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Location: Remote - United States Innodata (Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale. We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers. Scope of the Role: Video is where multimodal models are weakest and hardest to grade. Temporal reasoning, long-form understanding, grounding events in time, and holding audio, video, and text together do not fall out of image benchmarks — and the evaluations for them are still immature. Closing that gap is gated as much by how we design data and evaluation as by architecture. Innodata builds that data and those evaluations for the customers and frontier labs advancing video and multimodal models, and we are hiring a Research Scientist to own the science behind it. You will partner directly with the customers and frontier labs building video understanding, video-language, and video-generation models, as interested in the data behind them as in the models themselves. Video spans two model families judged in completely different ways: models that understand video — answering questions, localizing events, grounding language in time — where the question is whether the answer is correct; and models that generate it, where fidelity, temporal coherence, and physical plausibility matter and no automatic metric is settled. You own the evaluation science for both, and knowing when model-based scoring can stand in for a human versus when it can't. Your conclusions shape what our partners measure and collect next. What You’ll Own: You will define how Innodata designs, structures, and evaluates video data for video and multimodal models, and you will validate those choices experimentally. Concretely, you will: Translate the requirements of video and multimodal models — video understanding, temporal and event localization, action recognition, long-form video, video-language models, video generation, cross-modal reasoning, and multimodal retrieval and grounding — into concrete data specifications: modalities, annotation schemas, sampling, and evaluation criteria. Build evaluation methodology for video understanding — temporal grounding accuracy, long-context and long-horizon reasoning, and dynamic multi-turn, cross-modal, and retrieval-and-grounding evaluation — clear about when model-based scoring is trustworthy and when a human is needed. Build evaluation methodology for video generation — fidelity, temporal coherence, and physical plausibility, including generative video used as a world model — the regime where automatic metrics are weakest and human judgment matters most. Decide how existing and incoming video should be structured, enriched, and sampled to extract the most model value from it, including from messy, domain-specific footage. Run experiments that prove data decisions matter: fine-tune and evaluate models on Innodata data, with ablations tying specific data choices to measurable improvement. Design adversarial and stumping evaluations that surface where video and multimodal systems fail, and turn those failures into better data. Publish. Turn what you learn into benchmarks, methodology, and papers that advance the field and earn the trust of the customers and frontier labs we partner with. Work with annotation teams, subject-matter experts, and the synthetic-data pipeline to turn specifications into operational collection and labeling plans. You’ll Thrive in This Role If You Have: Roughly 5+ years of hands-on industry experience in video understanding or multimodal ML. We weight practical experience over formal credentials; a PhD with a compelling, current research agenda can offset the lower end. A Bachelor's degree in computer science, electrical engineering, or a related technical or quantitative field is required; an advanced degree (MS or PhD) in a relevant field is preferred. Trained and evaluated video or multimodal models yourself, with strong PyTorch fundamentals. Fluency in the formats and tooling video work runs on: ffmpeg and decord pipelines, temporal and COCO-style annotation, WebDataset, Parquet and Arrow, and HuggingFace datasets. Experience fine-tuning large video or vision-language models with the modern toolchain (HuggingFace transformers, PEFT, efficient inference), and with long-form video, streaming, temporal segmentation, or synthetic video generation. A way of thinking in datasets and benchmarks: you have built evaluation sets, calibrated difficulty, and argued about what makes video data good for a given objective. A track record the field recognizes: first-author publications or strong open-source contributions at venues such as CVPR, ICCV, ECCV, NeurIPS, or ICLR. The ability to work directly with the research scientists at the customers and frontier labs we partner with, and to explain data and modeling decisions clearly to both expert and non-expert audiences, backed by a rigorous, reproducible approach to experiments and documentation. Bonus: interest or hands-on experience in responsible-AI evaluation and red-teaming — safety and robustness testing for video and multimodal systems. The expected salary range for this position is $160,000 - $185,000 p/year, based on experience, skills, and qualifications. Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at https://consumer.ftc.gov/articles/job-scams. If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at verifyjoboffer@innodata.com and consider reporting it to the FTC at ReportFraud.ftc.gov .

