given to equally qualified, internal candidates. Work Shifts Time: 8a-4p Days: Mon-Fri Facility: Bellevue-OTxHU and shifts on Rikers Island Duties & Responsibilities Under the supervision of the Health Service Administrator, the Tour Coordinator is responsible for managing and coordinating assigned sub-unit operations and administration. The Tour Coordinator (TC) is a vital part of this, providing essential support for clinic operations and administrative oversight across CHS sites. The TC's duties include process monitoring and direct handling of department-specific requests, such as telephonic and email requests, daily operational coordination tasks, and preparing operational reports. Responsibilities • Assists in planning for the service/program through consultation with management, clinical staff, and other associated healthcare services to coordinate joint patient and management objectives., • Assists in planning development and may conduct training programs to maintain personnel proficiency, use of new equipment, and implement methods and procedures., • Act as an intermediary between CHS management, central operations, and Correctional staff to ensure patient production for health care services., • Monitors patient production and conducts regular visits to clinic areas or patient holding areas to ensure proper patient flow and to flag unnecessary delays in patient’s movement to Correctional staff., • Performs data entry and retrieval of records, lists, and statistical information; reviews statistical reports for accuracy and initiates procedures to resolve deficiencies; compiles and enters data; makes calculations; and prepares charts, graphs, databases, summaries, and reports., • Provides administrative support for a comprehensive health service program of professional and non-professional staff and related health care personnel., • Assists in scheduling meetings and appointments within the department and external entities., • Prepares and maintains operational manuals and procedures up to date., • Manages all departmental repairs and ordering of stationery and equipment as needed., • Other administrative duties as deemed necessary Minimum Qualifications 1. A Baccalaureate Degree from an accredited college or university in Business Administration, Engineering or Social Sciences, Health Care Specialization, Physical Sciences or related programs; and A minimum of four years of progressive, responsible experience related to Health Care Program Planning, Research, Design, Operation, Evaluation and Analysis; or 1. A Masters Degree from an accredited college or university in Public Health, Public or Hospital Administration, Health Care Specialization, Business Administration or related disciplines; and A minimum of three years progressive, responsible experience directly related to health care program planning, research, design, operation, evaluation and analysis; or 1. A satisfactory equivalent combination of training, education and experience; and,, 2. Demonstrated skills in written and oral communication. Department Preferences • Strong written and verbal communication skills., • Ability to develop reports and analysis, • Ability to generate data reports from single and multiple systems, • Advanced Microsoft Office Suite proficiency including Excel and PowerPoint., • Detail-oriented and strong organizational and follow-through to coordinate work plans, prioritize assignments and meet deadlines., • High degree of professionalism, courtesy, strong work ethic, integrity, regard for confidentiality and ability to work with discretion on sensitive matters., • Ability to adapt to new situations, collaborate with team members, and work under pressure with minimal supervision, when necessary., • Knowledge of operational health care policies and programs utilized in health care settings Benefits NYC Health and Hospitals offers a competitive benefits package that includes: • Comprehensive Health Benefits for employees hired to work 20+ hrs. per week, • Retirement Savings and Pension Plans, • Paid Holidays and Vacation in accordance with employees' Collectively bargained contracts, • Loan Forgiveness Programs for eligible employees, • College tuition discounts and professional development opportunities, • College Savings Program, • Union Benefits for eligible titles, • Multiple employee discounts programs, • Commuter Benefits Programs

NYC Health + Hospitals is the largest public health care system in the nation. We are a network of 11 hospitals, trauma centers, neighborhood health centers, nursing homes, post-acute care centers, and correctional health services. We are a home care agency and a health plan, MetroPlus. Our health system provides essential services to 1.4 million New Yorkers every year in more than 70 locations across the city's five boroughs. Our diverse workforce of more than 42,000 employees are uniquely focused on empowering New Yorkers. NYC Health + Hospitals/Correctional Health Services is one of the nation’s leading correctional health care systems in quality of and innovations to care, and access from pre-arraignment through compassionate release. In-jail services include medical, nursing, mental health, substance use treatment, social work, dental and vision care, discharge planning, and reentry support. In addition to providing direct patient care in the jails, CHS leverages the resources of the nation’s largest municipal health care system to help discharged patients successfully return to their communities. CHS is also a pivotal partner in New York City’s criminal justice reform efforts. SUPERVISED BY: On Site Director of Nursing Deputy Director of Nursing GENERAL DUTIES: The Patient Care Coordinator (PCC)/Supervisor of Nurses (SON diagnosis and treats human responses to actual or potential health problems through such services as data collection, physical assessment, case-finding, health teaching, health counseling and provision of care supportive to /or restorative of life and well-being as data collection, physical assessment, health teaching, health counseling, and provision of care supportive to or restorative of life and well-being and executing medical regimens prescribed by a licensed physician, dentist or other health care provider legally authorized under this title and in accordance with the commissioner’s regulation. Under the guidance of the On-Site Director of Nursing (OS-DON), the Patient Care Coordinator/Supervisor of Nurses is responsible for directing and administering nursing care to patients. He/she coordinates activities through collaboration with physicians, administration, pharmacy, clerical, and correctional staff, etc. He/she is guided by a thorough knowledge of principles of nursing based on biological, physical, and psychosocial sciences. He/she possesses a working knowledge of principles of leadership and utilizes that knowledge in guiding and directing nursing staff. He/she assists the OS- DON in ensuring compliance with standards, policies and procedures of NYC Health and Hospital Corporation Correctional Health Services contracted with Prison Health Services, Inc. and the Department of Nursing. He/she will be working with adult male and females between sixteen to eighty and infants from birth to one year of age. RESPONSIBILITIES: • Provides direct patient care as necessary. Using the problem-oriented progress notes, written to match each problem documented on the Problem List and organized using the SOAP format., • Coordinates the nursing care provided for patients within a given unit by:, • Assigning appropriate nursing staff for patient care activities such as admissions, sick call, treatments, medications, punitive segregation rounds, follow-up, etc. Problems in staffing must be communicated to the On-Site Director of Nursing., • Utilize therapeutic communication skills and effective interviewing techniques to elicit pertinent historical information and to make appropriate referrals as required. Screen patients with mental health problems in an immediate manner and makes appropriate referral as required., • Making rounds to patient care areas for the purposes of assessing, planning, implementing, documenting, and evaluating unit nursing care delivery. Assist OS-DON in staffing needs. Provides guidance and assistance to nursing personnel in the delivery of patient care., • Assuring continuity of care on other shifts through written and/or verbal communication. Communicates special care needs of particular patients to the psychiatrist, On-Site Director of Nursing or the On-Island Administrator., • Collaborates with the OS-DON in the orientation of new staff on the unit. Evaluates the new nurse on an ongoing basis; writes a formal evaluation at the end of the probation period, and makes recommendations to the OS-DON., • Evaluates and provides feedback to staff on an ongoing basis and in an annual formal evaluation conference. Collaborates with the OS-DON and/or Deputy Director of Nursing. Provides appropriate documentation and records of nursing personnel activities. • Identifies staff development needs and plans strategies to meet the needs in collaboration with available nursing resources., • Conducts meetings with his/her staff, in collaboration with the On-Site Director of Nurses, to share information, discuss problems and potential solutions, and to promote cooperative professional relationships among the staff., • Monitors the quality of patient care through quality assessment - improvements mechanisms., • Communicates, documents and collaborates on an ongoing basis, with the On-Site Director of Nursing concerning patient care and unit administration. COORDINATOR / SUPERVISOR RESPONSIBILITES: • Coordinates the intra-disciplinary team providing comprehensive patient care., • Familiarizes self with and participates in defining, maintaining and Interpreting standards of nursing practice through the application of nursing policies and procedures according to the Prison Health Services, Inc. Policy and Procedure Manual and specific policies of the Correctional Health Services., • Identifies those components of the nursing plan, which may be delegated to allied nursing and other non-professional personnel, and provides teaching, guidance and supervision as necessary., • Assists with the unit orientation of nursing personnel through participation in, • the precepting function., • Counsels nursing staff and directs information to the On-Site Director of Nursing. Provides documentation as needed on a timely basis., • Supervise all care provided by LPN’s/NAs and assumes other related responsibilities as required., • Administer medication in a safe and efficient manner consistent with prescribed orders, mouth checks, and established standards, • Participates in a system of ongoing monitoring activities, including peer, content, and quality reviews to ensure delivery of quality care. Makes recommendations for change where problems are identified., • Continues professional development through:, • Participation in the evaluation process., • Formal undergraduate, graduate and post-graduate courses., • Attendance at continuing education programs sponsored by community and other health agencies., • Participation in unit conferences and staff development programs., • Participates in projects and research activities that identify patient care needs., • Shares with peers the knowledge that is gained at continuing education Programs, CARE OF THE ENVIRONMENT • Contributes to an environment that is conducive to meeting patients’ needs by taking initiative in maintenance of supplies and equipment., • Demonstrates awareness of the correctional health environment through observance of security regulations and appropriate care of contraband., • Contributes to maintenance and/or improvement of the unit morale by:, • Utilizing established channels of communication., • Recognizing, accepting, and respecting people as individuals., • Demonstrating concerns for unit and patient needs over a 24-hour period. HUMAN RELATION SKILLS: • Assists other employees where needed., • Is responsible and cooperative with supervisors, fellow associates, patients, visitors, and Department of Corrections personnel., • Maintains friendly working atmosphere., • Maintains professional demeanor., • Maintains professional appearance and adheres to uniform policy of Department, • of Nursing., • Accepts constructive criticism as evidenced by appropriate changes in behavior., • Utilizes established channels of communication., • Recognizes, accepts, and respects people as individuals., • Recognizes limitation and seeks assistance appropriately. WORKING CONDITIONS: • Clinic and Infirmary environment. Constant standing, walking: frequent bending, lifting and reaching: Occasional sitting ADA REQUIREMENTS: Heavy Work: Exerting up to 100pounds of force occasionally, and/or 50 pounds of force frequently, and /or up to 20 pounds of force constantly to move objects. Minimum Qualifications 1. A valid New York State license and current registration to practice as a Registered Professional Nurse in New York State; and, 2. Holds, or obtains through facility orientation, a valid and current certification in Basic Life Support (BLS) through the American Heart Association (AHA); and, 3. Three (3) years of experience as a registered nurse. NYC Health and Hospitals offers a competitive benefits package that includes: • Comprehensive Health Benefits for employees hired to work 20+ hrs. per week, • Retirement Savings and Pension Plans, • Paid Holidays and Vacation in accordance with employees' Collectively bargained contracts, • Loan Forgiveness Programs for eligible employees, • College tuition discounts and professional development opportunities, • College Savings Program, • Union Benefits for eligible titles, • Multiple employee discounts programs, • Commuter Benefits Programs

About the Job: LaunchDarkly is looking for an experienced Full Stack Engineer to play a key role in shaping the future of software delivery on the Guarded Releases team. In a world where agents are delivering code faster and more reliably, releasing safely is no longer optional infrastructure; it’s a competitive advantage. The Guarded Releases team is focused on making every release safer, faster, and more reliable. Our mission is to redefine how software is released: automating release processes, measuring the real-time impact of feature rollouts, and simplifying debugging when things go wrong. From automated release pipelines to metrics monitoring, error tracking, and fully automated rollbacks, our work ensures every code change is measured, and the entire release process from rollout to issue mitigation is managed for maximum efficiency and reliability. We are solving critical challenges in modern software delivery: reducing the time it takes to detect regressions, automating responses to minimize risk, and eliminating manual effort. We extensively use the products we build, allowing us to create our own ideal release process while shaping the developer experience for teams across the industry. If you’re interested in building the systems that help software teams ship safely at scale, we’d love to work with you. Responsibilities: Collaborate seamlessly with cross-functional partners (product, design, data science, and engineering) to architect and advance our observability products. Leverage your broad experience to facilitate strategic discussions that align technical solutions with business goals, ensuring the delivery of scalable and effective features. Drive comprehensive end-to-end feature development, taking full ownership from proof of concept through to delivery. Ensure that each feature provides robust observability into system behavior and customer usage patterns post-launch, applying a deep understanding of both technical and user experience considerations to optimize feature performance and reliability. Proactively identify opportunities for product and user experience improvements, leveraging data insights and feedback to propose innovative, well-reasoned solutions. Lead the implementation of these enhancements, balancing user needs, business goals, and technical feasibility, ensuring each change drives meaningful improvements in engagement and performance. Actively lead and contribute to code reviews, spec reviews, and architecture design, ensuring alignment with best practices, long-term scalability, and maintainability. Your experience will drive thorough and thoughtful evaluation of solutions, while providing constructive feedback that elevates the quality of the codebase. Stay at the forefront of development trends, experimentation, and data-driven product evolution, bringing deep expertise to suggest and implement forward-thinking improvements in tools, processes, and methodologies. Your proactive involvement in continuous learning and improvement will help ensure the team remains competitive and cutting-edge in its approach to building user-focused products. Qualifications: 3+ years of professional software engineering experience, with a track record of shipping production-quality full-stack features Proficiency across the full stack—comfortable in TypeScript/React on the frontend and Go (or similar) on the backend Experience building data-focused products such as experimentation platforms, analytics dashboards, or large-scale data visualizations. Proficient in designing, implementing, and maintaining RESTful APIs Experience working directly with customers and understands how their work impacts business goals Strong sense of ownership and accountability for delivering impactful solutions Proven ability to work closely and collaborate with cross functional partners, like product, design, and data scientists. Demonstrated ability to write clean, well-documented, and testable code with a focus on maintainability and extensibility. Strong understanding of observability and monitoring tools and practices. Excellent communication, collaboration, and interpersonal skills Pay: Target pay ranges based on Geographic Zones* for Level 2: • Zone 1: San Francisco/Bay Area or NYC Metropolitan Area, Boston, Seattle - $136,500 - $187,660**, • Zone 2: Irvine, LA, Monterey, Santa Barbara, Santa Rosa, Austin, Portland, Philadelphia, Chicago - $122,800 - $168,850**, • Zone 3: All other US locations - $116,000 - $159,500 LaunchDarkly operates from a place of high trust and transparency; we are happy to state the pay range for our open roles to best align with your needs. Exact compensation may vary based on skills, experience, and location. *Within the United States, our geographic pay zones are defined by counties surrounding major metropolitan areas. **Restricted Stock Units (RSUs), health, vision, and dental insurance, and mental health benefits in addition to salary. About LaunchDarkly: Modern software delivery was supposed to be the foundation for a thriving digital business but reality has proven otherwise. Slow, inefficient development cycles, costly outages, and fragmented customer experiences are preventing developers from building their best software. The LaunchDarkly platform helps developers innovate on new features faster while protecting them with a safety valve to instantly rewind when things go wrong. Developers can target product experiences to any customer segment and maximize the business impact of every feature. And by gradually rolling out new application components, they escape nightmare "big-bang" technology migrations. The LaunchDarkly platform was built to guide engineers to the next frontier of DevOps by: • Improving the velocity and stability of software releases, without the fear of end customer outages, • Delivering targeted experiences by easily personalizing features to customer cohorts, • Maximizing the business impact of every feature through the ability to experiment and optimize, • Coordinating the release and optimization of software to provide consistent experiences across mobile platforms and device types, • Improving the effectiveness and productivity of engineering teams, by providing insights into engineering cadence and stability At LaunchDarkly, we believe in the power of teams. We're building a team that is humble, open, collaborative, respectful and kind. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status. LD invites any applicant to review our written Affirmative Action Plan. To do so, contact People Ops at _. Do you need a disability accommodation? Fill out this _ and someone from our People Operations team will contact you for assistance. Your safety matters to us. To protect yourself from potential scams, LaunchDarkly recruiters will only contact you from @ email addresses or via LinkedIn from "Verified Recruiter" accounts. Be cautious of emails from other domains. Legitimate LaunchDarkly recruiters will never ask for money, fees, or banking information before making a job offer. LaunchDarkly will never make a job offer without conducting a formal interview process. Our interview process does not involve asking detailed questions by email. If you are ever unsure about a communication that you receive, don't click any links—visit directly for confirmed job openings and links to apply. Please notify us of any fraudulent representation by sending an email to _.

This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates. Please submit your resume in English and indicate your level of English proficiency. At _, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI. What we do The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe. About the Role GenAI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills. If you join the platform as an AI Tutor in Coding, you’ll have the opportunity to collaborate on these projects. Although every project is unique, you might typically: • Code generation and code review, • Prompt evaluation and complex data annotation, • Training and evaluation of large language models, • Benchmarking and agent-based code execution in sandboxed environments, • Working across multiple programming languages, • Adapting guidelines for new domains and use cases, • Following project-specific rubrics and requirements, • Collaborating with project leads, solution engineers, and supply managers on complex or experimental projects Note: Flexibility and quick adaptation to new requirements are essential. How to get started Simply apply to this post, qualify, and get the chance to contribute to projects aligned with your skills, on your own schedule. From creating training prompts to refining model responses, you’ll help shape the future of AI while ensuring technology benefits everyone. • You hold a Bachelor's or Master’s Degree in Computer Science, Software Engineering, Software Development, Computer Engineering, Information Technology or other related fields, • You have at least 3 years of professional iOS/macOS development experience, • Your level of English is advanced (C1) or above, • Mid-level proficiency in Swift 5.9+, including SwiftUI, Combine, async/await, and the concurrency model, • Hands-on experience with testing frameworks (XCTest, Quick/Nimble) and UI automation testing, • Proficiency with Xcode, Swift Package Manager, and CI/CD tools (Fastlane, GitHub Actions, Xcode Cloud), • Experience with App Store deployment and monitoring tools (Crashlytics, Firebase), • Strong understanding of architectural patterns (MVVM, Clean Architecture) and performance optimization (ARC, Instruments), • Experience integrating AI/ML capabilities (Core ML, Vision, Create ML), • Practical use of AI-assisted tools for code generation, refactoring, and test automation, • Strong skills in crash analysis, memory debugging, and performance profiling, • You are ready to learn new methods, able to switch between tasks and topics quickly and sometimes work with challenging, complex guidelines., • Our freelance role is fully remote so, you just need a laptop, internet connection, time available and enthusiasm to take on a challenge. Why this freelance opportunity might be a great fit for you? • Get paid for your expertise, with rates that can go up to $55/hour depending on your skills, experience, and project needs., • Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments., • Work on advanced AI projects and gain valuable experience that enhances your portfolio., • Influence how future AI models understand and communicate in your field of expertise.

