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Description We are seeking a Lead Transmission Line Engineer who will manage a collaborative and dynamic team working in a fast-paced environment, solving challenging problems involved with electric transmission. The successful candidate will serve as a Lead Engineer and Technical Project Manager on high voltage electric transmission line design projects of overhead and underground systems for some of the largest utilities in the country as well as regional utilities. The candidate will apply NESC, ASCE, ACI, NEC, and other applicable standards in the engineering and design of all types of capital and maintenance projects from 34.5 kV to 765 kV. Additionally, the candidate will direct a team of engineers that regularly perform engineering analyses, PLS-CADD modeling, structure loading calculations, foundation design using MFAD and/or LPILE, design structure framing and hardware assemblies, draft plans and specifications, and prepare bill of materials and procurement documents across project planning, engineering, environmental, permitting, and construction management phases. The successful candidate can expect a fast-paced, diverse work environment and flexible work hours/work arrangements as well as a manager and peers who will encourage career development and growth! In addition, the successful candidate will be involved in applying AI, automation, and digital design platforms to streamline grid modernization and increase design efficiency. This is a senior leadership role with primary responsibilities in client relations, staff management, proposal development, scope creation/change, project execution, and new business capture for the team’s full book of work. The successful candidate will be able to communicate clear expectations, goals, and vision; manage the performance of direct reports; motivate, coach, and mentor skilled professionals; and appropriately delegate project work. The candidate must be capable of managing collaboration and a positive team culture to achieve successful results. Location: This position is a hybrid work position with the potential for remote work for the right candidate located in Pennsylvania, Ohio, or West Virginia. Relocation assistance may be available for qualified candidates. The Challenge: • Direct multiple design teams simultaneously executing various projects and programs for multiple clients., • Develop a team of engineers by training, coaching, and nurturing Leidos’ engineering talent., • Supervise staff by approving timesheets and running the annual performance review process., • Participate proactively as a member of the leadership team of the Transmission Line Section., • Create responses to RFPs, RFIs, and RFQs from clients for new work, including proposal creation and definition of scope of work., • Possess a growth mindset to foster creative problem solving for our clients’ most complex issues., • Promote continuous improvement to develop streamlined processes and tools that facilitate improvements to departmental technical resources via innovation and automation., • Delegate tasks to staff, forecast and plan their future workload, and run recruiting activities to support aggressive growth goals., • Drive the quality control process for the execution team to ensure the highest level of quality in all deliverables., • Liaise with clients to maximize affinity, facilitate business development growth, and foster long-term relationship building., • Manage portfolio health by leveraging Project Managers to independently drive and monitor scope, schedule, and budget. Accountability for schedule compliance requires high awareness and support from assigned Lead Engineers. What Sets You Apart (Required): • Bachelor’s degree in Civil, preferred, or Mechanical Engineering with eight plus (8+) years of relevant experience in the design of high voltage electric utility transmission systems., • Expertise in PLS-CADD and PLS-POLE., • Engineer In Training (EIT) certification., • Work effectively in a team environment; can also work independently., • Track record of outstanding communication to serve as primary point of contact for existing and perspective clients., • Business acumen with a record of understanding and meeting key project performance metrics., • Working onsite in a Leidos or client office is a possibility; some periodic travel may be required., • Ability and passion to develop staff through mentoring. Favorable If You Have: • Two plus (2+) years of supervising staff., • M.S. degree in Structural Engineering., • Experience with TOWER., • P.E. certification or the ability to achieve P.E Certification in 6 months., • Experience with LPILE or FAD, Mathcad, AutoCAD or MicroStation, and Geographic Information Systems (GIS) is a plus. Why Leidos: At Leidos, we deliver innovative solutions through the efforts of our diverse and talented people who are dedicated to our customers’ success. We empower our teams, contribute to our communities, and operate sustainably. Everything we do is built on a commitment to do the right thing for our customers, our people, and our community. Our Mission, Vision, and Values guide the way we do business. We take care of our employees. Leidos seeks the best and the brightest, and in return, we invest in you, with an eye on your future, through career advancement, growth opportunities, and continuous improvement via mentoring, formal and informal project management training and assistance with obtaining pertinent certifications. We challenge you to help solve some of the world’s toughest problems, and reward you with a welcoming culture that recognizes the importance of a strong work/life balance, as well as competitive compensation and benefits. We believe that diversity and inclusion make us all better and offer the chance to have fun and make a difference. We value and support the well-being and mobility of our employees with competitive benefit packages, complementary e-learning training, work-life flexibility, an exciting External Referral Program, and a diverse, inclusive, and ethical workplace. Our recognition as an industry leader is confirmed by the latest national rankings by Engineering News-Record (ENR) ranking Leidos within the Top 10 T&D Firms, and Top 10 Power Firms. If this sounds like the kind of environment where you can thrive, keep reading! Are you ready to make an impact? Begin your journey of a flourishing and meaningful career; share your resume with us today! PowerDelivery PDSTLINE If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo — because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 — and moving faster than anyone else dares. April 30, 2026 For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. Pay Range $92,300.00 - $166,850.00 The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law. About Leidos Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit _. Pay and Benefits Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at _. Securing Your Data Beware of fake employment opportunities using Leidos’ name. Leidos will never ask you to provide payment-related information during any part of the employment application process (i.e., ask you for money), nor will Leidos ever advance money as part of the hiring process (i.e., send you a check or money order before doing any work). Further, Leidos will only communicate with you through emails that are generated by the Leidos.com automated system – never from free commercial services (e.g., Gmail, Yahoo, Hotmail) or via WhatsApp, Telegram, etc. If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at _. If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the _. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.

Job DescriptionDescription: Kinsley Power Systems is seeking an Industrial Sales Engineer to add to their team! The Industrial Sales Engineer's main objective is to sell industrial power generation applications including related equipment (transfer switches, switchgear, load banks, fuel tanks, etc.) to end-users, engineers, electrical contractors, municipalities, government applications and OEMs, among others. Kinsley Power Systems, a family-owned business, has been an industry leader in generator service, sales and rentals for over 60 years. If you want to join a growing company with strong family values, a great culture, a company where you are valued for your hard work and have opportunities to grow – then look no further, come join our Kinsley family! Responsibilities: • Responsible for pursuing new project opportunities and closing sales, • Influences quote development, appropriate equipment and support services, project terms and conditions and ensuring customer support exists through the equipment warranty period, • Meets or exceeds quarterly sales quotas by driving sales with targeted customer types in identified verticals, as well as identifies opportunities with existing accounts in assigned territory, • Negotiates and closes deals which derive significant revenue and associated margins, • Understands the company's complete suite of products and services and identifies and hands-off cross-selling opportunities to other business verticals: residential equipment, rental agreements, prime power equipment, service contract sales, • Makes joint sales calls with appropriate technical/engineering sales resources - providing in-depth technical knowledge of the solutions we have to offer, • Develops long-term relationships with customer decision makers and influencers at the electrical contractor, engineer and building owner levels, • Maintains customer/project data in Customer Relationship Management software (CRM): Tracks active projects for weekly and monthly reporting, documenting of business development activity, and obstacles to success Preferred Skills and Experience: • Bachelor’s degree; or equivalent combination of education and experience will be considered on a case-by-case basis, • Proven passion and success in sales required, • Must be self-motivated with the ability to work independently and in a team atmosphere, • Possess a strong customer services focus with good verbal and written communication skills, • Must possess a strong sense of urgency and a proven ability to meet deadlines, • Proven competency in Microsoft Office, • Ability to work a flexible schedule, including overnight travel as required, • Possess and maintain a current, valid state driver’s license All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin. Requirements: Compensation details: 85000-130000 Yearly Salary PI7e41e395f0d3-25405-39740032

Sr Data Center Commissioning Engineer (Electrical) - Remote This Jobot Job is hosted by: Tony Barhoum Are you a fit? Easy Apply now by clicking the "Quick Apply" button and sending us your resume. Salary: $120,000 - $165,000 per year A bit about us: We are an international conglomerate, with 10k+ employees, we are growing our Energy practice throughout the US and beyond! Our practice is built on the foundation that our people mean more to us than anything else! What that means for you, is that we expect you to enjoy a work life balance that promotes personal health, well being and family life! You will be part of a close-knit team of creative professionals and will be provided opportunities for continued growth, development, and recognition. Why join us? Competitive Base Salary! Competitive Bonus Package! Overtime Pay 401K Matching Contribution Flexible/Unlimited PTO Complete Benefits Package! Flexible Work Schedules! Accelerated Career Growth! Fun Company Activities! Job Details Sr Data Center Commissioning Engineer (Electrical) - Remote Successful candidates will have experience in Electrical Systems & Equipment with a focus in Data Centers and Mission Critical Facilities; experience and an understanding of Building MEP Systems Design, Construction, and Commissioning of Critical Systems ranging in size, rating, and complexity; Commissioning, Testing and Troubleshooting of Electrical Systems and related controls. You will be responsible for reviewing project information, executing daily field activities, maintaining project documentation, assisting the Project Manager, and providing guidance to junior engineers. QUALIFICATIONS ‑ BSc/MSc in Electrical Engineering OR 4+ years of Mission Critical / Data Center experience ‑ PE, EIT, CBCP Preferred, Not Required. ‑ 5+ yrs of experience Commissioning Electrical Systems for Data Center projects, or relevant and applicable industry experience. SKILLS Experience in Mission Critical facility commissioning essential Organized, detail-oriented, analytical, proactive, problem solver Good communication and relationship skills Effective written and verbal communication skills Ability to manage multiple tasks simultaneously and work with limited supervision Knowledge & experience with ASHRAE commissioning guidelines preferred Distributed control system experience a plus Reasonable understanding of Building Management Systems Deep understanding and application of test instrumentation Team player and a “client-first” mentality. DUTIES Commission electrical distribution equipment and related controls, primarily in data center environments, including HV and MV primary distribution Review system designs for compliance with client facility goals Prepare plans and procedures for execution of the commissioning process Conduct commissioning activities from the Design Phase into the Occupation Phase, in accordance with client requirements Attend factory testing of equipment and document procedures and results Conduct physical testing of electrical equipment and measure results using test instrumentation Fully document all field procedures, including results, issues, and observations using online applications Report on electrical system performance and make technical recommendations on issues Work with project teams to coordinate and execute field activities. Review and comment on project documentation, plans, and schedules Submit and maintain daily commissioning reports as required Assist in the training of junior engineers Respond to customer inquiries in a manner that exceeds the customer’s expectations Ensure compliance with company, client, and project safety requirements Knowledgeable with common mechanical, and controls-related building equipment, including: Engine generators / Uninterruptible power supplies & battery systems / Medium and low-voltage electrical switchgear/ PLC controls and sequences of operations / Automatic transfer switches / Static transfer switches / Power distribution units / Busways Grounding Systems. BENEFITS: Competitive Salary – 10% Annual Bonus Opportunity – Over Time Pay – Flex Paid Time Off – Full Healthcare Coverage – 401K with Matching Contribution IMPORTANT NOTICE This is Strictly a Building Engineering position focused on Data Center Commissioning of Electrical Systems and Facility Operations. The firm Does NOT Hire for Any I.T. positions. Applicants Seeking IT-related opportunities Should NOT Apply.. Thank you for your understanding. Interested in hearing more? Easy Apply now by clicking the "Quick Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. 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Cover Letter Required Abraxas Energy Consulting, LLC, a subsidiary of Hillmann Consulting, LLC, is a nationwide energy auditing and consulting firm that provides energy assessments, training, and software tools to assist facilities in reducing energy and water waste. Together, Abraxas and Hillmann can provide customized Energy Analysis, Energy Accounting, Environmental Health and Safety, Remediation Support, Real Estate Due Diligence, Geotechnical, and Laboratory Analysis services. Abraxas and Hillmann deliver consulting with an uncompromising commitment to customer service, safety, and increasing value and quality to our clients. Abraxas has an immediate opening for an experienced Energy Engineer for nationwide coverage out of the Union, NJ area to lead facility energy and water assessments and provide other energy consulting services. Typical assignments will include leading on-site energy and water assessments, retro-commissioning activities, field measurement and verification, and field diagnostic testing/deployment. The Energy Engineer is expected to be capable of leading an energy audit following ASHRAE’s Level 2 energy audit methodology for most facilities independently from start to finish. However, the Energy Engineer is also expected to work in small teams when necessary on larger projects and to facilitate mentorship of more junior team members. This position requires a high level of individual initiative, responsibility, work ethic and time management skills to meet shifting and overlapping project deadlines. The work will involve regular interaction with clients in person, on the phone, and via email. The Energy Engineer will work with team members to request information, solicit feedback, and clearly define project responsibilities is crucial. The Energy Engineer will also need to communicate with their peers and Project Managers regarding their schedule, roadblocks to their work, and additional support that may be required. Responsibilities: Field Tasks The tasks will range in complexity from one day walk thru site visits to investment grade energy audits to identify energy reduction opportunities in lighting, HVAC, building envelope, water, renewables, controls, and other energy and water using systems. • Conduct/lead detailed energy surveys of facilities ranging from simple office or multifamily properties to complex high-rise offices, manufacturing, and/or other energy intensive buildings., • Lead building retro-commissioning activities including functional performance testing and monitoring of equipment., • Lead measurement and verification field work including visual verification, sampling strategies, and complex field measurements., • Conduct energy audits., • Adapt to varying field data collection techniques including handwritten notes, tablet-based tools, photo logging, review of as-built drawings, review of building control systems, use of measurement devices and hand tools, etc., • Deploy field diagnostic equipment such as wireless monitoring systems, data loggers, flow meters, power loggers, multimeters, temperature devices, air flow meters, manometers, lighting meters, current transducers, appropriate personal protective equipment (PPE), hand tools, etc. Analysis • Keep current with new energy efficiency technologies and strategies., • Analyze and evaluate results from measurements including interval energy data, lighting readings, etc., • Interpret, and tabulate information from facility mechanical and electrical drawings such as lighting fixture counts, mechanical equipment ratings/locations, piping diagrams, etc., • Interpret control strategies and sequences. Analyze and propose optimum strategies for all types of energy using equipment., • Complete detailed energy allocations that predict with reasonable accuracy the breakdown of major energy users in a building., • Evaluate operations and maintenance savings and estimate the cost to implement energy conservation measures., • Exercise experience and research to scope energy improvements to building systems in detail and quantify accurate installed cost estimates., • Communicate with and obtain vendor quotes for proposed improvements as needed., • Complete life-cycle cost analysis for energy improvement projects., • Perform energy and economic analysis of energy efficiency measures using energy modeling software, spreadsheets and other tools. Reporting and Presentation • Document and communicate the results of energy audits through written reports, PowerPoint presentations, meetings, and conference calls., • Meet with clients and team members to discuss energy efficiency measures., • Keep current with new energy efficiency technologies and strategies., • Convey technical concepts and recommendations in a clear, concise, and meaningful way. Other • Review the work of more junior Auditors and Energy Analyst assigned to your own projects and ensure all tasks are completed accurately., • Mentor and train supporting Energy Analyst and Auditor in how best to support the engineering project., • Conduct peer review of other engineers’ work., • Conduct scoping assessments to evaluate client facilities for potential work with Abraxas, • Support business development through technical input on proposals, quotes, capabilities, etc., • Support operations with the optimization of processes and development and improvement of tools, templates, resources, and training content. This job has no supervisory responsibilities. Minimum Qualifications (Education, Skills, and Experience): Meeting these qualifications will make you eligible for a starting salary at the low end of the posted range: • Preferred: Bachelor of Science Degree in Mechanical Engineering, Electrical Engineering, or other four-year STEM degree AND 3+ years of experience in the analysis of energy using systems in existing buildings., • Minimum: 2-year technical, math, or science degree AND 5-10+ years pf experience in the analysis of energy using systems in existing buildings., • Mastery of the English language – written and spoken., • Advanced competency with Microsoft Excel and Microsoft Word and ability to improve., • Experience surveying and analyzing the operation of complex mechanical and electrical systems in buildings and their associated control algorithms., • Experience writing detailed energy audit and engineering reports including conveying as-found conditions and recommended capital improvements., • Experience with the application of advanced mathematical concepts to energy use analysis in buildings., • Experience presenting the results of an energy audit or re-commissioning project to small groups of stakeholders. Additional Valuable Qualifications: Meeting these qualifications may make you eligible for a starting salary at the high end of the posted range: • 7+ Years of related experience, • NABCEP Certification: PV Installation Professional (PVIP), PV Design Specialist (PVDS), or PV Installer Specialist (PVIS), • Professional Engineer license in any state., • A certification in any of the following: Certified Energy Manager, Certified Lighting Efficiency Professional, LEED Accreditation, Certified Energy Auditor, Building Performance Institute, HERS Rater., • Experience with self-performing advanced field measurements in existing buildings including: spot and long-term power measurements, 3 phase power measurements, airflow duct traverses, ultrasonic flow metering, combustion gas analysis, airflow hood testing, thermal imaging, non-destructive envelope measurements, etc., • Experience in new construction and/or existing building commissioning., • Experience developing energy simulation models with DOE-2, eQUEST, TRANE TRACE 700, TRACE 3D or similar programs., • Experience creating measurement & verification plans for energy projects. TRAVEL - While many project assignments are local or regional, the Energy Auditor should expect to be gone from home 5-7 nights per month on average. Abraxas reimburses all travel expenses according to the company’s Travel and Expense Policy. Benefits: Abraxas Energy Consulting, LLC and Hillmann Consulting, LLC are committed to the professional development and well-being of our employees. The following benefits are offered to employees: · Competitive salary · Paid vacation and sick leave · Medical, dental, and vision insurance · Employer-401(k) Plan · Tuition assistance · Volunteer time off Abraxas Energy Consulting, LLC is an equal opportunity employer.

Grazitti Interactive is a global digital services provider leveraging cloud, mobile and social media technologies to reinvent the way you do business. Since 2007, Grazitti has been helping companies power their businesses with its marketing automation and cloud innovation services. As a global consultancy, we have strategic partnerships with technology pioneers like Marketo, Salesforce, Google, Alteryx, Microsoft, Adobe, Lithium, Optimizely, Acquia, Shopify and Jive. We combine these platforms with our innovative approaches to provide effective, result-oriented solutions to our clients. We have been helping hundreds of global companies to transform their business technologies and save millions. We are looking for proficient Sr. Software Engineer-Salesfoce Please find below the Job description. Job Summary As a Salesforce Developer, you would be working on the design and development of applications on Salesforce for leading US customers. You would develop and debug complex new software enhancements for Salesforce projects as a part of our Salesforce development team. Experience 5+ Years of relevant experience in Salesforce implementation. Attributes and Skills required Salesforce.com DEV401 or ADM 201 Certification, Sales or Service Consultant Certification is preferred. 3+ Years Salesforce CPQ experience required. Hands On experience in developing applications using Salesforce.com developer toolkit including Apex Classes, Controllers and Triggers, Visualforce, Force.com IDE, Migration Tool, Web Services. Proficient in HTML, XML, JavaScript, SQL, Java or C#, SOAP-based web services. Knowledge of data management, SQL and RDBMS technologies, SOA design principles would be preferred. Familiarity with Outbound Messaging implementation is a plus. Excellent Communication Skills required. Other Key Responsibilities • Adherence to internal QMS (Quality Management System) procedures & Information Security Controls according to implemented ISMS (Information Security Management System) of the Organization., • Report immediate Reporting Manager/Supervisor related to incidents,

The Personalization team makes deciding what to play next on Spotify easier and more enjoyable for every listener. We seek to understand the world of music, podcasts, and audiobooks better than anyone else so that we can make great recommendations to every individual person and keep the world listening. Every day, hundreds of millions of people all over the world use the products we build which include destinations like “Home” and “Search” as well as original playlists such as “Discover Weekly” and “Daily Mix.” Personalization’s Minesweeper squad produces Human Understandable Language Knowledge to enrich music and talk content understanding. We use AI and ML techniques, including Large Language Models, to understand music, podcasts and audiobooks, building reliable, scalable systems to distribute that knowledge to Spotify internal teams, users, and creators. We are looking for a Machine Learning Engineer to join our team and help build the future of music, podcast and audiobook listening experiences for millions of listeners at Spotify. This is a unique opportunity to help develop and shape Spotify content enrichment, and recommendations. You’ll grow your skills in ML engineering at scale, work with a cross-functional team of Data Engineers, Backend Engineers, and researchers, and join a motivated and supportive team. • Utilize in-house and 3rd party LLMs to solve language understanding problems, • Employ techniques such as fine-tuning and RAG to improve modelsContribute to designing, building, evaluating, shipping, and refining Spotify’s product by hands-on ML development, • Help drive optimization, testing, and tooling to improve quality of our content enrichment assets, • Collaborate with cross-functional teams of MLEs, data and backend engineers, and other stakeholders including tech research, data science, and product to develop new features and technologies, • Be a participant in our AI Foundation’s ML community and work collaboratively and efficiently within our existing platforms and systems Perform data analysis to establish baselines and inform product decisions, • Stay up-to-date on the latest machine learning algorithms and techniques, • You have a strong background in machine learning, especially experience with Large Language Models, • You have professional experience in applied machine learning, • Extensive experience working in a product and data-driven environment (Python, Scala, Java, SQL, with Python experience required) and cloud platforms (GCP or AWS), • You have some hands-on experience implementing or prototyping machine learning systems at scale, • You have experience architecting data pipelines and are self-sufficient in getting the data you need to build and evaluate models, using tools like Dataflow, Apache Beam, or Spark, • You care about agile software processes, data-driven development, reliability, and disciplined experimentation, • You have experience and passion for fostering collaborative teams, • Experience with PyTorch, TensorFlow, and/or other scalable Machine learning frameworks. Experience with Ray or TFX is a plus, • Bonus if you have experience with architecting near real time pipelines, • We offer you the flexibility to work where you work best! For this role, you can be within the North America region as long as we have _This team operates within the Eastern Standard time zone for collaboration.The United States base range for this position is $138,250- $197,500 plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays, paid sick leave. These ranges may be modified in the future. Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens. At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we’re here to support you in any way we can. Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service.We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Mission The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. About SIMBA Voice Agents by Speechify SIMBA lets companies deploy natural, human-sounding AI voice agents in 71+ languages with sub-second latency. We're growing fast and need the systems to match — which means building the outbound engine, sales infrastructure, and automation stack that fills pipeline and keeps it moving. About the Role We're hiring our first GTM Engineer for SIMBA. You'll build and own the technical systems that power our outbound motion — from lead enrichment and sequencing to CRM architecture and AI-powered personalization at scale. This is purely an infrastructure and systems role. You'll be the person behind the scenes making sure the right prospects get the right message at the right time, and that the Sales team has the tooling and data to close. If you've built outbound systems from scratch, live inside Clay and Apollo, and measure your work in pipeline influenced — read on. What You'll Do • Build and maintain SIMBA's outbound infrastructure — lead sourcing, enrichment pipelines, scoring models, and sequencing workflows that run at scale, • Own the GTM tech stack end-to-end: CRM (HubSpot/Salesforce), enrichment (Clay, Apollo, Clearbit), sequencing (Outreach, Instantly), and the glue between them, • Deploy AI agents for automated prospect research, personalized outreach generation, and follow-up workflows — reducing manual work for the Sales team, • Instrument the full top-of-funnel: track what's working, cut what isn't, and continuously optimize for meetings booked and pipeline created, • Build integrations and automations via APIs, webhooks, and tools like Zapier/Make to keep data clean and systems in sync, • Evaluate and adopt new AI and GTM tooling rapidly — be the team's resident expert on what's emerging and what's worth building on What We're Looking For • Solid experience in GTM engineering, growth engineering, or RevOps role with a heavy technical lean, • You've personally built outbound systems from scratch — enrichment pipelines, multi-step sequences, lead scoring — not just managed existing ones, • Deep hands-on experience with the modern GTM stack: Clay, Apollo, HubSpot or Salesforce, Outreach or Instantly, Zapier/Make, Webhooks, REST APIs, • You think in funnels and measure everything — pipeline influenced, reply rates, meeting conversion, and cost per opportunity are metrics you track obsessively, • You ship fast, keep things simple, and don't wait for permission Nice to Have • Experience building GTM systems for an AI, voice, or developer-tools product, • Familiarity with contact center, CX, or telephony buyer personas, • Background at a B2C company that also runs a B2B or API sales motion Why Speechify SIMBA Build a product that genuinely impresses prospects — sub-second latency and 71+ languages speaks for itself. You'll have high ownership with direct input on GTM strategy, work alongside a team that stays embedded with customers, and operate in a fast-moving environment where your systems have outsized impact. The United States Salary range for this role is - $105,000–$140,000 base salary. On-target earnings of $150,000–$200,000. Think you’re a good fit for this job? Tell us more about yourself and why you're interested in the role when you apply. And don’t forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit? Refer them! Speechify is committed to a diverse and inclusive workplace. Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