Location: Remote - United States Innodata (Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale. We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers. Scope of the Role: Where models actually differ now is robustness across accents, noise, and code-switching; speaker diarization; the naturalness of generated speech; and latency under streaming. Measuring those honestly, and building the data that trains for them, is gated as much by data and evaluation design as by architecture. Innodata builds that data and those evaluations for the customers and frontier labs advancing speech and audio models, and we are hiring a Research Scientist to own the science behind it. You will partner directly with the customers and frontier labs building ASR, text-to-speech, speech-to-speech and conversational voice, diarization, and audio-language models, as interested in the data behind them as in the models themselves. Your work is judgment: which conditions and languages a benchmark must cover to be honest, what a transcription convention should be for a given objective, and when an automated metric can be trusted versus when a human ear is required. You will also partner closely with our transcription and linguistics lead, whose standards directly shape what the models learn. What You’ll Own: You will define how Innodata designs, structures, and evaluates audio data for speech and audio models, and you will validate those choices experimentally. Concretely, you will: Translate the requirements of speech and audio models — ASR, text-to-speech and speech generation, speech-to-speech and conversational voice, speaker diarization and verification, audio-language models, and streaming systems — into concrete data specifications: modalities, transcription and annotation schemas, sampling, and evaluation criteria. Build evaluation methodology that goes past word error rate — semantic accuracy, robustness to noise and accent, code-switching, diarization error rate (DER), naturalness and intelligibility of generated speech, and streaming latency — and know when automated metrics hold and when they don't. Decide how existing and incoming audio should be structured, enriched, and sampled for coverage that fits the model objective — across languages, accents, and acoustic conditions (studio, real-world, telephonic), speaker demographics, emotional and paralinguistic range, scripted versus spontaneous speech, and single- versus multi-speaker settings, including low-resource and code-switched speech. Partner with the transcription and linguistics lead to turn model objectives into transcription specifications, and to quantify how transcription conventions and quality move ASR and speech-model results. Partner with the audio solutions and engineering team so the audio we collect is built for the model objective: you specify what good data and evaluation require, and they scope programs with customers and capture audio to spec. Run experiments that prove data decisions matter: fine-tune and evaluate models on Innodata data, with ablations tying specific data choices to measurable improvement. Design adversarial and stumping evaluations — noisy, accented, and adversarial audio — that surface where speech systems fail, and turn those failures into better data. Publish. Turn what you learn into benchmarks, methodology, and papers that advance the field and earn the trust of the customers and frontier labs we partner with. Work with annotation teams, subject-matter experts, and the synthetic- and augmented-audio pipeline to turn specifications into operational plans. You’ll Thrive in This Role If You Have: Roughly 5+ years of hands-on industry experience in speech or audio ML. We weight practical experience over formal credentials; a PhD with a compelling, current research agenda can offset the lower end. A Bachelor's degree in computer science, electrical engineering, or a related technical or quantitative field is required; an advanced degree (MS or PhD) in a relevant field is preferred. Trained and evaluated speech or audio models yourself — ASR, TTS, speech-to-speech, speaker, or audio-language models — with strong PyTorch fundamentals. Fluency in the toolchains and metrics speech work runs on: ESPnet, NeMo, SpeechBrain, or Kaldi, HuggingFace, forced alignment, and WER/CER and the metrics that go beyond them. Hands-on experience with multilingual, accented, dialectal, low-resource, or code-switched speech, and with synthetic or augmented audio (TTS pipelines, noise and room-response simulation). A way of thinking in datasets: you have built evaluation sets, reasoned about coverage across conditions, and argued about what makes speech data good for a given objective. A track record the field recognizes: first-author publications or strong open-source contributions at venues such as Interspeech, ICASSP, ASRU, SLT, or NeurIPS. The ability to work directly with the research scientists at the customers and frontier labs we partner with, and to explain data and modeling decisions clearly to both expert and non-expert audiences, backed by a rigorous, reproducible approach to experiments and documentation. Bonus: interest or hands-on experience in responsible-AI evaluation and red-teaming — for example spoofing and voice-cloning robustness, or bias across accents and languages. The expected salary range for this position is $160,000 - $185,000 p/year, based on experience, skills, and qualifications. Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at https://consumer.ftc.gov/articles/job-scams. If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at verifyjoboffer@innodata.com and consider reporting it to the FTC at ReportFraud.ftc.gov .