Supernal helps small-to-medium businesses hire their first AI employee. Our AI teammates are built using intelligent, agentic workflows deployed on a proprietary platform. We deliver working, value-generating AI Employees—not tools—that handle real business processes alongside human teams. We’re hiring a Senior AI Engineer to build and ship the first generation of personalized, self-improving agentic workflows that users rely on daily. This is an “end-to-end” role: you’ll design the agent runtime, memory + retrieval systems, evaluation harnesses, and the product-facing surfaces that put agents in front of real users at scale. You should be equally comfortable reasoning about distributed systems and data (latency, caching, queues, failure modes, cost) as you are with modern agent stacks (tool use, memory, RAG, multi-step planning, guardrails, and evaluation). This role will partner closely with platform engineering to leverage and extend our core services (Django backend, event-driven systems, Kubernetes, observability) while owning critical parts of the AI application layer. Personalized agent runtime: Agentic workflows that adapt to a user’s preferences, data, and ongoing behavior over time. Memory & retrieval systems: Short/long-term memory, durable state, and retrieval pipelines across vector DBs and relational data. Voice experiences (real-time + async): Speech-to-speech/voice agents, streaming audio pipelines, turn-taking, interruption handling, latency tuning, and QA for natural conversations. Agent evaluation + reliability: Offline/online evals, regression suites, red-teaming, monitoring, and rollout controls so agents are trustworthy in production. Production agent infrastructure: Scalable orchestration patterns for multi-step jobs, background tasks, and user-facing interactions (sync + async), with clear SLAs/SLOs. Tooling + developer experience: Libraries and primitives that make it easy for the team to build new agent capabilities quickly and safely. Ship user-facing agent experiences end-to-end: prototype → production → iteration based on real usage. Architect and implement stateful agent systems (workflows, tool calling, memory, retrieval, and human-in-the-loop where needed). Build voice features end-to-end where they unlock value: realtime speech agents, voice UI/UX, prompt/audio routing, and guardrails for safe tool execution. Build/own an evaluation harness: curated test sets + scenario suites automated scoring / rubric-based graders prompt/model/version tracking canary + A/B experimentation and safe rollout patterns Design data + retrieval pipelines: chunking, enrichment, metadata strategy hybrid retrieval (vector + keyword + structured filters) re-ranking, caching, and latency optimization multi-tenant safety and data isolation Integrate with and extend our platform primitives: Django/DRF/ASGI services async execution + queues + workflow orchestration PostgreSQL + pgvector Kubernetes deployments, autoscaling, and cost controls Establish engineering rigor for agents: observability (traces, spans, structured logs) reliability patterns (timeouts, retries, circuit breakers, graceful degradation) security/privacy controls for data access and tool execution Strong software engineering fundamentals (design, testing, code quality, performance, security). Production experience deploying AI systems in front of users (not just notebooks/demos). Experience building agentic or LLM-powered systems with memory and tool use. Comfort working across application + infrastructure layers: APIs, background jobs, data stores, and deployment. Hands-on experience with at least one agent framework (or equivalent custom implementation), such as: LangChain / LangGraph LlamaIndex AutoGen / CrewAI-style multi-agent patterns Strong understanding of retrieval and vector search concepts: embeddings, indexing, filtering, evaluation. Experience with vector databases and/or search stacks (e.g., Pinecone, Chroma, Weaviate, Qdrant, pgvector). Experience designing evaluation systems (offline eval, human eval loops, production monitoring, prompt/model regression). Experience building voice/real-time systems (streaming, WebRTC or similar), and/or integrating speech (STT/TTS) into production applications. Experience building durable, long-running workflows (Temporal or similar orchestration engines). Familiarity with observability tooling (OpenTelemetry, Datadog, or similar). Experience shipping multi-tenant SaaS systems with strong privacy boundaries. System design for agentic applications (state, memory, evaluation, failure modes). Practical retrieval/RAG design (data modeling, indexing, relevance, latency). Production engineering practices (testing strategy, observability, rollouts). Ability to communicate tradeoffs and make good technical decisions under uncertainty. Compensation: Competitive salary commensurate with experience (Senior level) Location: Remote Type: Full-time Requirements: Overlap with Americas timezones for collaboration; reliable high-speed internet

About the Role We are seeking an exceptional, AI-native Senior+ Product Manager to build and lead the intelligence and reconciliation backbone of HTS across Flights, Hotels, Cars, and Ancillaries. This role owns the systems that define pricing intelligence, supplier performance reporting, and financial truth across millions of travel transactions. You will design and scale model-driven infrastructure that continuously interprets transactional data, generates reference pricing, detects performance shifts, reconciles financial flows, and governs revenue integrity in real time. This is a foundational role at the intersection of marketplace economics, machine learning, and financial systems. You will partner deeply with Data Science and Engineering to productionize predictive models, define evaluation frameworks, manage model lifecycles, and ensure intelligence systems are measurable, adaptive, and trusted. The work you do will directly shape partner economics, supplier transparency, and HTS’s global commerce platform. What would your day-to-day look like: Own the end-to-end strategy and roadmap for pricing intelligence, supplier performance intelligence, and financial reconciliation across all travel verticals. Architect and evolve reference pricing systems leveraging predictive modeling, elasticity signals, competitive benchmarking, and real-time anomaly detection. Build the supplier intelligence layer, transforming transactional data into automated performance signals, demand insights, and pricing diagnostics. Establish and govern the canonical source of truth for revenue, margin, take rate, transactions, and cancellations across systems and partners. Design model evaluation, monitoring, and feedback frameworks, including drift detection and continuous improvement mechanisms. Implement automated reconciliation and anomaly detection systems to proactively surface financial inconsistencies at scale. Drive cross-functional execution across Engineering, Data Science, Finance, Commercial, and Supply to deliver production-grade, model-integrated infrastructure. An ideal candidate has: 5+ years of Product Management experience, including ownership of AI-native products and model-driven systems in production. You have built and scaled systems where AI is foundational to product behavior — not an additive feature. Hands-on experience writing prompts, designing evaluation harnesses, or prototyping with LLMs/foundation models as part of their PM workflow (not just overseeing others doing it) Demonstrated experience operating as an AI-native PM, with hands-on ownership of model lifecycle management including problem framing, signal design, evaluation metrics (e.g., precision/recall tradeoffs, forecasting accuracy), monitoring frameworks, drift detection, and retraining strategies. Experience shipping predictive systems, anomaly detection platforms, automated decisioning infrastructure, or model-driven pricing systems at scale. Strong fluency with SQL and large-scale transactional datasets. Experience owning pricing systems, financial reporting platforms, marketplace intelligence tools, or reconciliation frameworks. Deep understanding of marketplace economics, revenue mechanics, and pricing strategy. Track record of delivering complex, cross-functional systems with measurable business impact. Exceptional communicator able to operate effectively across technical, financial, and commercial stakeholders. Bonus: Prior experience in Data Science, Engineering, or a highly technical role. Background in travel commerce, fintech, ads, or other transaction-heavy marketplace environments. Perks and benefits of working with us: Well-funded and proven startup with large ambitions, competitive salary and the upsides of pre-IPO equity packages. Unlimited PTO. Carrot Cash travel stipend. Access to co-working space on demand through FlexDesk AND Work-from-home stipend. Please ask us about our very generous parental leave, much above industry standards!. Entrepreneurial culture where pushing limits and taking risks is everyday business. Open communication with management and company leadership. Small, dynamic teams = massive impact. 100% employer paid Medical, Dental and Vision coverage for employees. Access to Disability & Life insurance. Health Reimbursement Account (HRA). DCA/ FSA and access to 401k plan. More about Hopper At Hopper, we are on a mission to become the leading travel platform globally – powering Hopper’s mobile app, website and our B2B business, HTS (Hopper Technology Solutions). By leveraging massive amounts of data and advanced machine learning algorithms, Hopper combines its world-class travel agency offering with proprietary fintech products to bring transparency, flexibility and savings to travelers globally. We have developed several unique fintech solutions that address everything from pricing volatility to trip disruptions – helping people travel better and save more on their trips. The Hopper platform serves hundreds of millions of travelers globally and continues to capture market share around the world. he Hopper app has been downloaded over 120 million times and has become largely popular among younger travelers – with 70% of its users being Gen Z and millennials. While everyone knows us as the Gen Z and Millennial travel app, Hopper has evolved to become much more than that. In recent years, we’ve grown into a travel fintech provider, commerce platform, and global travel agency that powers some of the world’s largest brands. Through HTS, our B2B division, the company supercharges its partners’ direct channels by integrating our fintech products on their sites or powering end-to-end travel portals. Today, our partners include leading travel brands like Capital One, Nubank, Air Canada, and many more. Here are just a few stats that demonstrate the company’s recent growth: Billions of dollars worth of travel and travel fintech are sold through Hopper and HTS’ channels every year. Our fintech products – including Cancel for Any Reason and Flight Disruption Assistance – have exceptionally strong CSAT because the terms are always clear, and customers receive instant, no-questions-asked resolutions. Almost 30% of our app customers purchase at least one fintech product when making a booking; and consumers are 1.6x more likely to repurchase if they add fintech to their booking vs if they booked just travel. Given the success of its fintech products, Hopper launched a B2B initiative, HTS (Hopper Technology Solutions), which represents more than 75% of the business. Through HTS, any travel provider (airlines, hotels, banks, travel agencies, etc.) can integrate and seamlessly distribute Hopper’s fintech or travel inventory on their direct channels. As its first HTS partnership, the company partnered with Capital One to co-develop Capital One Travel, a new travel portal designed specifically for cardholders. Other HTS partners include Air Canada, Uber, CommBank, Nubank, Flair Airlines and many more. Hopper has been named the #1 most innovative company in travel by Fast Company Hopper has been downloaded over 120 million times and continues to have millions of new installs each month. Hopper is now the #3 largest online travel agencies in North America and 70% of our app customers are Gen-Z and millennials travelers. Hopper has raised over $750 million USD of private capital and is backed by some of the largest institutional investors and banks in the world. HTS is primed to continue its growth as the leading travel ecommerce provider in a $1 trillion online shopping category. The Hopper app and website will also continue to be the preferred travel provider for Gen Z and Millennials.. Come take off with us! #LI-REMOTE

Full-time Description Primary Purpose of Position: The Asset Manager II is responsible for the oversight of the financial and regulatory administration of funded properties within MaineHousing’s multi-family portfolio as well as properties under the Performance-Based Contract Administration contract held with the U.S. Department of Housing and Urban Development (HUD). The position is responsible for establishing and maintaining the primary working relationship with their assigned property owners and management companies throughout Maine as well as federal regulatory agencies providing funding and contract work. Education and Experience: Education and four years of relevant work experience or a combination of education and training preferred. Experience with comprehending and interpreting legal documents and regulatory guidelines, and experience with the affordable housing industry highly desired. Certifications and Trainings: • Certified Occupancy Specialist Training (COS)*, • Tax Credit Specialist Training (TCS)*, • Federal HOME, HTF and HOME-ARP Program Training*, • General Asset Management Training (Risk Assessments, Real Estate, etc.) *, • Fair Housing/Section 504/ADA Training*, • Develop competency with multiple department databases: Prolink, HDS, HUD Secure Systems *Training and certifications to be obtained within the first year of employment or as the courses become available Core Functions: · Review projects for compliance to federal, state and agency regulatory requirements and proactively monitor to anticipate developing issues and risks that could impact MaineHousing’s financial exposure in the investments o Review and analyze budgets and Audited Financial Reviews (AFR) for financial risk by monitoring debt coverage ratio, accounts receivable, vacancy loss, bad debt, net income/loss and recognized cost deemed unreasonable o Analyze on-going capital investments/needs of a property through the evaluation and comparison of routine inspection results, capital needs assessments, budget data, damage claims and replacement reserve requests o Review of annual program reporting for conformance to state and federal requirements o Conduct management and occupancy reviews to ensure management practices and program occupancies conform to the regulatory requirements that are specific to each property. Review and sign off on any MORs conducted by AM I’s for projects in portfolio. o Review and approve all requests for use of property reserve funds o Review of management documents, which may include Management Plans, Management Agreements, Marketing Plans, Tenant Selection Plans, and leases whenever a document change or an ownership or management change occurs to projects in portfolio. o Make recommendations to Director of Asset Management and Portfolio Manager on troubled projects o Draft Notice of Violations and defaults when non-compliance is identified, follow-up on reporting and program compliance · Perform essential key tasks required under the Performance Based Contract Administration (PBCA) held with HUD o Conduct management and occupancy reviews to ensure management practices and occupancy conform to the HUD regulatory requirements specific to each project. o Perform review of PBCA MORs completed by AM I’s. o Provide timely reporting of results of the review to owners (within 30 days). o Perform on-site walk-through inspection of the property’s physical plant conditions. o Timely response to tenant inquiries regarding any life safety concerns · Assist AM III with bringing new properties online by participating in project meetings and the Pre-occupancy Meeting with the Owner/Management team for those projects that will be assigned once on-boarded. · Assist AM III and participate in workouts and new loan proposals for projects in portfolio. · Participate in trainings for staff and external partners · Maintain working knowledge of various federal and state program regulations applicable to the portfolio including Bond regulations, Code of Federal Regulations, IRS Section 42, HUD Handbook 4350.3, Sec 8 Contract Renewal Guide, Special Claims, FedHOME, HTF, HOME-ARP, PRA811, Fair Housing Laws and Section 504 Requirements as well as any new programs coming online o Apply the appropriate requirements to the projects assigned o Provide training and technical assistance to owners and management agents · Respond to resident, owners, managers, and other external inquiries and issues through telephone, written, and electronic mediums · Provide support to the Asset Manager III’s in processing ownership transfers that include a subsequent loan component · Coordinate with AM III’s, Finance and Legal teams on Promissory Note Cancellations and Mortgage Discharge processes · Other duties as assigned Requirements Education and Experience: Education and four years of relevant work experience or a combination of education and training preferred. Experience with comprehending and interpreting legal documents and regulatory guidelines, and experience with the affordable housing industry highly desired. Certifications and Trainings: • Certified Occupancy Specialist Training (COS)*, • Tax Credit Specialist Training (TCS)*, • Federal HOME, HTF and HOME-ARP Program Training*, • General Asset Management Training (Risk Assessments, Real Estate, etc.)*, • Fair Housing/Section 504/ADA Training*, • Develop competency with multiple department databases: Prolink, HDS, HUD Secure Systems *Training and certifications to be obtained within the first year of employment or as the courses become available Skills and Knowledge: · Experience working with multifamily real estate · Ability to understand and interpret regulatory documents and State and Federal statutes and regulations · Experience working with multifamily real estate · Ability to understand and interpret regulatory documents and State and Federal statutes and regulations · Strong project management, time management, and organizational skills · Strong PC skills using various software including Microsoft 365 (especially Word and Excel), ShareFile/SharePoint, Windows, internet browsers · Ability to establish and maintain good working relationships with business partners · Excellent communication skills – speaking, writing, and listening via phone, email, and in-person meetings · Ability to communicate effectively in front of groups · Ability to take initiative, work independently, and use creativity and analytical skills to resolve complex issues among multiple parties Working Conditions: Fast paced environment with multiple priorities, interruptions & deadlines. MaineHousing office hours are Monday – Friday from 8:00am to 5:00pm. A hybrid schedule that includes some telework may be available. Reports to: Portfolio Manager Supervises: No one The starting hourly rate for this position is $28.0980 (annual $58,444), plus a comprehensive benefits package, including, but not limited to, health, dental and vision, retirement options with employer match, life insurance, short and long-term disability, employee assistance, generous earned time and all major federal holidays. Employment is eligible for the Public Service Loan Forgiveness Program. Position will remain open until a suitable candidate is found Salary Description 58,444 per year

Overview We are seeking a driven, inventive, and thoughtful actuarial candidate to guide the adoption of complex models across multiple lines of business. This role will be a part of our Actuarial Predictive Modeling team, which is responsible for ensuring that pricing models are built with actuarial principles in mind. The role involves collaborating with underwriting management, data scientists, and other actuarial teams to build pricing models and evaluate model usage initiatives. More specifically, the candidate will be expected to propose model experimentation ideas during development, recommend expected loss adjustments and guardrails for the final trained models, communicate the benefits and concerns of various technical modeling choices, and influence management decisions related to predictive model usage. This is a supervisory position overseeing one or more members of the Actuarial Predictive Modeling team, with a strong emphasis on people management and team leadership. The candidate will be expected to have a high level of proficiency and knowledge in both actuarial and modeling areas, as well as a genuine interest in developing others. The candidate will guide staff members in both everyday project work and long-term professional development. Effective communication with both technical and non-technical audiences is crucial, as is the ability to understand business priorities, translate them into technical requirements, and manage resources efficiently. The ideal candidate will be able to think quickly on their feet in response to management queries. Additionally, the candidate will own actuarial documentation, play an active role in model filings, and help drive continuous improvements in team workflows. Responsibilities • Collaborate with various teams to understand, develop, and implement predictive models for pricing, portfolio management, and planning purposes, • Ensure appropriate data adjustments and assumptions are applied during model development, • Challenge the model and communicate their strengths and weaknesses to stakeholders, • Validate models for their intended purpose and establish usage guardrails, • Drive decisions and alignment around model rollout, monitoring, and addressing potential misuse, • Provide timely support for model filings as needed, • Maintain positive collaboration with business and stakeholders, promptly resolve inquiries and requests, and communicate effectively to ensure transparency and common understanding of goals and prioritization, • Provide input on cross-departmental steering committees for strategic projects, • Maintain an up-to-date understanding of the insurance landscape, emerging trends, data science concepts, and new technologies impacting pricing models, • Foster a strong risk management culture by maintaining model documentation, managing change management processes, and adhering to established model governance policies and best practices for data and code management, • As a supervisor, work closely with junior staff to oversee the development of professional skills, elevate technical and actuarial knowledge, and guide projects to successful and timely completion, • Develop and enhance team processes to be effective, repeatable, and scalable, • Serve as an actuarial modeling expert by providing technical model support and relevant training to other actuaries and underwriters within the organization Qualifications • Bachelor's degree in Actuarial Science, Mathematics, or a related field, • 5+ years of actuarial pricing experience, ideally in small commercial insurance, • ACAS or FCAS designation and in good standing with the Casualty Actuarial Society, • Strong data exploration and manipulation skills, ideally in SQL, R, or Python, • Experience working with Git, • Solid understanding of statistical methods applied to insurance data, with the ability to identify and articulate data and modeling issues, • Experience with predictive models for Pricing including understanding of assumptions, interpretation of results, and standard model evaluation techniques, • Experience with modern machine learning technologies such as GBM, • Experience managing, supervising, or mentoring team members, • Proven ability to build consensus and drive large-scale projects to conclusion, • Ability to build a sense of trust and rapport that creates an effective workplace, • Excellent problem-solving skills and attention to detail, • Demonstrated ability to experiment with and learn new technologies The expected salary range for this role is $75K-$165K/year. Please note that the salary information shown above is a general guideline only. Salaries are based upon a wide range of factors considered in making the compensation decision, including, but not limited to, candidate skills, experience, education and training, the scope and responsibilities of the role, as well as market and business considerations.