The world’s most sophisticated companies rely on AlphaSense to remove uncertainty from decision-making. With market intelligence and search built on proven AI, AlphaSense delivers insights that matter from content you can trust. Our universe of public and private content includes equity research, company filings, event transcripts, expert calls, news, trade journals, and clients’ own research content. The acquisition of Tegus by AlphaSense in 2024 advances our shared mission to empower professionals to make smarter decisions through AI-driven market intelligence. Together, AlphaSense and Tegus will accelerate growth, innovation, and content expansion, with complementary product and content capabilities that enable users to unearth even more comprehensive insights from thousands of content sets. Our platform is trusted by over 6,000 enterprise customers, including a majority of the S&P 500. Founded in 2011, AlphaSense is headquartered in New York City with more than 2,000 employees across the globe and offices in the U.S., U.K., Finland, India, Singapore, Canada, and Ireland. Come join us! About the Team: Our diverse Product & Engineering team values innovation, collaboration, and the continuous improvement of our platform. We offer a dynamic work environment where employees can grow and thrive while working on cutting-edge technology that shapes the future of AI and search. At AlphaSense, we believe that diverse experiences and perspectives are critical to our success. We are committed to creating an inclusive workplace where all employees feel valued and empowered to be their authentic selves. About the Role: At AlphaSense, GenSearch is a production, customer-facing generative AI system delivering high-confidence answers across multiple domains. Our team owns the financial data agent within GenSearch — connecting AI reasoning to structured financial datasets — as well as the financial data web experiences that power fundamentals, M&A, screening, and other core capabilities. We are hiring a hands-on Principal Engineer to help us: • Reduce latency in AI-powered financial answers, • Simplify fragmented and legacy-heavy architecture, • Improve cross-dataset querying and screening, • Ship new datasets and product capabilities without increasing systemic complexity This role sits at the intersection of AI systems, financial data infrastructure, and product-grade web development. Who You Are: • 12+ years building and operating production systems, • Experience operating at a Staff or Principal level, • Proven ability to simplify complex systems and reduce architectural entropy, • Strong background in distributed systems and performance optimization, • Experience building AI-integrated systems (LLM orchestration, tool usage, retrieval, evaluation), • Comfortable working across backend systems and modern frontend frameworks (e.g., React), • Experienced designing APIs and durable service contracts, • Effective at driving cross-team technical initiatives What You’ll Do: Improve AI & Performance • Optimize orchestration between LLM workflows, structured datasets, and services, • Introduce performance benchmarks, observability standards, and SLO discipline, • Improve reliability and correctness of AI-backed financial responses Simplify Architecture • Reduce fragmentation across datasets and services, • Partner with data platform teams to define scalable dataset integration patterns, • Remove legacy complexity while continuing to ship Build & Evolve Web Products • Contribute directly to backend and frontend systems powering financial data experiences, • Define durable contracts between AI-generated outputs and frontend consumers, • Ensure performance and usability at both API and product layers Lead Across Teams • Drive technical initiatives spanning multiple engineering teams, • Align stakeholders on service boundaries and system design decisions, • Raise the bar for system design, reliability, and operational rigor For base compensation, we set standard ranges for all roles based on function and level benchmarked against similar stage growth companies and internal comparables. In order to be compliant with local legislation, as well as to provide greater transparency to candidates, we share salary ranges on all job postings regardless of desired hiring location. Final offer amounts are determined by multiple factors including candidate experience/expertise and may vary from the amounts listed below. You may also be offered equity, and a generous benefits program. Compensation Range $246,000 - $339,000 USD AlphaSense is an equal-opportunity employer. We are committed to a work environment that supports, inspires, and respects all individuals. All employees share in the responsibility for fulfilling AlphaSense’s commitment to equal employment opportunity. AlphaSense does not discriminate against any employee or applicant on the basis of race, color, sex (including pregnancy), national origin, age, religion, marital status, sexual orientation, gender identity, gender expression, military or veteran status, disability, or any other non-merit factor. This policy applies to every aspect of employment at AlphaSense, including recruitment, hiring, training, advancement, and termination. In addition, it is the policy of AlphaSense to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations, and ordinances where a particular employee works. Recruiting Scams and Fraud We at AlphaSense have been made aware of fraudulent job postings and individuals impersonating AlphaSense recruiters. These scams may involve fake job offers, requests for sensitive personal information, or demands for payment. Please note: • AlphaSense never asks candidates to pay for job applications, equipment, or training., • All official communications will come from an @_ email address., • If you’re unsure about a job posting or recruiter, verify it on our _. If you believe you’ve been targeted by a scam or have any doubts regarding the authenticity of any job listing purportedly from or on behalf of AlphaSense please contact us. Your security and trust matter to us.

Knock is on a mission to help products communicate with their users in a more thoughtful way. Building product notifications in-house takes months, often leading to poor user experiences. We believe that—when done right—product notifications help users find value in the products they use every day. That’s why we built Knock. We're a remote-first (with a NYC base) Series A startup of 25 employees that believe in the power of great software. We're APIs all the way down at Knock—Stripe for payments, Algolia for search, WorkOS for SSO. We're excited to add Knock to that list and to push forward the API-first movement. If you are, too, come join us and let's build something great together. We’re backed by top investors and operators including Craft Ventures, Afore Capital, Preface Ventures, Worklife Capital, Guillermo Rauch (CEO/Founder @ Vercel), Scott Belsky (CPO @ Adobe), Adam Gross (CEO @ Heroku), and John Kodumal (CTO @ LaunchDarkly), to name a few. We’re looking for a software engineer to join our small but growing platform team. Platform engineering at Knock is the foundation for everything else we do. Because Knock is built by and for engineers, there’s a blurry line between “platform” and “product.” The product is the platform. The platform team is a specialized engineering team at Knock that designs, builds, and maintains the infrastructure and services needed in order to run our product. They are responsible for the availability and reliability of our service, from API to notification engine execution. They support the product engineering team in their role to build and ship customer-facing features. Knock’s platform engineers orient around measurable goals set by our CTO, and work with a high degree of autonomy to achieve greater scale, resilience, and performance for our customers & partners. This is a high-agency role. As a team member, you’ll craft and own initiatives to help us hit our goals. The team collaborates heavily, but each individual has decision-making authority over their initiatives. We care deeply about building a team and culture that is inclusive and equitable for people of all backgrounds and experiences, and believe firmly that the best teams are diverse. We particularly encourage people from underrepresented communities to apply. Last thing: you can be a great fit even if you don't perfectly match the requirements below. We know there's a lot we don't know and haven't thought of yet, and we're looking for teammates who can tell us what those things are. If that's you, don't hesitate to apply and tell us about yourself! As a platform engineer you’ll contribute across a range of scaling, product and DX initiatives. By way of example, here are some platform team highlights from the last year: Facilitated a 8x YoY increase in monthly messages sent Significantly improved latency and margins of our observability product features by adopting ClickHouse for event data _ Instrumented our services with distributed tracing Over the next year you may find yourself working on: Scaling our service for the next several growth multiples (billions of txns/month) Large-scale dynamic user segmentation Multi-region support Canary deploys We’re looking for a senior engineer (5+ years of experience) While experience with our stack is not required, you should be very comfortable with multiple levels of the modern backend stack. For example, you might have experience with GCP or AWS, a modern language, container orchestration, and a tool such as Chef or Ansible. We work primarily with Elixir, Terraform, Kubernetes, and AWS. We’d love to see expertise in an area that complements our team’s skillset, be it databases, event-driven architectures, security, dev tooling, etc. The ideal candidate will have experience building and operating large-scale production systems at a high-growth startup. Strong written and verbal communication skills are a must. The team is internationally distributed and relies heavily on asynchronous communication. Our backend services are primarily written in Elixir (which runs on the Erlang VM). We build our front end using Next.js in TypeScript, powered by GraphQL. Our code runs in AWS on EKS using a mixture of Postgres on Aurora, Redis, MongoDB, and ClickHouse for data storage. All our infrastructure is written in Terraform and continuously deployed via Terraform Cloud. All Knock engineers have access to Claude, Cursor & Devin licenses and budget for LLM API spend (e.g. Claude Code). We’re finding that AI tooling increases our leverage as a small team, but we’re also clear-eyed about AI’s current limitations. You don’t need to be all-in on AI to join this team, but you should be curious and willing to learn with us.

At Ramp, we’re rethinking how modern finance teams function in the age of AI. We believe AI isn’t just the next big wave. It’s the new foundation for how business gets done. We’re investing in that future — and in the people bold enough to build it. Ramp is a financial operations platform designed to save companies time and money. Our all-in-one solution combines payments, corporate cards, vendor management, procurement, travel booking, and automated bookkeeping with built-in intelligence to maximize the impact of every dollar and hour spent. More than 45,000 businesses, from family-owned farms to e-commerce giants to space startups, have saved $10B and 27.5M hours with Ramp. Founded in 2019, Ramp powers the fastest-growing corporate card and bill payment platform in America, and enables over $100 billion in purchases each year. Ramp’s investors include Thrive Capital, Sands Capital, General Catalyst, Founders Fund, Khosla Ventures, Sequoia Capital, Greylock, and Redpoint, as well as over 100 angel investors who were founders or executives of leading companies. The Ramp team comprises talented leaders from leading financial services and fintech companies—Stripe, Affirm, Goldman Sachs, American Express, Mastercard, Visa, Capital One—as well as technology companies such as Meta, Uber, Netflix, Twitter, Dropbox, and Instacart. Ramp has been named to Fast Company’s list and LinkedIn’s for more than 3 years, as well as the Forbes , CNBC , and TIME Magazine’s 100 _. Growth engineering builds the systems that power nearly every growth channel at Ramp. As an engineer here, you’ll own some of the most foundational problems in our growth stack: managing complex data flows, ingesting diverse sources, applying LLMs to unstructured information, and building internal platforms that scale growth across the company. You’ll partner with product, data, and design, and work directly with stakeholders across growth, sales, marketing, and finance to accelerate Ramp’s growth. This role offers the opportunity to shape Ramp’s growth engine with high ownership and direct impact. Check out our _ to learn more about our tech stack, mission, and values! Build software to grow Ramp to its next millions of users Build data ingestion and activation pipelines between Ramp products, business systems, external systems, and third-party data Architect and implement internal platforms (e.g. experimentation, incentives) that power all growth channels at Ramp Leverage AI for unstructured data processing, data acquisition and normalization, and growth signal derivation Drive business goals through experiments and metric-driven software development Work in a dynamic engineering team with partners in product, data, and design Minimum of 3 years of experience in a software development role Experience shipping fast, reliable, real-time applications using modern development tools and infrastructure Ability to thrive in a fast-paced, constantly improving, start-up environment that focuses on solving problems with iterative technical solutions Ability to improvise and develop creative solutions when common approaches fail. Strong value of pragmatism over idealism in times of uncertainty Perpetual curiosity and passion for honing your craft Start up experience as a technical co/founder or early engineer Experience with the modern data stack - including ETL tools like Fivetran, workflow orchestrators like Airflow, and data platforms like Snowflake Experience with applying AI/LLMs in production use cases Strong perspective on engineering development cycle (system design, documentation + testing, best practices for codebase development) Experience building user-facing data applications Understanding of the tools that power marketing/sales automation, personalization, and analytics 100% medical, dental & vision insurance coverage for you Partially covered for your dependents One Medical annual membership 401k (including employer match on contributions made while employed by Ramp) Flexible PTO Fertility HRA (up to $5,000 per year) WFH stipend to support your home office needs Wellness stipend Parental Leave Relocation support to NYC or SF (as needed) Pet insurance If you are being referred for the role, please contact that person to apply on your behalf. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. _

Mission The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. About SIMBA Voice Agents by Speechify SIMBA lets companies deploy natural, human-sounding AI voice agents in 71+ languages with sub-second latency. We're growing fast and need the systems to match — which means building the outbound engine, sales infrastructure, and automation stack that fills pipeline and keeps it moving. About the Role We're hiring our first GTM Engineer for SIMBA. You'll build and own the technical systems that power our outbound motion — from lead enrichment and sequencing to CRM architecture and AI-powered personalization at scale. This is purely an infrastructure and systems role. You'll be the person behind the scenes making sure the right prospects get the right message at the right time, and that the Sales team has the tooling and data to close. If you've built outbound systems from scratch, live inside Clay and Apollo, and measure your work in pipeline influenced — read on. What You'll Do • Build and maintain SIMBA's outbound infrastructure — lead sourcing, enrichment pipelines, scoring models, and sequencing workflows that run at scale, • Own the GTM tech stack end-to-end: CRM (HubSpot/Salesforce), enrichment (Clay, Apollo, Clearbit), sequencing (Outreach, Instantly), and the glue between them, • Deploy AI agents for automated prospect research, personalized outreach generation, and follow-up workflows — reducing manual work for the Sales team, • Instrument the full top-of-funnel: track what's working, cut what isn't, and continuously optimize for meetings booked and pipeline created, • Build integrations and automations via APIs, webhooks, and tools like Zapier/Make to keep data clean and systems in sync, • Evaluate and adopt new AI and GTM tooling rapidly — be the team's resident expert on what's emerging and what's worth building on What We're Looking For • Solid experience in GTM engineering, growth engineering, or RevOps role with a heavy technical lean, • You've personally built outbound systems from scratch — enrichment pipelines, multi-step sequences, lead scoring — not just managed existing ones, • Deep hands-on experience with the modern GTM stack: Clay, Apollo, HubSpot or Salesforce, Outreach or Instantly, Zapier/Make, Webhooks, REST APIs, • You think in funnels and measure everything — pipeline influenced, reply rates, meeting conversion, and cost per opportunity are metrics you track obsessively, • You ship fast, keep things simple, and don't wait for permission Nice to Have • Experience building GTM systems for an AI, voice, or developer-tools product, • Familiarity with contact center, CX, or telephony buyer personas, • Background at a B2C company that also runs a B2B or API sales motion Why Speechify SIMBA Build a product that genuinely impresses prospects — sub-second latency and 71+ languages speaks for itself. You'll have high ownership with direct input on GTM strategy, work alongside a team that stays embedded with customers, and operate in a fast-moving environment where your systems have outsized impact. The United States Salary range for this role is - $105,000–$140,000 base salary. On-target earnings of $150,000–$200,000. Think you’re a good fit for this job? Tell us more about yourself and why you're interested in the role when you apply. And don’t forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit? Refer them! Speechify is committed to a diverse and inclusive workplace. Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Description About Us At Soracom, our mission is Making Things Happen, For a World That Works Together. We believe connectivity has the power to transform industries, enable innovation, and help businesses solve real-world challenges. From startups launching their first connected product to global enterprises managing millions of devices, we empower our customers to bring their ideas to life. With remote teams across Japan, the US, and Europe, Soracom continues to expand its global team to keep pace with the company's rapid growth. We are an Equal Opportunity Employer and take pride in the diversity of our employees, valuing the unique experiences, perspectives, and expertise that people from different backgrounds bring to our business. We believe in Developing a Dream Team by hiring exceptional people, investing in their growth, and creating an environment where individuals and teams can do their best work. The ability to develop groundbreaking technologies is one of our key assets, and our people make it happen. Come join Soracom and help create the transformative technology that enables our customers to engineer a better world. About the Role Soracom is seeking a Customer Success Engineer / Architect to serve as the technical counterpart to our Customer Success Managers (CSMs) for strategic and high-growth accounts. This role is focused on post-sales technical engagement, with the primary objective of diving deep into existing customer deployments, understanding technical architectures and market environments, and driving retention and net revenue expansion. In this role, you will partner closely with customers to optimize their use of Soracom services, identify new opportunities for value creation, and expand overall share of wallet. You will act as a trusted technical advisor, solution architect, and strategic partner to customers operating in complex IoT environments across industries such as healthcare, energy, logistics, and industrial sectors. This position requires strong technical fluency combined with business awareness. You should be comfortable translating architectural recommendations into measurable business outcomes, helping customers achieve both technical success and commercial value. Success in this role will be measured by customer satisfaction, retention, and growth, including up-selling and cross-selling opportunities, as well as your contribution to broader sales and business objectives. Key Responsibilities • Partner with Customer Success Managers (CSMs) to support and grow assigned strategic accounts, • Own the technical success and ongoing optimization of customer deployments, • Develop a deep understanding of customer architectures, device deployments, and connectivity models, • Serve as a trusted technical advisor to customer engineering and product teams, • Lead technical discovery, demos, and presentations, adapting in real time to customer requirements, • Support solution-focused discussions for both existing account expansion, • Identify and drive expansion opportunities and support renewals through strong technical guidance, • Help customers adopt additional Soracom capabilities to increase long-term value and platform usage, • Proactively identify optimization opportunities and architectural improvements, • Troubleshoot complex connectivity and system issues in collaboration with internal teams, • Translate customer pain points into clear technical and business-aligned solutions, • Communicate customer feedback and requirements to product and engineering teams, • Collaborate cross-functionally to align customer needs with product direction and delivery, • Contribute to internal best practices and reusable assets to scale customer success efforts, • Collect and share competitive insights to inform product strategy Requirements • 7+ years of experience in IoT, networking, cloud architecture, or cellular connectivity in customer-facing roles, • Strong ability to explain complex technical concepts clearly to both technical and non-technical audiences, • Solid technical foundation in networking, cloud, and/or software development, • Demonstrated problem-solving and troubleshooting skills in complex systems and environments, • Ability to manage multiple priorities and work effectively across parallel customer engagements, • Strong interpersonal and communication skills, with experience collaborating across diverse and global teams, • Curiosity and a continuous learning mindset, with a willingness to explore new technologies and approaches, • Experience using AI tools to improve personal productivity and enhance customer engagement, • Excellent written, verbal, and presentation skills, • Willingness to travel as needed, • Bachelor’s degree in Computer Science or equivalent practical experience Desirable Experience and Skills • Experience working within IoT ecosystems, including device, connectivity, and cloud integration, • Experience developing or integrating both hardware and software solutions, • Familiarity with public cloud platforms and services such as AWS, Azure, or GCP, • Experience configuring and working with cellular hardware, including modules and gateways, • Strong understanding of network infrastructure concepts, including routing, switching, and firewalls, • Experience with APIs, system integrations, and data flow between distributed systems, • Familiarity with cellular technologies such as LTE, 5G, and eSIM, • Experience in solution architecture, technical consulting, or similar customer-facing engineering roles Location Fully remote work, must reside in the USA. Benefits • Remote-first work environment for employees based in the United States, • Flexible scheduling that supports productivity and work-life balance while accommodating customer needs and team collaboration, • Access to modern tools, a dedicated technology budget, and leading AI platforms to help you innovate, learn, and do your best work, • Opportunities for rapid learning, professional development, and career growth through exposure to complex, real-world customer challenges, • Skills-based career progression, with advancement based on impact, contribution, and performance rather than tenure, • Collaborative, globally distributed team environment with experienced and highly capable colleagues across the US, Europe, and Japan, • Comprehensive health benefits including medical, dental, and vision coverage, • Retirement benefits, including a 401(k) plan and company match, • Life insurance, including basic, voluntary, and AD&D coverage, • Paid time off, including vacation, sick leave, volunteer time and company-observed holidays, • Family-friendly benefits, including maternity, paternity, and parental leave, • Short-term and long-term disability benefits, • Employee stock option program

About Atria Atria is a membership-based preventive health care practice delivering cutting-edge primary and specialty care in New York, South Florida, Los Angeles (2026), and through 24/7 telemedicine globally. Our multi-specialty team of 60+ top in-house physicians provides proactive, preventive, and precision-based care for Atria members and their families. We aim to optimize lifespan and healthspan through meticulous screening, leading-edge therapeutics, and tailored interventions designed to prevent disease and detect it at the earliest possible stages. Each member's care is led by a dedicated Chief Medical Officer who collaborates with specialists in cardiology, neurology, pediatrics, women's health, endocrinology, integrative health, performance and movement, nutrition, and more. Through our nonprofit Atria Research Institute and Public Health Institute, we also work to accelerate the translation of medical breakthroughs and expand access to preventive care for as many people as possible. Atria Health is seeking a Software Engineer (Product) to help design, build, and scale the systems that power our member and clinical experiences. This is an individual contributor role focused on: • Building high-quality product features across our stack (web, mobile, backend), • Owning projects end to end, from design to launch and iteration, • Partnering closely with Product, Design, and Clinical teams to ship measurable outcomes You’ll work with product managers and other engineers to shape how we build features, contribute to our architecture, and ensure that what we ship is reliable, observable, and grounded in data. From clean APIs and performant UIs to strong monitoring and analytics in Mixpanel, you’ll care about both how we build and what we achieve. • Languages: TypeScript, • Backend: Node, Express, • Frontend: React, • Infrastructure: Google Cloud Platform, Terraform, • Database: MySQL, • Tooling & Integrations: Github, Sentry, Okta, Mixpanel, Omni, third-party APIs, • Collaborate with product managers, designers, and clinicians to turn product requirements into clear technical plans., • Own end-to-end delivery of features and services: design, implementation, testing, rollout, and iteration., • Design and implement APIs, data models, and integrations supporting your core domain (member journeys, clinical workflows, care coordination), • Contribute to evolving our architecture so teams can build new experiences quickly without re-inventing the wheel., • Build with reliability and performance in mind: help define graceful failure modes, timeouts, and efficient queries., • Participate in design reviews and RFCs, bringing a pragmatic, product-focused perspective., • Write well-tested code with meaningful unit tests and integration tests,, • Instrument features with high-quality analytics in Mixpanel, using consistent events and properties across products., • Help maintain dashboards and alerts that reflect real user outcomes, • Contribute to and uphold engineering standards: coding conventions, design patterns, documentation practices., • Give thoughtful and constructive code reviews, • ~4+ years of professional software engineering experience building product experiences in production environments., • Track record of owning and shipping features or projects in a modern web stack., • Experience collaborating closely with product and design on user-facing features., • Comfortable working in evolving domains and complex making tradeoffs., • Strong full-stack skills: you can design an API and schema, implement backend logic, and build the UI that consumes it., • Proficiency with TypeScript and at least one modern frontend framework (ideally React)., • Experience with at least one cloud provider and infrastructure-as-code (e.g., Terraform)., • Solid instincts for systems design basics: reliability, performance, and security, • Comfortable debugging across the stack: logs, traces, metrics, and data., • Take ownership of your work end to end and follow through on details., • Communicate clearly in writing and in meetings, tailored to your audience., • Comfortable working with clinicians, operations, and other non-technical partners., • Open to feedback and invested in helping the team continuously improve., • Experience in healthcare, digital health, or other regulated domains (HIPAA, PHI, SOC 2, etc.)., • Exposure to EHRs, Wearables Integrations, or other health data platforms This role reports to the VP of Engineering. This is a remote role with occasional travel to Atria locations. $125,000–$240,000 depending on location At Atria, we are proud to offer every member of the Atria team: • Excellent health and wellness benefits, 100% paid by Atria effective date of hire, • OneMedical membership for employees & dependents giving access to 24/7 virtual care, • Fertility & family planning, • Company-covered preventive health screenings through partner hospitals (Calcium score), • Fitness Perks including Wellhub +, • 401k contributions and 4% match starting after 6 months, • Flexible Time Off, • Continuing medical education (CME) and CEU support for professional licensure, • Time to give back and make an impact in underserved communities