Location: Remote - United States Innodata (Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale. We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers. Scope of the Role: Progress in physical AI is gated as much by data design as by model architecture. The best manipulation and locomotion policies, vision-language-action models, and world models are only as good as the trajectories, demonstrations, and environments they learn from — so the highest-leverage decisions are made long before a model trains: what to capture, what to synthesize, how to represent an action, and how to know whether any of it will transfer to a real robot. Innodata is building the data and evaluation practice behind the next generation of robotics foundation models, in direct partnership with the customers and frontier labs defining that frontier. We are hiring a Research Scientist to own the science of that data. You will partner directly with the customers and frontier labs building robot foundation models, as interested in the data those models learn from as in the models themselves. Your leverage is scientific judgment about data: deciding what is worth capturing in the real world versus generating in simulation, how to weight a training mix across embodiments and sensors, and how to measure whether a policy will hold up outside the lab. Your conclusions will shape what our partners collect next. What You’ll Own: You will define how Innodata designs, structures, and evaluates data for robot foundation models, and you will validate those choices experimentally. Concretely, you will: Translate the requirements of robotics foundation models — vision-language-action models, world models, and manipulation and locomotion policies — into concrete data specifications: modalities, action representations (tokenization, chunking, diffusion and flow-matching action experts), sampling, annotation schemas, and evaluation criteria. Decide what is worth capturing in the real world versus generating in simulation, and curate and weight training mixes across heterogeneous robot datasets that span different embodiments, action spaces, and sensor setups. Guide collection across capture modalities — motion capture, egocentric, exocentric, teleoperation, and multi-sensor — and across synthetic pipelines, so that what we produce maps cleanly to model needs rather than accumulating for its own sake. Build evaluation and benchmarking methodology that predicts real-world transfer — coverage, discriminative power, reliability, and sim-to-real fidelity — including world-model evaluation (rollout quality and action-conditioned prediction) and the domain-randomization and system-identification choices that close the sim-to-real gap. Run the experiments that prove it: fine-tune and evaluate foundation models on Innodata data, with data-quality ablations and scaling studies that demonstrate specific data decisions produce measurable model improvement. Design adversarial and long-horizon evaluations that surface where policies and world models break, and turn those failure modes into better data. Publish. Turn what you learn into benchmarks, methodology, and papers that advance the field and earn the trust of the customers and frontier labs we partner with. Collaborate with the capture lab, annotation teams, and the synthetic-data pipeline to turn specifications into operational collection and labeling plans. You’ll Thrive in This Role If You Have: Roughly 4+ years of hands-on industry experience in robot learning or robotics ML. We weight practical experience over formal credentials; because the field is young, a PhD with a compelling, current research agenda can offset the lower end, and we will also consider very senior candidates with the right background. A Bachelor's degree in computer science, electrical engineering, robotics, or a related technical field is required; an advanced degree (MS or PhD) in a relevant field is preferred. Trained and evaluated robot policies yourself — manipulation or locomotion via imitation learning or reinforcement learning — with strong PyTorch fundamentals. You build and measure models, you don't just call them. A way of thinking in datasets: you have curated, filtered, and weighted robot data across embodiments and sensors, and you have real opinions about what makes it good for a given objective. Fluency in robotics data formats and standards — the LeRobot dataset format, RLDS, and Open X-Embodiment — along with common motion and sensor formats. Hands-on experience with simulation and synthetic data — NVIDIA Isaac Sim, Isaac Lab, and Omniverse, or MuJoCo and comparable engines — including domain randomization, system identification, and sim-to-real transfer. Experience with teleoperation or egocentric data collection, and comfort adapting VLM backbones for control and fine-tuning large VLA models with the modern toolchain (HuggingFace transformers, PEFT). A track record the field recognizes: first-author publications or strong open-source contributions at venues such as CoRL, ICRA, IROS, RSS, or NeurIPS. The ability to work directly with the research scientists at the customers and frontier labs we partner with, and to explain data and modeling decisions clearly to both expert and non-expert audiences, backed by a rigorous, reproducible approach to experiments and documentation. Bonus: interest or hands-on experience in responsible-AI evaluation and red-teaming for embodied systems, for example safety and robustness testing. The expected salary range for this position is $160,000 - $185,000 p/year, based on experience, skills, and qualifications. Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at https://consumer.ftc.gov/articles/job-scams. If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at verifyjoboffer@innodata.com and consider reporting it to the FTC at ReportFraud.ftc.gov .