About Ivy Hill Prep Ivy Hill Preparatory Charter School is committed to ensuring that every scholar receives a rigorous, joyful, and supportive academic experience that prepares them for long-term success. Our team works collaboratively to develop strong instructional systems, support teacher growth, and ensure that all students achieve at high levels. Job Summary Ivy Hill Preparatory Charter School is committed to ensuring that all students are held to a high bar of academic and character excellence. While students enter at varying levels, our responsibility is to equip every scholar with the tools necessary for long-term success. The Assistant Head of School (AHOS) serves as a senior instructional and operational leader, working in close partnership with the Head of School (HOS) to drive academic outcomes, ensure compliance, and strengthen school culture. With the addition of an Instructional Coach who reports to both the HOS and AHOS, this role is focused on setting the instructional vision, building systems, and ensuring the quality and consistency of coaching across the school. The AHOS is accountable for translating strategy into execution ensuring that instructional coaching, professional development, specialized instruction, and student support systems are aligned, effective, and producing results. Key Responsibilities Organizational Leadership • Report directly to the Head of School and serve as Leader-in-Charge in their absence, • Partner with the HOS to set and execute school-wide strategic priorities, • Provide regular updates on instructional performance, coaching effectiveness, and progress toward goals, • Oversee implementation of key initiatives and cross-functional projects, • Ensure alignment to the school’s mission, values, and organizational priorities, • Support compliance with all NYSED authorizer requirements, including reporting and documentation, • Maintain strong systems that support school culture, operations, and instructional consistency Instructional Leadership & Coaching Oversight • Co-lead the school’s instructional vision and academic strategy in partnership with the HOS, • Directly oversee the effectiveness, scope, and impact of instructional coaching across the school, • Manage and develop the Instructional Coach through goal-setting, feedback, and performance evaluation, • Ensure coaching is data-driven, aligned to priorities, and consistently implemented across grade levels, • Analyze student achievement data and instructional trends to set clear academic priorities, • Design and facilitate high-impact professional development aligned to charter goals and NYSED benchmarks, • Develop and refine instructional tools, systems, and resources that improve teaching quality, • Build systems to capture, codify, and scale best practices across classrooms Special Education & Student Support • Oversee special education compliance, including coordination with the Committee on Special Education (CSE), • Ensure completion of all required meetings (initials, annuals, re-evaluations) and documentation, • Secure and manage related service providers to fulfill mandated services, • Oversee scheduling and delivery of all special education services, • Lead and strengthen MTSS and Response-to-Intervention systems, • Monitor the quality and effectiveness of specialized instruction and student support programs, • Develop resources and programming to support students with disabilities and their families Culture & Staff Development • Support teachers and leaders in strengthening classroom management and culture systems, • Reinforce consistent implementation of school-wide behavior expectations, • Partner with leadership to ensure a safe, structured, and inclusive learning environment, • Coach staff to improve both academic and character outcomes for students, • Support leadership development across the school, including emerging leaders and the Instructional Coach Required Qualifications • Bachelor’s degree required; Master’s degree strongly preferred, • New York State Special Education certification required, • New York State SBL/SDL preferred, • Minimum of 3 years of teaching experience required, • Minimum of 3 years of leadership experience (elementary school experience strongly preferred), • Demonstrated success driving student achievement through coaching and instructional leadership, • Proven ability to manage and develop adults, including coaches or teacher leaders, • Experience working with historically underserved communities, • Strong track record of building relationships with staff, families, and stakeholders Key Competencies • Strong alignment to the mission and educational philosophy of Ivy Hill Prep, • Advanced data analysis and progress monitoring skills, • Ability to lead through others and ensure execution with consistency and accountability, • Strategic thinker with a results-driven mindset, • Excellent written and verbal communication skills, • Strong interpersonal skills and ability to build trust across stakeholders, • Growth mindset with a willingness to receive and act on feedback, • Unwavering commitment to high expectations for all students Salary & Benefits Salary Range: $105,000 – $115,000, commensurate with experience. Ivy Hill Prep offers a comprehensive benefits package, including: • Medical, dental, and vision insurance, • Retirement benefits, • Generous paid time off and school breaks, • Ongoing professional development and leadership coaching, • Technology and instructional resources to support success in the role Commitment to Diversity Ivy Hill Preparatory Charter School is an equal opportunity employer and is committed to building a diverse and inclusive workplace. We do not discriminate on the basis of race, color, religion, gender, sexual orientation, national or ethnic origin, age, disability, pregnancy, or veteran status.

About DGA DGA Security protects some of the world’s most recognized brands. With over 50 years of market leadership, we combine a proven foundation with a relentless drive to evolve. We don’t chase trends. We solve real problems with measurable impact. We are making a significant investment in video and AI as core pillars of our next phase of growth, and we are looking for the leader who will turn that investment into market leadership. The Role This is a true build-and-lead opportunity. You own the video business end-to-end—product strategy, system architecture, vendor ecosystem, and advanced technical execution. Your mandate is clear: transform video into a scalable, high-performance, high-margin business that wins complex opportunities and delivers flawlessly in the field. You will play the lead role in defining the technical vision for our video portfolio and operate beyond the scope of traditional sales engineering or support - owning the hardest problems and setting the standard for excellence. Responsibilities • Build and scale a structured, repeatable video and live monitoring offering, • Architect advanced surveillance systems for commercial and multi-site environments, • Own and solve non-standard, high-complexity system designs, • Establish best-in-class standards for design, deployment, and lifecycle support, • Own, lead and optimize key vendor partnerships (OpenEye, Axis, Speco, others), • Identify, evaluate and onboard next-generation technology, • Integrate AI analytics to elevate detection accuracy and response outcomes, • Partner with Sales to win high-value, technically complex deals, • Serve as the escalation point for the most challenging technical issues, • Drive system reliability, performance, and scalability across the installed base, • Reduce install friction and long-term support burden, • Create clarity and consistency through strong documentation and standards Success • Video becomes a major, accelerating revenue engine for DGA, • Systems are consistent, scalable, and operationally efficient, • AI meaningfully improves detection, response times, and differentiation, • DGA consistently wins more complex, high-value opportunities, • Installed systems are stable, high-performing, and easy to support Requirements • 5–10+ years in commercial security, video, or related technology, • Strong IP networking and remote connectivity, • Proven experience designing multi-site, high-availability systems, • Advanced troubleshooting across hardware, software, and networks, • Experience integrating video with monitoring or security platforms, • Strong vendor management and product evaluation experience, • Demonstrated success building or scaling technical programs, • High ownership, strong judgment, and ability to create structure Nice to Have • Deep experience with video surveillance systems (VMS, cameras, infrastructure), • Experience leveraging video system data and analytics to proactively identify issues, improve performance, and enhance monitoring outcomes, • Hands-on experience with AI-based video analytics tools and platforms, • Experience with platforms like OpenEye, Axis, Speco, or similar, • Remote guarding or live video monitoring experience, • Access control or intrusion background This is a high-impact leadership role with the mandate—and visibility—to shape DGA’s next phase of growth. Success in this role opens the door to broader product and technology leadership across the organization. From the moment you walk into our beautiful offices, you get the right entrepreneurial vibe with all the excitement and benefits you would expect. However, DGA is serious about fostering a healthy work/life balance and time spent with the team will confirm that. Most importantly you will have the chance to surround yourself with some of the best and brightest people around. What's In It for You • Competitive compensation with an excellent comprehensive benefits package., • Join a team of experienced, driven professionals who are passionate about what they do., • Make meaningful contributions to our products and company vision, with clear visibility and opportunities for career advancement., • Vibrant company culture that believes in working hard and celebrating together., • Work from our conveniently located office in the heart of Hell’s Kitchen. Benefits and Perks • Comprehensive health insurance includes medical, dental and vision coverage., • 401(k) Retirement Savings Plan with Employer Match, • Exclusive Corporate Discounts, • Commuter Benefits, • Company Paid Life Insurance, • And much more! DGA Security is proud to offer a comprehensive total rewards package. The firm also offers comprehensive health and well-being benefits, personal and professional development, career growth opportunities and a collegial and supportive culture. The anticipated pay range for this role is between $150,000 and $170,000 dollars, which represents our good faith and reasonable estimate of the starting salary range at the time of posting. The actual rate offered for this position will be determined based on job-related, non-discriminatory factors, including qualifications and experience, geographic location, education, external market data and consideration of internal equity DGA is an Equal Opportunity Employer. Here, we believe that embracing innovation is not just a core value, but a responsibility. We are committed to building an inclusive and diverse workplace where everyone, regardless of race, gender, age, disability, sexual orientation, religion, or any other characteristic, feels valued and supported. We provide equal opportunities to all applicants and employees and strive to foster a culture where differences are celebrated, and everyone's voice is heard. Your unique perspectives and experiences are what drive us forward.

The Opportunity There are almost 10 million U.S. students with disabilities and diverse learning needs, and that number is growing every year. The special education coordinators who support them sit at one of the most operationally complex seats in any school, especially in New York. They run the IEP lifecycle, liaise with the Committee on Special Education, support teachers and families, prepare for audits, and own compliance for the school. Most do it with spreadsheets, outdated software, and a calendar full of deadlines they have to remember on their own. Waypoint Learning is an early-stage startup that is developing the AI operating system for special education. Our platform helps teachers draft compliant IEPs, generate curriculum-aligned instructional resources, track student progress, and automates progress monitoring – saving substantial time. One of our bets is that if we pair that platform with a great human, one person can run the special education operation of a school with much greater capacity. This year, we’re piloting that bet with a charter school in the Bronx. We’re hiring our Special Education Manager to be embedded in the school, supported by our platform, and shaping what this role becomes for every school we partner with thereafter. The person who takes this role will help define how Waypoint shows up for schools, with a clear path to grow as we scale from a small set of founding partners to many. Role Description • CSE liaison. You’re the primary point of contact between the school and the Committee on Special Education in the Bronx. You attend CSE meetings, manage the relationships, and represent the school’s students and staff., • Full IEP lifecycle. Evaluation coordination, meeting prep, annual reviews, triennial reevaluations. You use Waypoint to ensure every student’s IEP reflects who they are, what they need, and what’s working., • Compliance and audit-readiness. You own the calendar of deadlines, the documentation trail, and the ability to produce an audit-ready package for SUNY, NYSED, or NYC DOE., • A seat at the leadership table. You attend the school’s leadership meetings as the special education voice, partnering closely with the school’s special education teachers. When the school is making decisions about staffing, scheduling, or instruction, you make sure students with IEPs and their families are part of the conversation from the start and not an afterthought., • The NYC playbook. You’ll codify how we support schools in New York – what works, what doesn’t, what we need to build, and how the next team member we hire learns the role faster than you did., • Product partnership. You’ll surface what’s painful in the daily workflow, push back when something we built doesn’t actually help, and help us decide what to build next. The platform exists to make your job easier, and your honest feedback is how it gets there., • A role that grows. This is the founding role on the school operations side of Waypoint. Where it goes depends partly on us and partly on you – leading a team of Success Leads as we add schools, owning how Waypoint works with school networks, or shaping the broader function as we grow. We’ll figure it out together. Qualifications • Experience as a SPED Coordinator (or equivalent) in NYC. You’ve run an IEP lifecycle, sat across the table from a CSE, and supported teachers and families through hard conversations for at least one year. You know the rhythm of a school year and the unforgiving cadence of compliance deadlines., • Operational ownership. You take responsibility for the whole picture and not just your slice of it. When something falls through the cracks, your instinct is to fix the system, not assign blame. You’ve built or substantially improved a process before, and you have a track record of leaving things better than you found them., • A product-oriented mindset. You’ll be using and shaping Waypoint every day. You don’t need to be technical, but you need to be opinionated about what good software feels like, willing to push back on the founder when something doesn’t work, and genuinely curious about how AI can change this work., • Clear, direct communication. You can speak to a parent, a teacher, a CSE chairperson, a school principal, and a startup founder all in the same day and have each of them feel heard and informed., • Genuine care for students and the people serving them. This role exists to make life better for students with IEPs and the adults who support them. The candidates we want most are the ones who already feel that pull. Nice to Have • NYS Students with Disabilities certification (active or in process), • Experience opening a new school or building a function from scratch., • Familiarity with SUNY-authorized charter schools and the SUNY Charter Schools Institute’s approach to special education compliance., • Experience using or evaluating EdTech tools as a special education coordinator (even better if you’ve been frustrated by them). Compensation This role offers a salary in line with senior NYC SPED Coordinator compensation, paired with a founding equity grant in the company. We’re open to discussing the specific balance of salary and equity based on your priorities. Benefits details will evolve as we grow, but we’re committed to building a sustainable working environment from the start. How to Apply Send an email to Isaac at isaac@waypoint-learning.org with a few sentences about why this role interests you and attach your resume. If there’s a moment in your career you’re especially proud of – an IEP you fought for, a system you built, a student or family that you’ve impacted – we’d love to hear about it. No cover letter required.

Job Title: Data Scientist Duration: 6 Months to hire Location: Newark, NJ Job description: As a Data Scientist supporting U.S. Businesses (USB) Service, Data and Technology organization, you will partner with our diverse team of Engineers, Economists, Computer Scientists, Mathematicians, Physicists, Statisticians and Actuaries tasked with mining our industry-leading internal data to design, build, and deploy production-grade AI capabilities for our businesses. The role requires a rare combination of sophisticated AI engineering expertise; business acumen; strategic mindset; client relationship skills, problem solving; and a passion for generating business impact. This is an exciting opportunity to be a part of a strategic initiative that is evolving and growing over time! In addition to applied experience, you will bring excellent problem solving, communication and teamwork skills, along with agile ways of working, strong business insight, an inclusive leadership demeanor and a continuous learning focus to all that you do. This role is based in our office in Newark, NJ. Our organization follows a hybrid work structure where employees can work remotely and from the office, as needed, based on demands of specific tasks or personal work preferences. This position is hybrid and requires your on-site presence on a reoccurring weekly basis at least 3 days per week. Here is what you can expect in a typical day: • Responsible for the hands-on design and development of production-grade GenAI and Agentic solutions comprising the portfolio developed by the Data Science Lead and the technical requirements specified. Perform hands-on context engineering, agent design, model integration, and end-to-end AI system development., • Design and build AI agent harnesses, orchestration frameworks, and context engineering pipelines; develop and integrate Model Context Protocol (MCP) servers to expose tools, data sources, and enterprise APIs to AI agents in a standardized, secure manner; and implement Agent-to-Agent (A2A) communication patterns and multi-agent architectures to solve complex, multi-step business problems., • Write production-level code and partner with machine learning engineers and platform teams to deliver AI solutions from development through production following the full AI lifecycle., • Continuously research new methods for problem solution, including new algorithms, agentic frameworks, context management techniques, and AI application patterns., • Partner with machine learning engineers to productionize AI solutions. Partner with data engineers to build data pipelines. Partner with software engineers to integrate solutions with business platforms. The Skills and expertise you bring: • Advanced degree (Masters, Ph.D.) in Mathematics, Statistics, Engineering, Econometrics, Physics, Computer Science, Actuarial, Data Science, or comparable quantitative disciplines, • Working on complex problems in which analysis of situations or data requires an in-depth evaluation of various factors. Exercises judgment within broadly defined practices and policies in selecting methods, techniques and evaluation criteria for obtaining results., • Ability to learn new skills and knowledge on an ongoing basis through self-initiative and seeking challenges, • Excellent problem solving, communication and collaboration skills Applied experience with several of the following: • AI Engineering & Production AI Lifecycle: Ability to design, build, and deliver AI systems end-to-end in a production environment. Deep understanding of the AI lifecycle — from problem framing and data preparation through model development, evaluation, deployment, monitoring, and continuous improvement. Experience with CI/CD for AI, model versioning, observability, and responsible AI practices., • Generative AI, Agentic & Context Engineering: Expertise in modern Generative AI and NLP technologies including LLMs, RAG, LangChain, LangGraph, vector databases, etc. Skilled in context engineering — prompt engineering, dynamic context construction, context window management, and structured output design. Experience building AI agent harnesses and orchestration frameworks including scaffolding, tool registries, and evaluation loops. Hands-on experience designing MCP servers to expose enterprise tools and APIs to AI agents, and implementing Agent-to-Agent (A2A) communication patterns and multi-agent architectures to solve complex, multi-step business problems., • Machine Learning: Understanding of machine learning theory, including the mathematics underlying machine learning algorithms. Expertise in the application of machine learning theory to building, training, testing, interpreting and monitoring machine learning models, • Data Acquisition and Transformation: Acquiring data from disparate data sources using API's and SQL. Transform data using SQL and Python. Visualizing data using a diverse tool set including but not limited to Python., • Database Management System: Knowledge of how databases are structured and function in order to use them efficiently. May include multiple data environments, cloud/AWS, primary and foreign key relationships, table design, database schemas, etc., • Data Wrangling: Preparing data for further analysis; Redefining and mapping raw data to generate insights; Processing of large datasets (structured, unstructured)., • AWS DevOps: Experience in the project development life cycle in an AWS environment. Familiar with development, QA, staging and production deployment stages., • Programming Languages: Python, SQL

Contract to hire position with a major financial firm. This position is hybrid to Newark, NJ As a Data Scientist on the Data Science team, you will partner with our diverse team of Engineers, Economists, Computer Scientists, Mathematicians, Physicists, Statisticians and Actuaries tasked with mining our industry-leading internal data to develop new analytics capabilities for our businesses. The role requires a rare combination of sophisticated analytical expertise; business acumen; strategic mindset; client relationship skills, problem solving; and a passion for generating business impact. This is an exciting opportunity to be a part of a strategic initiative that is evolving and growing over time! In addition to applied experience, you will bring excellent problem solving, communication and teamwork skills, along with agile ways of working, strong business insight, an inclusive leadership demeanor and a continuous learning focus to all that you do. Here is what you can expect in a typical day: • Responsible for the hands-on development of sophisticated data science solutions comprising the portfolio developed by the Lead Data Scientist and Actuaries and the technical requirements specified by the Lead Data Scientist and Actuaries. • Perform hands-on data analysis, model development, model training, model testing, model deployment. • Continuously research new methods for problem solution, including new algorithms, modeling techniques, and data analytics techniques. • Write production-level code and partner with machine learning engineers to push development code into production. • Partner with machine learning engineers to productionized machine learning models. Partner with data engineers to build data pipelines. Partner with software engineers to integrate solutions with business platforms. • Work closely with the business and data science lead to recommend and develop models for GI financial underwriting, medical underwriting, marketing analytics and other business use cases. • Manage external vendors in the execution of the data science development process. The Skills and expertise you bring: • Advanced degree (Masters, Ph.D.) in Mathematics, Statistics, Engineering, Econometrics, Physics, Computer Science, Actuarial, Data Science, or comparable quantitative disciplines. • Working on complex problems in which analysis of situations or data requires an in[1]depth evaluation of various factors. Exercises judgment within broadly defined practices and policies in selecting methods, techniques, and evaluation criteria for obtaining results. • Knowledge of business concepts, tools and processes that are needed for making sound decisions in the context of the company's business. Create and test hypotheses for customer engagement and wellness programs. • Experience in research, designing experiments (ex: A/B testing), working with claims and customer experience data. An insurance actuary background is preferred but not required. • Ability to learn creative skills and knowledge on an on-going basis through self[1]initiative and solving challenges., • Excellent problem solving, communication and collaboration skills. Applied experience with several of the following: • Data Acquisition and Transformation: Acquiring data from disparate data sources using API's, SQL and NoSQL. Transform data using SQL, NoSQL, and Python. Visualizing data using a diverse tool set including but not limited to Python and R. • Database Management System: Knowledge of how databases are structured and function in order to use them e8iciently may include multiple data environments, cloud/AWS, primary and foreign key relationships, table design, database schemas, etc. o Knowledge of how to work with data from (do not build) o SQL skills (relational) - CORE / Initial Proficiency o Unstructured (NoSQL) o Graph / ontology (DB Graph) • Model Deployment: Understanding of: MDLC (Model Development Life Cycle), CI/CD/CT pipelines (using tools like Jenkins, CloudBees, Harness etc.), A/B testing. Pipeline frameworks like MLFlow, AWS SageMaker pipeline etc. model and data versioning. • Statistics and Computing: Exceptional understanding of: Calculus, Multivariable Calculus, Linear Algebra, Di8erential Equations, Probability, Statistics, Applied Probability, Applied Statistics, Computer Science (Programming Methodologies), and Cloud. Knowledge of statistical techniques such as the use of descriptive, inferential, bayesian statistics, time series analysis etc. to extract business insights and experimentation to solve business problems • Data Wrangling: Preparing data for further analysis; Redefining and mapping raw data to generate insights; Processing of large datasets (structured, unstructured). • Machine Learning: Understanding of machine learning theory, including the mathematics underlying machine learning algorithms. Expertise in the application of machine learning theory to building, training, testing, and monitoring machine learning models. Understanding and expertise in NLP (natural language processing). • Programming Languages: Python, R, SQL, Java or Scala, SQL, Cypher

Role Overview We are looking for a skilled Data Scientist with strong experience in Time Series Forecasting, Predictive Analytics, and Machine Learning to join a leading analytics consulting engagement. The ideal candidate will have hands-on expertise in developing and deploying forecasting models for business and operational use cases. Key Responsibilities ● Develop, validate, and deploy time series forecasting models for business and operational planning. ● Work on predictive analytics and demand forecasting projects. ● Build ML-driven solutions using statistical and machine learning techniques. ● Analyze large datasets and derive actionable business insights. ● Collaborate with stakeholders to understand business requirements and translate them into analytical solutions. ● Contribute to end-to-end model development lifecycle including feature engineering, model evaluation, deployment, and monitoring. ● Participate in client discussions and present analytical findings effectively. Required Skills ● Strong programming experience in: ○ Python ○ R ○ SQL / NoSQL ○ Spark ● Experience with Cloud Platforms: ○ AWS ○ Azure ○ GCP ● Hands-on experience in: ○ Time Series Forecasting ○ Predictive Analytics ○ Demand Planning ○ Statistical Modeling ● Experience with Python libraries/frameworks such as: ○ NumPy ○ Pandas ○ Scikit-learn ○ TensorFlow ○ BERT ○ Scrapy ● Strong understanding of: ○ Statistics ○ Hypothesis Testing ○ Machine Learning Algorithms Preferred Machine Learning Expertise ● Random Forest ● Neural Networks ● Decision Trees ● Logistic Regression ● K-Means Clustering ● Linear Regression ● PCA Domain Experience Experience in one or more of the following domains is preferred: ● Retail ● Banking ● Insurance ● Supply Chain / Demand Planning Qualifications ● 4–8 years of relevant industry experience. ● Strong communication and stakeholder management skills. ● Prior consulting/client-facing experience is preferred. ● Ability to work in a fast-paced analytics environment.