Utilidata is a fast-growing NVIDIA-backed edge AI company enabling greater visibility and control of power utilization in energy-intensive infrastructure, like the electric grid and data centers. Karman, the company’s distributed AI platform powered by a custom NVIDIA module, is transforming the way utility companies operate the grid edge and will enable data centers to unlock more compute for the same provisioned power. We are seeking a DevOps Engineer to help design, build, and operate Utilidata’s off-device platform that ingests, processes, and serves data flowing from edge AI devices. The role will build and maintain infrastructure across on-premises and cloud environments - bridging edge deployments with cloud-based data processing to support analytics, operations, and ML workloads at scale. This is a hands-on development role with technical leadership responsibilities and with company wide impact. This engineer will architect and maintain the systems that keep our platform running, set technical direction for infrastructure and deployment practices, and mentor engineers. This engineer will partner closely with on device, and ML teams to ensure our off-device platform is resilient, well-instrumented, and ready to scale. This is a remote position based in the United States, working with distributed teams across the country. Responsibilities • Oversee the deployment and management of containerized applications using Kubernetes, ensuring optimal performance and availability, • Contribute to strategic planning regarding how the infrastructure solutions evolve to match the requirements of Data Center partners, • Lead the design, implementation, and maintenance of scalable and reliable systems on AWS and/or on-premise, • Utilize Terraform for infrastructure as code to automate the provisioning and management of cloud resources, • Monitor system performance and uptime, ensuring systems meet established service level objectives (SLOs), • Support SOC2 security compliance requirements for data handling, • Mentor and guide team members in DevOps practices, promoting a culture of reliability and excellence, • Advocate for automation of operational tasks to enhance efficiency and reduce manual intervention, • Collaborate with cross-functional teams to build and maintain CI/CD pipelines, • Troubleshoot and resolve complex production issues, conducting root cause analysis and implementing corrective actions, • Participate in on-call rotations and incident response teams, • Assist in capacity planning, performance tuning, and technical decision-making, • Drive continuous improvement initiatives for processes and infrastructureMinimum Qualifications, • 8+ years of development experience including extensive experience in platform engineering, SRE, or distributed systems, with clear senior or principal-level impact, • Experience designing and operating infrastructure across on-premises and cloud environments, • Strong proficiency in container orchestration, particularly Kubernetes, • Strong proficiency with AWS services and architecture, • Hands-on experience with Terraform for infrastructure automation, • Familiarity with monitoring tools (Prometheus, Grafana, or similar) and observability best practices, • Excellent problem-solving skills, leadership abilities, and attention to detail, • Strong communication and collaboration skills, with experience in driving technical outcomes, • Willingness to travel up to 20% of timeEnhanced Qualifications (Nice to Have), • Bachelor's degree in Computer Science, Engineering, or a related field, • Experience supporting or enabling MLOps platforms, model deployment pipelines, or ML-adjacent infrastructure, • AI Workload scheduling using Kubernetes, • Knowledge of Apache Spark for large-scale data processing, • Knowledge of database technologies (SQL, NoSQL), • Understanding of networking concepts and security best practicesSalary Range: $180,000 to $210,000 base compensation depending on experience and stock options. Salary will be commensurate with an individual's skills, training, years of experience, and in line with internal compensation bands. Location: This position can be performed remotely from anywhere in the United States. Our Commitments: Utilidata values the diversity of our team. We provide equal employment opportunities without regard to race, color, religion, creed, sex, gender, sexual orientation, gender identity or expression, national origin, age, physical disability, mental disability, medical condition, pregnancy or childbirth, sexual orientation, genetics, genetic information, marital status, or status as a covered veteran or any other basis protected by applicable federal, state and local laws. We are committed to: • Creating a diverse and inclusive workplace that is welcoming, supportive, affirming and respectful, • Empowering employees to solve problems and work together to make a difference, • Providing mentorship and growth opportunities as part of a collaborative team, • A flexible work environment with flexible paid time off, • Competitive compensation and benefits, including health, dental, vision, and employer-match 401k

Element 84 is a woman-owned small business that works with public, private, and non-profit sector clients to develop geospatial data processing pipelines & build software that helps answer big questions about our health, our infrastructure, and our changing planet. We solve challenging problems across a wide range of industries, but our super power is cloud-based geospatial data processing, remote sensing, and Earth science systems. Our headquarters is located in Alexandria, VA and we have a satellite office in Philadelphia, PA. Element 84 also supports a large remote workforce from a variety of other states. Element 84's values are: We Invest in Each Other, We are Reliable, and Our Work Benefits our World. Element 84 works on meaningful projects that are challenging—from a technical, people, and team perspective. We make an impact on large projects through our leadership and expertise, both formal and informal. Element 84 values life outside of work. We offer parental leave for everyone and support each other through family challenges like medical problems, adoptions, and new babies. Element 84 has had a flexible work schedule since our founding in 2010. Element 84 is committed to fostering a culture of curiosity and respect for all individuals as we constantly strive to create a work environment where everyone feels welcome and supported. You are curious about the world, are constantly learning, driven to lead (formally or informally), and have a strong work ethic. You're interested in solving impactful problems in science, medicine, and other projects that have a societal good. You can work independently or with a team, prioritize your projects, and be effective without micromanagement. You'll care about writing. Our team is remote and written communication is essential. In addition to caring about a well-crafted email and a succinct conference abstract, you understand that good writing is good design and engineering. As an AI Systems Engineer, you will design and build the multi-agent systems that power NASA's Text-to-Spaceship initiative, an AI pipeline that converts natural language mission requirements into validated spacecraft component designs. You won't just be "calling an API"; you will be architecting and building autonomous agentic workflows that orchestrate heterogeneous AI techniques (LLMs, reinforcement learning, RAG, uncertainty quantification), building integrations with engineering tools (CAD, FEA, CAM), and deploying scalable infrastructure on AWS. Your goal is to turn science objectives into manufacturable hardware designs through reliable, AI-driven automation. As our AI Domain Expert, you will bridge the gap between generative AI and physical reality. You will be responsible for ensuring that our text-to-spaceship pipeline generates physically viable, safe, and manufacturable spacecraft components. You will translate complex physics, NASA standards, and aerospace load cases into programmatic guardrails for our multi-agent systems, ensuring our AI generates structurally sound flight hardware. Physics-Informed AI Constraints: Translate physical constraints (mass, thermal envelopes, radiation shielding, vibro-acoustics) and mechanical properties into prompt contexts, structured outputs, and agent guardrails. Automated CAE & FEA Workflows: Design and implement programmatic workflows for Finite Element Analysis (FEA) and computational fluid dynamics (CFD) that the AI agents can autonomously trigger to validate their own designs. Domain Validation & Ground Truth: Serve as the human-in-the-loop expert to vet AI-generated structural designs, identifying edge cases, hallucinated physics, or impractical geometries, and using those insights to improve the agentic evaluation framework. Multi-Agent Architecture: Design and implement agentic frameworks where a lead orchestrator agent coordinates specialized agents (optical design, structural, harnessing, analysis, reporting) across complex, multi-step engineering workflows. Natural Language to Engineering Output: Build pipelines that convert natural language mission requirements into structured specifications (text → JSON) and implement RAG pipelines for engineering knowledge retrieval. Tool Integration: Connect AI agents to external engineering tools (CAD, FEA, CAM software) via MCP and custom API integrations, enabling agents to drive design, analysis, and manufacturing workflows. Cloud Infrastructure: Deploy and scale AI workloads across cloud providers (AWS, GCP, Azure) using containerized architectures. Apply cloud security best practices for government data. Evaluation & Observability: Build evaluation frameworks for agentic applications — measuring agent performance, design quality, and pipeline reliability across multi-step autonomous workflows. Mechanical & Aerospace Engineering Fundamentals Aerospace or Manufacturing Experience: 2+ years working as a software engineer within the aerospace, defense, space, or similar manufacturing sectors, with a strong understanding of the hardware engineering lifecycle and launch and spaceflight environment. CAD/CAE Automation: Hands-on experience with the scripting APIs of industry-standard engineering tools (e.g., Python APIs for Autodesk Fusion 360, ANSYS, NASTRAN, or SolidWorks). Materials Science: Familiarity with aerospace-grade materials (titanium, aluminum alloys, carbon fiber composites) and how their properties dictate design limits. Engineering Standards: Ability to interpret and programmatically apply GD&T (Geometric Dimensioning and Tolerancing) and NASA/aerospace engineering standards. Cloud & Infrastructure AWS: Experience with AWS services and architecture. Familiarity with other cloud providers (GCP, Azure) is a plus. Software Engineering Language: Real-world experience with Python. Secondary proficiency in TypeScript is a plus. API & Systems Design: Strong grasp of API design, containerization, and connecting heterogeneous tools and data formats into automated pipelines. Infrastructure as Code: Experience with IaC tools and reproducible cloud deployments. AI & Agentic Systems LLM Fundamentals: Deep understanding of how large language models work — context windows, structured output, prompt engineering, and model selection trade-offs. Evaluation: Ability to design and implement evaluation strategies for complex LLM workflows, measuring correctness, reliability, and performance of multi-step autonomous systems. Agentic Patterns: Experience building agents with agentic libraries like Pydantic AI. Tool Integration: Expertise in the Model Context Protocol (MCP) or equivalent approaches for connecting AI agents to external APIs, databases, and domain-specific tools. Experience with ML techniques beyond LLMs (e.g., reinforcement learning, uncertainty quantification, reduced-order models) applied to design optimization or engineering problems. Contributions to open-source AI libraries or a portfolio of deployed LLM applications. Paying attention to who we are as a company–people, family members, friends, and colleagues–is our primary focus at Element 84. There are lots of ways to run a company, and, for us, we prioritize wanting to come to work, being around people we enjoy, taking on big things with people you trust, and sharing our achievements as a team. You’ll get credit when things go right and we’ll have your back when things go wrong. We only take on work that is challenging and right for us. There are projects we will turn down and the team has a say. We may be a small company, but we have big company benefits meant to support the idea that we're here for the long term and happiness comes from much more than where you work. We have an extraordinary retention rate because we hire extraordinary people. We hope that’s you. Estimated Range: The salary for this position is estimated to be $156,500 – $189,000. The final salary offer will be dependent on the candidate's specific experience level, technical proficiency, and alignment with the requirements of the role. Candidates may be below the range to begin and enter into the range after strong performance is demonstrated. This is a full time, salaried position. Please submit your information, resume and cover letter if you are interested. Remote candidates are encouraged, but your home office must be less than 100 miles from either Element 84’s Alexandria, VA or Philadelphia, PA hub. Benefits Offered Competitive medical, dental and vision benefits Life Insurance, Short & Long Term disability insurance Voluntary Accident, Critical Illness & Hospital Insurance 401(k) and Roth 401(k) retirement plans with a fixed 3% of salary employer contributions (paid regardless of employee participation) Health savings account with a company contribution Flexible spending accounts (medical, dependent care and transportation) Company-paid parental leave after one year of employment Flexible work schedules Paid employee assistance program 6 paid floating holidays 4 weeks + 1 day paid Vacation Time Off per calendar year (prorated first year) 40 hours paid Sick Leave Cell phone stipend Element 84 is an equal opportunity employer.

The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. Overview We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us. What You’ll Do • Be scrappy to find new sources of audio data and bring it into our ingestion pipeline, • Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform., • Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models., • Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team’s dataset roadmap to power Speechify’s next-generation consumer and enterprise products. An Ideal Candidate Should Have • BS/MS/PhD in Computer Science or a related field., • 5+ years of industry experience in software development., • Proficiency with bash/Python scripting in Linux environments, • Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP), • Experience with web crawlers, large-scale data processing workflows is a plus, • Ability to handle multiple tasks and adapt to changing priorities., • Strong communication skills, both written and verbal. What we offer • A fast-growing environment where you can help shape the company and product., • An entrepreneurial-minded team that supports risk, intuition, and hustle., • A hands-off management approach so you can focus and do your best work., • An opportunity to make a big impact in a transformative industry., • Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture., • Opportunity to work on a life-changing product that millions of people use., • Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more., • Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio. Compensation: The United States base salary range for this full-time position is $140,000-$200,000 + bonus + equity depending on experience Think you’re a good fit for this job? Tell us more about yourself and why you're interested in the role when you apply. And don’t forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit? Refer them! Speechify is committed to a diverse and inclusive workplace. Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

_ is looking to hire exceptional talent to join our teams in building the open source security infrastructure stack for the AI era. We're building a generational company with a world-class team. This isn’t a place to coast — but if you want to grow fast, take ownership, and solve tough problems, you’ll be challenged like nowhere else. What We’re Looking For We’re looking for a talented GTM Engineer who will be responsible for building and running the operational backbone of Infisical's GTM organization. Reporting to the Head of GTM and partnering closely with marketing, you'll own the systems, data flows, and enablement programs that let our sales, marketing, and post-sales teams scale efficiently and sell effectively. This role bridges two disciplines: the analytical rigor of revenue operations (top-of-funnel analytics, data enrichment, pipeline progression, forecasting, and territory planning) and the programmatic craft of enablement (onboarding, playbooks, content, and ongoing skill-building for a rapidly growing team of Account Executives and Solutions Engineers). You’ll work closely with the Head of GTM, and Marketing to: Administer and integrate the full GTM tech stack (HubSpot, Salesforce, Gong, Clay, etc.), design end-to-end process workflows and data flows, and lead tooling decisions — including gap identification, vendor evaluation, and implementation. Build dashboards and establish the analytical foundation connecting marketing metrics through pipeline, conversion, and revenue outcomes to give leadership real-time visibility into funnel health and forecast accuracy. Consult on forecasting, territory design, quota setting, and segmentation to support rapid go-to-market expansion. Design and execute onboarding, skill development, and certification programs, operationalizing sales methodology (MEDDPIC, Command of the Message) through training, call reviews, and coaching frameworks. Partner with SMEs across sales, marketing, operations, and engineering to produce sales-ready content (battlecards, objection handlers, competitive briefs) and maintain a single source of truth for GTM playbooks, leveraging Gong to surface coaching moments and winning patterns. Requirements 5+ years in GTM/revenue/sales operations or enablement at a B2B SaaS company, with time at an early- or growth-stage startup. Hands-on administration of a modern GTM stack including HubSpot, Salesforce, and conversation intelligence tools (Gong or equivalent). Proven ability to build dashboards, forecasting cadence, and analytical frameworks from scratch, including funnel data, cohort analysis, and quota/capacity modeling. Experience designing and delivering enablement programs that measurably improve rep ramp time, productivity, or win rates. Excellent written communication, ability to translate complex concepts into clear sales-ready content, and high ownership with comfort operating in ambiguity without an existing playbook. Currently living in the United States or Canada. Bonus Experience selling to or enabling sellers for developer, DevOps, security, or infrastructure buyers. Familiarity with tools such as Apollo, Clay, Commonroom, Chili Piper, Outreach/Salesloft, Unify, or similar. Exposure to product-led growth motions alongside enterprise outbound GTM. Background working within open-source or open-core commercial business models. How You’ll Grow This is a rare opportunity to take on one of the most important emerging roles in modern go-to-market: the GTM Engineer. As the first dedicated GTM engineering hire at a venture-backed infrastructure company with strong product-market fit, a world-class engineering team, and an expanding enterprise footprint, you'll have the chance to rethink traditional revenue operations and sales enablement from first principles, with zero assumptions, modern tools, modern process, and the creativity to build something genuinely new. You'll work directly with the Head of GTM, the CEO, and senior technical leadership to design and build the modern GTM tool stack. You'll have creative liberty and influence over every tooling and process decision. The systems, processes, and programs you build will power Infisical's growth from our current stage to the next order of magnitude, and your work will be visible and material to every revenue outcome we produce. For the right person, this is also a chance to help define what GTM engineering looks like as a discipline, both inside Infisical and in the broader market. Team, Values & Benefits Our team brings experience from companies like Cloudflare, Datadog, Figma, AWS, and Red Hat. We operate primarily as a remote team but maintain a strong presence in San Francisco, where we have an office. We also get together in person throughout the year for off-sites, conferences, and team gatherings. At Infisical, we offer competitive compensation, including both salary and equity options. Additional benefits, such as a lunch stipend and a work setup budget, are available with more details to be found on our _. About Us Infisical is the open source security infrastructure platform that engineers use for secrets, certificates, and privileged access management. We help developers and organizations securely manage over 1.5 billion secrets each month including application configuration, database credentials, certificates, and more. We’ve raised $19M from Y Combinator, Google, and Elad Gil, and our customers include Hugging Face, Lucid, and LG. Join us on a mission to make security easier for all developers — starting with secrets management.

Rockstar is recruiting for a fast-growing SaaS company that empowers creators, coaches, and online experts to build thriving online communities. Our client offers a plug-and-play platform that enables users to manage discussions, courses, payments, events, documents, workflows, matchmaking, directories, and more—all on their own websites. The team is passionate about giving people the power to own and shape the way they engage with others online. The client is a plug-and-play online community builder. Think “Shopify for online communities”. The company is building a world where people have the power to own & shape the way they engage with others online. The platform allows creators, coaches, & online experts to build a thriving community business — with discussions, courses, payments, events, documents, workflows, matchmaking, directories & more — all on their own website. Why this job is special… • The successful candidate will be one of the first engineers to join the company—but will be joining a product & codebase that works. The company has hundreds of customers processing thousands of dollars every month. This role offers all the leverage and autonomy of being an early engineer without the burden of building everything from scratch., • The team consists of individuals who know their craft. Everyone is exceptionally skilled and brings deep experience from their previous roles., • Typescript is taken seriously. If a candidate is passionate about pragmatically applying type systems & functional patterns, this is the place for them., • AI agents are here & the company is ready to use them as a force-multiplier. Significant time has been spent building incredibly expressive & flexible application building blocks. AI will allow the team to double down on these through MCP and agentic configuration, providing the magic of tools like Replit & Lovable without the brittleness. What the role entails… • Working closely with the team to scope & prioritize new features, • Writing modular, maintainable, thoughtful code, • Creating rails to enable AI coding agents to robustly make changes & develop new features, • Monitoring the production environment and working with users to identify & resolve bugs Remote restrictions Workday must overlap by at least 5 hours with New York, NY, USA This role will be enjoyable for those who… • Appreciate working with Typescript, type systems & functional patterns, • Enjoy writing high-quality code within the constraints of a rapidly changing product, • Want to have a strong influence on the direction of the product, • Thrive working in an autonomous environment, • Like creating new abstractions (responsibly!), • Are not afraid to dive into unfamiliar technologies & platforms Some problems the team has worked on… • Improving the type safety of the codebase, • Efficiently matching community members via max weight matching & linear programming, • Abstracting the mobile app to allow for custom white-labeling Potential projects for this role… • Building the first version of the MCP server, • Reworking frontend infrastructure to enable communities to create SEO-indexable content, • Building a new community-centric voice & video call experience, • Optimizing API server infrastructure and database queries to accommodate usage growth, • Establishing an app ecosystem to allow external developers to build custom apps within the platform, • And much more! What the company is looking for… • A strong background working with Typescript or similar typed languages, • Experience with React or similar frontend component frameworks, • Experience scaling backend infrastructure & identifying performance bottlenecks, • Strong opinions about what well designed products feel like, • Intuition for balancing long-term engineering best practices and iterating quickly, • Empathy for users and the desire to carefully craft delightful user experiences, • A love for building & experimenting with products Bonus points for candidates who… • Have founded a company before, • Have experience with profiling & monitoring NodeJS in production, • Have experience building realtime applications Our Stack The company loves Typescript! The entire stack is type-safe from the initial database call to the last React prop. Developer experience is a priority, and the team is not afraid to spend time improving internal tooling if it will allow for faster and/or better shipping.

The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. Overview We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us. What You’ll Do • Be scrappy to find new sources of audio data and bring it into our ingestion pipeline, • Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform., • Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models., • Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team’s dataset roadmap to power Speechify’s next-generation consumer and enterprise products. An Ideal Candidate Should Have • BS/MS/PhD in Computer Science or a related field., • 5+ years of industry experience in software development., • Proficiency with bash/Python scripting in Linux environments, • Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP), • Experience with web crawlers, large-scale data processing workflows is a plus, • Ability to handle multiple tasks and adapt to changing priorities., • Strong communication skills, both written and verbal. What we offer • A fast-growing environment where you can help shape the company and product., • An entrepreneurial-minded team that supports risk, intuition, and hustle., • A hands-off management approach so you can focus and do your best work., • An opportunity to make a big impact in a transformative industry., • Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture., • Opportunity to work on a life-changing product that millions of people use., • Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more., • Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio. Compensation: The United States base salary range for this full-time position is $140,000-$200,000 + bonus + equity depending on experience Think you’re a good fit for this job? Tell us more about yourself and why you're interested in the role when you apply. And don’t forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit? Refer them! Speechify is committed to a diverse and inclusive workplace. Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Millions of people across the country are navigating mental health conditions, substance use disorders, and eating disorders, but too often, they’re met with barriers to care. From limited local options and long wait times to treatment that lacks personalization, behavioral healthcare can leave people feeling unseen and unsupported. Charlie Health exists to change that. Our mission is to connect the world to life-saving behavioral health treatment. We deliver personalized, virtual care rooted in connection—between clients and clinicians, care teams, loved ones, and the communities that support them. By focusing on people with complex needs, we’re expanding access to meaningful care and driving better outcomes from the comfort of home. As a rapidly growing organization, we're reaching more communities every day and building a team that’s redefining what behavioral health treatment can look like. If you're ready to use your skills to drive lasting change and help more people access the care they deserve, we’d love to meet you. About the Role As a Senior Platform Engineer on the Data Platform team, you will be responsible for designing, implementing, and maintaining the data models, data access patterns, contracts, database infrastructure, and instrumentation that power our transactional systems. You will be at the intersection of every major engineering initiative, working across Product Engineering, Analytics, ML, and Platform to set the bar for data quality, consistency, usability, scalability, and security. You will ensure great data starts at the moment a feature is built, not as a cleanup task afterward. You'll also own one of the team's most impactful initiatives: designing and migrating to modern data models that reflect how our business works at scale. We’re a team of passionate, forward-thinking professionals eager to take on the challenge of the mental health crisis and play a formative role in providing life-saving solutions. If you’re inspired by our mission and energized by the opportunity to increase access to mental healthcare and profoundly impact millions of lives, apply today. Responsibilities • Define, implement, and evolve data models and schemas in Postgres to support product and analytical use cases., • Develop and maintain our data access standards and patterns in our core backend systems with Python and Typescript., • Lead the definition, design, and phased migration to improved data models for core business concepts., • Work alongside product engineering teams to deliver features with correct and well-modeled data at the source., • Measure and improve data quality, correctness, stability, and usability improvements across our transactional systems., • Provide options around key initiatives and break down work into visible and achievable milestones, delivering incremental value., • Mentor and train other engineers throughout the organization and seek to continually improve our architecture and data modeling standards and engineering processes., • Improve data usability, trust, and developer productivity by building shared tooling, patterns, and documentation that make it easy for teams to produce and consume high-quality data., • Maintain and improve our transactional database infrastructure running in AWS., • Review SQL and data access code for our production systems., • Partner with engineers across the organization to ensure database migrations are executed correctly and safely., • Profile, analyze, and tune slow or inefficient queries in Postgres., • Leverage AI-powered tooling to enhance the software development lifecycle., • Drive security, reliability, scalability, observability, and cost-efficiency improvements across our deployed services., • Hands-on experience participating in an on-call rotation, responding to and resolving critical infrastructure and application issues promptly., • We currently work in Scrumban-style 2-week sprints. Our teams work hybrid (required if in NY) and remotely across time zones, but are available during core meeting hours (12PM to 5PM EST). Requirements • 4+ years of experience in a role focused on Backend or Data Platform Engineering., • 3+ years of experience writing production-level SQL and backend code., • Recent expertise with Python as a primary programming language., • Experience with data modeling concepts and best practices (e.g., dimensional modeling, data vault, or similar)., • Experience with observability, monitoring, and logging tools such as Datadog and Cloudwatch., • Proven track record of breaking down large problems and delivering incremental value to meet deadlines while providing options for long-term improvements., • Ability to troubleshoot complex distributed systems., • Familiarity with AI-enabled developer productivity tooling., • Strong communication and problem-solving skills, and the ability to work in a fast-paced startup environment., • Hands-on experience participating in an on-call rotation, responding to and resolving critical infrastructure and application issues promptly., • Please note that team members who live within 45 minutes of a Charlie Health office are expected to follow a hybrid work schedule. Nice-to-Haves • Proficiency with programming languages like Typescript or Golang., • Experience with large data migrations on production systems., • Expertise with AWS services like Aurora, S3, SQS, ECS Fargate, and Lambda., • Proficiency with Snowflake as a cloud data warehouse., • Experience with Data Engineering tools like DBT, Dagster, Fivetran, and Hightouch., • Familiarity with event-driven data architectures and stream processing (e.g., Eventbridge, Kafka, or similar). Charlie Health is pleased to offer comprehensive benefits to all full-time, exempt employees. Read more about our benefits _. The total target base compensation for this role will be between $150,000 and $220,000 per year at the commencement of employment. Please note, pay will be determined on an individualized basis and will be impacted by location, experience, expertise, internal pay equity, and other relevant business considerations. Further, cash compensation is only part of the total compensation package, which, depending on the position, may include stock options and other Charlie Health-sponsored benefits. • Connection: Care deeply & inspire hope., • Congruence: Stay curious & heed the evidence., • Commitment: Act with urgency & don’t give up. Please do not call our public clinical admissions line in regard to this or any other job posting. Please be cautious of potential recruitment fraud. If you are interested in exploring opportunities at Charlie Health, please go directly to our Careers Page: https://www.charliehealth.com/careers/current-openings. Charlie Health will never ask you to pay a fee or download software as part of the interview process with our company. In addition, Charlie Health will not ask for your personal banking information until you have signed an offer of employment and completed onboarding paperwork that is provided by our People Operations team. All communications with Charlie Health Talent and People Operations professionals will only be sent from @charliehealth.com email addresses. Legitimate emails will never originate from gmail.com, yahoo.com, or other commercial email services. Recruiting agencies, please do not submit unsolicited referrals for this or any open role. We have a roster of agencies with whom we partner, and we will not pay any fee associated with unsolicited referrals. At Charlie Health, we value being an Equal Opportunity Employer. We strive to cultivate an environment where individuals can be their authentic selves. Being an Equal Opportunity Employer means every member of our team feels as though they are supported and belong. We value diverse perspectives to help us provide essential mental health and substance use disorder treatments to all young people. Charlie Health applicants are assessed solely on their qualifications for the role, without regard to disability or need for accommodation. By clicking "Submit application" below, you agree to Charlie Health's and _ By submitting your application, you agree to receive SMS messages from Charlie Health regarding your application. Message and data rates may apply. Message frequency varies. You can reply STOP to opt out at any time. For help, reply HELP.