Location: Remote - United States Innodata (Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale. We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers. Scope of the Role: As speech and audio models get better, the human role gets harder, not easier — it moves from producing transcripts to defining what a correct one is, adjudicating the cases models still get wrong, and designing the human-in-the-loop workflows that keep improving them. Innodata runs high-volume segmentation and transcription workflows for the customers and frontier labs building these models, and we are hiring a principal-level linguist to own the linguistic standards and quality behind that work — today, and as the workflows evolve alongside the models over the next two years. This is the applied-expert counterpart to our Speech & Audio Research Scientist. You set the standards the models are trained and measured against, and you understand the big picture: how different transcription and segmentation methods change what a model learns, and how that ripples into the speech and content-understanding systems our partners are building. You know the research and you know the tools — from IPA and acoustic analysis to forced alignment and the ASR engines our partners benchmark against — but your leverage is linguistic judgment and standard-setting at scale, not building models yourself. What You’ll Own: You will own the linguistic foundation of Innodata's segmentation and transcription work across languages, domains, and use cases. Concretely, you will: Define transcription and segmentation standards, style guides, and annotation conventions — verbatim and clean/intelligent verbatim, IPA and phonetic transcription, timestamping and boundary segmentation, speaker labeling and diarization labels, disfluencies and non-speech events, code-switching, and orthographic conventions. Establish and run the quality frameworks behind that work: rubrics, error taxonomies, adjudication processes, inter-annotator agreement, and human QA at scale. Own the quality lifecycle for transcription and segmentation deliverables end to end — pre-processing and normalization of incoming data, quality checks at the point of acceptance, post-processing and pre-delivery validation against spec, and report creation and packaging for delivery — partnering with delivery operations on execution at scale. Design the human-in-the-loop workflows themselves — deciding where human review, correction, and adjudication add the most value as ASR quality rises, so our experts spend their time on what the models still can't do rather than on what they already can. Handle the linguistically hard cases models fail on — accented and dialectal speech, low-resource and multilingual audio, overlapping speech, domain jargon (medical, legal, technical), and noisy acoustic conditions. Partner with the Speech & Audio Research Scientist to turn model objectives into transcription and segmentation specifications, and to work out how different transcription methods — verbatim versus clean, phonetic versus orthographic, and how audio is segmented and labeled — affect the training and evaluation of ASR, TTS, and speech and content-understanding models. Train, calibrate, and mentor expert transcribers and reviewers, and build the onboarding and calibration that keep quality consistent as the work scales. Represent Innodata's transcription and segmentation approach to the customers and frontier labs we partner with, and contribute to the methodology and best-practice documentation that make our work legible to their teams. You’ll Thrive in This Role If You Have: Substantial industry experience (typically 8+ years) in transcription, segmentation, and speech-data quality — enough that you have authored standards, not only followed them. This is a principal-level role, and we weight practical depth heavily. A Bachelor's degree in linguistics, phonetics, or computational linguistics, or a closely related field, is required — with a strong foundation in phonetics, phonology, and sociolinguistics so that IPA, prosody, disfluency, dialect, and register are native concepts. An advanced degree is preferred. A big-picture grasp of how transcription and segmentation choices flow downstream into modeling — how different methods change what speech and content-understanding models learn, and therefore which method fits which modeling objective. You can explain to a model builder why a transcription decision matters. Fluency