Job Description GD Resources LLC is seeking a qualified and experienced technician to provide preventative maintenance, inspection, testing, compliance evaluation, and emergency repair services for medical gas systems at the VA New York Harbor Healthcare System. Services shall be performed in accordance with NFPA 99, Veterans Health Administration (VHA) standards and directives, OSHA requirements, manufacturer recommendations, and applicable industry standards. Scope of Services: Preventative Maintenance & Testing The contractor shall provide all labor, supervision, materials, tools, testing instruments, and equipment necessary to perform quarterly preventative maintenance and annual inspection/testing services for the following systems: • Medical Air Systems, • Medical Surgical Vacuum Systems, • Dental Air Systems, • Dental Vacuum Systems, • Medical Oxygen Systems, • Nitrogen Systems, • Nitrous Oxide Systems, • Waste Anesthetic Gas Disposal (WAGD) Systems Services shall include, but are not limited to: • Inspection and testing of alarms, gauges, valves, outlets, inlets, pipelines, and control panels, • Flow, pressure, purity, particulate contamination, and dew point testing, • Leak detection and operational pressure testing, • Inspection of compressors, pumps, filters, drains, belts, dryers, and monitoring systems, • Verification of labeling, installation integrity, brazing, supports, and identification, • Testing for crossed lines and system contamination, • Maintenance and adjustment of terminal units, locking mechanisms, O-rings, and fittings, • Calibration and verification of alarm systems and warning devices, • Medical air purity testing in accordance with NFPA 99 standards, • Minor corrective maintenance during inspections at no additional cost System Evaluation & Compliance The contractor shall evaluate all existing oxygen, medical air, medical vacuum, and nitrous oxide systems for compliance with: • NFPA 99, • VHA standards and directives, • Manufacturer requirements, • Applicable healthcare and safety regulations Emergency & Urgent Repair Services The contractor shall provide emergency and urgent response services as required: • Emergency response within one (1) hour, 24/7, • Urgent response within four (4) hours, • Continuous repair efforts until system functionality is restored Reporting Requirements The contractor shall submit inspection and testing reports within five (5) business days following service completion. Reports shall include: • Cover sheet, • Property/facility information, • Detailed test results, • Certifications and inspector signatures, • Documentation of deficiencies or recommended repairs Required Qualifications: • ASSE 6030 Medical Gas Systems Verifier Certification, • ASSE 6040 Medical Gas Maintenance Certification, • Minimum of five (5) years of experience performing inspection, testing, maintenance, and repair of medical gas systems, • Demonstrated experience working in healthcare or critical care environments, • Thorough knowledge of NFPA 99, OSHA requirements, Joint Commission standards, and VHA directives, • Ability to provide emergency and urgent repair response services GD Resources LLC is seeking a qualified contractor capable of delivering reliable, compliant, and professional medical gas maintenance and testing services in support of critical healthcare operations. Powered by JazzHR X2tY2Nx6dk

At Wayve we're committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, veteran status, pregnancy or related condition (including breastfeeding) or any other basis as protected by applicable law. Founded in 2017, Wayve is the leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems. Our vision is to create autonomy that propels the world forward. Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving. In our fast-paced environment big problems ignite us—we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future. At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact. Make Wayve the experience that defines your career! As the Engineering Manager of Collision Avoidance, you will lead a development team focused on preventing and mitigating safety-critical collision scenarios. This team develops models that tackle fundamental questions about how we can guarantee the high bar of safety for end-to-end systems, and enable configurability, interpretability, and validation at scale. These models play a significant role in enabling L2+, L3, and beyond, requiring innovation in both algorithms and validation strategies. We are looking for a system-oriented leader with cross-functional experience that is able to bring the worlds of machine learning, controls, and safety together. Key responsibilities: • Help define and drive the Collision Avoidance roadmap, lead technical discussions and guide direction where needed., • Build a resilient team which prioritises effectively, anticipates the needs of the business, and maintains a culture of impact., • Understand Wayve’s end-to-end approach and how it maps to AV 1.0, drawing parallels in our development story and highlighting key advantages. This may include external engagements where necessary., • Dive into data analytics, constructing evaluation suites, and get in-vehicle experiences from time to time to ground your understanding of the system., • Drive cross-functional initiatives through effective communication, working through organisational boundaries when necessary to deliver on company goals and priorities. In order to set you up for success as an Engineering Manager at Wayve, we’re looking for the following skills and experience. Essential • Proven track record of managing engineering teams., • Solid understanding of machine learning fundamentals., • Experience with roadmap planning, stakeholder management, requirements gathering and alignment with peers towards milestones and deliverables., • Track record of promoting software engineering best practices and excellence within the team., • Demonstrated ability to manage software engineers and grow their careers., • Good foundational coding knowledge and experience. Desirable • Experience with planning, control, and systems integration for autonomous vehicles., • Experience with performance evaluation of embodied AI systems., • Development experience in C++., • Experience with generative AI and simulation platforms., • Experience developing ML systems., • Knowledge of automotive safety regulations and their development processes. This is a full-time role based in our office in Sunnyvale. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We operate core working hours so you can determine the schedule that works best for you and your team. We understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. If you’re passionate about self-driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply. For more information visit _ To learn more about what drives us, visit _ DISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory.

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 and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. 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. As a Solutions Architect, you’ll be a trusted advisor to GitLab prospects and customers in the Seattle area, helping them understand how GitLab’s DevSecOps platform addresses both technical requirements and business objectives across the entire software development lifecycle. You’ll guide organizations through their digital transformation journeys, from planning through monitoring, using your technical expertise, understanding of cloud and modern software development practices, and strong customer empathy. Reporting to a regional Solutions Architect manager and partnering closely with Account Executives and cross-functional teams, you’ll own technical evaluations (including proof of value initiatives and workshops), shape solution architectures, and serve as the voice of the customer back to Product Management. In your first year, you’ll focus on driving successful platform adoption, influencing revenue growth through solution selling, and building long-term, trust-based relationships that showcase GitLab’s differentiated position in an AI-driven DevSecOps landscape. • Lead technical discovery, demos, and validation (including proofs of value) to show how GitLab’s AI-powered DevSecOps platform meets customers’ technical and business needs across the full lifecycle., • Drive the technical evaluation process as the Directly Responsible Individual, including solution design, POC/POV ownership, workshop design, and the technical components of tenders, audits, and value stream assessments., • Collaborate with Account Executives and regional sales teams in North America to shape and execute account strategies that support new customer acquisition and expansion., • Build and deepen relationships with technical practitioners and business leaders, guiding them through GitLab-driven digital transformation and enabling them to become GitLab advocates., • Advise customers on modern software development, continuous integration, continuous deployment, security, and cloud practices, challenging existing approaches to improve return on investment., • Serve as the voice of the customer with Product Management, Engineering, Sales, and Marketing by sharing feedback, use cases, and competitive insights that inform roadmap and positioning., • Maintain and extend your technical expertise in GitLab, DevSecOps, AI, and related cloud technologies, creating reusable examples, best practice guidance, and technical collateral for customers and partners., • Invest in your own growth and development through ongoing learning, mentorship, and knowledge sharing to continuously improve the impact of the Solutions Architect team., • Experience engaging with customers in technical pre-sales, consulting, or similar roles, guiding them through solution design and evaluation., • Proficiency with the end-to-end software development lifecycle, including modern DevSecOps practices and continuous integration and continuous deployment workflows., • Hands-on experience with GitLab or comparable source control, CI/CD, and collaboration platforms, and the ability to map platform capabilities to customer use cases., • Practical knowledge of cloud computing concepts and related technologies, with the ability to discuss deployment, security, and operations options with technical teams., • Ability to lead technical evaluations such as proofs of concept or proofs of value, contribute to tenders or audits, and design and run workshops or value stream assessments., • Clear technical communication and presentation skills, with the ability to adapt messages for practitioners through to senior business and technical decision makers., • Skill in building trusted relationships, listening with empathy, and acting as a customer advocate to internal teams such as Product, Engineering, Sales, and Marketing., • Motivation to continuously develop professionally, including learning new technologies, deepening GitLab platform expertise, and applying transferable experience from related fields. We, the Solutions Architect team, are part of GitLab’s Sales organization and serve as the technical counterpart to Account Executives, with this role focused on opportunities in North America and reporting into a regional Solutions Architect Manager. Our mission is to help customers realize the full value of GitLab’s AI-powered DevSecOps platform by advising on architecture, running technical evaluations such as proofs of value, and guiding customers through their digital transformation. We work closely with Sales, Product Management, Engineering, and Marketing, collaborating asynchronously across regions to share best practices, create reusable technical collateral, and act as the voice of the customer. We are focused on helping customers modernize end-to-end software delivery, adopt GitLab at scale, and navigate a rapidly evolving AI and DevSecOps landscape. #LI-DNI 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 and . Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. United States Salary Range $90,300 - $193,500 USD How GitLab will support you • _, • _, • _, • _, • _, • _, • _ support 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 _ 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 _ 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 and . If you have a disability or special need that requires , please let us know during the .

At Serko, we believe something incredible happens when people come face-to-face. That’s why we’re on a mission to engineer a frictionless, next-generation business travel marketplace. We don’t just manage travel; we are leveraging advanced AI and cutting-edge tech to eliminate the complexity of global movement. When you join Serko, you join a global collective of passionate technologists who show up as their true selves to build world-class products. With established hubs across New Zealand, Australia, North America, India and China - your code and ideas will impact millions of corporate travelers worldwide. If you're ready to challenge the status quo and build the future of travel tech, your next journey starts here. In this role, you will champion the developer experience by building the internal platform and tooling that every AI engineer at our company trusts and relies on. You’ll craft intuitive dashboards, user-friendly CLI tools, clean APIs, and elegant automation. We’re hiring 2 x Senior Full Stack Engineer to own the end-to-end development of our next-gen AI products. Your work will ensure that deploying and operating AI models is a seamless, safe, and empowering self-service journey, allowing our entire engineering community to thrive and scale together. What You’ll Do Craft Beautiful Internal UIs: Develop intuitive and accessible internal platform interfaces—such as dashboards, model registries, and experiment trackers—using React and Next.js to elevate our internal developer experience. Nurture Backend Infrastructure: Design and support reliable backend services and APIs in Python, ensuring our application teams can seamlessly tap into the platform's full capabilities. Build Safe, Sustainable Automation: Create and refine thoughtful automation for model deployment, rollbacks, and scaling workflows using scripts, APIs, and Infrastructure as Code (IaC), embedding safety and predictability into every release. Cultivate System Visibility: Weave monitoring and observability tools (such as Grafana, Prometheus, DataDog, and LangSmith) directly into the platform, giving our teams the clarity and insights they need to succeed. Champion Code Quality & Trust: Write comprehensive testing, evaluation, and validation logic for machine learning pipeline components to ensure high reliability and product excellence. Partner with Internal Teams: Act as a supportive resource for our internal engineering community, listening to their experiences and gathering empathetic feedback to continuously iterate on our tooling. Share Knowledge Generously: Foster a collaborative environment by documenting systems clearly and contributing to engineering wikis and runbooks so that the entire team can grow together. What you'll bring We believe that exceptional engineering stems from continuous growth and diverse experiences. We are looking for a collaborative partner who has spent 5+ years honing their craft in full-stack engineering and wants to make a lasting impact on our developer community. You will be a great fit if you bring: Core Backend Comfort: A deep comfort with Python, paired with hands-on experience building dependable backend services and clean REST APIs. An Eye for Internal Tooling: A genuine appreciation for crafting responsive dashboards and internal tools using TypeScript and React. Production AI Experience: Experience caring for and managing machine learning-based applications within a live production ecosystem. Cloud & DevOps Literacy: A foundational comfort navigating cloud platforms (AWS, GCP, or Azure), alongside a basic understanding of Docker and Kubernetes. A Collaborative Spirit: A history of working hand-in-hand with data or machine learning engineering teams, respecting and learning from different technical perspectives. Understanding of System Flow: A solid foundational understanding of databases, job queuing systems, and asynchronous workflows. Creative Problem-Solving: A natural curiosity and comfort when facing open-ended or ambiguous technical challenges, with the ability to turn abstract ideas into structured, clear steps forward. At Serko, we aim to create a place where people can come and do their best work. This means you’ll be operating in an environment with great tools and support to enable you to perform at the highest level of your abilities, producing high-quality and delivering innovative and efficient results. Our people are fully engaged, continuously improving, and encouraged to make an impact. Some of the benefits of working at Serko are: • A competitive base pay, • Medical Benefits, • Discretionary incentive plan based on individual and company performance, • Focus on development: Access to a learning & development platform and opportunity for you to own your career pathways, • Flexible work policy, • The pay range is between $152,000 - $230,000 USD as a base salary offering annually. A Note on Work Authorization: Applicants must be authorized to work for any employer in the U.S. At this time, we are unable to provide sponsorship or assume sponsorship for employment visa status (e.g., H-1B visa status).

About the Job: LaunchDarkly is looking for an experienced Frontend Engineer to play a key role in shaping the future of software delivery on the Guarded Releases team. In a world where agents are delivering code faster and more reliably, releasing safely is no longer optional infrastructure; it’s a competitive advantage. The Guarded Releases team is focused on making every release safer, faster, and more reliable. Our mission is to redefine how software is released: automating release processes, measuring the real-time impact of feature rollouts, and simplifying debugging when things go wrong. From automated release pipelines to metrics monitoring, error tracking, and fully automated rollbacks, our work ensures every code change is measured, and the entire release process from rollout to issue mitigation is managed for maximum efficiency and reliability. We are solving critical challenges in modern software delivery: reducing the time it takes to detect regressions, automating responses to minimize risk, and eliminating manual effort. We extensively use the products we build, allowing us to create our own ideal release process while shaping the developer experience for teams across the industry. If you’re interested in building the systems that help software teams ship safely at scale, we’d love to work with you. Responsibilities: Collaborate seamlessly with cross-functional partners (product, design, data science, and engineering) to architect and advance our observability products. Leverage your broad experience to facilitate strategic discussions that align technical solutions with business goals, ensuring the delivery of scalable and effective features. Drive comprehensive end-to-end feature development, taking full ownership from proof of concept through to delivery. Ensure that each feature provides robust observability into system behavior and customer usage patterns post-launch, applying a deep understanding of both technical and user experience considerations to optimize feature performance and reliability. Proactively identify opportunities for product and user experience improvements, leveraging data insights and feedback to propose innovative, well-reasoned solutions. Lead the implementation of these enhancements, balancing user needs, business goals, and technical feasibility, ensuring each change drives meaningful improvements in engagement and performance. Provide expert mentorship and support to teammates, guiding them through complex challenges and fostering a collaborative, high-performance environment. Your deep expertise will help accelerate their growth, elevate team standards, and enhance overall productivity and technical excellence. Actively lead and contribute to code reviews, spec reviews, and architecture design, ensuring alignment with best practices, long-term scalability, and maintainability. Your experience will drive thorough and thoughtful evaluation of solutions, while providing constructive feedback that elevates the quality of the codebase. Play a key role in advancing engineering standards, tooling, and processes across the technology organization. By identifying areas for improvement and implementing process innovations, you will shape a more efficient and effective development environment, empowering teams to deliver high-quality features faster. Stay at the forefront of frontend development trends, experimentation, and data-driven product evolution, bringing deep expertise to suggest and implement forward-thinking improvements in tools, processes, and methodologies. Your proactive involvement in continuous learning and improvement will help ensure the team remains competitive and cutting-edge in its approach to building user-focused products. Qualifications: 5+ years of software development experience with a focus on frontend development, or equivalent demonstrable skills and experience. Proficiency with modern JavaScript libraries and tooling, such as React. Experience building data-focused products such as experimentation platforms, analytics dashboards, or large-scale data visualizations. Proficient in designing, implementing, and maintaining RESTful APIs Experience working directly with customers and understands how their work impacts business goals Strong sense of ownership and accountability for delivering impactful solutions Proven ability to work closely and collaborate with cross functional partners, like product, design, and data scientists. Demonstrated ability to write clean, well-documented, and testable code with a focus on maintainability and extensibility. Strong understanding of observability and monitoring tools and practices. Excellent communication, collaboration, and interpersonal skills. A proactive and self-directed approach to work. Experience in a fast-paced, dynamic environment. Experience working with distributed teams. Pay: Target pay ranges based on Geographic Zones* for Level 3: • Zone 1: San Francisco/Bay Area or NYC Metropolitan Area, Boston, Seattle - $171,200 - $235,400**, • Zone 2: Irvine, LA, Monterey, Santa Barbara, Santa Rosa, Austin, Portland, Philadelphia, Chicago - $154,100 - $211,860**, • Zone 3: All other US locations - $145,500 - $200,090 LaunchDarkly operates from a place of high trust and transparency; we are happy to state the pay range for our open roles to best align with your needs. Exact compensation may vary based on skills, experience, and location. *Within the United States, our geographic pay zones are defined by counties surrounding major metropolitan areas. **Restricted Stock Units (RSUs), health, vision, and dental insurance, and mental health benefits in addition to salary. About LaunchDarkly: Modern software delivery was supposed to be the foundation for a thriving digital business but reality has proven otherwise. Slow, inefficient development cycles, costly outages, and fragmented customer experiences are preventing developers from building their best software. The LaunchDarkly platform helps developers innovate on new features faster while protecting them with a safety valve to instantly rewind when things go wrong. Developers can target product experiences to any customer segment and maximize the business impact of every feature. And by gradually rolling out new application components, they escape nightmare "big-bang" technology migrations. The LaunchDarkly platform was built to guide engineers to the next frontier of DevOps by: • Improving the velocity and stability of software releases, without the fear of end customer outages, • Delivering targeted experiences by easily personalizing features to customer cohorts, • Maximizing the business impact of every feature through the ability to experiment and optimize, • Coordinating the release and optimization of software to provide consistent experiences across mobile platforms and device types, • Improving the effectiveness and productivity of engineering teams, by providing insights into engineering cadence and stability At LaunchDarkly, we believe in the power of teams. We're building a team that is humble, open, collaborative, respectful and kind. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status. LD invites any applicant to review our written Affirmative Action Plan. To do so, contact People Ops at _. Do you need a disability accommodation? Fill out this _ and someone from our People Operations team will contact you for assistance.