We are looking for a hands-on Lead CloudOps Engineer to oversee the reliability, scalability, automation, and day-to-day operations of our GCP-based cloud platform. You will drive infrastructure automation, improve developer workflows, enhance observability, and ensure secure, stable platform operations. While GCP is the primary environment, the role includes operational responsibility for an existing AWS enterprise environment, requiring the ability to troubleshoot issues, maintain existing systems, and support partner teams without owning major AWS architectural redesigns. This position is ideal for someone who thrives in cloud-native environments, enjoys automation, and balances engineering rigor with operational excellence. This is a founding member of the CloudOps team in the US and has a potential to grow into future leadership and management positions. • Lead day-to-day monitoring and management of GCP infrastructure, focusing on reliability, uptime, security, performance, and compliance, • Manage GKE clusters, including cluster lifecycle, node pools, workload deployment, and operational best practices., • Implement and maintain GCP networking: VPCs, firewall rules, service networking, and private connectivity., • Support data and application teams using GCP services such as BigQuery, Cloud SQL, Pub/Sub, Cloud Storage, Cloud Run., • Own and maintain Terraform configurations for GCP and AWS using reusable modules, remote state, policy checks, and automation pipelines., • Automate environment provisioning, scaling, and configuration with CI/CD tools such as Cloud Build, GitHub Actions, ArgoCD, or Jenkins., • Build tooling and workflows that improve developer productivity (automated builds, deployments, secrets management, ephemeral environments)., • Build and enhance observability stacks using Cloud Monitoring, Prometheus/Grafana, ELK/Elastic, or OpenTelemetry., • Lead incident response, troubleshooting, RCA generation, and post-incident improvement efforts., • Define and manage SLOs, error budgets, and operational runbooks., • Ensure secure configurations across cloud services, Kubernetes workloads, secrets storage, and network boundaries., • Implement guardrails and compliance automation using IAM best practices, GCP Organization Policies, and Terraform checks., • Work with security and compliance teams to meet HIPAA, HITRUST, SOC 2, or internal audit requirements., • Maintain stability of a pre-existing AWS environment by performing tasks such as:, • Reviewing IAM roles and security posture, • Supporting workloads on EC2, ECS, EKS, RDS, S3, • Troubleshooting infrastructure or networking issues, • Managing configurations, upgrades, and patching, • Assist teams that rely on AWS-hosted systems and ensure smooth integration with GCP-centric operations., • Make small-to-medium improvements or automation updates for AWS infrastructure using Terraform or CI/CD workflows., • Mentor DevOps, CloudOps, and Platform Engineers through pair programming, reviews, and best-practice sharing., • Partner with development, data, and security teams to build highly reliable, cloud-native applications and pipelines., • Establish operational standards, documentation, and playbooks for cloud operations., • 8+ years of DevOps, CloudOps, or platform engineering experience., • Deep hands-on experience with GCP, including:, • GKE, workload identity, cluster networking, • VPC design, firewalls, load balancers, • BigQuery, Pub/Sub, Cloud SQL, Cloud Storage, • Cloud Run, Cloud Functions, • IAM, KMS, Secret Manager, • Strong expertise with Terraform, including modules, workspaces, and governance patterns., • Strong CI/CD experience with Git-based workflows and pipeline automation., • Solid understanding of Linux, networking basics, containerization, and distributed systems., • Experience supporting production workloads in a regulated environment (HIPAA, HITRUST, SOC 2 or similar)., • Practical experience supporting AWS operations (not architecture-heavy), including:, • EC2, EKS, and ALB/NLB, • S3, RDS, CloudWatch, • IAM troubleshooting, • Network troubleshooting (VPC, Security Groups, Route 53), • Comfortable maintaining and improving existing AWS infrastructure., • Experience with GitOps tools (ArgoCD, Flux)., • Familiarity with service mesh (Istio, Anthos) or advanced networking., • Experience with policy-as-code (OPA/Gatekeeper or Sentinel)., • Background with FinOps/cost optimization., • Experience building internal developer platforms or platform engineering teams., • Must be a US Citizen, Green Card holder, or currently in the US have valid H1B visa Why Join Us? 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.

Note: The role is strictly for candidates within the United States. We are seeking a highly skilled and passionate Software Engineer to join our talented team at Orvix Engineering. In this role, you will be responsible for designing, developing, testing, and maintaining software solutions that power our engineering processes and solutions. You will work on cutting-edge projects, collaborating with cross-functional teams of engineers and stakeholders to create high-performance, scalable, and reliable systems that support our diverse engineering initiatives. As a Software Engineer at Orvix Engineering, you will be at the forefront of technological advancements, solving complex engineering problems with innovative software solutions. The ideal candidate will have strong problem-solving skills, proficiency in multiple programming languages, and the ability to work effectively within an agile development environment. • Design, develop, and maintain high-quality software solutions to meet the needs of engineering teams, clients, and other stakeholders., • Collaborate with engineering and project teams to understand technical requirements and create software solutions that align with project goals., • Write clean, maintainable, and efficient code using modern software development practices., • Develop software across the full stack (front-end, back-end, and databases) when necessary, ensuring seamless integration and functionality., • Ensure that software meets performance, security, and scalability requirements to support complex engineering workflows. 1. Software Testing & Quality Assurance • Participate in testing and debugging software to ensure functionality and resolve issues efficiently., • Write and execute unit tests, integration tests, and end-to-end tests to ensure software quality and reliability., • Work with QA engineers to identify areas for improvement and ensure that all software meets the highest standards of quality before release., • Continuously evaluate software performance, identify bottlenecks, and optimize code for better efficiency and scalability. 1. Collaboration & Cross-Functional Teamwork • Work closely with other engineers, project managers, designers, and stakeholders to ensure software solutions align with project objectives and timelines., • Collaborate with product managers and business analysts to understand user requirements and translate them into technical specifications., • Participate in agile development cycles, including sprint planning, daily stand-ups, and sprint retrospectives., • Provide technical guidance and mentorship to junior engineers, fostering a collaborative and supportive team environment., • Contribute to code reviews, ensuring adherence to coding standards, best practices, and high-quality software development principles. 1. Innovation & Problem Solving • Solve complex engineering problems by developing innovative software solutions that drive improvements in operational efficiency, data processing, and system integration., • Continuously explore emerging technologies and best practices in software engineering, and apply them to current projects where applicable., • Investigate new tools, libraries, and frameworks to improve software functionality and development workflows., • Collaborate with engineering teams to identify areas of improvement in existing software systems and propose solutions for enhancing their performance and capabilities. 1. Documentation & Reporting • Write and maintain clear and comprehensive technical documentation for software systems, ensuring that all code is well-documented and accessible to other team members., • Document software designs, architectural decisions, and workflows to facilitate knowledge sharing and ensure future maintainability., • Provide regular progress reports to engineering managers and team leads, ensuring transparent communication regarding project status, risks, and challenges. 1. Continuous Improvement & Professional Development • Continuously improve your technical skills and knowledge through professional development opportunities, training, and certifications., • Stay up-to-date with the latest developments in software engineering practices, programming languages, and emerging technologies., • Participate in knowledge-sharing activities, such as team discussions, tech talks, and coding challenges, to foster a culture of learning within the team. Required Skills & Qualifications: • Bachelor's degree in Computer Science, Software Engineering, or a related field., • 1+ years of experience in software development, with a strong portfolio of successful projects., • Proficiency in programming languages such as Java, Python, C#, JavaScript, or similar (with experience in both front-end and back-end technologies preferred)., • Experience with web frameworks and libraries (e.g., React, Angular, Django, Flask, .NET, Node.js)., • Strong understanding of databases (SQL and NoSQL), and experience with data modeling, queries, and performance optimization., • Knowledge of software development methodologies, including Agile and Scrum., • Familiarity with version control tools, such as Git., • Strong problem-solving abilities, with an analytical mindset and attention to detail., • Excellent communication skills, both written and verbal, with the ability to work effectively with cross-functional teams. Preferred Skills & Qualifications: • Experience with cloud platforms (AWS, Azure, Google Cloud) and containerization (Docker, Kubernetes)., • Familiarity with microservices architecture and distributed systems., • Knowledge of continuous integration/continuous deployment (CI/CD) pipelines., • Experience with testing frameworks and automated testing tools (e.g., JUnit, Selenium, pytest)., • Familiarity with DevOps practices and tools., • Knowledge of software security best practices and experience implementing secure software solutions., • Experience in developing engineering tools or software used in technical environments (e.g., CAD software, simulation tools, data analysis tools). Job Types: Full-time Pay: $40.00 - $57.00 per hour Experience: 1 year (Preferred) Expected hours: 40 per week Work Location: Remote Schedule: • Monday to Friday Benefits: • 401(k) matching, • Dental insurance, • Health insurance, • Life insurance, • Paid time off (PTO), • 401(k) matching, • Dental insurance, • Health insurance, • Life insurance, • Paid time off (PTO)

DevIQ specializes in building modern cloud and data solutions – and we believe in the power of software and technology to improve lives. Join us to partner with passionate mid-market companies focused on reducing energy costs, curing disease, improving education, building smart cities, and more. From true innovation and synergetic cloud & technology partnerships to competitive full-time benefits and a strong team culture, DevIQ is a great place to work. At DevIQ, you’ll: • Build your career with a supportive, inclusive team that appreciates people, creates value, embraces growth, and “owns the problem” as a team., • Enjoy opportunities to learn, exposure to new industries, and building end-to-end solutions through meaningful work on active client projects., • Work remotely and/or from our modern studio in downtown Denver., • Bring your unique perspective and experience to multi-disciplinary teams., • Collaborate on and contribute to transformative digital experiences that touch millions of lives, watching your work make an impact. Please note that you must be a U.S. citizen or eligible to work in the U.S. to be considered for this role, and third-party candidates will not be accepted. We’re looking for a hands-on Senior AI/Machine Learning Engineer to design, build, and deploy AI and machine learning solutions that solve real business problems for our clients. This is a consulting role that blends hands-on engineering, applied AI/ML expertise, and client-facing advisory work. You’ll partner directly with client stakeholders to understand their goals, translate ambiguous problems into well-scoped solutions, and see your work through from prototype to production. Success in this role depends as much on communication, empathy, and professionalism as it does on technical depth. Key Responsibilities: • Own ML solutions end to end — framing the business problem, exploring data, training and evaluating models, and iterating based on rigorous error analysis — through to production deployment and monitoring, • Apply generative AI and LLMs where they fit the problem, selecting appropriate techniques and adapting as the field evolves, • Establish MLOps best practices: CI/CD for models, experiment tracking, model and drift monitoring, and responsible-AI practices, • Translate ambiguous business problems into well-scoped solutions, setting clear expectations on feasibility, timelines, and trade-offs, • Serve as a trusted technical advisor — presenting demos and recommendations, and explaining models, their limitations, and uncertainty clearly to audiences from engineers to executives, • Mentor teammates and collaborate across multi-disciplinary teams of engineers, data scientists, and designers, • Adapt quickly to new industries, tools, and client environments while staying current with the evolving AI landscape, • Operate as a flexible consulting engineer within DevIQ’s delivery model, contributing beyond AI/ML when project needs and team availability require it, including adjacent work such as discovery, data exploration, data engineering, application development, DevOps, solution documentation, technical analysis, internal tooling, or other client-supporting utility tasks. Required: Machine learning depth • 4+ years building, training, and deploying ML models in production — owning the modeling work, not just integrating model APIs., • Strong modeling fundamentals: framing a problem as a learning task, feature engineering, model selection, and reasoning about bias/variance, regularization, and overfitting., • Rigorous evaluation discipline: sound train/val/test methodology, avoiding data leakage, choosing metrics that fit the business goal, and error analysis to diagnose why a model underperforms., • Deep learning fundamentals — architectures, loss functions, training dynamics — enough to build and debug models in PyTorch or TensorFlow, not just call them., • Solid math/stats foundation (linear algebra, probability, statistics) and the judgment to know when ML is the right tool versus a simpler approach. Applied AI and engineering: • Hands-on LLM/generative-AI delivery — RAG, embeddings, fine-tuning, and major model APIs (e.g., Anthropic, OpenAI, Bedrock) — with judgment to choose between prompting, retrieval, and fine-tuning., • Strong Python and the modern ML stack (PyTorch or TensorFlow, scikit-learn), plus solid SQL., • Experience deploying and monitoring ML workloads on at least one major cloud (AWS, Azure, or GCP), including versioning, drift monitoring, and retraining. Consulting and communication: • Client-facing or consulting experience, able to explain technical trade-offs — including model limitations and uncertainty — to non-technical stakeholders, • Self-directed and comfortable with ambiguity across multiple engagements, • Willingness and ability to work beyond a narrowly defined AI/ML role, contributing to adjacent engineering, data, discovery, DevOps, consulting, and utility activities as needed in a project-based consulting environment. Preferred: • Experience with Databricks, lakehouse architectures, or large-scale data engineering workflows, • Experience supporting pre-sales efforts (solution design, scoping, and estimating), • Depth in one or more ML domains — e.g., NLP, computer vision, time-series forecasting, or recommender systems, • Research or open-source signal in ML — publications, patents, notable contributions, or competition results, • Bachelor's or Master's degree in Computer Science, Machine Learning, or equivalent practical experience Est. Salary Range (Colorado Only): $140,000-$170,000* *Disclaimer: In accordance with Colorado’s Equal Pay for Equal Work Act, effective January 1, 2021, a good faith hourly or base salary range must be posted for all positions where the work may be performed in the state of Colorado. Therefore, this good faith salary range will only apply where this described position will be performed in the state, and should not be considered the compensation range in other locations or for other positions. DevIQ Benefits Include: • Competitive financial compensation and utilization bonus plans, • Medical, Dental, Vision Insurance, • 401k, With 4% Matching, • Paid Time Off, • Health Savings Account (HSA)/Flexible Spending Account (FSA), • Short-Term/Long-Term Disability Insurance, • Business funded Life Insurance Plan, • Dynamic yet relaxed work atmosphere, • Wide Variety of Growth Opportunities

At NerdWallet, we’re on a mission to bring clarity to all of life’s financial decisions and every great mission needs a team of exceptional Nerds. We’ve built an inclusive, flexible, and candid culture where you’re empowered to grow, take smart risks, and be unapologetically yourself (cape optional). Whether remote or in-office, we support how you thrive best. We invest in your well-being, development, and ability to make an impact because when one Nerd levels up, we all do. The Consumer Banking & Credit Cards team(s) are responsible for owning web shopping experiences across two of NerdWallet's largest and most mission-critical verticals. Our mission is to create best-in-class, data-driven shopping experiences that help millions of users make smarter financial decisions. We build fast, intuitive, and highly optimized experiences that rank, perform, and scale, all while collaborating with business stakeholders, Paid Marketers and SEO strategists to drive measurable business impact. We use data to drive our decision making, running fast product-led experiments that deliver real business value, as well as contribute directly to the company’s strategic roadmap. If you thrive on high-impact work, solving technical challenges, and shaping the future of financial shopping experiences on the web, this is the place for you. We're looking for a Staff Software Engineer who is both a technical leader and hands-on builder, someone who can drive technical excellence across the entire stack while collaborating with stakeholders to shape the future of our product offerings. This is a true full-stack role, ideal for a pacesetter who leads by doing. You ship high-quality code, set the technical direction, and raise the bar for everyone around you. You're equally comfortable building performant web experiences, designing scalable back-end systems, and collaborating on systems that power personalization and data-driven decision-making at scale. You embrace AI tools and modern engineering practices to move fast without sacrificing quality, and you bring that mindset to everything from Core Web Vitals (CWV) and technical SEO to back-end APIs and funnel experiences. You'll collaborate closely with engineering leadership to influence the engineering roadmap, contribute to best practices, and drive architectural projects that balance speed, scalability, and long-term maintainability. You'll mentor engineers and foster a culture of technical excellence, ensuring both high-quality execution and fast iteration across the team. Shape the future of some of NerdWallet's highest-traffic web shopping experiences by improving performance, SEO, and user engagement. Partner with product, SEO, and paid marketing teams to run experiments, measure impact, and iterate quickly. Take input from and partner directly with engineering leadership to drive technical initiatives that enhance performance, observability, scalability, security, and developer experience. Contribute to platform stability and resilience through effective monitoring, troubleshooting, and incident management. Ensure high standards of technical excellence, maintaining a high-quality codebase and driving modernization efforts including AI tooling adoption. Mentor and provide technical guidance to engineering team members, promoting best practices in coding, testing, and architecture. Conduct code reviews to ensure code quality, performance, and adherence to standards, fostering a culture of continuous improvement within the engineering team. We recognize not everyone will meet all of the criteria. If you meet most of the criteria below and you're excited about the opportunity and willing to learn, we'd love to hear from you. 8+ years in software engineering with a strong background in full-stack development and distributed systems. Expertise in TypeScript, React and Node.js, with experience in additional modern languages. Strong experience with modern front-end frameworks such as Next.js and React.js, with an understanding of web performance, Core Web Vitals, and technical SEO. Experience architecting and building back-end APIs and microservices, with a focus on scalability, performance, and data integrity. Strong understanding of database systems (both SQL and NoSQL), with experience in high-volume data processing. Experience with cloud infrastructure (AWS, GCP, or Azure), CI/CD pipelines, containerization, and orchestration technologies like Docker and Kubernetes. Knowledge of security and compliance best practices, particularly in financial services. Experience in observability and running production applications at scale. Preferred Qualifications: Bachelor's or Master's degree in Computer Science, Engineering, or a related field (or equivalent practical experience). Experience with integrating Machine Learning systems, personalization pipelines, and data-driven experimentation. Domain knowledge in finance and shopping marketplaces. Understanding of accessibility best practices and a keen eye for usability and user experience. Familiarity with paid and organic search strategies and how engineering decisions impact business outcomes. This role will be remote (based in the U.S.). We believe great work can be done anywhere. No matter where you are based, NerdWallet offers benefits and perks to support the physical, financial, and emotional well being of you and your family. Work Hard, Stay Balanced (Life’s a series of balancing acts, eh?) Industry-leading medical, dental, and vision health care plans for employees and their dependents Rejuvenation Policy – Flexible Vacation Time Off + 11 holidays + holiday company shutdown New Parent Leave for employees with a newborn child or a child placed with them for adoption or foster care Mental health support Paid sabbatical after 5 years for Nerds to recharge, gain knowledge, and pursue their interests Health and Dependent Care FSA and HSA Plan with monthly NerdWallet contribution Monthly Wellness Stipend, Cell Phone Stipend, and Wifi Stipend (Only remote Nerds are eligible for the Wifi Stipend) Work from home equipment stipend and co-working space subsidy (Only remote Nerds are eligible for these stipends) Have Some Fun! (Nerds are fun, too) Nerd-led group initiatives – Employee Resource Groups for Parents, Diversity, and Inclusion, Women, LGBTQIA, and other communities Hackathons and team events across all teams and departments Company-wide events like NerdLove (employee appreciation) and our annual Charity Auction Our Nerds love to make an impact by paying it forward – Take 8 hours of volunteer time off per quarter and donate to your favorite causes with a company match Plan for your future (And when you retire on your island, remember the little people) 401K with 4% company match Be the first to test and benefit from our new financial products and tools Financial wellness, guidance, and unlimited access to a Certified Financial Planner (CFP) through Northstar Disability and Life Insurance with employer-paid premiums If you are based in California, we encourage you to read this important information for California residents linked_. NerdWallet is committed to pursuing and hiring a diverse workforce and is proud to be an equal opportunity employer. We prohibit discrimination and harassment on the basis of any characteristic protected by applicable federal, state, or local law, so all qualified applicants will receive consideration for employment. NerdWallet will consider qualified applicants with a criminal history pursuant to the California Fair Chance Act and the San Francisco Fair Chance Act, which requires this, as well as the Los Angeles Fair Chance Act, which requires this. NerdWallet participates in the Department of Homeland Security U.S. Citizenship and Immigration Services E-Verify program for all US locations. For more information, please see: E-Verify Participation Poster_) Right to Work Poster / #LI-Remote