in phonetic transcription and IPA, plus hands-on experience with acoustic and phonetic analysis of speech — spectrograms, formants, pitch and prosody, and segment boundaries — applied to real, messy speech data at scale (for example in Praat). Deep experience with audio segmentation and its conventions — utterance and turn boundaries, timestamping, and speaker and diarization labeling — across real-world audio. Hands-on fluency with the modern speech stack: Whisper and the commercial ASR engines your partners benchmark against (such as AssemblyAI, Deepgram, Rev, and Speechmatics), forced alignment (for example the Montreal Forced Aligner), and annotation tools such as ELAN. Comfort scripting for speech-data work — Python for batch processing, QA, and metrics such as inter-annotator agreement and WER, plus regular expressions and Praat scripting — enough to work fluently with data and pipelines without needing an engineer for every task. Practical data-management skills across the delivery lifecycle — pre-processing, acceptance-stage quality checks, post-processing, pre-delivery validation, and report creation and packaging — so deliverables leave the door correct, consistent, and well documented. Multilingual capability and hands-on experience with accented, dialectal, and code-switched speech; low-resource languages a strong plus. A point of view on how human-in-the-loop workflows should evolve as models improve — where humans stay in the loop, where they move up to adjudication and standard-setting, and how to measure the difference. Strong written and verbal communication, comfortable working directly with research scientists and interfacing with the customers and frontier labs we partner with. Bonus: responsible-AI considerations for speech, such as bias across accents and dialects and privacy and consent in voice data. The expected salary range for this position is $160,000 - $185,000 p/year, based on experience, skills, and qualifications. Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at https://consumer.ftc.gov/articles/job-scams. If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at verifyjoboffer@innodata.com and consider reporting it to the FTC at ReportFraud.ftc.gov .

Location: Field - USA At Counterpart Health, we are transforming healthcare and improving patient care with our innovative primary care tool, Counterpart Assistant. By supporting Primary Care Physicians (PCPs), we are able to deliver improved outcomes to our patients at a lower cost through early diagnosis and longitudinal care management of chronic conditions. The Senior Manager of Operations, Provider Success (Southeast Region) is the regional leader accountable for executing Counterpart’s national provider success strategy across the South region. This role owns provider relationships, team performance, and market-level outcomes , ensuring national standards are delivered effectively while adapting execution to local market dynamics. This role owns results in-region and serves as the primary escalation point for market-specific provider needs. As a Senior Manager, Provider Success (Southeast), you will: Execute Provider Success Strategy Execute the national provider success strategy to achieve regional performance goals. Own regional outcomes, including provider satisfaction, engagement, retention, and issue resolution. Drive increased adoption and sustained use of Counterpart Assistant across assigned markets. Apply national playbooks and workflows while tailoring execution to local provider and market needs. Lead Regional Teams and Provider Relationships Lead, coach, and develop regional provider success teams, including Regional Directors of Operations and Account Managers. Build and maintain executive-level relationships with key provider partners. Coach teams to define account-level tactics, prioritize daily work, and deliver against regional goals. Own regional staffing, prioritization, and resource allocation decisions. Drive Market Execution & Feedback Identify workflow, implementation, and operational barriers unique to individual practices or markets. Develop and execute local tactics to remove blockers and improve provider experience. Monitor regional performance trends, risks, and opportunities. Escalate systemic issues and insights to national leadership for enterprise-level resolution. Partner with regional Clinical, Network, Growth, and Operations leaders to ensure coordinated execution. Success in this role looks like: Strong provider relationships and measurable improvements in provider satisfaction across the region. Consistent execution of national provider success standards with effective local adaptation. Increased adoption and value realization of Counterpart Assistant in regional markets. High-performing, well-coached regional teams with clear priorities and accountability. Timely identification and resolution of market-specific barriers impacting provider success. You should get in touch if: You have a Bachelor’s degree in Healthcare Administration, Business, Public Health, or related field (Master’s preferred). You have 8–10+ years of progressive experience in healthcare operations, provider