Figma is growing our team of passionate people on a mission to make design accessible to all. , Figma helps entire product teams , design and build better products — from start to finish. Whether it’s consolidating tools, simplifying workflows, or collaborating across teams and time zones, Figma makes the design process faster, more efficient, and fun while keeping everyone on the same page. From great products to long-lasting companies, we believe that nothing great is made alone—come _ with us! Figma is seeking a versatile and experienced Machine Learning / AI Engineer to join our growing AI team, working at the intersection of applied machine learning, infrastructure, and product innovation. Whether you’re building intelligent search systems, crafting scalable data pipelines, or enhancing AI-powered creativity tools, your work will drive user productivity, shape new product experiences, and advance the state of AI at Figma. You’ll collaborate closely with engineers, researchers, designers, and product managers across multiple teams to deliver high-quality ML-driven features and infrastructure. This is a high-impact, cross-functional role where you’ll shape both foundational systems and user-facing capabilities. This is a full time role that can be held from one of our US hubs or remotely in the United States. • Design, build, and productionize ML models for Search, Discovery, Ranking, Retrieval-Augmented Generation (RAG), and generative AI features., • Build and maintain scalable data pipelines to collect high-quality training and evaluation datasets, including annotation systems and human-in-the-loop workflows., • Collaborate with AI researchers to iterate on datasets, evaluation metrics, and model architectures to improve quality and relevance., • Work with product engineers to define and deliver impactful AI features across Figma’s platform., • Partner with infrastructure engineers to develop and optimize systems for training, inference, monitoring, and deployment., • Explore new ideas at the edge of what’s technically possible and help shape the long-term AI vision at Figma., • 5+ years of industry experience in software engineering, with 3+ years focused on applied machine learning or AI., • Strong experience with end-to-end ML model development, including training, evaluation, deployment, and monitoring., • Proficiency in Python and familiarity with ML libraries like PyTorch, TensorFlow, Scikit-learn, Spark MLlib, or XGBoost., • Experience designing and building scalable data and annotation pipelines, as well as evaluation systems for AI model quality., • Experience mentoring or leading others and contributing to a culture of technical excellence and innovation., • Familiarity with search relevance, ranking, NLP, or RAG systems., • Experience with AI infrastructure and MLOps, including observability, CI/CD, and automation for ML workflows., • Experience working on creative or design-focused ML applications., • Knowledge of additional languages such as C++ or Go is a plus, but not required., • A product mindset with the ability to tie technical work to user outcomes and business impact., • Strong collaboration and communication skills, especially when working across functions (engineering, product, research). At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Pay Transparency Disclosure If based in Figma’s San Francisco or New York hub offices, this role has the annual base salary range stated below. Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. The listed range is a guideline, and the range for this role may be modified. For roles that are available to be filled remotely, the pay range is localized according to employee work location by a factor of between 80% and 100% of range. Please discuss your specific work location with your recruiter for more information. Figma offers equity to employees, as well a competitive package of additional benefits, including health, dental & vision, retirement with company contribution, parental leave & reproductive or family planning support, mental health & wellness benefits, generous PTO, company recharge days, a learning & development stipend, a work from home stipend, and cell phone reimbursement. Figma also offers sales incentive pay for most sales roles and an annual bonus plan for eligible non-sales roles. Figma’s compensation and benefits are subject to change and may be modified in the future. Annual Base Salary Range (SF/NY Hub): $149,000 - $350,000 USD At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an _ - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to _. These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities. Examples of accommodations include but are not limited to: • Holding interviews in an accessible location, • Enabling closed captioning on video conferencing, • Ensuring all written communication be compatible with screen readers, • Changing the mode or format of interviews To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with _.

Location: Remote (with occasional travel) Base Location: Salt Lake City, UT, US Employment Type: Full-time Salary Range: $150K - $260K (Based on YOE; potential flexibility for more tenured candidates) We are a rapidly growing, well-funded technology company trusted by enterprise clients, developing a leading AI-powered platform for a specialized professional sector. Join our small, highly efficient engineering team to take ownership of complex systems and ship features quickly in a high-velocity, modern tech stack environment. We are looking for a Staff, Senior, or Principal Software Engineer with a strong background in software engineering leadership to drive the design, implementation, and reliability of our core product. You will take full ownership of features from concept to production in a distributed, modern stack. • Ship features rapidly within an Elixir/Phoenix/LiveView monolithic application, taking full accountability for the entire feature lifecycle, from design through deployment., • Build and maintain numerous third-party integrations (currently 30+) using consistent adapter patterns and the Tesla/Finch HTTP client stack., • Work within and enhance a distributed Elixir environment (libcluster on Kubernetes) to ensure exceptional scalability, reliability, and performance., • Contribute to system quality by utilizing LiveView tests, Hammox for contract testing, and Wallaby for end-to-end user flows., • Utilize advanced observability tools (GCP logging, AppSignal, Prometheus, Grafana) to debug complex systems and continuously improve performance., • Engage directly with cutting-edge LLM-powered features, including prompt routing, caching, JSON mode, function calling, embeddings (pgvector), and evaluation frameworks., • Collaborate on a fully defined, version-controlled infrastructure where all components are managed by Terraform within a GCP/GKE environment., • Embrace an author ownership culture: write, test, ship, and be responsible for the reliability of your code in production., • Experience: 5+ years of experience in a software engineering leadership role (Staff, Senior, Principal, or equivalent)., • Core Proficiency: Strong, practical experience with the Elixir, Phoenix, and LiveView framework., • Distributed Systems: Experience designing and debugging distributed applications running on platforms like Kubernetes (GKE)., • Testing/Quality: Proven ability to implement comprehensive testing strategies, including LiveView tests and E2E testing., • Infrastructure as Code (IaC): Direct experience with Terraform for managing cloud and application infrastructure., • AI/LLMs (Preferred): Familiarity or experience with developing robust systems that utilize LLMs (e.g., prompt engineering, caching, function calling, or vector databases like pgvector)., • Ownership: A demonstrated history of taking features from end-to-end, including high commitment to production reliability and performance monitoring., • Work Style: Thrives in a high-velocity culture with daily small feature/bug fix deployments and multi-day, rather than multi-week, feature cycles., • Highly competitive salary package ($150K - $260K) based on experience., • Meaningful early-stage equity (0.066% - 0.1%)., • Fully Remote work arrangement, offering flexibility (occasional travel for team collaboration is encouraged)., • Work with a modern and highly efficient tech stack including Elixir, Phoenix, LiveView, Rust/Rustler, and Terraform/GCP/GKE., • The opportunity to build industry-leading AI tools that automate mission-critical tasks for enterprises. Due to the high volume of applications we anticipate, we regret that we are unable to provide individual feedback to all candidates. If you do not hear back from us within 4 weeks of your application, please assume that you have not been successful on this occasion. We genuinely appreciate your interest and wish you the best in your job search. Commitment to Equality and Accessibility: At MLabs, we are committed to offer equal opportunities to all candidates. We ensure no discrimination, accessible job adverts, and providing information in accessible formats. Our goal is to foster a diverse, inclusive workplace with equal opportunities for all. If you need any reasonable adjustments during any part of the hiring process or you would like to see the job-advert in an accessible format please let us know at the earliest opportunity by emailing human-resources@mlabs.city. MLabs Ltd collects and processes the personal information you provide such as your contact details, work history, resume, and other relevant data for recruitment purposes only. This information is managed securely in accordance with MLabs Ltd’s Privacy Policy and Information Security Policy, and in compliance with applicable data protection laws. Your data may be shared only with clients and trusted partners where necessary for recruitment purposes. You may request the deletion of your data or withdraw your consent at any time by contacting legal@mlabs.city.

The electrical grid isn’t flashy — but it powers everything. Homes, hospitals, factories, and entire cities depend on infrastructure that is always on, carefully regulated, and engineered for resilience. When it works, no one notices. When it doesn’t, everything stops. Domestic Wires plays that role at Mercury. We own the engineering behind secure, compliant, and reliable domestic wire transfers — enabling businesses to move significant amounts of capital with precision and trust. The systems we build must balance speed with safety, scale with strict controls, and product flexibility with regulatory requirements. As a Senior Engineer, you’ll operate at the core of Mercury’s money movement platform. You’ll design and evolve high-reliability systems, influence technical strategy, partner across product, risk, and banking* teams, and mentor others as we scale. This is an opportunity to work on infrastructure where durability, clarity, and strong judgment matter as much as raw speed. *Mercury is a fintech company, not an FDIC-insured bank. Banking services provided through Choice Financial Group and Column N.A., Members FDIC. What You’ll Do • Lead Projects End-to-End: Drive technical projects from concept to production. Define solutions, analyze tradeoffs, make critical decisions, and deliver software that works today and is sustainable for tomorrow., • Collaborate Across Functions: Partner with product, design, and business stakeholders to shape initiatives. Translate between technical and non-technical audiences to ensure clarity, alignment, and buy-in., • Code Craftsmanship: Write clear, testable, and maintainable code. Establish patterns and best practices that your team can follow, ensuring long-term scalability and reliability., • Build for Quality & Sustainability: Design extensible systems, make balanced decisions on tech debt, plan careful rollouts, and own the quality of your work through post-launch monitoring., • Think Product, Not Just Code: Approach problems with a product mindset. You care as much about the business impact of what you build as the technical design., • Mentor & Elevate: Coach engineers on your team by sharing patterns, practices, and critical thinking to raise the technical bar and foster a culture of sustainable engineering. What You Bring • Seven or more years of backend software engineering experience., • Proven experience leading technical projects at scale, including planning, execution, and stakeholder management., • Experience maintaining and improving legacy systems., • Clear and persuasive communication skills — you can articulate tradeoffs and influence decisions across teams, communicating clearly with non-technical stakeholders., • A mindset that balances urgency with craftsmanship: shipping fast, without cutting corners on quality engineering., • Creativity and adaptability — you think beyond the obvious and find solutions that move both product and business forward., • A track record of mentoring engineers and helping teams grow. If this role interests you, we invite you to explore our public demo at _. The total rewards package at Mercury includes base salary, equity, and benefits. Our salary and equity ranges are highly competitive within the SaaS and fintech industry and are updated regularly using the most reliable compensation survey data for our industry. New hire offers are made based on a candidate’s experience, expertise, geographic location, and internal pay equity relative to peers. Our target new hire base salary ranges for this role are the following: • US employees: $200,700 - $250,900, • Canadian employees: CAD $189,700 - $237,100 Mercury values diversity & belonging and is proud to be an Equal Employment Opportunity employer. All individuals seeking employment at Mercury are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation, or any other legally protected characteristic. We are committed to providing reasonable accommodations throughout the recruitment process for applicants with disabilities or special needs. If you need assistance, or an accommodation, please let your recruiter know once you are contacted about a role. We use Covey as part of our hiring and / or promotional process for jobs in NYC and certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using _on January 22, 2024. _ #LI-MM1

About the role: Connected Asset Maintenance (CAM) is one of Samsara’s fastest-growing software bets: a brand-new product area focused on transforming asset and fleet maintenance from reactive, paper-based workflows into AI-driven, predictive maintenance programs. We’re building a modern platform that uses rich IoT and telematics data, intuitive interfaces, and centralized workflows to help customers reduce downtime, extend asset life, and run more efficient operations. We are seeking a Staff Software Engineer to serve as a technical anchor for CAM. In this role, you will lead the design and evolution of our predictive maintenance platform, partnering closely with product, data science/ML, design, and customers to build and scale high-impact capabilities for our customers. You’ll be responsible for shaping the architecture for ML-powered features — from time-series modeling and data pipelines to APIs and customer-facing workflows — and for raising the engineering bar across the team. This role is remote and open to candidates residing in the US. Relocation assistance will not be provided for this role. You should apply if: • You want to impact the industries that run our world: The software, firmware, and hardware you build will result in real-world impact—helping to keep the lights on, get food into grocery stores, and most importantly, ensure workers return home safely., • You want to build for scale: With over 2.3 million IoT devices deployed to our global customers, you will work on a range of new and mature technologies driving scalable innovation for customers across industries driving the world's physical operations., • You are a life-long learner: We have ambitious goals. Every Samsarian has a growth mindset as we work with a wide range of technologies, challenges, and customers that push us to learn on the go., • You believe customers are more than a number: Samsara engineers enjoy a rare closeness to the end user and you will have the opportunity to participate in customer interviews, collaborate with customer success and product managers, and use metrics to ensure our work is translating into better customer outcomes., • You are a team player: Working on our Samsara Engineering teams requires a mix of independent effort and collaboration. Motivated by our mission, we’re all racing toward our connected operations vision, and we intend to win—together. In this role, you will: • Define and drive the technical strategy for CAM’s predictive maintenance platform, including architecture for data ingestion, feature engineering, model serving, and customer-facing workflows., • Lead the design and implementation of new predictive models and data products, working closely with ML/data partners to move from proof-of-concept to robust, monitored, and continuously improving production systems., • Own and evolve large-scale, distributed systems that process high-volume time-series and event data from Samsara devices and third-party sources, ensuring reliability, performance, and cost efficiency as we grow., • Collaborate across the stack (backend, web, and potentially mobile) to deliver end-to-end features—APIs, data models, business logic, and intuitive UI flows—that bring predictive insights into day-to-day maintenance workflows., • Partner with product, design, and customer-facing teams to define the roadmap, translate ambiguous business problems into clear technical projects, and measure the impact of what we ship (e.g., reduced breakdowns, fewer emergency repairs, improved shop throughput)., • Mentor and multiply other engineers on the team through code reviews, design reviews, technical coaching, and by setting high standards for quality, reliability, and velocity. Minimum requirements for the role: • Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience., • 8+ years of experience in software design and development, including building and operating production systems at scale., • 3+ years building data-intensive or ML-backed products, such as forecasting systems, anomaly detection, recommendation systems, or other high-complexity predictive models (e.g., in fintech, health, reliability, or similar domains)., • Strong programming fundamentals and deep proficiency in Python for backend and data/ML-related services., • Experience designing and operating distributed systems or large-scale microservices (e.g., event-driven architectures, time-series storage, streaming or batch data pipelines)., • Demonstrated experience leading cross-team or cross-org projects from inception through rollout, including managing ambiguity, driving alignment, and delivering measurable business impact., • Strong communication skills and the ability to translate between technical and non-technical stakeholders, especially when discussing trade-offs around reliability, performance, and model accuracy. Proven ability to "sit with the customer" to deeply understand operational pain points, translating vague real-world maintenance challenges into high-impact technical requirements and intuitive AI-driven products. An ideal candidate also has: • Master’s degree in Computer Science + Artificial Intelligence., • Expertise with time-series data and forecasting techniques, including feature engineering, evaluation, and productionization for predictive maintenance or similar use cases., • Hands-on experience with MLOps practices and tooling (e.g., model deployment, monitoring, versioning, experimentation platforms) in partnership with data/ML teams., • Experience with full-stack development using technologies such as Go, TypeScript/JavaScript, React, GraphQL, or similar modern stacks in large-scale SaaS applications., • Background working with industrial, fleet, or equipment data (e.g., telematics, fault codes, work orders, inspections) and an interest in learning the maintenance domain in depth., • Proven track record of mentoring senior engineers and influencing engineering culture, standards, and best practices beyond a single team.