The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. Overview We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us. What You’ll Do • Be scrappy to find new sources of audio data and bring it into our ingestion pipeline, • Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform., • Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models., • Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team’s dataset roadmap to power Speechify’s next-generation consumer and enterprise products. An Ideal Candidate Should Have • BS/MS/PhD in Computer Science or a related field., • 5+ years of industry experience in software development., • Proficiency with bash/Python scripting in Linux environments, • Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP), • Experience with web crawlers, large-scale data processing workflows is a plus, • Ability to handle multiple tasks and adapt to changing priorities., • Strong communication skills, both written and verbal. What we offer • A fast-growing environment where you can help shape the company and product., • An entrepreneurial-minded team that supports risk, intuition, and hustle., • A hands-off management approach so you can focus and do your best work., • An opportunity to make a big impact in a transformative industry., • Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture., • Opportunity to work on a life-changing product that millions of people use., • Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more., • Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio. Compensation: The United States base salary range for this full-time position is $140,000-$200,000 + bonus + equity depending on experience Think you’re a good fit for this job? Tell us more about yourself and why you're interested in the role when you apply. And don’t forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit? Refer them! Speechify is committed to a diverse and inclusive workplace. Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

ngrok is an all-in-one cloud networking platform that secures, transforms, and routes traffic to services running anywhere. Instead of cobbling together nginx, NLBs, VPNs, model routers, and oodles of other tools, developers solve every networking problem with one gateway. Doesn’t matter if they’re sharing localhost or running AI workloads in production. We're trusted by more than 9 million developers at companies like GitHub, Okta, HashiCorp, and Twilio. What started as a way to put your local app on a public URL has grown into a universal gateway for API delivery, AI inference, device fleets, and site-to-site connectivity. It’s the same ngrok that millions of developers have loved and leaned on every day for years, now with the power to run production traffic at scale. A few things you should know: • Our mascot is a rock, • We are obsessed with our pets, Viper sunglasses and Bufo (yes, the toad), • We have a designated Chief Emoji Officer - they are vital to our success!, • We like software that’s serious and culture that’s not Most people skim to 'requirements' and bounce. You're actually reading this. That's the kind of thoroughness we respect, or you're just procrastinating. Either way, same same and you should keep reading. We own ngrok’s core gateway layer — the infrastructure that sits between the internet and everything our customers run. Every request, response, retry, and timeout passes through here. Our job is to make sure that traffic is: • Routed exactly where it’s supposed to go, • Secured correctly, every time, • Allowed or blocked for reasons we can explain, • Rate-limited and shaped without surprises, • Observable when something inevitably goes sideways, • Build and operate the gateway core: You’ll work on the services every ngrok request passes through. They’re very fast, very hot, and have extremely high standards., • Design routing and security primitives everyone depends on: You’ll build low-level policy, routing, and validation systems used across the platform—making sure bad configs fail fast and don’t accidentally DDoS the internet., • Debug distributed systems in the wild: You’ll chase bugs caused by timing, load, and incorrect assumptions. Expect metrics, traces, packet captures, and the occasional “how is this even possible?”, • Ship infrastructure people sleep on (in a good way): You’ll build simple, durable systems and clean abstractions that other teams rely on daily—while thinking about blast radius, safety, and rollbacks more than flashy demos., • You’re comfortable in Go, Rust, C/C++, or Java (bonus points for Go), • You’ve built networking, proxy, or infrastructure systems in production, • You understand TLS/mTLS, • You enjoy systems that are invisible until they’re not, • You passionate about building primitives other teams depend on, • You’ve said “this needs to be rock solid” and meant it literally Extra credit if you’ve worked on: • Gateways, proxies, or edge platforms, • Security-critical infrastructure, • Multi-tenant networking systems, • Config-heavy systems that must never surprise users, • Anything described as “simple” in the original proposal ngrok runs entirely on AWS. Engineers develop by SSH’ing into remote EC2 environments that run a full Kubernetes cluster of the ngrok stack, closely mirroring production. The codebase is primarily Go and TypeScript. We use Postgres for persistence, Kafka for streaming, Protobuf for service boundaries, and Kubernetes, Terraform, Helm, and Buildkite to operate and ship reliably. React is used for user interfaces, and GitHub supports our development workflows and remembers everything. This is a remote position for candidates outside of the Bay Area and a hybrid role for candidates within commuting distance to San Francisco. Our Bay Area employees commute to the office on Tuesdays and Wednesdays. All candidates must be US-based, and legally authorized to work in the United States. At this time, ngrok is unable to provide visa sponsorship for this position. Applicants must be authorized to work in the United States on a permanent, ongoing basis without the need for current or future sponsorship. Senior Software Engineer • Tier 1 (SF, LA, Seattle, NYC): $180,000 – $225,000, • Tier 2 (rest of US): $165,600 – $207,000 Software Engineer III • Tier 1 (SF, LA, Seattle, NYC): $160,000 – $200,000, • Tier 2 (rest of US): $147,200 – $184,000 Software Engineer II • Tier 1 (SF, LA, Seattle, NYC): $132,000 – $165,000, • Tier 2 (rest of US): $121,400 – $151,800 #LI-Remote Compensation for this role depends on level, but we provide a competitive mix of salary and equity. We provide a 401(k) with a 100% match up to 3% of your salary and a 50% match up to another 2%. We provide healthcare, dental, and vision with premiums fully covered on the base plan for employees. Half of premiums are covered for dependents. We offer unlimited PTO and a culture in which the overwhelming majority of employees take more than four weeks. Your manager is also on the hook for encouraging you to do the same.

Company & Culture: At GT’s Living Foods, we’re more than just a company – we’re a community passionate about creating a healthier, happier world. Over the last 30 years we’ve built a culture of inclusivity and authenticity, where our shared values create an environment that inspires you to do your best while achieving meaningful results. Our mission to transform health and happiness through potent, living foods has established us as the #1 Kombucha brand and a leader in the Health & Wellness space. Requirements: • Minimum of 7–10 years of experience in enterprise data and analytics, with at least 3–5 years leading Power BI and data modeling initiatives., • Bachelor’s Degree: (or equivalent work experience) in Computer Science, Data Analytics, Information Systems, or related field. Job Responsibilities: We are seeking a seasoned Data Architect with deep expertise in Power BI and a passion for AI enablement. This critical role will lead the transformation of raw data into actionable insights, accelerate AI adoption, and support data-driven decision-making across our business. As a key member of the Business Intelligence & Analytics Team, the Data Architect will own the design, development, and governance of our Power BI environment. In addition to hands-on Power BI development, this individual will architect scalable, enterprise-grade reporting solutions, establish best practices, and lead a small team of BI developers and data analysts. The role involves close collaboration with cross-functional teams including IT, Sales, Finance, Marketing, Manufacturing, and Operations to deliver impactful dashboards and analytical tools that drive growth, operational efficiency, and commercial performance. Success in this role requires strong proficiency in enterprise data warehousing, along with expert-level knowledge of data modeling, data integration, visualization, best practices, and cloud-based storage solutions. Primary Accountabilities (35% Plan, 30% Build, 35% Run) Application Management: • Lead the development and optimization of enterprise-grade Power BI solutions, including semantic data models, DAX calculations, and scalable dashboards aligned with business KPIs., • Partner with business leadership and Business Systems Analysts to define analytical needs and ensure the Power BI application strategy supports organizational goals across commercial, supply chain, and finance functions., • Oversee the health and performance of the Power BI platform, ensuring alignment with service level agreements, delivery timelines, and end-user expectations., • Serve as a subject matter expert in Power BI and Microsoft AI capabilities, managing vendor relationships, training business users, and enabling efficient analytics adoption across the enterprise., • Continuously evaluate emerging trends in Power BI, Microsoft Fabric, Azure OpenAI, and data visualization to identify opportunities for innovation and system improvement., • Proactively manage risks related to Power BI platform operations by developing and enforcing data governance, usage policies, and support protocols., • Ensure system uptime, data accuracy, and availability meet or exceed agreed-upon business service levels and compliance standards., • Data Modeling: Collaborative Portfolio Management: • Collaborate closely with Business Systems Analysts and stakeholders to translate business and functional requirements into technical data architecture and visualization solutions., • Champion the adoption of advanced analytics and AI-driven features such as Power BI Copilot, Smart Narratives, and Azure OpenAI integrations to accelerate data-driven decision-making., • Facilitate cross-functional alignment by engaging subject matter experts and business units to evaluate and prioritize reporting and AI use cases that deliver measurable business value., • Lead reporting and analytics initiatives from ideation through execution—including stakeholder interviews, business case development, roadmap planning, technical delivery, and post-implementation optimization., • Design and institutionalize repeatable frameworks for KPI measurement, performance monitoring, and business self-service analytics leveraging certified Power BI datasets., • Provide comprehensive documentation, governance artifacts, and training materials to support scalable, secure, and sustainable adoption of analytics tools and methodologies. Technology and Operational Support: • Partner with IT, Data Engineering, and Infrastructure teams to deliver technically sound, performance stable, and secure Power BI solutions and underlying data pipelines, including Governance that define reporting standards, manage RLS, naming conventions, and promote self-service., • Provide subject matter expertise in data modeling, ETL architecture, semantic layer design, and analytics lifecycle best practices to shape and transform data from D365 F&O and Azure Data Lake into optimized structures for enterprise analytics., • Participate in the selection, evaluation, and renewal of technology partnerships and software agreements related to BI platforms and AI capabilities., • Offer ad hoc troubleshooting support and platform oversight, ensuring tickets are resolved in alignment with SLAs, and user satisfaction remains high., • Monitor and improve operational KPIs for reporting uptime, issue resolution, and data pipeline performance through continuous improvement initiatives. Knowledge, Skills, & Abilities: Experience • Proven experience designing enterprise reporting solutions using Power BI, including semantic models, DAX, and integration with Azure Data Lake and/or Dynamics 365 F&O., • Demonstrated success working cross-functionally with business stakeholders, Business Systems Analysts, and data engineering teams to deliver strategic analytics solutions Key Role Competencies • Strategic Thinking: Develops and articulates a vision for enterprise analytics and AI adoption. Aligns reporting solutions with broader business strategy and adapts to emerging technologies and organizational priorities., • Accountability: Owns deliverables related to reporting architecture, AI enablement, data governance, and platform stability. Sets clear expectations and leads a team toward measurable outcomes., • Performance Leadership: Coaches and mentors, a team of analysts and developers, implements performance standards, and ensures ongoing team growth and delivery excellence., • Navigating Ambiguity: Excels in fast-paced and evolving environments, especially when bridging business needs and technical realities across complex data ecosystems., • Functional/Technical Skills, • Power BI Expertise: Deep proficiency in Power BI development, DAX, Power Query (M), data visualization best practices, and enterprise dataset governance., • AI and Advanced Analytics: Hands-on experience enabling AI features within Power BI (e.g., Copilot, Smart Narratives, Q&A) and exposure to Azure OpenAI, SynapseML, or ML integration pipelines., • Data Integration & Modeling: Strong understanding of Azure Data Lake Gen2, Synapse Analytics, and data modeling for complex domains like make-to-order manufacturing, financials, and supply chain., • Governance & Enablement: Experience implementing data governance, RLS, self-service frameworks, certified datasets, and training programs to support scalable BI adoption., • Project & Portfolio Management: Skilled in managing reporting and AI projects from scoping to delivery. Familiarity with Agile, Scrum, or Kanban methodologies., • Stakeholder Engagement: Strong collaboration skills with functional leaders, analysts, and end-users to translate requirements into technical solutions., • Certifications: (Preferred), • Microsoft Certifications:, • Microsoft Certified: Power BI Data Analyst Associate (PL-300), • Microsoft Certified: Azure Enterprise Data Analyst Associate (DP-500 retired) or Microsoft Certified: Fabric Analytics Engineer Associate (DP-600 current), • Microsoft Certified: Azure Data Fundamentals (DP-900), • Project & IT Management:, • Certified Scrum Product Owner (CSPO), PMP, or Agile Certified Practitioner (ACP), • ITIL v4 Foundation (for service delivery alignment) GT’s Employee Experience (Benefits/Perks): • Health Insurance: Medical, Dental, Vision, and Life Insurance, • 401K with Matching, • Employee Assistance Program, • Discounts on the amazing GT’s product line, • Corporate Discounts with our partners through LifeMart (concert & sporting event tickets, cell phone service, gifts, restaurants, hotels, gyms, childcare, and more!) Job Details: • Work Hours: Monday through Friday, business hours; onsite 4 days (Vernon, CA); remote 1 days; with additional weekend or on-call requirements, • Work Attire: Use good judgment, keeping in mind the nature of their work, their safety and the safety of others, and their need to interact with the public., • Pay Range: $130,000 - $175,000 + Bonus eligible GT's Living Foods, LLC is an Equal Opportunity Employer committed to hiring a diverse workforce and maintaining an inclusive culture. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, protected veteran status, disability or any other basis protected under federal, state or local laws.

At Serve Robotics, we’re reimagining how things move in cities. Our personable sidewalk robot is our vision for the future. It’s designed to take deliveries away from congested streets, make deliveries available to more people, and benefit local businesses. The Serve fleet has been delighting merchants, customers, and pedestrians along the way in Los Angeles while doing commercial deliveries. We’re looking for talented individuals who will grow robotic deliveries from surprising novelty to efficient ubiquity. We are tech industry veterans in software, hardware, and design who are pooling our skills to build the future we want to live in. We are solving real-world problems leveraging robotics, machine learning and computer vision, among other disciplines, with a mindful eye towards the end-to-end user experience. Our team is agile, diverse, and driven. We believe that the best way to solve complicated dynamic problems is collaboratively and respectfully. What You’ll Be Doing As a Senior Software Engineer on the Delivery Platform team, you will design and build highly scalable and robust systems that power our Delivery and Fleet Management platforms. You’ll spend most of your time coding, designing, and reviewing Elixir code, contributing to mission-critical infrastructure that supports our growing fleet of delivery robots. You’ll collaborate closely with other engineers and stakeholders to ensure that our systems meet the demands of scale and innovation in the logistics domain. Responsibilities Architect & Develop: Design, implement, and maintain distributed systems in Elixir, focusing on scalability, fault tolerance, and performance. Platform Contributions: Work on the Delivery and Fleet Management platforms, supporting uptime, reliability, and evolving product needs. Scaling & Performance: Identify bottlenecks, devise solutions, and optimize systems to handle rapid increases in traffic and data volume. Cross-Functional Collaboration: Work with product managers, operations, and fellow engineers to align solutions with business and user needs. Engineering Rigor: Contribute to best practices in testing, CI/CD, and development workflows to ensure continuous improvement and delivery. Qualifications 5+ years of professional experience in software development Technical Experience: 2+ years of experience with Elixir or Erlang, ideally in building scalable, distributed systems. Solid understanding of concurrency, fault tolerance, and event-driven architectures. Familiarity with cloud services (AWS, GCP) and containerization (Docker, Kubernetes) is a plus. Team Collaboration: Experience working on cross-functional teams in agile environments. Clear communicator comfortable discussing both technical and product-related topics. Hands-On Engineering: Strong interest in crafting well-designed, production-grade systems and tools. A passion for backend development, systems thinking, and performance optimization. What Makes You Stand Out Deep Curiosity: You have a natural drive to understand complex systems and improve them. Ownership Mentality: You treat problems as opportunities and take initiative in solving them. Commitment to Quality: You value code clarity, testing, and building systems that are reliable and resilient. Team-Oriented: You enjoy working with others, learning from peers, and sharing what you know. Interest in Logistics: You're intrigued by delivery, robotics, and transportation, and excited by the challenges of real-world logistics platforms.

About the role: As a Solutions Integration Engineer at Samsara, you will be an integral member of the Professional Services Organisation responsible for helping Samsara’s most strategic customers build and implement B2B integrations with our IoT platform. In a given week, you may work with a large long-haul trucking company, an industrial-scale food producer, and a public utility to map a customer’s integration needs to current and future API capabilities, help building custom integrations, provide guidance and technical training to implementation teams to follow best practices, troubleshoot issues and advocate for fixes on behalf of customers (working with our tech support team), and ensure a successful customer relationship. A successful Solutions Integration Engineer at Samsara will develop a thorough understanding of B2B integrations to ensure the proper technical solution is delivered to our customers. Your role will be cross-functional, working alongside and connecting product managers, business operations, sales, and systems engineers, enabling you to experience multiple aspects of a hyper-growth company from within. Since Samsara is a fast-growing company with emerging IoT technology, you can expect this role to evolve, with opportunities to take on increasing levels of responsibility and impact our growth This is a remote position open to candidates residing in the US except Alaska, Austin Metro, Boulder Metro, California, Chicago Metro, Connecticut, Dallas Metro, Denver Metro, Houston Metro, Maryland, Massachusetts, New Jersey, New York, Rhode Island, Seattle Metro, and Washington, D.C. You should apply if: • You want to impact the industries that run our world: Every phone call you answer and every email you send can affect whether truck drivers deliver goods on time and without accidents, whether students get dropped off safely from school, or whether power gets restored quickly after a natural disaster., • You thrive the most when solving problems: Our constantly expanding technology and the complexities faced by our customers provide an exciting range of challenges for our Customer Success teams. With a growth mindset and a desire to learn, you will strategically partner with our customers to find unique solutions to help keep their operations safe, efficient, and sustainable., • You are a natural relationship builder: Whether the relationship is with our customers or with cross-functional teams in Samsara, you are in constant communication and collaboration with key stakeholders to win as a team., • You are the architect of your own career: If you put in the work, this role won’t be your last at Samsara. This Customer Success team is still shaping its future and you will have plenty of autonomy and opportunities to master your craft in a hyper growth environment., • You want to be with the best: At Samsara, we win together, celebrate together and support each other. You will be surrounded by the best and brightest professionals out there. In this role, you will: • Lead system integration projects with customer development teams, Samsara’s partners, 3rd-party systems integrators or build your own enterprise-grade scalable solutions using various Samsara’s Web integration technologies (APIs, Webhooks, Connectors, and more.), • Design/develop/define complex project scopes, technical specifications and business requirements between Samsara and multiple stakeholders - from design through delivery and beyond, • Plans complex projects that involve a variety of people, dependencies, uncertainty, risk and impact. Comfortable making delivery commitments for larger projects, • Accounts for maintainability, portability, scalability, and reliability in technical designs and knows when to trade them for speed of delivery, • Build robust and scalable integration architecture to help solve use cases like Real-time Data Streaming, Event subscriptions, Batch processing, etc., • Build, test, validate, and review code to ensure completeness and highest quality deliverables, • Advise and document best practices around integrations using Samara APIs and products, • Test, validate and review code to ensure completeness and highest quality deliverables, • Leads by example: conducts thorough code reviews and provides feedback that is actionable and insightful, • Exchange best practices, share knowledge with the Samsara product team, developer community, and advocate for customer experience, • Collaborate with the Samsara’s Developer EcoSystem team closely to improve our API experience and featureset, • Contribute to the enhancement of Professional Services methodologies and tools, • Champion, role model, and embed Samsara’s cultural principles (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as we scale globally and across new offices Minimum requirements for the role: • Bilingual, with good speaking and working proficiency in Spanish, • 5+ years of experience designing and developing Integration solutions using proven architecture methodologies, • Experience in gathering data integration requirements and translating into good technical data designs, • Can write, read, and understand code in Python and any one additional programming language (for example, JavaScript, AppScript), • Proficient in leveraging LLM-based tools for code generation, prompt engineering, automation, and enhancing developer productivity, • Experience with agentic workflows, including the design, orchestration, and deployment of multi-agent systems for enterprise use cases, • 3+ years hands-on experience in developing solutions leveraging any of the modern Cloud Services (AWS, Azure, or GCP), • Hands-on experience in building or working with RESTful APIs/Webhooks and modern databases, • Knowledge of PowerBI/Tableau, SQL, and data visualization concepts is a huge plus, • Hands-on experience with customer evaluations and deployments, with the ability to juggle multiple customer engagements in parallel, • Proven ability to effectively manage complex projects with a wide range of stakeholders including C-Level executives, • Strong written communication and presentation skills, demonstrated ability to work with a diverse set of teams, • Proficient in using GitHub for version control and collaboration, • Experience working with Modern Agile tools (e.g. Jira, Confluence) An ideal candidate also has: • Bachelors in Engineering, Computer Science, or related discipline, • Minimum 3+ years customer facing experience building and supporting Enterprise-scale integrations or API scripting, • Consistent track record of configuring and deploying complex technical solutions, • Familiarity with B2B system integration projects and workflows, • Bias-to-action and hands-on experience delivering business results, • Tinkering with hardware gadgets, sensors, or vehicles is a plus, • Familiarity with fleets and logistics is a plus, • Understanding of vehicle diagnostic systems is a plus

About Glass Health Glass Health was physician co-founded because we believe that technology should be fully leveraged to optimize the practice of medicine and improve patient care. We’re building the better tools we as physicians want, so we can spend more quality time with our patients. To this end, we have set out to empower clinicians with the best-in-class AI for clinical decision support (CDS). We aim to increase diagnostic accuracy, improve the implementation of evidence-based medicine, accelerate the achievement of health equity, eliminate clinician burnout, and improve patient outcomes worldwide. About the role: We’re looking for experienced, problem-solving engineers across the stack (Product, Full-Stack, Backend, Applied AI/LLM) to build new products and grow existing products. Our success depends on our ability to quickly iterate on products, while also ensuring that they are performant and reliable. You’ll work in a deeply iterative, collaborative, fast-paced environment to bring our technology to tens of thousands of users, and ensure it’s delivered with finesse and reliability in mind. While we have a head-start, this is a Founding engineering role - you will have expanded ownership, a defining impact on the success of the company, and play a crucial part in shaping the future of healthcare. \n Depending on the role, you will: • Design and build the development and production platforms that power our new products, enabling reliability and security at scale, • Own the development of new user-facing generative AI features and product experiences end-to-end, • Partner with researchers, engineers, product managers, and designers to bring new features and research capabilities to the world, • Accelerate engineering productivity by empowering your fellow engineers with excellent tooling and systems, • Help create a diverse, equitable, and inclusive culture that makes all feel welcome while enabling radical candor and the challenging of group think, • Like all other teams, we are responsible for the reliability of the systems we build. This includes an on-call rotation to respond to critical incidents as needed You might thrive in this role, if you: • Have 5+ years of engineering experience in various tech environments, including product-driven companies., • Have experience with TypeScript/React on the frontend, Python on the backend, adaptability, and a drive to learn new technologies., • Are comfortable taking ownership in an ambitious, fast-paced and diverse startup environment., • Possess significant experience in designing, building, and scaling production systems to deliver new product capabilities and manage increasing demand., • Are committed to creating outstanding user experiences and take pride in developing solutions that meet customer needs., • You are excited about and stay up-to-date with rapidly advancing changes in AI and LLM technology., • Demonstrate humility, a collaborative spirit, and a willingness to support your colleagues to ensure team success., • Take ownership of challenges from start to finish, and are proactive in learning new skills as needed., • Build tools to accelerate your own (and your teammates’) workflows, but only when off-the-shelf solutions won’t do., • Have experience in startup environments, either as a founder or an early-stage engineer (bonus points, not required)., • Are familiar with healthcare, EHR, HIPAA & other healthcare regulatory structures (bonus points, not required). Tech Stack • LLMs: OpenAI & similar, • Backend: Python, Django, Postgres, • Frontend: React, Typescript, • Infrastructure: GCP, Docker Compensation, Benefits and Perks • Flexible work hours & generous PTO, • High autonomy and support from a collaborative team, • New Macbook Pro, • Work from home stipend, • Personal development stipend Why join Glass? • You dream of improving healthcare with us for both patients and physicians., • You want to join a company that’s always been focused on improving patient care. Since 2022, Glass has already helped physicians-in-training and physicians with better tools including our DDx, Clinical Plan and Glass Notebooks. We have just launched our game-changing AI CDS to provide doctors with real-time suggestions and insights., • You’re passionate to serve our growing, immensely loving and respectful community, including 150+ physicians & physicians-in-training., • Be on the bleeding-edge of AI. We strive to be the best-in-class AI CDS, and we’ll be harnessing and developing novel approaches along the way., • We are at an inflection point on our startup journey. We’ve raised _ (including 5M seed round) from:, • Top-tier investors, such as YCombinator and Initialized, • Our first health system partner, Kaiser Permanente Mid Atlantic, • Top healthcare CEOs, including Tom Lee of One Medical, Heather Hasson & Trina Spear of FIGS, Connor Landgraf of Eko Health, Othman Lararki of Color Genomics, and Dan Siroker of Rewind and Optimizely. We will raise our Series A this year. Interview process • Initial background/light technical interview (45 mins), • Live coding challenge (1 hr), • Final interview: System design problem + realistic work simulation challenge (live; ~_ hr) \n$120,000 - $210,000 a yearBase salary: Hybrid in San Francisco (min. 2 days in office per week): $180,000 - $210,000 p.a. Fully remote: May be location-adjusted relative to the aboveEquity: 0.5% - 1.0%\n Glass Health is an equal opportunity employer. We celebrate our diversity and are committed to creating an equitable and inclusive team environment that reflects the patient communities we serve. We especially encourage applicants from historically under-represented and under served communities to apply. For US Based Candidates: Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records.