operations, or value-based care programs. You have 4+ years experience in Medicare Advantage, ACOs, or other risk-bearing health plan models. You demonstrated experience defining and guiding account-level strategy for provider-facing or field-based teams. You have strong experience in operational design, process improvement, and change management. You have proven experience leading and influencing both direct and indirect teams. You have experience working with and influencing Primary Care providers. You must reside in Alabama, North Florida, Tennessee, Mississippi or West Virginia Preferred Qualifications Experience supporting multi-state provider operations. Strong analytical skills to guide market-level decisions. Experience partnering with technology or product teams on tools supporting field execution. Benefits Overview : Financial Well-Being : Our commitment to attracting and retaining top talent begins with a competitive base salary and equity opportunities. Additionally, we offer a performance-based bonus program, 401k matching, and regular compensation reviews to recognize and reward exceptional contributions. Physical Well-Being : We prioritize the health and well-being of our employees and their families by providing comprehensive medical, dental, and vision coverage. Your health matters to us, and we invest in ensuring you have access to quality healthcare. Mental Well-Being : We understand the importance of mental health in fostering productivity and maintaining work-life balance. To support this, we offer initiatives such as No-Meeting Fridays, monthly company holidays, access to mental health resources, and a generous flexible time-off policy. Additionally, we embrace a remote-first culture that supports collaboration and flexibility, allowing our team members to thrive from any location. Professional Development : Developing internal talent is a priority for Clover. We offer learning programs, mentorship, professional development funding, and regular performance feedback and reviews. Additional Perks: Employee Stock Purchase Plan (ESPP) offering discounted equity opportunities Reimbursement for office setup expenses Monthly cell phone & internet stipend Remote-first culture, enabling collaboration with global teams Paid parental leave for all new parents And much more! About Counterpart Health: In 2018, Clover Health set out to do something unprecedented: build a clinically intuitive, AI-enabled solution that fits within physicians' workflows to help support the earlier diagnosis and management of chronic conditions. Years later, that vision is a reality, with thousands of practitioners using Counterpart Assistant during patient visits to improve disease management, reduce medical expenses, and drive success in value-based care. With an exceptional team of value-based care and technology experts, Counterpart Health is driving value-based care at the speed of software. Counterpart Health is a subsidiary of Clover Health. From Clover’s inception, Diversity & Inclusion have always been key to our success. We are an Equal Opportunity Employer and our employees are people with different strengths, experiences, perspectives, opinions, and backgrounds, who share a passion for improving people's lives. Diversity not only includes race and gender identity, but also age, disability status, veteran status, sexual orientation, religion and many other parts of one’s identity. All of our employee’s points of view are key to our success, and inclusion is everyone's responsibility. #LI-REMOTE Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. We are an E-Verify company. Final pay is based on several factors including but not limited to internal equity, market data, and the applicant’s education, work experience, certifications, etc. A reasonable estimate of the base salary range for this role is: $146,200 — $190,000 USD

Location: Los Angeles, USA Technical Product Managers combine deep technical knowledge and experience with product leadership capabilities which are needed to enable Riot Games to deliver key products and experiences to make it better to be a player. You will develop and execute strategies on Riot's products and technologies while leading diverse teams to deliver creative solutions to our most difficult technical and experiential challenges. As a Principal Technical Product Manager for VALORANT Foundations, reporting to the Director of Technical Product Management for VALORANT, you’ll identify and lead the highest-impact opportunities across the platforms that make the game predictable to build, release and operate worldwide. Foundations serves VALORANT’s engineers, artists and designers through build and release pipelines, developer tools and workflows, engine capabilities and core backend services. Working with engineering leads, game teams and central technology partners, you’ll bring independent product judgment to ambiguous problems, build support for a clear direction, and lead delivery across teams without direct authority. Your success will be measured in faster development workflows, more predictable releases, and platforms that let VALORANT grow sustainably. Responsibilities: Define and align product strategy for critical, cross-cutting platform areas, prioritizing outcomes that create measurable value for developers and players Bring strategic structure and clarity to Foundations' hardest, most ambiguous initiatives so they're set up for long-term success Lead cross-functional teams through influence, bridging engineering reality and product requirements, and driving decisions to closure across the groups that own build and release pipelines, the developer inner loop and editor, engine capabilities, and core backend services, all without direct authority Serve as a strategic proxy for Foundations leadership, stepping in with autonomy to own high-stakes opportunities end to end Partner deeply with engineering leads to ensure platform solutions are robust, scalable, and seamlessly integrated into developer workflows Broker across the seam with central tech team partners, representing VALORANT's needs into shared platforms and negotiating what's owned where Translate empathy for internal developers into infrastructure and tooling that solves genuine pain points; champion data-informed decisions Champion AI-augmented ways of working: bring agentic tooling into the PM craft to compress cycle time and model what modern product management looks like for Foundations Required Qualifications: 8+ years of relevant experience in Technical Product Management or a related engineering/technical field Familiarity with the game development lifecycle: engines, art/build toolchains, live-ops workflows Proven ability to operate at a Principal level, navigating organizational complexity to drive outcomes without direct authority Strong technical background (CS degree or equivalent experience) sufficient to credibly debate tradeoffs with engineering leads Experience translating open-ended or ambiguous technical capabilities into concrete product roadmaps with defined milestones and success metrics Track record owning platform, developer-tools, or systems products with internal customers Experience integrating agentic AI tooling into the product-management craft, using agents to shorten the loop from insight to execution Desired Qualifications: Experience with developer experience / platform-as-a-product domains, including internal platforms, SDKs, or CI/CD tooling Experience operating across the studio/central-tech boundary, or in a shared-infrastructure org serving multiple teams Hands-on familiarity with Unreal Engine and the Unreal Editor, VALORANT's engine and the primary environment its developers work in For this role, you'll find success through craft expertise, a collaborative spirit, and decision-making that prioritizes the delight of players. We will be looking at your past studies, experience, and your personal relationship with games. If you embody player empathy and care about players' experiences, this could be your role! Our Perks: Riot focuses on work/life balance, shown by our open paid time off policy and other perks such as flexible work schedules. We offer medical, dental, and life insurance, parental leave for you, your spouse/domestic partner, and children, and a 401k with company match. Check out our benefits pages for more information. At Riot Games, we put players first . That mission drives every decision in our quest to create games and experiences that make it better to be a player. Whether you’re working directly on a new player-facing experience or you’re supporting the company as a whole, everyone at Riot is part of our mission. And just like in our games, we’re better when we work together. Our goal is to create collaborative teams where you are empowered to bring your unique perspective everyday. If that sounds like the kind of place you want to work, we’re looking forward to your application. It’s our policy to provide equal employment opportunity for all applicants and members of Riot Games, Inc. Riot Games makes reasonable accommodations for handicapped and disabled Rioters and does not unlawfully discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, handicap, veteran status, marital status, criminal history, or any other category protected by applicable federal and state law. We consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with applicable federal, state and local law, including the California Fair Chance Act, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, and the Washington Fair Chance Act. Per the Los Angeles County Fair Chance Ordinance, the following core duties may create a basis for disqualifying candidates with relevant criminal histories: Safeguarding confidential and sensitive Company data Communication with others, including Rioters and third parties such as vendors, and/or players, including minors Accessing Company assets, secure digital systems, and networks Ensuring a safe interactive environment for players and other Rioters These duties are directly related to essential operations, safety, trust, and compliance obligations within our organization. Please note that job duties may evolve based on business needs and additional responsibilities may be assigned as necessary to maintain operational efficiency and security.