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. We are looking for a cybersecurity expert to lead our efforts to prevent AI misuse in the cyber domain. As a Cyber Harms Technical Policy Manager, you will lead a team applying deep technical expertise to inform the design of safety systems that detect harmful cyber behaviors and prevent misuse by sophisticated threat actors. Working closely with Research Engineers who build these safety systems, you and your team will provide the critical cybersecurity domain knowledge needed to ensure our safeguards are effective against real-world threats. You will be at the forefront of defining what responsible AI safety looks like in the cybersecurity domain, working across research, policy, and engineering to translate complex cyber threat concepts into concrete technical safeguards and actionable policies. This is a unique opportunity to shape how frontier AI models handle dual-use cybersecurity knowledge—balancing the tremendous potential of AI to advance legitimate security research and defensive capabilities while preventing misuse by malicious actors. • Lead and grow a team of technical specialists focused on cyber threat modeling and evaluation frameworks, • Design and oversee execution of capability evaluations ("evals") to assess the cyber-relevant capabilities of new models, • Create comprehensive cyber threat models, including attack vectors, exploit chains, precursor identification, and weaponization techniques, • Develop and iterate on usage policies that govern responsible use of our models for emerging capabilities and use cases related to cyber harms, • Serve as the primary domain expert on cyber harms, advising cross-functional teams on threat landscapes and mitigation strategies, • Collaborate closely with internal and external threat modeling experts to develop training data for safety systems, and with ML engineers to train these systems, optimizing for both robustness against adversarial attacks and low false-positive rates for legitimate security researchers, • Analyze safety system performance in traffic, identifying gaps and proposing improvements, • Conduct regular reviews of existing policies and enforcement systems to identify and address gaps and ambiguities related to cybersecurity risks, • Develop rigorous stress-testing of safeguards against evolving cyber threats and product surfaces, • Partner with Research, Product, Policy, Security Team, and Frontier Red Team to ensure cybersecurity safety is embedded throughout the model development lifecycle, • Translate cybersecurity domain knowledge into actionable safety requirements and clearly articulated policies, • Contribute to external communications, including model cards, blog posts, and policy documents related to cybersecurity safety, • Monitor emerging technologies and threat landscapes for their potential to contribute to new risks and mitigation strategies, and strategically address these, • Mentor and develop team members, fostering a culture of technical excellence and responsible AI development, • An M.S. or PhD in Computer Science, Cybersecurity, or a related technical field, OR equivalent professional experience in offensive or defensive cybersecurity, • 5+ years of hands-on experience in cybersecurity, with deep expertise in areas such as vulnerability research, exploit development, network security, malware analysis, or penetration testing, • 2+ years of experience managing technical teams or leading complex technical projects with multiple stakeholders, • Experience in scientific computing and data analysis, with proficiency in programming (Python preferred), • Deep expertise in modern cybersecurity, including both offensive techniques (vulnerability research, exploit development, penetration testing, malware analysis) and defensive measures (detection, monitoring, incident response), • Demonstrated ability to create threat models and translate technical cyber risks into policy frameworks, • Familiarity with responsible disclosure practices, vulnerability coordination, and cybersecurity frameworks (e.g., MITRE ATT&CK, NIST Cybersecurity Framework, CWE/CVE systems), • Strong analytical and writing skills, with the ability to navigate ambiguity and explain complex technical concepts to non-technical stakeholders, • Experience developing policies or guidelines at scale, balancing safety concerns with enabling legitimate use cases, • A passion for learning new skills and an ability to rapidly adapt to changing techniques and technologies, • Comfort working in a fast-paced environment where priorities may shift as AI capabilities evolve, • Track record of translating specialized technical knowledge into actionable safety policies or enforcement guidelines, • Background in AI/ML systems, particularly experience with large language models, • Experience developing ML-based security systems or adversarial ML research, • Experience working with defense, intelligence, or security organizations (e.g., NSA, CISA, national labs, security contractors), • Published security research, disclosed vulnerabilities, or participated in bug bounty programs, • Understanding of Trust & Safety operations and content moderation at scale, • Certifications such as OSCP, OSCE, GXPN, or equivalent demonstrating technical depth, • Understanding of dual-use security research concerns and ethical considerations in AI safety The annual compensation range for this role is 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. Our total compensation package for full-time employees includes equity and benefits. Annual Salary: $320,000 - $405,000 USD Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. 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 _ directly for confirmed position openings. 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. 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 _ for using AI in our application process

About Otto Aerospace OTTO is developing the world’s first fifth-generation business jet, designed for sustainability through the innovative use of advanced super-laminar aerodynamics and high-precision, net-shaped composites. Flight tests of our technology demonstrator validate a dramatic reduction in fuel burn and allow a sizeable improvement in cabin comfort. Otto Aerospace is designing world-class aircraft from first principles physics and delivering ground-breaking aircraft and economic performance. About the Role Otto Aviation is seeking a dynamic and technically proficient Machine Learning Engineer with software developer experience to join its AI Design and Innovation Lab. In this role, you will contribute to designing and deploying scalable AI/ML solutions, developing efficient infrastructure, and collaborating with teams to address complex problems across various business functions. You will play a critical role in advancing Otto's AI initiatives by building production-grade machine learning systems, optimizing model performance, and supporting innovation in next-generation technologies. What You'll Do • Design and Develop AI/ML Solutions, • Develop and implement models for advanced use cases, such as natural language processing, classification, and recommendation systems, • Apply state-of-the-art machine learning techniques, including large language models (LLMs), generative AI, focusing on performance optimization and scalability, • Optimize Infrastructure and Pipelines, • Design scalable training pipelines and inference systems to handle large-scale data processing, • Develop and optimize data storage and retrieval systems, such as vector databases, to ensure fast and reliable performance, • Software Development and Integration, • Collaborate with the AI Lab and cross‑functional teams to integrate machine learning models into existing systems while contributing to end‑to‑end platforms that combine AI capabilities with intuitive user experiences, • Implement best practices in DevOps, including CI/CD, containerization, and cloud deployment, • Monitor and Improve Model Performance, • Build monitoring tools and evaluation frameworks to track machine learning models in production, ensuring sustained quality, accuracy, compliance, performance, and scalability, • Collaborate with teams to troubleshoot and resolve performance issues, optimizing for latency and efficiency, • Contribute to Innovation, • Support the development of AI-driven automation tools and decision-making systems, • Participate in exploring and piloting emerging technologies to enhance the Lab’s capabilities Who You Are • Hands-on experience in designing, deploying, and maintaining production-grade machine learning systems, • Proven ability to work with both structured and unstructured data in large-scale environments, • Strong problem-solving and analytical thinking abilities, • Excellent communication and collaboration skills to work with cross-functional teams, • Ability to manage competing priorities and deliver high-quality work within deadlines, • Mentor team members and contribute to the knowledge-sharing culture within the Lab Education • Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field (Master’s preferred) Experience • 3+ years of experience in machine learning engineering or software development Required Skills • Machine Learning and AI:, • Experience with LLMs, NLP, generative AI, and advanced deep learning techniques, • Proficiency in PyTorch, TensorFlow, and distributed training frameworks, • Infrastructure and Pipelines:, • Knowledge of scalable data pipelines, inference systems, and cloud computing platforms (e.g., AWS, Google Cloud, Azure), • Familiarity with vector databases, ETL pipelines, and real-time processing systems, • Programming and Development:, • Proficiency in Python, and experience with Java and C++ for building production-grade systems, • Experience with software development practices such as version control (Git), containerization (Docker), and API design, • Data Processing and Analysis:, • Expertise in feature engineering, ETL processes, and handling large-scale datasets, • Strong command of SQL and tools for data manipulation and analysis Preferred Skills • Familiarity with monitoring tools such as Prometheus, MLflow, and OpenTelemetry, • Experience in deploying AI systems with Terraform, Kubernetes, or similar DevOps tools, • Exposure to SaaS platform development or intelligent recommendation systems Where You'll Be This is a remote position, with travel to the temporary company headquarters in Ft Worth, TX, 1 week every 4-6 weeks for team collaboration. Once our new plant in Jacksonville, FL is open (in 1-2 years), you'll travel there 1 week every 4-6 weeks. Benefits Otto Aerospace provides a robust benefits package that includes competitive salaries, subsidized medical, dental, and vision coverage, 401(k) opportunities, paid short term disability, voluntary long-term disability and additional term life, with 15 paid days off, 13 paid company holidays, and paid sick leave. Depending on seniority and role, some roles qualify for potential bonuses and stock options. Otto Aerospace is an Equal Opportunity Employer We are committed to diversity, equity, and inclusion in every aspect of our hiring process. All applicants will be considered for employment regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability. We believe that a diverse team brings fresh perspectives, innovative ideas, and greater success. The more inclusive we are, the stronger we become. Applicants must be legally authorized to work in the U.S. #LI-Remote

We are looking for a forward-thinking Lead AI Developer to architect and build the next generation of autonomous AI applications. You will move beyond standard prompt engineering to design Agentic Workflows—systems where LLMs function as reasoning engines that can plan multi-step tasks, utilize external tools (APIs, databases), and collaborate with other specialized agents to achieve high-level goals. You will lead the technical implementation of "Agency" in our software, transforming passive AI responses into active, goal-oriented behaviors. Experience working with the GCP Vertex AI ecosystem is essential. In this role, you will design agents capable of complex reasoning and tool usage, leveraging Google’s managed infrastructure (Vertex AI Vector Search, Cloud Run, and BigQuery) to ensure reliability, security, and performance. 1. Architecting and Implementing Agentic Workflows • Design Autonomous Loops: Build stateful control loops (Perception -> Reasoning -> Action) where agents can interpret clinical data, plan necessary checks, and generate risk assessments., • Conversational Agentic workflow: Chatbot style user experience powered by LLM, • GCP Integration: Leverage Vertex AI for model serving and LLM models for reasoning, optimizing for long-context windows to process complex medical history., • RAG & Grounding: Implement "Enterprise Grounding" using Vertex AI Vector Search to ensure all agent outputs are strictly cited against official medical literature (e.g., medical research and guidelines). 1. Data & Tool Integration • Structured Data Access: Build robust Python tools (Function Calling) that allow agents to securely query BigQuery or other datastores for patient demographics and symptoms., • Security & Compliance: Ensure all AI operations comply with HIPAA/GDPR standards, implementing strict PII masking and data governance within the Google Cloud environment., • System Reliability: Deploy agents on Vertex AI, Cloud Run, or GKE, ensuring low-latency inference and high availability for clinical users., • Agent monitoring: implement effective product environment AI Agent execution monitoring and alert system to ensure SLA, safety and security compliance 1. Leadership & Strategy • Mentorship: Guide a team of engineers in MLOps best practices (CI/CD for models, evaluation pipelines)., • Evaluation: Implement "LLM-as-a-Judge" frameworks to automatically test agent accuracy against "Golden Datasets" of clinical cases., • Core AI: Deep proficiency with LangChain or LangGraph, and specific experience with the Vertex AI SDK and ADK (Agent Development Kit), • Conversational workflow: Google Dialogflow CX, • LLMs: Expertise in prompting and configuring LLMs, specifically utilizing Function Calling and Context Caching., • Experience with integrating LLMs into platform and application workflow, experience with MCP protocols, • RAG/Embeddings: expert level experience in design and implementation of RAG based system using embeddings and vector databases, • Data Engineering: Strong SQL skills for BigQuery; experience with Vector Databases (Pinecone, Milvus, or Vertex Vector Search), • Backend Engineering: Mastery of Python (FastAPI) and containerization (Docker) for deploying microservices to Cloud Run or GKE., • Healthcare Domain: Familiarity with handling unstructured medical text or clinical guidelines is highly preferred., • Experience:, • 5+ years of software development experience., • 2+ years of hands-on experience building and deploying enterprise-grade agentic applications (e.g., using LangGraph, LangChain Agents)., • Familiarity with scalable, enterprise-level distributed systems, • Experience with advanced data structures, algorithms, and complexity analysis, • Demonstrated history of product value delivery, • Education:, • Bachelor's degree in Computer Science, Computer Engineering, or a closely related quantitative field is required., • Master's degree in Artificial Intelligence, Machine Learning, or a relevant field is strongly preferred., • Work Authorization:, • Must be a US Citizen, Green Card holder, or currently in the US having a valid H1B visa Joining C the Signs is not just about building AI; it’s about shaping the future of healthcare. If you are a technical leader with an unshakable belief in the power of AI to save lives and the ability to make it happen at scale, this is your opportunity to create a tangible, global impact. Benefits: • Competitive salary and benefits package., • Flexible working arrangements (remote or hybrid options available)., • The opportunity to work on life-changing AI technology that directly impacts patient outcomes., • Join a team that combines cutting-edge innovation with a mission to save lives and improve health equity., • Continuous learning opportunities with access to the latest tools and advancements in AI and healthcare.

Location: Remote - +/- 3 hours from CET (EST / Europe preferred) Remote | Full-time Compensation: $90K - $150K We are hiring on behalf of our client in the high-growth Web3 and DeFi sector who is seeking a Senior Backend Engineer to join its core Platform team. This organization builds and evolves the distributed backend systems that power its primary products and customer-facing solutions. The successful candidate will design and operate complex systems, manage Web3 infrastructure, and collaborate closely with product and platform engineers to deliver reliable, scalable solutions. This role is ideal for an engineer who values strong ownership, thoughtful system design, and maintains a high bar for code quality. The client fosters an environment that prioritizes building solid systems and moving quickly without compromising standards, leveraging modern tools—including AI—to maximize efficiency. Key Responsibilities: • System Architecture: Design, build, and maintain scalable distributed backend systems powering core platform and product capabilities., • End-to-End Ownership: Manage backend services throughout their entire lifecycle, from initial architecture and implementation to monitoring and long-term reliability., • Product Collaboration: Partner with product and engineering peers to actively shape product decisions and strategy rather than merely executing technical specifications., • Web3 Integration: Build and evolve platform backend components, including protocol integrations, support for emerging blockchain networks, and reliable interactions with smart contracts., • Engineering Standards: Ensure high standards of code quality, performance, security, and observability across all services., • Operational Excellence: Operate effectively in a fast-paced startup environment, balancing development velocity with technical correctness., • Innovation: Leverage AI-assisted tools to improve development velocity and personal productivity while contributing to technical discussions, reviews, and mentorship within the team., • Experience: 5+ years of professional experience designing and building distributed backend systems., • Technical Foundations: A strong foundation in algorithms, data structures, and software design patterns., • Core Stack: Professional experience with Python 3., • Infrastructure & Data: Proven experience with containerized systems (Docker & Kubernetes), databases (Postgres/SQL, MongoDB, or Cassandra), and cloud environments (AWS)., • Monitoring: Experience with observability tools such as Sentry, Prometheus, and Grafana., • Soft Skills: Clear, proactive communication skills suited for a distributed, async-first team and a strong ownership mindset., • Web3 Knowledge: Hands-on experience with blockchain systems, dApps, or smart contracts is highly preferred., • Bonus Qualifications: Knowledge of Golang, prior experience in a high-autonomy startup environment, and location within time zones close to Europe (CET/EET)., • Competitive Compensation: A market-leading salary and stock options, allowing team members to contribute to and share in the organization’s long-term success., • Health & Wellness: Comprehensive medical insurance and a flexible work schedule., • Remote Work Support: Full support for remote work, including necessary software, equipment, and coworking memberships., • Time Off: An unlimited days-off policy to ensure a healthy work-life balance and time to recharge., • Growth & Travel: Opportunities for relocation support and travel to industry festivals and global events., • Collaborative Culture: A fully distributed, remote team environment composed of driven and intelligent individuals in the crypto and technology space. Interview Process The following stages outline the standard evaluation process for this position: • Initial Talent Screening: A conversation with the recruitment team to assess general alignment, communication skills, and Web3 interest., • Hiring Manager Interview: An in-depth discussion focused on seniority, technical judgment, problem-solving under ambiguity, and alignment with a fast-paced startup mindset., • Technical Assessment: A 60-minute technical interview focusing on core engineering competencies., • Systems Design: A 90-minute deep dive into architectural thinking and distributed systems design., • Team Panel: A group interview with potential peers to assess cultural fit and collaborative approach., • Executive Discussion: A final conversation with the Founders/CEO. Due to the high volume of applications we anticipate, we regret that we are unable to provide individual feedback to all candidates. If you do not hear back from us within 4 weeks of your application, please assume that you have not been successful on this occasion. We genuinely appreciate your interest and wish you the best in your job search. Commitment to Equality and Accessibility: At MLabs, we are committed to offer equal opportunities to all candidates. We ensure no discrimination, accessible job adverts, and providing information in accessible formats. Our goal is to foster a diverse, inclusive workplace with equal opportunities for all. If you need any reasonable adjustments during any part of the hiring process or you would like to see the job-advert in an accessible format please let us know at the earliest opportunity by emailing human-resources@mlabs.city. MLabs Ltd collects and processes the personal information you provide such as your contact details, work history, resume, and other relevant data for recruitment purposes only. This information is managed securely in accordance with MLabs Ltd’s Privacy Policy and Information Security Policy, and in compliance with applicable data protection laws. Your data may be shared only with clients and trusted partners where necessary for recruitment purposes. You may request the deletion of your data or withdraw your consent at any time by contacting legal@mlabs.city.

Karoo Health is seeking a skilled and dedicated developer to join our Engineering team. As a software engineer at Karoo Health, you show a clear passion for quality and love to bring software to life. You are energized by the idea of building something new and want to work on problems that matter. In order to do this job well, you must be a curious and eager problem solver with a hunger for building well-designed, high-quality solutions. You have a passion for great work and strive to produce simple solutions to complex problems. Knowing there are always multiple answers to a problem, you know how to engage in a constructive dialogue to find the best path forward. When applying, please include a description of why you’re interested in this role. What You'll Do • Design and Architect Data Systems: Lead the design, construction, installation, and optimization of highly reliable, scalable, and secure data architecture., • Develop Data Pipelines: Build and maintain complex, production-grade data pipelines to ingest, process, and enrich large volumes of healthcare data., • Data Quality and Governance: Establish and enforce data quality standards, monitoring, and validation processes to ensure the accuracy, completeness, and consistency of data used for analytics., • Performance Optimization: Implement query tuning, indexing, and partitioning strategies to maximize the performance and efficiency of data processing systems and data retrieval., • Cloud Infrastructure: Design and deploy scalable, secure, cloud infrastructure leveraging infrastructure-as-code best practices., • Safeguard Data: Ensure strict compliance with healthcare data regulations (e.g., HIPAA, HITRUST) and implement data security best practices. What We're Looking For • Bachelor's degree in Computer Science, Software Engineering, or related field, or equivalent work experience, • Minimum 5 years of dedicated professional experience in a Data Engineering role, preferably within a startup or fast-paced healthcare technology environment., • Expert proficiency in SQL and at least one programming language used for data processing (Python or Scala)., • Deep experience designing and managing Data Warehouses (e.g., Snowflake, Google BigQuery, AWS Redshift) and experience with Data Lake technologies (e.g., S3, Delta Lake)., • Demonstrated hands-on experience with Big Data processing frameworks like Apache Spark or Dask., • Deep understanding of cloud platforms (AWS preferred) and cloud-native development, including services like S3, Lambda, and RDS., • Hands-on experience with workflow orchestration tools such as Apache Airflow or AWS Step Functions for managing data pipelines., • Expert knowledge of system architecture, scalability, and performance optimization for data systems., • Experience with test automation, CI/CD, and DevOps best practices for data deployments., • Ability to work independently and make high-impact technical decisions., • Must be legally authorized to work in the United States and not require employer sponsorship now or in the future Why Join Us • Competitive salary and equity in an early-stage startup. The starting salary for this role is between $150K - $175K annually based on factors such as cost of living, experience, etc., • Opportunity to define the technical solution from the ground up, • Possibly fully remote work environment with flexible hours, • Health benefits, learning stipends, and professional development support, • A collaborative and transparent company culture that values creativity and ownership Equal Opportunity Statement At Karoo Health Inc (“Karoo”), we believe that improving healthcare starts with creating a more equitable and inclusive world, both inside and outside our organization. We are committed to fostering a diverse workforce that reflects the communities we serve, and to building a culture where every team member feels valued, supported, and empowered. Our commitment to inclusion is reflected in initiatives such as equitable compensation practices, employee resource groups, inclusive benefits, and more. Karoo Health is proud to be an equal opportunity employer. We maintain a strict policy of non-discrimination for all applicants and employees. What does that mean for you? It means that we are dedicated to providing a workplace that is inclusive, respectful, and free from discrimination or harassment of any kind. Employment decisions at Karoo Health are made based on merit, qualifications, and business need, without regard to race, religion, color, national origin, sex, sexual orientation, gender identity or expression, age, disability, marital status, veteran status, political affiliation, or any other characteristic protected under applicable law. This policy applies to every aspect of the employment journey, from recruitment and hiring to compensation, benefits, training, promotion, performance evaluation, and beyond. We’re committed to doing the right thing, always, and that includes creating a fair and inclusive hiring process and workplace for all. Karoo Health welcomes all. In the United States, compensation is determined by factors including location, role level, job-related skills, experience, and market conditions. Some positions may also be eligible for bonuses, equity, or other benefits. To learn more about Karoo Health’s benefits, please contact our _.