We are rebuilding biotech for the AI era. When a breakthrough is delayed, the world waits. Getting a molecule from discovery to patients, or a crop from lab to field, involves thousands of slow, manual, disconnected steps. AI has the potential to change this, compressing decades of R&D work into years. But that only happens when clean, structured scientific data and AI are built into how science gets done. Benchling is the AI platform for biotech R&D. Scientists use Benchling to design experiments, capture structured data, and run AI agents and models directly in their workflows. Over 200,000 scientists around the world trust Benchling to power their most important work, from academic labs to Sanofi, Moderna, and more than half of the world's top 50 biopharma. We’re building an AI scientist for our customers. We can’t do that if we haven’t built the muscle ourselves. AI fluency is the foundation we build on; it's core to how we work, and we're committed to helping every new hire integrate it into their day-to-day. As part of our interview process, you'll complete a brief AI-focused exercise or discussion so we can understand how you think about and use AI to drive impact in your role. Feel free to reference any tools, platforms, or workflows you use today. Biotechnology is rewriting life as we know it, from the medicines we take, to the crops we grow, the materials we wear, and the household goods that we rely on every day. But moving at the new speed of science requires better technology. Benchling's mission is to unlock the power of biotechnology. The world's most innovative biotech companies use Benchling's R&D Cloud to power the development of breakthrough products and accelerate time to milestone and market. Come help us bring modern software to modern science. Benchling is building Intelligence Engineering & Enablement, a small autonomous team within our Security & IT organization. We own three things: internal AI tooling, adoption, and AI-assisted workflows across the company; cross-functional and company-wide agentic AI applications that span departmental boundaries; and the source-of-truth datasets, pipelines, and analytics that all of the above depend on, in partnership with our Data, Analytics & Systems team. We span the bridge between departmental AI experimentation and enterprise-grade agentic systems in production — rapidly prototyping new solutions, and graduating proven prototypes into hardened, well-governed systems with full SDLC rigor. We're built to be enablers. We set the patterns, standards, and shared infrastructure that let departmental teams and AI power users across the company build their own solutions, and we take on the agentic systems that no single team owns. It's early days for enterprise agentic AI at Benchling, and we'll be moving fast — iterating on prototypes, learning from internal customers, and changing direction as the field matures. As the founding engineer for this team, you'll own the technical direction, architecture, and delivery of our agentic AI portfolio. You'll be a player-coach — hands-on most of the time, leading by doing — and partner closely with our AI Product Manager on prioritization and our Data, Analytics & Systems team peers on the data foundations that agentic systems depend on. This is a senior individual contributor role on a flat team: you'll lead the engineering team in ideation, planning, and delivery and you'll drive technical hiring, while people management responsibilities sit with the hiring manager. Check out our engineering blog for examples of past work across Benchling. Shape technical direction and architecture: Define the foundational architecture for enterprise agentic AI at Benchling — orchestration, agent frameworks, tool integrations (including MCP), memory and state management, evaluation, and observability. Make clear build vs. buy decisions across the stack with documented rationale. Build and ship the early portfolio yourself: Write production code at least half your time, particularly during the team's first year. Stand up the CI/CD, testing, evaluation, and deployment infrastructure for agentic systems — leveraging existing patterns from Benchling's Build organization wherever possible. Graduate prototypes from the AI Product Manager's discovery cycles into hardened, production-grade systems and own production support under a "you build it, you run it" model. Design for enterprise from day one: Build for multi-tenant isolation, secrets management, audit logging, payload encryption, role-based access controls, and human-in-the-loop controls calibrated to risk. Partner with Security Engineering on threat modeling for agentic architectures — prompt injection, tool misuse, data exfiltration vectors. Enable builders across the company: Coach power users and departmental teams on production patterns, develop the criteria that decide which prototypes graduate into enterprise-grade systems, and build the internal-facing developer experience — templates, SDKs, sandboxes — that lets builders outside this team ship safely. Partner across functions: Work closely with our Data, Analytics & Systems team peers on the source-of-truth datasets and pipelines that agentic systems depend on. Engage with department leaders on the workflows we're transforming, and with Benchling's platform and infrastructure teams to leverage existing capabilities rather than build parallel systems. Elevate engineering standards: Set the bar for code quality, testing and evaluation, documentation, and on-call practices. Drive technical hiring through interview loop design, bar-raising in interviews, and representing the team to senior candidates. Mentor engineers on the team and other AI builders across the company. 7+ years of professional software engineering experience building production systems, with strong systems design fundamentals. Hands-on experience building production systems that integrate with LLMs and/or agentic patterns: orchestration, tool use, memory and state management, evaluation, and observability. Demonstrated understanding of how to optimize workloads across deterministic and non-deterministic capabilities, striking the right architectural balance for the needs of the specific solution being implemented. Production experience with at least two of: Python, TypeScript/Node.js, Go; comfort with working across the stack. Hands-on expertise with LLM APIs (OpenAI, Anthropic), agentic frameworks (LangChain, CrewAI), RAG over business content (Confluence, contracts, policies), vector databases (pgvector, Pinecone), workflow automation (n8n, Langflow), and LLM observability and evaluation tooling (LangSmith, Arize). Track record of going from zero to one: a platform, function, or product area you built up from scratch and scaled. Experience operating in regulated or security-sensitive environments. Solid grasp of enterprise security fundamentals — encryption, access controls, audit logging, secrets management. Comfortable exercising technical leadership independent of positional authority. You set direction, raise the bar in design reviews, and grow other engineers through influence. Build software with a product-first approach. You ship code quickly and care about the real-world impact of your work. Enjoy ownership and building key pieces of platforms. Strong communication skills with both technical and non-technical audiences. You can translate department workflows into engineering plans, and engineering tradeoffs into business language. Interest in learning more about life science (prior knowledge is not required). NICE TO HAVE Background in enterprise SaaS, life sciences, or biotech. Familiarity with LLM orchestration patterns and frameworks (LangGraph, MCP, agent SDKs from major model providers). Experience with async orchestration (Temporal, Prefect, Airflow) applied to long-running or agentic workflows. Familiarity with SOC 2, HIPAA, or GxP compliance as they apply to AI systems. Experience building internal developer platforms or internal tools at scale. Direct experience coaching or enabling non-engineers (analysts, ops staff, business power users) to build with AI tooling. #LI-Remote #BI-Remote #LI-CG1 Benchling welcomes everyone. We believe diversity enriches our team so we hire people with a wide range of identities, backgrounds, and experiences. We are an equal opportunity employer. That means we don’t discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We also consider for employment qualified applicants with arrest and conviction records, consistent with applicable federal, state and local law, including but not limited to the San Francisco Fair Chance Ordinance.

REQUIREMENT: Microsoft 365 Power Platform Developer (PowerApps / Power Automate) Columbia, South Carolina (Hybrid)---Locals Only Need Overall 10+Years of experience 3 References from the recent projects is must. Minimum Qualifications: • Microsoft 365 Power Platform (PowerApps and Power Automate (Flow)), • Skilled in SharePoint 2019 and SharePoint Online, • Net Framework (ASP.net, ADO.net), • Microsoft CoPilot, • Skilled in one or more relevant development languages, • A bachelor’s degree in information technology systems, computer science; or related field and eight (8) years of experience in information technology systems or related area., • Or an associate's degree and ten (10) years of experience in information technology systems or related areas, • Or a high school diploma and twelve (12) years of experience in information technology systems or related areas. Preferred: • Experience in projects involving PCI/ NIST/Pub1075 security implementations and / or audits., • Experience in projects involving PCI/ NIST/Pub1075 security implementations and / or audits., • Security procedures If you are interested share your updated resume with contact number to this email sivarajan.s@zirlen.com Flexible work from home options available. Zirlen Technologies Inc, A Leading IT Services company, offering a wide array of solutions customized for a range of key verticals and horizontals. From strategy consulting right through to implementing IT solutions for customers, Zirlen addresses the entire IT space. As a diverse end-to-end IT solutions provider, Zirlen offers a range of expertise aimed at helping customers re-engineer and re-invent their businesses to compete successfully in an ever-changing marketplace. Zirlen is a global management consulting, technology services and outsourcing company. Combining unparalleled experience, comprehensive capabilities across all industries and business functions, and extensive research on the world’s most successful companies, Zirlen collaborates with clients to help them become high-performance businesses and governments.

Mission The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. About SIMBA Voice Agents by Speechify SIMBA lets companies deploy natural, human-sounding AI voice agents in 71+ languages with sub-second latency. We're growing fast and need the systems to match — which means building the outbound engine, sales infrastructure, and automation stack that fills pipeline and keeps it moving. About the Role We're hiring our first GTM Engineer for SIMBA. You'll build and own the technical systems that power our outbound motion — from lead enrichment and sequencing to CRM architecture and AI-powered personalization at scale. This is purely an infrastructure and systems role. You'll be the person behind the scenes making sure the right prospects get the right message at the right time, and that the Sales team has the tooling and data to close. If you've built outbound systems from scratch, live inside Clay and Apollo, and measure your work in pipeline influenced — read on. What You'll Do • Build and maintain SIMBA's outbound infrastructure — lead sourcing, enrichment pipelines, scoring models, and sequencing workflows that run at scale, • Own the GTM tech stack end-to-end: CRM (HubSpot/Salesforce), enrichment (Clay, Apollo, Clearbit), sequencing (Outreach, Instantly), and the glue between them, • Deploy AI agents for automated prospect research, personalized outreach generation, and follow-up workflows — reducing manual work for the Sales team, • Instrument the full top-of-funnel: track what's working, cut what isn't, and continuously optimize for meetings booked and pipeline created, • Build integrations and automations via APIs, webhooks, and tools like Zapier/Make to keep data clean and systems in sync, • Evaluate and adopt new AI and GTM tooling rapidly — be the team's resident expert on what's emerging and what's worth building on What We're Looking For • Solid experience in GTM engineering, growth engineering, or RevOps role with a heavy technical lean, • You've personally built outbound systems from scratch — enrichment pipelines, multi-step sequences, lead scoring — not just managed existing ones, • Deep hands-on experience with the modern GTM stack: Clay, Apollo, HubSpot or Salesforce, Outreach or Instantly, Zapier/Make, Webhooks, REST APIs, • You think in funnels and measure everything — pipeline influenced, reply rates, meeting conversion, and cost per opportunity are metrics you track obsessively, • You ship fast, keep things simple, and don't wait for permission Nice to Have • Experience building GTM systems for an AI, voice, or developer-tools product, • Familiarity with contact center, CX, or telephony buyer personas, • Background at a B2C company that also runs a B2B or API sales motion Why Speechify SIMBA Build a product that genuinely impresses prospects — sub-second latency and 71+ languages speaks for itself. You'll have high ownership with direct input on GTM strategy, work alongside a team that stays embedded with customers, and operate in a fast-moving environment where your systems have outsized impact. The United States Salary range for this role is - $105,000–$140,000 base salary. On-target earnings of $150,000–$200,000. Think you’re a good fit for this job? Tell us more about yourself and why you're interested in the role when you apply. And don’t forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit? Refer them! Speechify is committed to a diverse and inclusive workplace. Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Mission The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. About SIMBA Voice Agents by Speechify SIMBA lets companies deploy natural, human-sounding AI voice agents in 71+ languages with sub-second latency. We're growing fast and need the systems to match — which means building the outbound engine, sales infrastructure, and automation stack that fills pipeline and keeps it moving. About the Role We're hiring our first GTM Engineer for SIMBA. You'll build and own the technical systems that power our outbound motion — from lead enrichment and sequencing to CRM architecture and AI-powered personalization at scale. This is purely an infrastructure and systems role. You'll be the person behind the scenes making sure the right prospects get the right message at the right time, and that the Sales team has the tooling and data to close. If you've built outbound systems from scratch, live inside Clay and Apollo, and measure your work in pipeline influenced — read on. What You'll Do • Build and maintain SIMBA's outbound infrastructure — lead sourcing, enrichment pipelines, scoring models, and sequencing workflows that run at scale, • Own the GTM tech stack end-to-end: CRM (HubSpot/Salesforce), enrichment (Clay, Apollo, Clearbit), sequencing (Outreach, Instantly), and the glue between them, • Deploy AI agents for automated prospect research, personalized outreach generation, and follow-up workflows — reducing manual work for the Sales team, • Instrument the full top-of-funnel: track what's working, cut what isn't, and continuously optimize for meetings booked and pipeline created, • Build integrations and automations via APIs, webhooks, and tools like Zapier/Make to keep data clean and systems in sync, • Evaluate and adopt new AI and GTM tooling rapidly — be the team's resident expert on what's emerging and what's worth building on What We're Looking For • Solid experience in GTM engineering, growth engineering, or RevOps role with a heavy technical lean, • You've personally built outbound systems from scratch — enrichment pipelines, multi-step sequences, lead scoring — not just managed existing ones, • Deep hands-on experience with the modern GTM stack: Clay, Apollo, HubSpot or Salesforce, Outreach or Instantly, Zapier/Make, Webhooks, REST APIs, • You think in funnels and measure everything — pipeline influenced, reply rates, meeting conversion, and cost per opportunity are metrics you track obsessively, • You ship fast, keep things simple, and don't wait for permission Nice to Have • Experience building GTM systems for an AI, voice, or developer-tools product, • Familiarity with contact center, CX, or telephony buyer personas, • Background at a B2C company that also runs a B2B or API sales motion Why Speechify SIMBA Build a product that genuinely impresses prospects — sub-second latency and 71+ languages speaks for itself. You'll have high ownership with direct input on GTM strategy, work alongside a team that stays embedded with customers, and operate in a fast-moving environment where your systems have outsized impact. The United States Salary range for this role is - $105,000–$140,000 base salary. On-target earnings of $150,000–$200,000. Think you’re a good fit for this job? Tell us more about yourself and why you're interested in the role when you apply. And don’t forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit? Refer them! Speechify is committed to a diverse and inclusive workplace. Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

At Speckle, we’re on a mission to shake up the AEC (Architecture, Engineering, and Construction) industry. To do that, we're building the data layer for AEC to operationalize how the built environment industry works with data and automation. Think of us as a cross between GitHub and Palantir, with an opportunity to significantly impact a $10 trillion industry. Our platform already powers workflows on billion-dollar projects at leading firms like Suffolk Construction, SOM, Multiconsult, WSP, and Stantec. Now, we're focused on bringing a paradigm-shifting product to as many customers as possible. We're building a generational company that will revolutionize how one of the world's largest industries operates. We’re doing that by breaking down barriers and connecting architects, engineers, and designers across every project stage with data. Speckle is backed by top-tier investors and works with some of the most innovative teams in AEC who are tired of outdated workflows and ready to transform how their organizations use data. Our dynamic team is spread across the U.S. and Europe. We value flexibility and hold regular in-person working sessions to keep us moving in the same direction, quickly. Speckle is looking for a U.S.-based Solutions Engineer to sit at the intersection of growth and product, who can translate Speckle's platform into real, tangible workflows for the people building the world's most complex projects. You'll work alongside our sales team to land and expand enterprise deals by proving value in the context of a customer's project delivery workflows and enterprise data ecosystem. You'll be the person customers call when they want to understand not just what Speckle can do, but how it fits into their specific stack, workflows, and problems. We're looking for someone with deep roots in AEC, whether you came up through a firm's digital delivery practice or through the software side, who understands what it actually takes to deliver improved efficiency and increased trust in data on a live project. Bonus if you have even already built something with Speckle. What you'll do: Own pre-sales technical engagements: Lead discovery, configure tailored demos, and work with prospects to validate that Speckle solves urgent and expensive problems for their firm Become a trusted advisor on data workflows: Beyond Speckle itself, you'll help prospects think through broader questions about project data strategy, BIM execution, and interoperability to position Speckle as a long-term partner, not just a tool Own sales enablement resources: Build and maintain the collateral, technical guides, and reference materials that help our sales team engage more effectively, from qualification through to close. Improve our enterprise pilot process and support materials to increase activation and conversion rate. Lead our monthly webinar series: In partnership with our Product Marketing Lead, own end-to-end execution of Speckle's external webinar program, from setting the content calendar, sourcing speakers, and delivering sessions that speak directly to the AEC practitioners we're trying to reach Feed product with field intelligence: You're closest to what customers actually struggle with. You'll surface patterns and insights that inform how we build Build the playbook as you go: We don't have every process locked down yet, and you'll help define what great looks like for our enterprise pilot process and customer enablement Build and document the Sale Engineering playbook, covering technical discovery and demo environments, so that it is ready to hand off to a second hire Deliver an increased win rate on Sales Engineer-touched deals: After you’re on-boarding is complete, positively impact our growth by decreasing the sales cycle length and increasing our win rate on new enterprise deals 3+ customer-validated workflow templates published (e.g., model federation, data validation, dashboard reporting) that accelerate onboarding and serve as referenceable proof points AEC Domain Expertise 5–10 years working in AEC software or in a digital delivery, BIM, or technology role at an AEC firm Deep familiarity with project data workflows, including how models develop, how data gets structured, and where collaboration breaks down Hands-on experience with tools in the AEC stack: Revit, Rhino, Civil 3D, Plant 3D, Open Plant, Navisworks, Power BI, or similar Bonus: Speckle experience. You don't need to have been a power user, but you should know what it is and ideally have built something with it Technical Depth, Applied Practically Comfortable navigating APIs, connectors, and data pipelines without needing to hand off to a developer for every question Able to configure and demonstrate technical solutions in the context of a customer's environment, not just a generic sandbox Capable of reading a customer's data problem and proposing a credible path forward Pre-Sales and Customer Engagement Skilled at discovery: you know how to ask the questions that uncover the real problem, not just the stated one Strong presenter and communicator, comfortable in front of a CTO, a BIM manager, and a project team in the same week Bonus: Experience supporting enterprise sales cycles in a technical capacity, whether as a solutions engineer, pre-sales consultant, or technical account manager Customer Adoption and Success Track record of driving product adoption and usage, not just successful implementations Understands that a closed deal is just the starting line. Post-sales engagement, onboarding quality, and time-to-value are what you actually measure yourself on Comfortable owning customer health and escalating risks early Builder Mindset You'll join a small and scrappy team at Speckle, so you need to be comfortable with the building process, not just following it Brings structure to ambiguity without waiting for someone else to create it Has an opinion about what good customer onboarding looks like and is prepared to build it Shape the role: You won't be executing someone else's playbook; you'll help write it! Work with innovators: Our customers are pushing the boundaries of what's possible with AEC data. Real impact: Your work directly influences our growth and the industry's transformation. Learn constantly: You'll be exposed to cutting-edge workflows, automation, and how leading firms are preparing for the future. Remote-first culture: Work from anywhere with a team that values autonomy and trust. Competitive compensation: Base salary + uncapped commission + generous equity. Generous vacation policy: So you can disconnect and recharge. In-person collaboration: We believe in the value of in-person collaboration, with frequent in-person working sessions and an annual all-company retreat We're backed by highly accomplished venture firms that believe in us and our mission! Speckle has a large, established user community and strong brand recognition across the AEC industry We celebrate our truly diverse and inclusive company culture and are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or gender identity.

Location: Remote-friendly. Preference for SF Bay Area, Los Angeles, NYC, or Pacific Northwest. Sleeper is on a mission to connect people over sports through games and community. As one of the fastest-growing platforms in the fantasy sports and real-money gaming space, we’re redefining how sports fans engage—whether it’s through season-long leagues, pick’em contests, or real-time interactions with friends. Our team is lean, passionate, and product-driven. We obsess over user experience and believe that building delightful, fast, and reliable products is the best way to grow. Backed by some of the most respected investors in Silicon Valley, including Andreessen Horowitz and General Catalyst, we're building the future of sports engagement. We’re looking for a Staff Software Engineer - Backend to help us scale the core systems behind our fantasy sports and DFS (Daily Fantasy Sports) offerings. In this role, you’ll drive architectural decisions, build critical backend services, and mentor fellow engineers as we scale to support tens of millions of passionate sports fans. As a senior technical leader, you’ll collaborate cross-functionally to bring innovative features to life—from real-time contest engines and game logic to personalized content and secure, seamless payments. You’ll be empowered to own major parts of the backend stack and help define what "great" looks like in terms of performance, scalability, and reliability at Sleeper. Design and build core backend systems that power Sleeper's games and real-time user experiences—fantasy contests, Sleeper Picks, user profiles, leaderboards, and more. Architect scalable, distributed systems capable of handling millions of concurrent users with low latency and high availability. Lead backend initiatives from concept to deployment, ensuring clean interfaces, well-documented services, and resilient infrastructure. Optimize system performance and proactively address bottlenecks through monitoring, profiling, and capacity planning. Collaborate cross-functionally with product, design, and frontend teams to deliver features that users love. Mentor engineers, provide thoughtful code reviews, and shape backend engineering best practices and standards. Drive innovation, technical direction, and team culture as a key engineering voice at the leadership level. 7+ years of backend software engineering experience, including experience in staff-level or tech lead roles. Proven ability to design and scale distributed systems that serve millions of users in real-time or gaming environments. Strong proficiency in one or more backend languages (e.g., Go, Python, Node.js, Java), and an understanding of trade-offs between them. Deep knowledge of databases (both SQL and NoSQL), caching strategies, and message queues (e.g., Kafka, RabbitMQ, Pub/Sub). Comfortable designing and maintaining RESTful and/or graphql APIs, data models, and internal tooling. Cloud experience (AWS, GCP, or similar), with familiarity with containers (Docker) and orchestration (Kubernetes a plus). Strong product mindset—you care about the why, not just the how, and you build with users in mind. Excellent communication and collaboration skills. You elevate your teammates and enjoy mentoring. Bonus: Passion for sports, gaming, or building multiplayer or real-time systems. Massive Impact – Your work will touch millions of users and help shape the next generation of sports entertainment. High Ownership – We trust our engineers to make high-leverage decisions and drive meaningful outcomes. Startup Agility – Move fast, ship often, and see your work in the hands of users quickly. Culture-First Team – We’re a team of builders, thinkers, and sports lovers who value humility, collaboration, and having fun along the way. Competitive salary ($225,000–$300,000/year not inclusive of stock options and benefits) Equity Comprehensive medical, dental, and vision insurance 401(k) with company matching Generous PTO and flexible remote work policy Opportunities for fast career growth in a high-impact role A small, focused team where your contributions truly matter Sleeper believes in quality over quantity, and intentionally keeps our team small as a result. In past roles, we found it very hard to make a big impact when companies grow too large in size, which has a detrimental effect on the product and the impact any single individual can have. Our team includes designers, engineers, product experts, and finance & operation focused on one thing — connecting people over sports. We believe in fair and equitable pay. Certain locations in the United States require job postings to include a reasonable estimate of the base salary range and/or a general description of benefits and other compensation applicable to the role. Competitive salary plus benefits including Medical, Dental, PTO, 401k. Please note that The salary range for this role ($225,000 to $300,000 per year salary) takes into account a wide range of factors that are considered in making compensation decisions including, but not limited to, skill sets; experience and training; licensure and certifications; and other business and organizational needs. The policy of Sleeper is to provide equal employment opportunities to all applicants and employees without regard to race, color, creed, religion, sex, sexual orientation, gender identity, marital status, citizenship status, age, national origin, ancestry, disability, veteran status, or any other legally protected status and to affirmatively seek to advance the principles of equal employment opportunity. Sleeper is committed to being an Equal Opportunity Employer and offers opportunities to all job seekers, including job seekers with disabilities. If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access the Company’s career webpage as a result of your disability. You may request reasonable accommodations by sending an email to jobs@sleeper.app. Headquartered in Las Vegas, NV, Sleeper is backed by Silicon Valley’s top investors, including Andreessen Horowitz, General Catalyst, and Expa. To learn more, visit us online at:_

Dealstack is on a mission to power private equity. We’re replacing outdated, manual workflows in dealmaking with structured, purpose-built SaaS tools. Founded by industry veterans, our products sit at the intersection of fintech, legaltech, and SaaS—transforming how private equity operates from the inside out. Following strong traction and expansion of our multi-product roadmap, we are hiring a Manual QA Engineer to help ensure our product is stable, intuitive, and production-ready at all times. This is a hands-on, high-impact role within a small, independent product team that values quality over velocity, and collaboration over ego. • 2+ years of experience in manual QA testing for web-based SaaS platforms, • Comfortable testing complex workflows and edge cases, not just UI, • Strong attention to detail with a methodical, user-first approach to testing, • Curious, pragmatic, and comfortable in a fast-moving, changeable environment, • Clear communicator with good written and verbal English, • Interested in fintech and private equity is a bonus—but not a requirement, • Willingness to Learn the Industry Private equity is complex and full of nuance—and that’s exactly what makes our work rewarding. You don’t need a background in finance to succeed here, but you do need a genuine interest in learning how the industry works. Our most effective QA engineers understand the real-world workflows behind the features they test. You'll be expected to engage with internal documentation, ask thoughtful questions, and build a working knowledge of private equity deal structures over timeResponsibilities: • Own manual testing for new and existing features across our React/TypeScript frontend and Node.js/Nest.js backend • Review product specifications and Figma designs to write clear, structured test plans and exploratory checklists • Identify and document reproducible bugs in a structured, developer-friendly way, • Manually test workflows and edge cases that are hard to automate—especially across API and frontend interactions • Collaborate closely with developers to understand architecture and expected behaviour, • Run exploratory testing sessions and regression sweeps before key releases, • Work with the team to continuously improve our QA process and overall product quality Tech You’ll Work With While your focus is manual QA, you’ll interact with the following stack: • React.js (with TypeScript), • Node.js / NestJS, • PostgreSQL, • REST, GraphQL, tRPC APIs, • WebSocket-based interactions, • Figma (for interface reviews), • Tools like Jira, Playwright (for automated tests), and GitHub Nice to Have • Experience with or interest in test automation tools (e.g. Playwright, Jest), • Exposure to CI/CD tools and deployment workflows, • Comfort testing API endpoints directly (e.g. via Postman or Insomnia), • Understanding of data flows and backend systems (e.g. Redis, PostgreSQL), • Previous work in early-stage, product-focused tech companies Work arrangement • This is a remote role, UK business working hours (+-2hrs)

We’re looking for a talented and experienced Senior Data Engineer to join our team and help design, build, and scale modern data platforms. In this role, you’ll lead the development of robust data pipelines, optimize data architecture, and ensure high-quality, reliable data flows across systems. You’ll collaborate closely with product managers, software engineers, analysts, and business stakeholders to translate complex requirements into scalable data solutions that power reporting, analytics, and decision-making. If you’re passionate about clean, efficient data models, resilient ETL/ELT processes, and building infrastructure that turns raw data into actionable insight, we’d love to hear from you. This position is a full-time role. We are 100% remote but candidates must reside and be authorized to work in Costa Rica. Design and implement cloud-based data platforms, pipelines, and data hubs for client engagements Support modernization and migration of legacy data systems to cloud-native architectures Build and maintain high-quality, scalable data pipelines with strong observability and reliability Combine data from multiple sources to create comprehensive, trusted data assets Set up cloud compute and storage (AWS, Azure, SaaS/PaaS, SSO) based on project requirements Design and implement centralized Data Hubs supporting AI/ML, KPI dashboards, SSO, and integrations across platforms (e.g., MarTech, eCommerce, EdTech, DXP, learning systems) Develop reusable components for ingesting, normalizing, transforming, and serving data (DWH, reporting, dashboards, AI/ML use cases) Implement lightweight, effective data modeling strategies focused on performance and maintainability Ensure high availability, data quality, observability, governance, and cataloguing best practices 10+ years of experience in data engineering, data platforms, BI engineering, and/or data architecture Proven experience with end-to-end data management, including data governance, cataloguing, observability, and quality. Advanced SQL expertise (query optimization, performance tuning, complex transformations). Hands-on Azure Fabric experience Strong SSIS and SSAS experience Strong Power BI experience, including data modeling, report/dashboard development, and performance optimization Experience designing and optimizing Data Lakes and enterprise data warehouses Demonstrated leadership in legacy system modernization to cloud (Azure preferred) Strong debugging and root-cause analysis skills Experience with at least one major cloud (Azure strongly preferred; AWS/GCP acceptable) Experience with Git and CI/CD best practices Excellent communication and client-facing skills Experience with AWS, Azure, or GCP (multi-cloud exposure a plus) Experience with tools such as FiveTran, Snowflake, dbt, Google Analytics, Tableau Experience designing and deploying solutions on AWS (Lambda, RDS, DMS, S3, Snowflake or similar cloud data warehouse) Python experience building data pipelines, automation scripts, and AI/ML workflows, including integration with cloud services and data platforms. Experience supporting AI/ML infrastructure and workflows Exposure to Large Language Models (LLMs) DevOps experience including Infrastructure as Code and deployment automation Benefits This is a full-time position with the following benefits: Competitive Base Salary - Great work deserves great pay. Our salaries covers a 40-hour work week, and we also offer optional paid overtime for this position. Optional Paid Overtime - At JBS, overtime is never required, but if you choose to work additional hours beyond 40 in a week, those hours are compensated at an overtime rate. The decision to take on extra work is entirely employee-driven; we respect your time and encourage a balance that works best for you. Private Health Insurance – In addition to CCSS coverage, we provide private medical insurance to give you faster access to care and expanded provider options for you. Generous PTO Policy – Take the time you need to rest and recharge. We provide paid vacation in addition to paid public holidays. Fully remote - We’ve always been (and always will be) 100% remote All JBS roles are fully compliant with Costa Rican labor law, including but not limited to: CCSS Enrollment (Caja Costarricense de Seguro Social). This ensures access to Costa Rica’s national healthcare system, disability coverage, and pension benefits. Aguinaldo (13th Month Bonus) – Employees receive the legally required annual Aguinaldo bonus, paid in December.

Standard Bot’s mission is to significantly lower the barrier to entry to real-world automation, bringing the power of bits to the world of atoms and unlocking productivity for entire new industries and users. Our user-facing applications and APIs directly empower individuals and developers to jump directly into solving their challenges without the need for a background in robotics or automation. A relentless focus on simplicity and ease of use brings this revolutionary potential to new users and industries. We are looking for an exceptional Staff Software Engineer to serve as a technical force multiplier across the organization. This role focuses on tackling the most ambiguous, complex, and high-leverage engineering challenges that span multiple teams and domains. Your impact will be measured not just by the code you write, but by your ability to define the future state of our systems, drive massive, cross-cutting projects to completion, and significantly elevate the technical capabilities and standards of the entire engineering department. Define the Future: Own the long-term technical vision and strategy for major components of our platform, anticipating future scale, security, and product needs a year or more out. Decouple and Scale: Design and champion new system architectures that focus on clear, stable interfaces and domain decoupling to accelerate the velocity of multiple feature teams. Standard Setter: Establish and improve engineering excellence standards, including best practices for code quality, documentation, and the non-functional requirements (performance, reliability) that systems must meet. Drive Multi-Team Programs: Proactively identify, define, and lead complex, ambiguous, and high-risk technical programs (e.g., major platform refactors, organizational-level reliability efforts) that require coordination across 2-3 engineering teams. Pragmatic Trade-Offs: Cut through organizational and technical complexity, making clear, pragmatic technical trade-offs that balance long-term vision with timely delivery against business goals. Hands-on Delivery: Deliver technically deep, cross-cutting software solutions, primarily focusing on back-end systems but maintaining the necessary full-stack perspective to drive end-to-end integration. Systemic Reliability: Drive deep-dive root cause analyses (RCA) for critical, cross-domain production issues, transforming immediate crises into concrete, prioritized engineering work that prevents recurrence across the fleet. Technical Multiplier: Mentor and coach Senior and Mid-Level engineers across the organization, significantly contributing to their technical growth and thereby increasing the overall efficiency and quality of the engineering department. Influence & Accountability: Reliably improve and hold others accountable for a higher quality standard (e.g., reliability, performance, security) across the entire software team. We are looking for a highly self-driven, resourceful, and technically deep engineer who can operate with complete independence across domains. Experience: 8+ years of professional software engineering experience, including a proven track record of successfully leading large-scale, complex projects that span multiple engineering teams. At least 1 year of experience as a staff engineer in a large software organization. System Design: Deep expertise in architecting, developing, and operating distributed, highly-reliable, and scalable systems. Cross-Functional Influence: Proven ability to influence technical direction without direct authority and successfully partner with product management, hardware engineering, and executive leadership. Clarity of Communication: Exceptional written and verbal communication skills, capable of synthesizing complex technical risks and strategies for non-technical leadership. Proactive Simplicity: A relentless drive to reduce complexity, improve operational simplicity, and proactively identify organizational-level technical risks and address them before they become crises. Tech Stack Expertise: Fluency in our core stack is preferred (React, Typescript, Node.js, Python, C++, Kubernetes). This role is hybrid with 3 days/week onsite in our NYC office, centrally located near Grand Central Station. Direct Access to Robotics: Work alongside our physical products with dedicated demo and testing cells, allowing you to validate your work on real robots daily. Collaborative & Modern Space: Enjoy open collaborative spaces for team problem-solving and focus zones for deep work. Customizable Workstations: We provide ergonomic and customizable setups to ensure a comfortable and productive work environment. Amenities: Daily catered lunch, fully stocked kitchens with snacks and beverages, and regular team events. The salary range for this role is $210,000 to $300,000, depending on experience. Base salary is just one part of the overall compensation at Standard Bots. All Full-Time Employees are eligible for Employee Stock Options. We also offer a package of benefits including paid time off, medical/dental/vision insurance, life insurance, disability insurance, and 401(k) to regular full-time employees.

At Murmuration, we believe that America’s promise is shaped and reshaped by the best ideas and ideals of its communities, and the dreams of the people who believe in a better life for themselves, their families, and each other. We help organizations build power in their communities in four key ways: we organize a network of values-aligned partners; we provide deep, data-driven insights into people, places, and perspectives; we develop tools that make organizing and engagement easy and more effective; and we offer services that strengthen our partners’ capacity to lead change in their communities. We envision an America where every community has what it needs to help people lead healthy, free, and dignified lives. We work to redesign the systems and structures we all depend on — how we learn, live, govern, and solve problems — so that they are just, equitable, resilient, and rooted in shared responsibility. By strengthening the ties that hold communities together, we aim for civic life defined by collective action and care, with effective leadership that truly represents everyone. We are a collaborative, curious, and creative team of organizers, scientists, teachers, technologists, campaign veterans, and more who share the unwavering belief that we can use our gifts in service of transforming America — together. We’ve built our team guided by the belief that the whole is greater than the sum of its parts. And so we support each other relentlessly — rallying together to face challenges the same way we celebrate each other’s wins. You're a mission-driven data engineer with a track record of building infrastructure that delivers real impact. You're deeply curious not just about how systems work but about the messy, real-world data they must support. You've done this before: you understand what "good" looks like, you deliver high quality solutions, and you help the teams around you operate more effectively. At Murmuration, you'll work with voter files from 50 states (each with its own format and quirks), census data, polling results, geographic boundaries, election returns, and more. These data sources arrive at different cadences, anywhere from multiple times a day during early voting to once a year from the census. Your role is to bring order to this complexity by building the pipelines, data contracts, and governance that transform these disparate inputs into Atlas, our unified representation of American civic life. This role is for someone who's energized by complex data problems, comfortable with ambiguity, and motivated by the understanding that strong infrastructure and data foundations is a core part of what makes research, product development, and meaningful civic impact possible. You'll partner closely with data scientists, researchers, and product teams who rely on what you build. You also stay curious about emergent technologies, particularly AI, and apply them thoughtfully to amplify your impact and the effectiveness of the broader team. Job Level P4 • Own data pipelines and infrastructure: Design, implement, and evolve scalable, production-grade systems using tools such as Dagster, Airflow, Snowflake, AWS, MongoDB, and dbt. Apply a cloud-native and DevOps mindset using CI/CD, infrastructure-as-code, monitoring, and automated testing to build reliable systems. Partner with cross-functional teams to deliver solutions that meet both immediate product needs and long-term organizational strategy., • Lead data ingestion and integration: Bring in complex, high-volume datasets while ensuring strong data contracts, freshness, quality, integrity, and lineage, and build systems that empower domain experts to contribute to and maintain their own data pipelines., • Transform raw data into trusted data products: Convert raw inputs into structured, usable datasets that empower our analytical and product teams. Collaborate closely with operational data managers to ensure data models and intuitive, reliable alignment with how data is consumed in practice., • Leverage AI: Make informed judgement calls about how AI can be a force-multiplier for both your own work and the team’s and how it can’t., • Elevate the team: Mentor engineers, actively shape technical direction through architectural reviews and roadmap planning, and build team culture through documentation and knowledge sharing., • 6+ years of relevant experience in data engineering or a related field;, • Deep experience designing and operating data pipelines and orchestration frameworks (e.g., Dagster, Airflow);, • Strong understanding of ELT/analytics engineering patterns (e.g., dbt, dimensional modeling, data contracts);, • Hands-on experience with cloud data platforms (e.g., Snowflake) and cloud infrastructure (e.g., AWS);, • Proficiency in Python, containerization (Docker), and modern deployment patterns;, • Experience working in lean, cross-functional teams and operating in environments with evolving requirements; and, • Strong written and verbal communication skills with the ability to explain technical concepts to non-technical partners., • Familiarity with Voter File Data;, • Experience with or interest in political data;, • Background in political tech, civic tech, advocacy, or mission-driven organizations;, • Experience within an engineering team providing technical support to other data functions (e.g., Data Scientists, Data Managers, etc.); and/or, • Experience applying AI/ML techniques to voter or political data. Talented Data Engineers come from all walks of life and career paths. If you are passionate about civic engagement and technology, please apply, even if you do not check every box! Location and Compensation The Senior Data Engineer is a full-time, salaried position with a comprehensive benefits package (details below), open to candidates anywhere in the United States. The starting salary for this position is $190,576. We set compensation using market data and apply it consistently across the organization to ensure fairness and transparency for everyone in similar roles. Our Culture of Care We work hard to create a culture of care to ensure that our staff are best equipped to lead happy, healthy, and balanced lives. To that end, we offer a comprehensive benefits package which includes: • Health, vision, and dental insurance with 100% of premiums covered for you and qualifying family members;, • Retirement benefits with a 5% employer match;, • A flexible unlimited PTO plan;, • Generous paid parental leave;, • Pre-tax commuter benefits;, • A company laptop;, • A flexible remote work environment;, • A home office setup stipend for all new employees;, • Monthly reimbursement for remote work expenses;, • A yearly professional development fund;, • Mental health and wellness benefits through Calm and Better Help;, • Yearly in-person staff retreats; and, • A welcoming culture that celebrates diversity, equity, inclusion, and belonging. At Murmuration, we believe a vibrant, representative democracy depends on the inclusion of diverse voices, lived experiences, and perspectives. The best ideas don’t come from a single person or ideology — they emerge at the intersection of different backgrounds, identities, and viewpoints. We are proud of our commitment to building an organization and culture shaped by respect, empathy, and collaboration, where our team’s diversity fuels innovation, civic engagement, and meaningful change. We welcome new colleagues who will help us nurture this collective effort. Join us. An Equal-Opportunity Employer with a Commitment to Diversity Murmuration is proud to be an equal opportunity employer, and as an organization committed to diversity and the perspective of all voices, we consider applicants equally of race, gender, color, sexual orientation, religion, marital status, disability, political affiliation and national origin. We reasonably accommodate staff members and/or applicants with disabilities, provided they are otherwise able to perform the essential functions of the job. Note: Murmuration is two organizations working together to pursue our mission of amplifying the power of civic engagement: Murmuration Research Institute, a 501(c)(3) that conducts research to identify, design, and create the data, tools, and insights that build healthier and more equitable communities; and Murmuration, Inc., a 501(c)(4) that supports organizations working across the country on the nation’s most challenging issues with access to data, tools, and research that build healthier and more equitable communities.

Mission The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. About SIMBA Voice Agents by Speechify SIMBA lets companies deploy natural, human-sounding AI voice agents in 71+ languages with sub-second latency. We're growing fast and need the systems to match — which means building the outbound engine, sales infrastructure, and automation stack that fills pipeline and keeps it moving. About the Role We're hiring our first GTM Engineer for SIMBA. You'll build and own the technical systems that power our outbound motion — from lead enrichment and sequencing to CRM architecture and AI-powered personalization at scale. This is purely an infrastructure and systems role. You'll be the person behind the scenes making sure the right prospects get the right message at the right time, and that the Sales team has the tooling and data to close. If you've built outbound systems from scratch, live inside Clay and Apollo, and measure your work in pipeline influenced — read on. What You'll Do • Build and maintain SIMBA's outbound infrastructure — lead sourcing, enrichment pipelines, scoring models, and sequencing workflows that run at scale, • Own the GTM tech stack end-to-end: CRM (HubSpot/Salesforce), enrichment (Clay, Apollo, Clearbit), sequencing (Outreach, Instantly), and the glue between them, • Deploy AI agents for automated prospect research, personalized outreach generation, and follow-up workflows — reducing manual work for the Sales team, • Instrument the full top-of-funnel: track what's working, cut what isn't, and continuously optimize for meetings booked and pipeline created, • Build integrations and automations via APIs, webhooks, and tools like Zapier/Make to keep data clean and systems in sync, • Evaluate and adopt new AI and GTM tooling rapidly — be the team's resident expert on what's emerging and what's worth building on What We're Looking For • Solid experience in GTM engineering, growth engineering, or RevOps role with a heavy technical lean, • You've personally built outbound systems from scratch — enrichment pipelines, multi-step sequences, lead scoring — not just managed existing ones, • Deep hands-on experience with the modern GTM stack: Clay, Apollo, HubSpot or Salesforce, Outreach or Instantly, Zapier/Make, Webhooks, REST APIs, • You think in funnels and measure everything — pipeline influenced, reply rates, meeting conversion, and cost per opportunity are metrics you track obsessively, • You ship fast, keep things simple, and don't wait for permission Nice to Have • Experience building GTM systems for an AI, voice, or developer-tools product, • Familiarity with contact center, CX, or telephony buyer personas, • Background at a B2C company that also runs a B2B or API sales motion Why Speechify SIMBA Build a product that genuinely impresses prospects — sub-second latency and 71+ languages speaks for itself. You'll have high ownership with direct input on GTM strategy, work alongside a team that stays embedded with customers, and operate in a fast-moving environment where your systems have outsized impact. The United States Salary range for this role is - $105,000–$140,000 base salary. On-target earnings of $150,000–$200,000. Think you’re a good fit for this job? Tell us more about yourself and why you're interested in the role when you apply. And don’t forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit? Refer them! Speechify is committed to a diverse and inclusive workplace. Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

We are looking for a Senior Software Engineer, Backend to design and scale the APIs and systems that power Foley’s partner ecosystem. You will build reliable, secure, and scalable integrations while helping evolve our platform, infrastructure, and engineering practices. You might thrive in this role if you bring a strong foundation in backend engineering and enjoy building systems that scale across teams and partners. Design and build scalable APIs and integration workflows that power partner-facing products Develop secure, reliable distributed systems with a focus on performance and resilience Contribute to our MuleSoft-based API platform and cloud infrastructure (AWS, Kubernetes, Docker) Improve system scalability, observability, and fault tolerance across services Enhance CI/CD pipelines and DevOps workflows to increase speed and reliability Write clean, testable code and contribute to best practices in system design and architecture Partner with product, engineering, and external teams to deliver high-impact integrations Support partner onboarding through stable, well-documented APIs and developer-friendly experiences Experience building APIs and distributed systems, with strong understanding of integration patterns Proficiency in C#, .NET, Java, or similar backend technologies Solid system design fundamentals (scalability, fault tolerance, messaging, reliability) Experience working with cloud platforms (AWS, GCP, or Azure) Hands-on experience with containerization and orchestration (Docker, Kubernetes, or similar) Experience with CI/CD pipelines, Git workflows, and automated testing Experience with microservices architecture Familiarity with observability and monitoring tools (e.g., Datadog, Prometheus) Experience building or supporting external-facing APIs or SaaS platforms Location: This role is primarily remote (U.S.-based), with the expectation of occasional visits to our offices for team collaboration, training, or company events. This role may be based remotely out of the following states: Arizona, California, Colorado, Connecticut, Florida, Georgia, Illinois, Indiana, Kansas, Maryland, Massachusetts, Michigan, Nebraska, New Hampshire, New Jersey, New York, North Carolina, Pennsylvania, Rhode Island, South Carolina, Tennessee, Texas, Virginia, Wisconsin. At Foley, we’re reimagining how safety-sensitive industries hire, stay compliant, and manage risk. We’ve evolved into a modern SaaS company with an all-in-one, AI-ready platform that helps transportation, construction, distribution, and utility businesses operate faster, smarter, and safer. As we continue to grow, we’re looking for curious, strategic thinkers who thrive in complexity, are motivated by making an impact, and want to join a team that’s passionate about building great products and supporting customers. Our core values — Teammateship, Grit, and Innovation — guide everything we do. Whether we’re collaborating internally or helping customers, we approach every challenge with optimism, humor, and a shared commitment to success. Benefits Foley offers a comprehensive benefits package that includes medical, dental, and vision coverage, a 401(k) with company match, paid time off and holidays, wellness programs, and an employee assistance program. Equal Employment Opportunity Foley is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, protected veteran status, or any other legally protected characteristic. Reasonable Accommodations If you require a reasonable accommodation during the application or interview process, please contact us at careers@foley.io Employment Status Employment with Foley is on an at-will basis. Nothing in this job posting or in future communications should be construed as a contract of employment. Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Mission The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. About SIMBA Voice Agents by Speechify SIMBA lets companies deploy natural, human-sounding AI voice agents in 71+ languages with sub-second latency. We're growing fast and need the systems to match — which means building the outbound engine, sales infrastructure, and automation stack that fills pipeline and keeps it moving. About the Role We're hiring our first GTM Engineer for SIMBA. You'll build and own the technical systems that power our outbound motion — from lead enrichment and sequencing to CRM architecture and AI-powered personalization at scale. This is purely an infrastructure and systems role. You'll be the person behind the scenes making sure the right prospects get the right message at the right time, and that the Sales team has the tooling and data to close. If you've built outbound systems from scratch, live inside Clay and Apollo, and measure your work in pipeline influenced — read on. What You'll Do • Build and maintain SIMBA's outbound infrastructure — lead sourcing, enrichment pipelines, scoring models, and sequencing workflows that run at scale, • Own the GTM tech stack end-to-end: CRM (HubSpot/Salesforce), enrichment (Clay, Apollo, Clearbit), sequencing (Outreach, Instantly), and the glue between them, • Deploy AI agents for automated prospect research, personalized outreach generation, and follow-up workflows — reducing manual work for the Sales team, • Instrument the full top-of-funnel: track what's working, cut what isn't, and continuously optimize for meetings booked and pipeline created, • Build integrations and automations via APIs, webhooks, and tools like Zapier/Make to keep data clean and systems in sync, • Evaluate and adopt new AI and GTM tooling rapidly — be the team's resident expert on what's emerging and what's worth building on What We're Looking For • Solid experience in GTM engineering, growth engineering, or RevOps role with a heavy technical lean, • You've personally built outbound systems from scratch — enrichment pipelines, multi-step sequences, lead scoring — not just managed existing ones, • Deep hands-on experience with the modern GTM stack: Clay, Apollo, HubSpot or Salesforce, Outreach or Instantly, Zapier/Make, Webhooks, REST APIs, • You think in funnels and measure everything — pipeline influenced, reply rates, meeting conversion, and cost per opportunity are metrics you track obsessively, • You ship fast, keep things simple, and don't wait for permission Nice to Have • Experience building GTM systems for an AI, voice, or developer-tools product, • Familiarity with contact center, CX, or telephony buyer personas, • Background at a B2C company that also runs a B2B or API sales motion Why Speechify SIMBA Build a product that genuinely impresses prospects — sub-second latency and 71+ languages speaks for itself. You'll have high ownership with direct input on GTM strategy, work alongside a team that stays embedded with customers, and operate in a fast-moving environment where your systems have outsized impact. The United States Salary range for this role is - $105,000–$140,000 base salary. On-target earnings of $150,000–$200,000. Think you’re a good fit for this job? Tell us more about yourself and why you're interested in the role when you apply. And don’t forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit? Refer them! Speechify is committed to a diverse and inclusive workplace. Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