Octane® is revolutionizing recreational purchases by delivering a seamless, end-to-end digital buying experience. We connect people with their passions by combining cutting-edge technology and innovative risk strategies to make lifestyle purchases - like powersports vehicles, RVs, and OPE - fast, easy, and accessible. Octane adds value throughout the customer journey: inspiring enthusiasts with our editorial brands, including Cycle World® and UTV Driver®, instantly prequalifying consumers for financing online, routing customers to dealerships for an easy closing, and supporting customers throughout their loan with superior loan servicing. Founded in 2014, we’re a company with 550+ employees and over 30 OEM and 4,000 dealer partners. At Octane, we’re building innovative technology solutions that power smarter, faster, and more efficient decision-making. We are seeking an accomplished AI/ML Technical Lead to drive the design, development, and deployment of advanced machine learning solutions that scale seamlessly in production environments. In this role, you’ll shape the strategy for how AI is leveraged across the organization, partnering with cross-functional teams to translate business goals into technical solutions that are not only state-of-the-art, but also ethical, secure, and reliable. This position is ideal for a hands-on leader who thrives at the intersection of research and engineering. You will mentor engineers and data scientists, establish best practices for MLOps, and ensure models deliver consistent value long after deployment. With opportunities to explore cutting-edge fields like generative AI, large language models, natural language processing, and computer vision, you’ll play a pivotal role in setting the technical standard for Octane’s AI initiatives while guiding the team toward innovation and measurable impact. Responsibilities: • Lead the end-to-end design, development, and deployment of advanced AI/ML systems, ensuring production environments are scalable, efficient, and highly performant., • Collaborate with cross-functional teams to define AI strategy, evaluate use cases, and translate business objectives into actionable technical solutions., • Build, optimize, and maintain machine learning pipelines, covering data ingestion, preprocessing, model training, evaluation, deployment, and ongoing monitoring., • Establish and champion MLOps best practices, including CI/CD for ML workflows, automated testing frameworks, and continuous model performance monitoring to prevent drift., • Serve as a technical mentor and leader, guiding engineers and data scientists on system architecture, coding standards, and efficient development practices., • Research and evaluate emerging AI methodologies, frameworks, and tools, integrating innovative approaches into the organization’s technology stack where applicable., • Ensure AI solutions meet ethical, security, and compliance standards, including model explainability, bias mitigation, and data privacy requirements., • Partner with engineering leadership to set technical strategy, establish architectural guidelines, and define standards that shape the future of AI initiatives at Octane. Requirements: • Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or related field with 5+ years of professional experience, or Bachelor’s degree with 8+ years of experience in AI/ML engineering., • Proven expertise with leading ML/DL frameworks such as TensorFlow, PyTorch, or JAX, with hands-on experience training and deploying models., • Strong programming proficiency in Python, with additional experience using languages such as C++ or Java for performance-critical applications., • Practical experience with MLOps tools and workflows, including MLflow, Kubeflow, SageMaker, or Vertex AI to streamline model lifecycle management., • Deep understanding of data engineering concepts such as data pipelines, preprocessing, and distributed computing, as well as hands-on experience with cloud platforms (AWS, Azure, or GCP)., • Demonstrated success designing, deploying, and optimizing AI/ML systems at scale, including model serving, monitoring, and iteration., • Strong communication and collaboration skills, with the ability to influence technical direction and align diverse stakeholders. Preferred Skills: • Experience with generative AI and large language models (LLMs), including prompt engineering and fine-tuning approaches., • Knowledge of advanced ML domains such as natural language processing (NLP), computer vision, reinforcement learning, or recommendation systems., • Familiarity with containerization and orchestration technologies, including Docker and Kubernetes, to support scalable deployment., • Hands-on experience with infrastructure-as-code (IaC) tools, such as Terraform or Ansible, to enable automated and reproducible infrastructure management., • Contributions to the AI/ML community, such as open-source projects, conference presentations, or peer-reviewed research publications. Compensation: In addition to salary, Total Rewards include bonus eligibility, a stock option package, and benefits as outlined below. The role described above offers a base salary of $150,000 to $210,000 + bonus incentive eligibility. Your offer will be based on location, the alignment of your qualifications with the requirements of the job and internal equity. Benefits: • Robust Health Care Plans (Medical, Dental & Vision), • Generous Parental Leave, • Flexible Time Off (FTO) Policy - Time Off When You Need It, • Retirement Plan (401k) with company match!, • Educational Assistance/Tuition Reimbursement up to $3K/year, • Life Insurance (Basic, Voluntary & AD&D), • Short Term / Long Term Disability, • Robust Ancillary benefits including accident insurance, hospital insurance, etc, • Wellhub (Gympass) Wellness Benefit, • Powersports Safety Benefit Disclaimer: The above statements are intended to describe the general nature and level of work being performed by associates assigned to this classification. They are not to be construed as an exhaustive list of all responsibilities, duties, and skills required of personnel so classified. All personnel may be required to perform duties outside of their normal responsibilities from time to time, as needed. Octane Lending is an equal opportunity employer committed to providing equal employment opportunity without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or any other protected status with respect to recruitment, hiring, promotion and other terms and conditions of employment. #LI-MZ1 #LI-Hybrid

At Wayve we're committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, veteran status, pregnancy or related condition (including breastfeeding) or any other basis as protected by applicable law. Founded in 2017, Wayve is the leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems. Our vision is to create autonomy that propels the world forward. Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving. In our fast-paced environment big problems ignite us—we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future. At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact. Make Wayve the experience that defines your career! This is a rare opportunity to lead foundational work at the intersection of large-scale pretraining and embodied AI. You’ll shape how Wayve curates and experiments with data to pretrain the next generation of multi-modal foundation models for autonomy. Working at the frontier of a still-undefined field, you’ll collaborate with research and engineering teams to define what “good data” looks like for embodied systems — and work with engineering teams to build the infrastructure to scale it. Your work will directly influence the performance, generalization, and capabilities of Wayve’s AI stack. Key responsibilities: • Lead data curation, enrichment, and filtering efforts for large-scale pretraining of embodied models, • Build and manage distributed data processing and ingestion pipelines across modalities, • Partner with research teams to run data-centric experiments and influence model training strategy, • Identify, integrate, and leverage third-party datasets to enhance pretraining and evaluation, • Manage and mentor a team of engineers and data scientists to deliver scientific and technical impact In order to set you up for success as a Tech Lead / Tech Lead Manager at Wayve, we’re looking for the following skills and experience: • Leadership in data-centric AI: Experience leading research or engineering teams focused on dataset curation, filtering, or enrichment at scale, particularly for large-scale model pretraining., • Contributions to data benchmarks or tools: Involvement in projects like DataComp, LAION, DINO, MOLMO, or equivalent initiatives that define or evaluate pretraining dataset quality., • Deep understanding of distributed data processing: Strong working knowledge of frameworks such as Ray, Spark, Dask, or equivalent, and designing scalable, fault-tolerant data pipelines., • Hands-on deep learning expertise: Strong proficiency in PyTorch and a solid grasp of how data quality, distribution, and structure impact training dynamics and model generalisation., • Experimental mindset: Demonstrated ability to run and interpret data-centric experiments (e.g., small-scale trials, ablations) to inform large-scale model training., • Collaboration with research: Experience working closely with ML researchers and contributing to experimental design, pretraining strategies, or evaluation design., • Minimum 5 years of relevant industry experience: Including at least several years in data-heavy, model-driven environments involving deep learning at scale., • Track record of research impact: Publications in top-tier conferences such as NeurIPS, ICML, CVPR, ICCV, CoRL, or equivalent, especially in data-centric learning, representation learning, or self-supervised learning., • People management experience: Track record managing ~5 direct reports in a research or research-leaning engineering environment; skilled in team development, prioritization, and technical alignment., • Experience with multi-modal or embodied systems: Familiarity with datasets involving video, language, lidar, radar and generally sensor fusion or embodied perception and control., • Tooling and infrastructure know-how: Familiarity with modern data versioning, annotation, and orchestration tools (e.g., Weights & Biases, ClearML, Labelbox, Airflow, Metaflow, etc.)., • Autonomous systems exposure: While prior AV or robotics experience is not required, a demonstrated interest in embodied intelligence or real-world agent learning is a plus., • Systems thinking and data-product intuition: Ability to reason about upstream data decisions and their downstream effects on models, infrastructure, and product goals., • Attractive compensation with salary and equity, • Immersion in a team of world-class researchers, engineers and entrepreneurs, • A unique position to shape the future of autonomy and tackle the biggest challenge of our time, • Bespoke learning and development opportunities, • Relocation support with visa sponsorship, • Flexible working hours - we trust you to do your job well, at times that suit you and your time, • Benefits such as an onsite chef, workplace nursery scheme, private health insurance, therapy, daily yoga, onsite bar, large social budgets, unlimited L&D requests, enhanced parental leave, and more! This is a full-time role based in our office in Sunnyvale. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. If you’re passionate about self-driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply. For more information visit _ To learn more about what drives us, visit _ DISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory.

Location: Fully Remote Preferred Locations: Midwest-based; Indianapolis, IN or IL, Chicagoland Area preferred Who We Are We are K1X. Our platform powers a modern, all-digital K-1 experience by replacing legacy workflows with scalable software and AI-driven automation. As we expand our machine learning capabilities, we are investing in a robust ML platform that enables production-grade model development, deployment, and monitoring across our products. About your Role We’re seeking an experienced Machine Learning Operations (MLOps) Engineer to join our team and build the infrastructure that powers AI and machine learning at K1X. This is a hands-on role focused on designing scalable systems, pipelines, and tooling that enable our Machine Learning Engineers to efficiently train, deploy, and operate models in production. You’ll work at the intersection of software engineering, DevOps, and machine learning—owning the reliability, scalability, and performance of our ML platform. Your Responsibilities • Design and build scalable ML infrastructure to support model training, evaluation, and deployment., • Develop and maintain containerized environments using Docker and Kubernetes., • Build and manage distributed training pipelines and orchestration workflows., • Implement and maintain ML lifecycle tooling such as MLflow for experiment tracking and reproducibility., • Own production inference systems, including NVIDIA Triton Inference Server., • Design and operate low-latency, high-availability model serving architectures., • Implement CI/CD pipelines for ML deployment, versioning, and rollback strategies., • Build and maintain data pipelines integrated with Snowflake and related data systems., • Implement monitoring, logging, and alerting for model performance, drift detection, and system health., • Partner with ML Engineers to improve developer experience and accelerate delivery. Who You Are: • Bachelor’s or Master’s degree in Computer Science, Engineering, or equivalent experience., • 5+ years of experience in software engineering, DevOps, or MLOps roles., • Strong proficiency in Python and experience building production-grade systems., • Hands-on experience with Docker, Kubernetes, and distributed systems., • Experience building and maintaining CI/CD pipelines., • Familiarity with ML lifecycle tools such as MLflow or similar., • Experience working with cloud-based data platforms such as Snowflake., • Strong understanding of system design, APIs, and microservices architectures., • Proven debugging and troubleshooting ability across distributed systems. It's Truly a Match If You Have: • Experience managing inference infrastructure such as NVIDIA Triton Inference Server., • Experience building large-scale training infrastructure including GPU workloads and distributed training., • Familiarity with feature stores, data versioning, and experiment tracking systems., • Experience supporting NLP or document processing pipelines., • Exposure to observability tools such as Prometheus, Grafana, or similar., • Experience working in SaaS environments with high availability, productivity, and performance requirements., • A strong bias toward automation, scalability, and continuous improvement., • A collaborative mindset and ability to work cross-functionally with engineering and data teams., • Unlimited Vacation Policy + Sick Time, • Fully Remote Opportunity, • Benefits/401K, • Growing Startup Culture, • Unlimited Vacation Policy + Sick Time + Holidays, • Paid Parental Leave, • Fully Remote Opportunity, • Healthcare Benefits and 401K, • Growing Startup Culture

About the role: Samsara’s Revenue Operations AI & Data Team is building the future of how we go to market — with intelligence, personalization, and speed. We’re a high-impact team of builders, scientists, and strategists focused on transforming sales operations through AI. Our mission is to help sellers reach the right customer at the right time with the right message — and to put everything they need at their fingertips, whether that’s data from Salesforce, context from a past call, or content that wins deals. As a Senior Software Engineer, AI Platform, you’ll lead the design and development of core platform capabilities that power Samsara’s next generation of AI-driven experiences. You’ll focus on building scalable, reliable systems that enable multi-step AI workflows, model execution, and integrations across products, rather than individual features. This role sits at the intersection of distributed systems and applied AI, where correctness, extensibility, and operational excellence matter as much as speed. You’ll partner closely with AI engineers, backend engineers, and cross-functional teams to shape shared execution patterns, define platform contracts, and evolve the foundations that support S+Engine and future AI use cases. You’ll be empowered to make architectural decisions, move fast on early iterations, and help turn emerging AI capabilities into a durable, production-grade platform that other teams can build on with confidence. This is a remote position open to candidates residing in the US except the San Francisco Bay Metro Area, NYC Metro Area, and Washington, D.C. Metro Area. You should apply if: • You want to impact the industries that run our world: Your efforts will result in real-world impact—helping to keep the lights on, get food into grocery stores, reduce emissions, and most importantly, ensure workers return home safely., • You are the architect of your own career: If you put in the work, this role won’t be your last at Samsara. We set up our employees for success and have built a culture that encourages rapid career development, countless opportunities to experiment and master your craft in a hyper growth environment., • You’re energized by our opportunity: The vision we have to digitize large sectors of the global economy requires your full focus and best efforts to bring forth creative, ambitious ideas for our customers., • You want to be with the best: At Samsara, we win together, celebrate together and support each other. You will be surrounded by a high-calibre team that will encourage you to do your best. In this role, you will: • Build and evolve core AI platform capabilities that enable teams to develop, run, and scale GenAI-powered applications across Samsara., • Design and implement shared execution patterns, APIs, and services that support multi-step AI workflows and system integrations., • Develop reliable, extensible backend systems that power AI-driven experiences used across the sales funnel and beyond., • Work hands-on across the stack, from backend services and execution infrastructure to integration with AI models and tooling., • Collaborate closely with AI engineers, data scientists, product partners, and sales operators to turn emerging AI use cases into production-ready platform capabilities. Minimum requirements for the role: • 6+ years of professional software engineering experience (excluding internships/contract roles), with a strong emphasis on building and operating large-scale, production backend or platform systems., • Hands-on experience building and operating GenAI-powered systems in production, including integration with large language models (LLMs) or similar AI services., • Experience designing or implementing GenAI workflows such as prompt orchestration, tool execution, routing, or multi-step reasoning pipelines., • Proven experience designing and implementing distributed systems that support multi-step execution, asynchronous workflows, and well-defined service contracts., • Strong proficiency in backend programming languages (e.g., Python, Java, Go, or similar) and experience building reliable services with clear input/output schemas., • Expert in Python and GenAI frameworks (e.g., LangChain, OpenAI SDK, MCP, etc.), • Familiarity with GenAI quality and safety considerations, such as validation of model outputs, structured responses, retries/fallbacks, and basic evaluation or monitoring approaches., • Strong product sense and ability to work in fast-paced, cross-functional environments., • Located in and authorized to work in the United States (this is a fully remote role). An ideal candidate also has: • Experience working on AI products in a sales, go-to-market, or revenue operations context., • Familiarity with enterprise tools like Salesforce, Gong, Outreach, or similar CRM/enablement platforms., • Experience integrating with vector databases, retrieval systems, or streaming voice/chat pipelines., • A track record of leading major technical initiatives or mentoring engineers in high-growth teams., • Exposure to infrastructure considerations such as cost optimization, model evaluation, observability, and latency management.

About mpathic.ai We are a Series A startup backed by Tier 1 investors including Foundry.vc and Next Frontier Capital. Position Overview Your mission is to become the technical backbone of our go-to-market motion, partnering directly with Sales to win complex enterprise deals and translating customer needs into scalable, production-ready solutions. As our first Solutions Architect, you will operate as a true founding member of the GTM team. You will work side-by-side with our Head of Sales/AEs to drive technical discovery, shape solutions, and de-risk deals across AI safety, evaluation, safety monitoring and human-data workflows. This is a highly customer-facing, pre-sales role. You will engage deeply with ML platform teams, safety/alignment leaders, and data organizations, helping them understand how mpathic integrates into their systems via APIs, human services, and our platform. You will also define how Solutions Architecture works at mpathic: building the playbooks, demos, assets, and patterns that enable us to scale. This is a U.S.-based remote position. Candidates must reside in the United States. Applicants must be currently authorized to work in the United States on a full-time basis. This position is not eligible for visa sponsorship. Key Responsibilities Pre-Sales Technical Leadership • Partner directly with the Head of Sales on technical discovery, deal strategy, and solution design across Enterprise and Commercial opportunities., • Lead technical conversations with ML/AI platform teams, safety/alignment teams, and data leaders., • Own technical validation processes including architecture design, POCs, pilots, and security/technical evaluations., • Translate ambiguous customer requirements into clear, executable solution architectures. Solution Design & Architecture • Design end-to-end solutions that integrate mpathic’s platform, APIs, and services into customer AI/ML workflows., • Advise customers on how to implement evaluation pipelines, human feedback loops, red teaming workflows, and annotation systems., • Architect integrations across APIs, data pipelines, and customer infrastructure., • Create reference architectures and reusable patterns for common customer use cases. Hands-On Deal Support • Build lightweight prototypes, scripts, or integrations to unblock deals when needed (e.g., API integrations, dashboard definitions, data flows)., • Customize demos and technical materials to reflect real customer environments and use cases., • Support technical objections, security reviews, and procurement processes with confidence. 0→1 Function Building • Define the Solutions Architect role at mpathic, including engagement model, tooling, and success metrics., • Develop repeatable playbooks for discovery, technical validation, and solution design., • Create scalable assets such as demo environments, architecture diagrams, and integration templates., • Partner with Sales, Product, and Engineering to ensure tight alignment across the customer lifecycle. Market Insight & Cross-Functional Impact • Act as the voice of the customer to Product and Engineering, shaping roadmap and prioritization., • Maintain deep knowledge of the AI ecosystem, particularly AI safety, evaluation, RLHF, and human-in-the-loop workflows., • Help refine positioning and messaging based on real customer interactions., • Represent mpathic.ai in technical discussions with customers and at industry events. Qualifications Candidates must reside in the United States and be currently authorized to work in the United States on a full-time basis. Required Experience • 7+ years of experience in Solutions Architecture, Sales Engineering, or similar customer-facing technical roles., • Experience as a first or early Solutions Architect at a startup, with a track record of building from zero-to-one., • Strong experience supporting enterprise SaaS sales, particularly API-first or platform products., • Proven success working with ML/AI platform teams, data organizations, or developer-focused buyers., • Experience driving complex, technical, multi-stakeholder sales cycles., • Familiarity with AI safety, evaluation, RLHF, red teaming, or human-in-the-loop data workflows. Technical Skills • Strong understanding of APIs, system integrations, and modern SaaS architectures., • Comfort working with data pipelines, analytics layers (e.g., tools like cube.dev), and ML/AI workflows., • Ability to build lightweight prototypes, integrations, or technical assets to support deals., • Familiarity with cloud environments and deploying or integrating technical solutions. Skills & Attributes • Customer-facing technical leader who enjoys being in the deal and influencing outcomes., • Strong translator between technical teams and business stakeholders., • Comfort operating in ambiguity and building structure from scratch., • High ownership mindset with a bias toward action., • Deep curiosity about AI safety, alignment, and high-quality human data systems. Success Metrics • Improved win rates and deal velocity through strong technical partnership with Sales., • Successful technical validation of enterprise opportunities (POCs, pilots, integrations)., • High-quality solution designs that lead to successful customer adoption and expansion., • Repeatable technical playbooks for pre-sales and solution architecture., • Strong trust and credibility with customer technical stakeholders. Why Join mpathic.ai? • Shape the future of AI safety and human-centered model alignment., • Work directly with leading AI builders, enterprise innovators, and safety teams., • Define and build the Solutions Architecture function from the ground up., • Join a mission-driven team focused on enabling safer, more emotionally intelligent AI systems. Compensation and Benefits • Competitive base salary with uncapped earnings potential, • Equity, • Company-funded health, dental, and vision insurance, • 401k with 4% company match, • Well-being programs, • Flexible paid time off, • Mission-driven work solving AI Safety challenges IMPORTANT – How to Apply We can only accept and review applications via our direct official recruiting portal: https://mpathic2.bamboohr.com/careers, due to the abundance of 3rd party apps and automated agents. Only applications submitted directly by the applicant through our portal will be considered.