As Marqeta’s Senior Cloud Database Engineer, you will join our Cloud Database Engineering team wherein you will be responsible for all databases that power Marqeta’s card issuing platform. You’ll be at the heart of all things Databases: automating the lifecycle of AWS Aurora instances, working closely with application teams to analyze Database performance and innovating in building Marqeta’s next-generation, highly available and resilient Database solutions. Marqeta’s platform supports high cardholder availability across multiple regions globally, serving over 5 billion transactions annually. The Cloud Database Engineering team operates at the center of everything Marqeta does, and there is endless opportunity to make a sizable impact across your team and the whole business. We work . This role can be performed remotely in the United States, only in one of our National locations, which you can review . • Be part of a 24x7 on-call rotation supporting all services the Database Engineering teams owns, • Contribute to the technical vision for database engineering in maintenance and Cloud migration of the relational and non-relational databases used at Marqeta., • Contribute to the design of high availability and disaster recovery solutions for database architecture, • Work on initiatives including but not limited to platform architecture, database partitioning, sharding, and the continuous evolution of the database footprint to support business growth., • Keep automation as the primary focus and ensure the design is tightly coupled with various automation to reduce manual work, • Work with the engineers from various teams to execute on short- and long-term technical vision., • Work on the root cause analysis, remediation and document efforts to effectively minimize incidents., • Write clear design documents and articulate technical decisions and trade-offs to peers and stakeholders., • Contribute to monitoring and alerting practices using tools like Datadog., • Mentoring junior engineers and contributing to team standards., • 5+ years experience as a backend engineer and a Bachelor's degree. In lieu of a degree, 7+ years of relevant experience may suffice., • Experienced with cloud native databases (AWS preferred), including transactional RDBMS such as Aurora, MySQL, and Postgres, as well as NoSQL databases such as DynamoDB or MongoDB., • Experienced in cloud based high availability, disaster recovery, and distributed systems including replication and failover., • Experienced in IaC, automation and orchestration tools (Terraform, AWS Step Function, etc.)., • Experienced CI/CD — pipelines, job runners, deployment automation, • Solid understanding of database administration: internals, query tuning, indexing, and performance metrics., • Proficient in Python., • Experience with Linux commands and shell scripting, • Experienced in monitoring and observability tools: Datadog preferred, • Strong sense of ownership — you follow through, raise issues proactively, and take accountability for your work., • Curious and committed to continuous learning — you actively keep up with industry trends and apply new knowledge to your work., • You have a team-oriented approach – can effectively work on a project and cross-functionally with other teams., • Logical/physical migrations + blue-green switchovers (current strategic work), • Database fleet management., • AI tooling fluency, • Basics in Java, • Experience with payments or the FinTech space, • Experience with ProxySQL and/or RDS Proxy, • _, • _, • Application Submission, • Recruiter phone call, • Hiring manager video call, • Virtual “Onsite” consisting of 4-5, 45 min calls, • Offer! Marqeta is a Flex First company which allows you to choose your best working environment, whether that be from home or at a company office. To support Flex First, we calibrate pay to a competitive value according to working location. Compensation is aligned according to the below tier within the United States: • National: A baseline tier that applies to most of the geographic territory of the United States.. Visit _ or consult with a Recruiter to determine which tier would be applicable to you. When determining salaries, we consider several factors including, but not limited to, skills, prior experience, and work location. The new-hire base salary range for this position is: • National: 144,100 - 180,100 USD We also believe in recognizing the contributions of our people. That's why we award annual bonuses to eligible employees, rewarding both individual performance and the success of the entire company. Along with monetary compensation, Marqeta offers • Multiple health insurance options, • Flexible time off – take what you need, • Retirement savings program with company contribution and after tax contributions, • Equity in a publicly-traded company and an Employee Stock Purchase Program, • Family-forming benefits, fertility support, and up to 20 weeks of Parental Leave, • Free therapy sessions, financial and professional coaching, and legal advice, • Monthly stipend to support our remote work model, • Annual “development dollars” to support our people growth and development, • Through Flex First, the freedom to live and work wherever you and your family thrive About Marqeta Marqeta is on a mission to change the way money moves. We’re one of the earliest enablers of embedded finance, a market opportunity sized up in the trillions. Our card issuing platform provides unprecedented flexibility and control for companies to issue cards, authorize transactions, and manage payment operations in real time. Marqeta is powering the most well known brands in the new economy (Block, Cash App, Affirm, Instacart, Doordash, Uber, Walmart, etc). You don’t need to be a Payments expert to join the Marqeta Team, let us help you with that. This is the opportunity of a lifetime to work with innovators around the world and unlock equitable financial access for all. Marqeta’s Values – Solve for the Customer: With a deep understanding of our customers' business and empathy for their needs, we deliver products and services that drive their success. Earning and keeping their trust guides everything we do. – Do What's Right: Knowing businesses and livelihoods depend on us, we pursue solutions that disrupt responsibly and deliver high-quality results that our customers count on. We own our work from start to finish. – Simplify and Innovate: We approach challenges with curiosity and take smart risks. Innovation comes from finding better, simpler ways to achieve extraordinary outcomes. – Win as a Team: We succeed together by embracing diverse perspectives and pushing each other to raise the bar. We lead with humility and set aside hierarchy to work as a team. – Make it Count: We drive forward with focus and agility. With a sense of urgency and purpose, we get the job done, and done right. Equal Employment Opportunity, Accommodations and Privacy Marqeta is an equal opportunity employer committed to an inclusive workplace that fosters belonging. We do not discriminate based on race, color, religion, sex (including pregnancy, lactation, childbirth, or related medical conditions), veteran status or uniformed service member status, age, national origin or ancestry, citizenship or immigration status, physical or mental disability, gender identity, gender expression, sexual orientation, genetic information (including testing or characteristics) or any other characteristic protected by applicable law. We also consider qualified applicants with criminal histories, consistent with legal requirements. Marqeta endeavors to make reasonable accommodations for applicants with disabilities. If you are an individual with a disability and require a reasonable accommodation to submit this application, complete any pre-employment testing, or otherwise participate in the employee selection process, please submit _ with your specific accommodation request. Personal data that is provided as part of the application and recruitment process is processed in accordance with the. Additional information for California residents can be found .

Daymark Solutions is an experienced technology integration and solutions provider that helps organizations effectively architect, implement, and deploy customized solutions using best of breed technologies. Specializing in cloud solutions and datacenter technologies, Daymark’s unique combination of in-depth technical knowledge, extensive experience, and proven methodologies enable our customers to successfully address even the most difficult business and technology challenges. The Role We’re looking for an M365 Architect who thrives on solving real business challenges and shaping how modern workplaces operate. As a senior member of our Professional Services team in the Modern Work practice, you’ll lead high-impact discovery and pre-sales engagements—partnering with clients to uncover their needs, define the right solutions, and clearly articulate the value behind them. You don’t just design solutions; you influence decisions. This role is a true blend of pre-sales (50%) and post-sales (50%) consulting, giving you full ownership from the first conversation through successful delivery. You’ll architect, scope, and implement Microsoft 365 solutions while serving as a trusted advisor every step of the way, guiding clients through complex decisions and ensuring outcomes that are both technically sound and business-driven. Responsibilities • Lead technical discovery and pre-sales engagements, translating customer business needs into solution architectures, scope definitions, and compelling value propositions in partnership with the sales team., • Design, configure, and implement cloud and technology solutions while delivering documentation and knowledge transfer to customer stakeholders., • Serve as a trusted advisor throughout the project lifecycle, driving successful deployments, resolving complex technical challenges, and ensuring customer satisfaction and adoption goals are met., • Advise customers on best practices, whether with industry standards or your own recommendations, around Microsoft 365 including tenant configuration, security, integrations, endpoint management, data governance, and Artificial Intelligence., • Contribute to expanding our Microsoft partnership & Modern Work practice through growth in CSP and Professional Services revenue, the development of new technical skills & focus areas, and building relationships with key Microsoft resources., • Participate in knowledge exchanges with coworkers, regularly sharing and receiving knowledge to enhance our Microsoft 365 services, including best practices, implementation strategies, complex architectures., • Collaborate with team members to define and implement/document standards and methodologies for Professional Services engagements., • Learn security and compliance frameworks including but not limited to Cybersecurity Maturity Model Certification (CMMC) 2.0 for Defense Industrial Base customers leveraging Microsoft Azure Government and Microsoft 365 GGC High. Technical Requirements Experience with the Microsoft Partner ecosystem including Solution Partner designations, Advanced Specializations, and how to achieve them. Insight into Microsoft programs and customer funding mechanisms including ECIF. Knowledge and experience with many of the following technologies as possible: Core Microsoft 365 services including Exchange Online, SharePoint Online, Entra ID Microsoft Teams, and OneDrive for Business. Microsoft 365 GCC High in support of regulated environments specifically the Defense Industrial Base. Installation, configuration, and optimization of Entra ID Connect in large complex AD environments. Microsoft Purview, including Information Protection and Rights Management. Microsoft Intune for Mobile and Windows Autopilot, app deployment, device lifecycle, configuration profiles. Microsoft Defender Suite, including Defender for Endpoint, Defender for Cloud Apps, and Defender for Identity. Microsoft 365 Copilot and Copilot Studio. Power Platform, including Power Automate and Copilot Agents. Azure Virtual Desktop and Windows 365 Endpoint management. Quest On Demand Migration tools and/or 3rd party migration solutions. Microsoft Certifications or the ability to achieve them during the first 6-12 months: Microsoft 365 Certified: Administrator Expert (MS-102) Cybersecurity Architect Expert (SC-100) Security Operations Analyst Associate (SC-200) Identity and Access Administrator Associate (SC-300) Information Protection Administrator Associate (SC-401) Azure Administrator Associate (AZ-104) Additional Requirements • A business and technology mindset that can identify ways to grow our org and expand our capabilities., • Proven experience in identifying business challenges and requirements, building and delivering compelling presentations, crafting detailed statements of work, and clearly and concisely conveying solutions to both engineers and C-suite stakeholders., • The ability to lead multiple pre-sales engagements simultaneously and identify ways to drive repeatability and innovation within the team., • Strong organizational skills and the ability to own customer engagements end-to-end, including pre-sales architecture and design, scope and license planning, solution implementation, project management, communication, and documentation., • Strong written and verbal communication skills and the ability to clearly articulate both business and technology topics., • Excellent problem-solving and troubleshooting skills including the ability to manage communications internally and with the customer during challenging situations., • Important: U.S. citizenship is required due to access requirements for Azure Government, Microsoft 365 GCC High, and Defense Industrial Base environments. Preferred Qualifications • Relationships with Microsoft Sales, Technical Specialists, Product Managers, Program Managers, MVPs., • Deep experience with Cybersecurity Maturity Model Certification (CMMC) 2.0, • Deep knowledge of developing advanced PowerShell scripts for automating critical tasks during implementations, migrations and assessments., • The ability to help develop and refine our growing Data & AI practice leveraging your experience with Microsoft Fabric, Microsoft Foundry, Dataverse, and/or Copilot Studio including currently holding or the ability to achieve the following certifications: Azure AI Engineer Associate (AI-102), Azure Data Scientist Associate (DP-100), Azure Data Engineer Associate (DP-203), and/or Azure Database Administrator Associate (DP-300)., • The ability to help build and grow our Microsoft Power Platform practice including currently holding or the ability to achieve any of the following certifications: Power Platform Functional Consultant Associate (PL-200), Power BI Data Analyst Associate (PL-300), Power Platform Developer Associate (PL-400), Power Automate RPA Developer Associate (PL-500), and/or Power Platform Solution Architect Expert (PL-600)., • Any experience with 3rd party solutions that integrate with Microsoft 365 environments including but not limited to Varonis, Okta, Mimecast, Proofpoint, Druva and/or AvePoint., • Experience with any highly regulated environments and the associated frameworks for Banking, Life Sciences, Government, Cyber Security, etc. HR Information Full-time, permanent role Base Salary: $200,000 annually (up to $230,000 in On-Target Earnings) Comprehensive employee benefits plan Fully remote work

TL;DR We're hiring a Leader for our AI / ML / Data Science team (US, California Bay Area or Houston preferred) to build and ship production-grade ML for industrial time-series and multimodal data. You'll spend most of your time hands-on (about 70%) delivering end-to-end solutions with customers, and the rest leading and scaling the data science team (about 30%). Position reports to the CTO and will have two direct reports. The Role We're hiring a Leader for our Data Science (DS) team to deliver production-grade ML for industrial systems using time-series and multimodal data (sensor/SCADA/historian, events, maintenance logs, and images/video where relevant). This is a hands-on role where you'll spend most of your time building and shipping (roughly 70% IC), while also leading and growing the team (roughly 30% people leadership). You'll work closely with customers and domain SMEs, ship models to production,and evolve our concept from “models” to an autonomous decisioning system: forecasting → detection/diagnosis → optimization → closed-loop actions (with safety + governance). A key part of the role is advancing our unique IP in closed-loop autonomous operations. What You’ll Do • Own the end-to-end lifecycle: problem framing → data readiness → modeling → deployment → monitoring → iteration., • Define and execute roadmap areas like anomaly/event detection, asset/process health, root-cause support, optimization, and closed-loop decision support., • Build scalable foundations for baselines, drift detection, model observability, and incident response., • Partner with industrial customers and SMEs to translate real process constraints into ML/optimization/decisioning solutions.Drive unsupervised/self-supervised initiatives (representations, clustering, change-point detection, weak supervision, active learning)., • Develop a practical Reinforcement Learning (RL)/decisioning strategy (offline/safe RL, constrained optimization, simulators/digital twins), with guarded rollout patterns., • Lead and mentor DS talent, set processes, frameworks and quality standards (design/code reviews, documentation, postmortems)., • Build and deploy AI / ML solutions / models in production.Own deployment, monitoring, performance validation, and iteration of models in production, • Identify, document, and progress patentable innovations tied to closed-loop autonomy and production deployment. Qualifications • 8+ years in applied AI / ML technologies, including 2+ years leading teams (hiring, mentorship, performance management)., • Deep experience with time-series ML at scale, ideally with messy industrial data [Ex: Frequency-domain time-series techniques (FFT/spectral analysis) and control/optimization methods (MPC-like approaches)]., • Proven track record of shipping and operating AI / ML solutions in production (MLOps, monitoring, drift, retraining, reliability)., • Strong Python and engineering fundamentals (clean code, testing, production patterns)., • Strong communication, comfortable working directly with customers and cross-functional teams. Bonus Points • Offline/safe RL, constrained optimization, and/or simulators/digital twins., • Self-supervised learning or foundation-model approaches for industrial time-series and multimodal fusion., • Robotics and / or Industrial domain experience (manufacturing, energy, chemicals, mining, utilities), including safety/uptime/latency/edge constraints., • Closed-loop or human-in-the-loop decision systems with governance and guardrails., • Experience contributing to IP strategy, invention disclosures, and patent filings. Out of scope • Owning core product UI/UX design or front-end development., • Acting as the sole data engineer for ingestion/ETL across all customers (you'll partner closely with Engineering/Data Engineering where applicable)., • Running IT/OT infrastructure, sensor hardware selection, or plant networking., • Doing research with no production path, success is measured in deployed outcomes and customer impact., • Being a full-time program manager, you will lead execution, but Delivery/CS/PM functions help run the overall program cadence. What success looks like (first 6–12 months) • Customer impact: Delivered measurable improvements tied to customer KPIs (reduced unplanned downtime, improved yield, increased energy efficiency, lower maintenance cost)., • Product impact: Delivered repeatable, documented DS approach, reusable feature/representation layers, evaluation harnesses, and monitoring dashboards., • Model quality: Improved anomaly precision/recall while reducing false positives, clear reduction in alert fatigue and better operator trust., • Time-to-production: Faster iteration cycles from prototype to deployed, monitored models, predictable delivery and fewer "one-off" solutions., • Production reliability: Strong monitoring, drift detection, and incident response practices in place, with clear ownership and runbooks., • Decisioning roadmap: A concrete, milestone-based plan for unsupervised/self-supervised and RL decisioning (simulation readiness, offline evaluation, gated rollout, safety/governance)., • Team health: A high-performing DS team with clear standards, strong mentorship, and a hiring pipeline to scale responsibly. About Kelvin Kelvin.ai is paving a new path toward the future of industrial control applications. Our next-generation autonomous operations platform delivered as SaaS codifies the best engineering knowledge with the power of artificial intelligence. By combining human intelligence and machine learning, Kelvin delivers results across four pillars of customer value: Production Efficiency, Operational Efficiency and People Efficiency. Equal Opportunity Employer Kelvin is deeply committed to building a diverse and inclusive team. We believe that different backgrounds and life experiences make our team better. We do not discriminate against qualified employees or applicants because of race, color, religion, gender identity, sex, sexual preference, sexual identity, pregnancy, national origin, ancestry, citizenship, age, marital status, physical disability, mental disability, medical condition, military status, or any other characteristic protected by local law or ordinance.

Location: US- Remote Compensation: We feel passionately about transparency in compensation. Total compensation for this role is market competitive, offering a base salary range of $90,000–$130,000, with an annual target bonus. Snappy is looking for a Business Systems Engineer to join our IT Team. In this role, you will own, optimize, and integrate a growing portfolio of business applications—including Salesforce, Ironclad, Outreach, Gong, ChurnZero, OwnBackup, and Harmony AI—while partnering cross-functionally with Sales, Customer Success, Legal, and Revenue Operations stakeholders to translate business needs into scalable technical solutions. Work cross-functionally with key stakeholders to design and implement applications and Salesforce solutions that support the organization's goals. Be responsible for designing, coding, implementing, maintaining, and evolving applications, Salesforce solutions, and integrations. Be responsible for reviewing the architecture, design, code, and providing approval. Implement and maintain Internet and intranet applications using Salesforce Sites, _, Marketing, Service Cloud, Sales Cloud. Be responsible for assisting with requirements gathering and analysis, business process modeling, workflow development, tool customization, and Salesforce upgrades. Be responsible for assisting with maintenance and documentation. Manage day-to-day development processes such as version control, code deployments, and process management. Create and manage custom code, custom objects, fields, formulas, validation rules, custom workflow, and approval processes. Hands-on experience with workflows and flows. Develop and document regression, use case, and unit testing scenarios. Identify opportunities to utilize Salesforce to improve processes and productivity and make recommendations to support service offerings. Ability to perform a variety of both complex and routine technical, analytical, and administrative duties in a high-paced environment. This role will involve maintaining and optimizing a diverse set of business systems, including: CRM & Sales Engagement: Salesforce, Outreach, Gong, Churnzero Legal/Contract Management: Ironclad Data/Backup: Ownbackup Ticketing/Support: Harmony AI Experimentation: Willingness to explore and experiment with tools like Hubbl and Swantide for business systems automation and integration. Possess experience with Artificial Intelligence (AI) concepts and be willing to actively experiment with AI-driven solutions to enhance business systems efficiency and user experience. Proactively identify and propose areas where AI/automation can be leveraged to streamline workflows. Proven experience as a Salesforce Developer or Business Systems Analyst/Engineer. Strong understanding of the Salesforce platform, including configuration and custom development (Apex, Visualforce, Lightning Web Components). Experience with system integrations and API management. Excellent communication, interpersonal, and customer service skills. Demonstrated ability to be a 'go-getter,' take initiative, and work independently. Willingness to train and adapt quickly to new technologies and business processes on the fly. Experience with Hubbl, Swantide, or similar Salesforce intelligence / DevOps platforms. Knowledge of Salesforce CPQ, Einstein Analytics, or Agentforce. Background in revenue operations, sales operations, or customer success operations. Experience with CI/CD pipelines for Salesforce (e.g., Copado, Gearset, or SFDX). Comfort working in a fast-paced, high-growth environment where priorities shift and adaptability is key. Snappy is the award-winning, all-in-one gifting company that spreads joy, shares gratitude, and takes the guesswork out of gifting. Founded in 2015, Snappy was named one of Inc.’s in the Northeast in 2021, 2022, and 2023. Snappy is the trusted gifting and swag partner to over 43% of Fortune 100 companies as well as thousands of individuals who use Snappy for. Snappy has sent more than five million gifts worldwide. Snappy thrives on connecting people and cultivating meaningful relationships through the power of gratitude and gifting. Our recipient-picks experience ensures gift-givers send the perfect gift every time, for everyone, on every occasion.Snappy has been featured on Fortune’s "Best Small & Medium Workplaces," “Best Workplace for Millennials,” and “Best Workplace in Tech” lists. We've seen firsthand that our unique product and brand experience boosts employee morale, improves performance, and (most importantly!) spreads joy, so, of course, we practice what we preach! Here at Snappy, we believe wholeheartedly in building a culture of appreciation, dedication, and fun. We offer benefits and perks to our employees including but not limited to: Free healthcare, including vision and dental, generous 401k match, flexible PTO, paid family leave, Snappy Summer Fridays (which we enjoy year-round!) and Snappy gifts for employee recognition and appreciation. Snappy's stance on diversity, equity and inclusion, its active focus on give-back programs, and its fundamental mission to spread joy through the power of gifting all lead the way in unlocking the power of human kindness at work. Information collected and processed as part of your Snappy hiring process, including as part of your Snappy career profile and in any job applications you choose to submit, is subject to_

Job Description About the Role Fabuwood is looking for a detail-oriented R&D Engineer to join our Product Development team. This role is focused on researching concepts, creating drawings and documentation, and supporting structured execution throughout the R&D and NPI process. You will work closely with senior R&D members, Product Development, and Implementation teams to move ideas from early exploration into clear, validated, launch-ready solutions. This position blends technical research, documentation, CAD work, and project ownership, with some hands-on prototyping as needed. It is ideal for someone who is more computer- and systems-focused, but still comfortable supporting physical testing and validation when required. What You’ll Do Research and Concept Development • Research solutions, industry standards, and best practices using online and technical resources., • Explore and document design concepts, construction methods, and alternative approaches., • Evaluate options and tradeoffs to support R&D decision-making. Documentation and Drawings (Primary Focus) • Create and maintain CAD drawings, 3D models, and technical documentation., • Document concepts, prototypes, testing results, decisions, and best practices., • Translate R&D ideas into clear, structured documentation for downstream teams., • Maintain organized records to support repeatability, scale, and future improvements., • Ensure drawings and documentation are accurate, clear, and ready for manufacturing and implementation. R&D Support and Prototyping • Support physical prototyping and testing when needed., • Assist with A/B comparisons, validation, and iterative improvements., • Collaborate with R&D on feasibility, materials, and construction methods., • Provide technical support to hands-on R&D efforts without being shop-based full time. Project Management and Execution • Own R&D workstreams from concept through handoff to implementation., • Help define scope, priorities, timelines, and dependencies for R&D initiatives., • Coordinate with cross-functional teams (Product, Manufacturing, Engineering, Operations)., • Track progress, identify risks, and help resolve blockers early., • Support smooth transitions from R&D into NPI and go-live phases. What You Bring • Strong documentation, drawing, and organizational skills., • Working knowledge of CAD and 3D tools., • Familiarity with Cabinet Vision, 2020 or similar cabinetry/design software., • Experience researching technical solutions and best practices., • Ability to manage multiple workstreams while maintaining attention to detail., • General understanding of cabinetry, construction, or manufacturing processes., • Comfortable working in a fast-paced, evolving environment., • Clear communicator who works well with both technical and non-technical teams. Preferred Experience • Experience in R&D, Product Development, or Engineering roles., • Exposure to New Product Introduction (NPI) or product launch processes., • Background in cabinetry, construction, manufacturing, or related industries., • Experience supporting project timelines, priorities, and cross-functional work. Who You Are • Organized, methodical, and dependable., • Strong at turning ideas into clear documentation and drawings., • Comfortable working primarily on a computer, with occasional hands-on support., • A clear communicator who collaborates well across teams., • Calm under pressure and adaptable as priorities change., • Curious, resourceful, and motivated by solving practical problems. About Fabuwood At Fabuwood Cabinetry, we believe that beautiful, well-crafted kitchens should be accessible to everyone. As one of the largest cabinet manufacturers in the U.S., we combine innovation, efficiency, and craftsmanship to deliver exceptional products and experiences. Our culture is built on our five core values - Power of We, Positivity, 100 MPH, Own It, and Embrace Challenges - which guide how we work, grow, and support one another every day. We stand apart through our three uniques - Speed, Technology, and Quality - enabling us to move quickly, leverage modern tools, and maintain high standards across everything we build. Within this culture, the Product Development and R&D team plays a critical role in shaping the future of our products. From early research and concept development to clear documentation and execution, this team turns ideas into cabinetry that sets the industry standard. At Fabuwood, we are not just building cabinets - we are building innovation, together.