Dave is a financial app on a mission to build products that level the financial playing field. It is redefining the financial landscape by leveraging technology to create an affordable, transparent, and user-centric access to liquidity for millions of Americans. As a leading innovator in the U.S. financial services sector, Dave’s digital financial platform offers products designed to meet the credit needs of those underserved by traditional financial institutions. Dave’s offerings include its flagship ExtraCash product, providing members up to $500 in short-term advances within minutes. The company is on track to launch several new product offerings in 2026, including a Buy Now Pay Later (BNPL) option. Dave is focused on serving Americans who are financially vulnerable or living paycheck to paycheck. Dave is leading the charge in creating a new era of credit products that prioritizes speed, affordability, and accessibility, making it the go-to financial partner for those who need it most. Dave is on a mission to build financial products that level the playing field. We serve millions of Americans who have been overlooked by traditional systems, giving them faster, more transparent access to liquidity when they need it most. We’re hiring a Lead / Staff AI Acceleration Engineer to help define how AI is built and used across Dave. This is a foundational role on the AI Acceleration team. You’ll help shape the systems that power how AI agents are created, connected to data, and safely deployed across the company. Your focus is not just building individual solutions. You’ll create the underlying infrastructure and patterns that allow teams across Dave to build and trust AI-driven workflows. Early work centers on analytics automation — agents that generate insights, detect anomalies, and handle recurring reporting. You’ll partner closely with Data Engineering, building on a trusted data platform to create an AI Agent Factory that scales across the business. The AI Agent Factory: shared patterns, templates, and infrastructure that make it easy to build and deploy reliable agents Systems that connect LLMs to structured data safely, including access control, context delivery, and governance Integrations with the semantic layer to ensure agents and dashboards use consistent business definitions Evaluation and observability frameworks that help teams understand agent quality and behavior over time Guardrails that reduce risk, including protections against hallucinations, cost overruns, and data misuse Early analytics automation agents that teams rely on for insight generation and exploration You’ll help establish how AI operates across Dave. When this work is successful, teams move faster with better information — and spend less time waiting on manual analysis. Experience / Technical Foundation 6+ years in data engineering, ML engineering, AI infrastructure, or platform engineering Hands-on experience building LLM-powered applications, agents, or tool-use systems in production Experience connecting LLMs to structured data in a safe, reliable way (APIs, data access layers, context delivery, governance) Strong software engineering fundamentals, including testing, monitoring, and production reliability Experience with modern data and ML tooling (e.g., Python, Snowflake, dbt, Airflow, Kafka, Kubernetes or equivalents) Experience operating production systems, including CI/CD, monitoring, and incident response Bonus Experience designing evaluation frameworks for AI systems Familiarity with semantic layer tools (e.g., dbt metrics layer, LookML) Experience in fintech or other regulated environments Experience building internal platforms or developer tooling used across teams Exposure to data lineage, audit systems, or compliance automation You take responsibility for outcomes, not just implementation. You think in systems — how agents interact with data, how teams adopt what you build, and how decisions scale across the company. You’re thoughtful about trade-offs and build solutions that hold up over time. At the Lead level, you tend to focus on execution and reliability — building and operating systems end-to-end. At the Staff level, you also shape direction — defining patterns, influencing architecture, and guiding how the AI layer evolves across Dave. You work well across teams. This role sits at the intersection of Data Engineering, Product, and Analytics, and success comes from building systems others trust and adopt. You’re open to feedback and adjust when new information changes direction. This is a build-from-zero environment in parts. Not everything is fully defined, and you’ll help shape how AI is applied across the company. Priorities will evolve as we learn, but the focus remains on practical use cases with real impact. You’ll have meaningful ownership, paired with a team that values collaboration, clear thinking, and steady progress over time. Build foundational AI systems that shape how an entire company operates Work on real problems with direct impact on millions of members Partner with strong teams across data, product, and engineering Contribute to a mission focused on expanding access to financial tools Ready to build for the underdog? Reports to: Director, Data Platform & AI Acceleration Don’t let imposter syndrome get in the way of an incredible opportunity. We’re looking for people who can help us achieve our mission and vision, not just check off the boxes. If you’re excited about this role, we encourage you to apply. You may just be the right candidate for this or other roles. Why you’ll love working here: At Dave, our people are just as important as our product. Our culture reflects the values that guide who we are, how we work, and what we aspire to be. Daves are member-centric, helpful, transparent, persistent, and better together. We strive to create an environment where all Daves feel valued, heard, and empowered to do their best work. As a virtual-first company, team members can live and work anywhere in the United States, except Hawaii. A few of our benefits & perks: 💚 Opportunity to tackle tough challenges, learn and grow from fellow top talent, and help millions of people reach their personal financial goals 💻 Flexible hours and virtual-first work culture with a home office stipend 🏥 Premium Medical, Dental, and Vision Insurance plans 👶 Generous paid parental and caregiver leave 💰 401(k) savings plan with matching contributions 📈 Financial advisor and financial wellness support 🏖️ Flexible PTO and generous company holidays, including Juneteenth and Winter Break 🎉 All-company in-person events once or twice a year and virtual events throughout to connect with your team members and leadership team Dave Operating LLC is proud to be an Equal Employment Opportunity employer and is dedicated to cultivating a diverse and inclusive workplace. We will consider for employment all qualified applicants and do not discriminate on any basis protected by federal, state, or local law, including the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance relating to an applicant's criminal history. #LI-REMOTE

hermeneutic Investments is a best-in-class proprietary trading firm and hedge fund. It deploys research-driven discretionary and systematic strategies as well as makes strategic long-term investments. The partners' decade-long history of success in trading and business building and a firm-wide cultural emphasis on alpha generation, open debate, relentless iteration, and teamwork are key to the firm's continued expansion in a challenging market environment that has hamstrung competitors. A hard-wired emphasis on risk management and opportunistic market participation ensure that hermeneutic Investments will continue its growth trajectory in the coming decades. We’re looking for a Junior–Mid Cybersecurity Engineer who is hands‑on with security operations and excited to improve our defenses across cloud, endpoints, identity, and collaboration tooling. You’ll help run the daily security program, tune and maintain controls, investigate alerts, and contribute to projects that raise our overall security posture. Security Engineering manages our deployed security solutions and controls, implements new security technologies, and evaluates emerging solutions for potential adoption. This role handles all day‑to‑day security operations and partners closely with IT, SRE, and Product Engineering to keep our environments safe and compliant. Operations & Monitoring • Own day‑to‑day security operations: triage alerts, investigate events, and drive incidents through containment, eradication, and post‑incident review., • Maintain detection rules, playbooks, and runbooks; continually reduce false positives and MTTR., • Troubleshoot users on issues with security tooling. Tools & Controls • Review and harden AWS security services (e.g., IAM/SCPs, GuardDuty, Security Hub, CloudTrail/Config, KMS, WAF)., • Operate MDM for device compliance, disk encryption, patching, and baseline configurations., • Operate AV/EDR and firewall policies; support enterprise browser security policies and extensions., • Harden Cloud services and partners (DLP, context‑aware access, OAuth app controls, group/SSO hygiene, 2SV/passkeys)., • Conduct POCs and evaluation on security tools for adoption., • Support IT operations when needed. Engineering & Enablement • Implement new security technologies and integrations; document deployments and handoffs., • Create security automations for tooling. Risk & Posture • Support asset/inventory accuracy, least‑privilege access reviews, and change control., • Assist with security reviews, vendor risk, and audit evidence for SOC 2/ISO 27001‑style controls., • At least 5 years of security engineering background and experience with at least one of the following: SIEM, MDM, Systems hardening, Practical Cloud Security., • Experience in tool lifecycle implementation - from Proof of Concept through integration and till decommissioning., • Ability to work across time-zones when needed., • Solid understanding of computing systems and their operations., • Ability to work in a team and flexible deliverables., • Hands-on experience with cloud platforms (AWS/Google/Azure)., • Experience with security automation., • First hand experience with development of security processes., • IT Background., • CV Screening – We will review your application based on the qualifications and experience outlined above., • Phone Interview – An interview with Cybersecurity team member to assess general fit and engineering experience., • Test Assignment Review – You’ll be given a technical task reviewed by the team., • Technical Interviews – Discussions with cybersecurity team and IT focused on system design, processes and approach., • Co-Founder Interview – A concluding discussion to evaluate cultural fit, strategic alignment, and how you resonate with the firm’s values. Throughout the process, you'll be assessed for cultural fit through our company values: • Drive – We believe the best team members are deeply passionate about what they do. That passion fuels their growth, drives them to seek out the best teams, and leads them to hold high expectations of themselves in pursuit of excellence., • Ownership – We aim to extend ownership as broadly as possible across the firm. In return, we value people who take initiative, step up when needed, and treat the company’s goals as their own., • Judgment – We value those who see the big picture and focus on what truly drives impact and results. They use time wisely, adapt across domains, and always prioritize outcomes over comfort zones., • Openness – We foster a culture of open communication, mutual challenge, and shared growth. We believe constructive debate and proactive knowledge sharing lead us closer to the truth—and better decisions., • Competence – We work with people who bring exceptional intellectual strength. What sets them apart isn’t just what they know—it’s how they use what they know to navigate change, adapt quickly, and contribute meaningfully in fast-changing environments., • Resilience – We perform under pressure. Markets move fast, and so do we—but we stay grounded, focused, and calm. We embrace uncertainty, learn from setbacks, and adapt quickly without losing sight of long-term goals.

About the role: Samsara’s Revenue Operations AI & Data Team is building the future of how we go to market — with intelligence, personalization, and speed. We’re a high-impact team of builders, scientists, and strategists focused on transforming sales operations through AI. Our mission is to help sellers reach the right customer at the right time with the right message — and to put everything they need at their fingertips, whether that’s data from Salesforce, context from a past call, or content that wins deals. As a Software Engineer II, AI Platform, you’ll help implement the design and contribute to the development of core platform capabilities that power Samsara’s next generation of AI-driven experiences. You’ll focus on supporting senior ICs on the team by building scalable, reliable systems that enable multi-step AI workflows, model execution, and integrations across products, rather than individual features. This role sits at the intersection of distributed systems and applied AI, where correctness, extensibility, and operational excellence matter as much as speed. You’ll partner closely with Senior ICs, AI engineers, and cross-functional teams to shape shared execution patterns, define platform contracts, and evolve the foundations that support S+Engine and future AI use cases. You’ll be empowered to make architectural decisions, move fast on early iterations, and help turn emerging AI capabilities into a durable, production-grade platform that other teams can build on with confidence. This is a remote position open to candidates residing in the US except the San Francisco Bay Metro Area, NYC Metro Area, and Washington, D.C. Metro Area. You should apply if: • You want to impact the industries that run our world: Your efforts will result in real-world impact—helping to keep the lights on, get food into grocery stores, reduce emissions, and most importantly, ensure workers return home safely., • You are the architect of your own career: If you put in the work, this role won’t be your last at Samsara. We set up our employees for success and have built a culture that encourages rapid career development, countless opportunities to experiment and master your craft in a hyper growth environment., • You’re energized by our opportunity: The vision we have to digitize large sectors of the global economy requires your full focus and best efforts to bring forth creative, ambitious ideas for our customers., • You want to be with the best: At Samsara, we win together, celebrate together and support each other. You will be surrounded by a high-calibre team that will encourage you to do your best. In this role, you will: • Build and evolve core AI platform capabilities that enable teams to develop, run, and scale GenAI-powered applications across Samsara., • Design and implement shared execution patterns, APIs, and services that support multi-step AI workflows and system integrations., • Develop reliable, extensible backend systems that power AI-driven experiences used across the sales funnel and beyond., • Work hands-on across the stack, from backend services and execution infrastructure to integration with AI models and tooling., • Collaborate closely with AI engineers, data scientists, product partners, and sales operators to turn emerging AI use cases into production-ready platform capabilities. Minimum requirements for the role: • 3+ years of professional software engineering experience (excluding internships/contract roles), with a strong emphasis on building and operating large-scale, production backend or platform systems., • Hands-on experience building and operating GenAI-powered systems in production, including integration with large language models (LLMs) or similar AI services., • Experience implementing GenAI workflows such as prompt orchestration, tool execution, routing, or multi-step reasoning pipelines., • High proficiency in backend programming languages (e.g., Python, Java, Go, or similar) and experience building reliable services with clear input/output schemas., • Expert in Python and substantial knowledge on different GenAI frameworks (e.g., LangChain, OpenAI SDK, MCP, etc.), • Familiarity with GenAI quality and safety considerations, such as validation of model outputs, structured responses, retries/fallbacks, and basic evaluation or monitoring approaches., • Strong product sense and ability to work in fast-paced, cross-functional environments., • Located in and authorized to work in the United States (this is a fully remote role). An ideal candidate also has: • Experience working on AI products in a sales, go-to-market, or revenue operations context., • Familiarity with enterprise tools like Salesforce, Gong, Outreach, or similar CRM/enablement platforms., • Experience integrating with vector databases, retrieval systems, or streaming voice/chat pipelines., • A track record of leading major technical initiatives or mentoring engineers in high-growth teams., • Exposure to infrastructure considerations such as cost optimization, model evaluation, observability, and latency management.

About the Job: LaunchDarkly’s AI Specialist will be at the forefront of revolutionizing how AI engineers think about, release, monitor, and optimize their agents, scaling up our LaunchDarkly for AI from initial market validation to an industry-leading product. You will represent deep, specialized LD4AI product knowledge, sharing your expertise with prospects and customers, gathering critical feedback that shapes product development, and driving early-stage adoption. Your expertise will be instrumental in establishing the Solutions Engineering frameworks that will guide our future success. This is a role for builders and storytellers who thrive in undefined spaces. You will be expected to build – meaning the construction of integrations, technical content, whitepapers, and tutorials, all alongside attractive demos of our product customized to strategic engagements. You'll work with the innovation coming out of LaunchDarkly's Product team and make a significant impact on how companies build and deploy AI applications. Responsibilities: Expert-Level Solutions/Sales Engineering • Represent the trustworthiness and confidence of serious expertise in practical AI applications in customer conversations (especially as an escalation point above an SE SME), • Spearhead the early-stage implementation and adoption of LD4AI at scale, working closely with existing customers to ensure activation and churn prevention (alongside feedback), • Develop and document Solutions Engineering playbooks and best practices that scale beyond our first customers, • Function as a tremendous partner to the LD4AI Chief of Staff, surfacing revenue-related insights with respect to the maturation of the product accordingly, • Support LD4AI POVs ran by on-the-ground SEs Collect and Propagate Product Feedback • Collaborate extensively with product and engineering teams to ensure product concepts are technically feasible and align with LaunchDarkly's strategic goals, • Drive continuous improvement by monitoring product performance, user experience, and market response, iterating based on actionable data and insights, • Confirm that LD4AI’s roadmap adheres to market demand and deliver exceptional user experiences, especially for the AI developer persona – vocalizing objections with data Build LD4AI Into The World • Deliver integrations against common, quantified customer requests in the form of code contributions, architecture diagrams, and whitepapers, • Function as a key technical asset in (with the Head of AI and the partnership team) technical partnerships with advantageous potential partners (like Anthropic, DataBricks, etc…), • Publicly evangelize LD4AI at mainstream industry conferences, webinars, partner engagements, and strategic meetings Technical Leadership & Communication • Function as the primary owner of the disbursement of enablement material to the SE team, particularly to the designated by team/region SE LD4AI SMEs (for which you have partial, dotted-line accountability), • Co-own Revenue Enablement of LD4AI along with the Head of AI and the LD4AI tetrad, • Work with the AI Researcher, the PMM team, and the Head of AI to build and maintain competitor playbooks Qualifications: AI & Technical Expertise • This role requires a minimum of 12 years of related technical experience, • Extensive experience with AI applications—building, implementing, or selling AI solutions at scale, • Experience building multi-agent systems using frameworks like LangGraph, AgentBuilder, or AgentCore, • Hands-on experience evaluating AI agent performance at scale using automated evaluation methods, • Deep understanding of LLM mechanics (you've read 'Attention is All You Need' and can explain transformer architecture in detail), • Experience building or interfacing with MCP (Model Context Protocol) servers, • Strong Python skills with experience building in PyTorch or TensorFlow, • Strong foundation in software engineering principles and current market trends Mindset & Approach • Strong but loosely-held opinions about AI—you have a point of view but update it based on evidence, • Ability to anticipate where the AI landscape is heading and position products accordingly, • Deep curiosity about how AI changes software development, with an obsession for staying current on new AI technology, • Natural storyteller who can take new technology and craft compelling narratives that resonate with technical audiences, • Thrive in ambiguity—you love figuring it out, building new processes, and working in undefined spaces Pay: Target pay ranges based on Geographic Zones* for Level 5: • Zone 1: San Francisco/Bay Area or NYC Metropolitan Area, Boston, Seattle - $191,000 - $263,000**, • Zone 2: Irvine, LA, Monterey, Santa Barbara, Santa Rosa, Austin, Portland, Philadelphia, Chicago - $172,000 - $237,000**, • Zone 3: All other US locations - $163,000 - $224,000** LaunchDarkly operates from a place of high trust and transparency; we are happy to state the pay range for our open roles to best align with your needs. Exact compensation may vary based on skills, experience, and location. *Within the United States, our geographic pay zones are defined by counties surrounding major metropolitan areas. **Restricted Stock Units (RSUs), health, vision, and dental insurance, and mental health benefits in addition to salary. About LaunchDarkly: Modern software delivery was supposed to be the foundation for a thriving digital business but reality has proven otherwise. Slow, inefficient development cycles, costly outages, and fragmented customer experiences are preventing developers from building their best software. The LaunchDarkly platform helps developers innovate on new features faster while protecting them with a safety valve to instantly rewind when things go wrong. Developers can target product experiences to any customer segment and maximize the business impact of every feature. And by gradually rolling out new application components, they escape nightmare "big-bang" technology migrations. The LaunchDarkly platform was built to guide engineers to the next frontier of DevOps by: • Improving the velocity and stability of software releases, without the fear of end customer outages, • Delivering targeted experiences by easily personalizing features to customer cohorts, • Maximizing the business impact of every feature through the ability to experiment and optimize, • Coordinating the release and optimization of software to provide consistent experiences across mobile platforms and device types, • Improving the effectiveness and productivity of engineering teams, by providing insights into engineering cadence and stability At LaunchDarkly, we believe in the power of teams. We're building a team that is humble, open, collaborative, respectful and kind. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status. LD invites any applicant to review our written Affirmative Action Plan. To do so, contact People Ops at _. Do you need a disability accommodation? Fill out this _ and someone from our People Operations team will contact you for assistance.