Location: Halifax Workplace: Remote WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Why this role? In this role, you will have ownership of the full sales cycle - from identifying leads to closing deals with Global 2000, large enterprises within Eastern Canada. We’re looking for an approachable and compelling communicator who loves working with prospects to uncover their needs and feels comfortable developing tailored value propositions around how Cohere’s platform can help them achieve their business goals. You’ll lay the foundation for Cohere’s growth by owning your territory and collaborating with teammates across customer success, sales development, marketing, and solution architecture. You’ll be the voice of the field and help our product and engineering teams prioritize the Cohere roadmap with customer-centric care. It’s a highly self-directed role, so you should be someone who thrives in an unstructured and quickly evolving environment. And your opportunity for impact will be astronomical — Cohere has skies-the-limit potential, and you’ll help us reach it.   As an Account Executive you will: - Focus on net-new logo acquisition via outbound activity and relationship building with key stakeholders while also bringing a strong network of key decision-maker and influencer contacts to drive strategic partnerships and win sales opportunities - Work closely with customers and prospects as a consultative, trusted advisor who deeply understands their challenges and goals, their technology ecosystem, and will tailor solutions to drive measurable impact for their businesses - Work in close partnership with channel partners to find opportunities to scale outreach and customer satisfaction in your region - Collaborate with product and engineering teams as well as customer success on strategic motions to deliver solutions to large enterprise customers - Collaborate with Sales Development Representatives to drive top of funnel activity - Own the full sales cycle – from initial outreach through proof-of-concept, deal close, and deployment ; this is not a transactional sale that you can walk away from after the contract is signed but rather requires ongoing oversight of the project to ensure success You may be a good fit if you have: - 8-12+ years of previous B2B sales experience with Global 2000 and large enterprises negotiating and closing transformational multi-year (2-5 year) SaaS deals in the 7 figure range, and a track record of high performance and exceeding quota - Previous experience as a technical consultative salesperson, selling complex products, such as developer tools, API products, or AI / NLP solutions, are a plus. - Previous experience working with customers during the deployment phase of the engagement, aligning on how best to configure and customize the solution that supports success in production and builds trust to set up for expansion and growth - Previous experience working with channel partners such as cloud hyperscalers and system integrators to drive sales cycles and hit shared revenue goals - High tolerance for ambiguity - as an early sales hire, you’ll have to be a self-starter, doer and a strategist who is capable of wearing many hats and doing what it takes to figure out a path to success - Curiosity - you want to go deep on NLP and become an expert on our technology while considering how to fit into a large organization’s technology landscape - Fantastic communication skills - you are a great listener, have a knack for understanding what matters most to others, build strong relationships, can speak to the c-suite, and feel comfortable speaking to both technical and non-technical audiences Additional Requirements: - Deep understanding of the enterprise landscape, including key trends, challenges, and opportunities - Ability to articulate the value of AI and NLP solutions in the context of Fortune 2000 operations. FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.

Location: San Francisco, California; New York, New York Workplace: Hybrid WHO WE ARE Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. Notion is an in person company, and currently requires its employees to come to the office for three Anchor Days (Mondays, Tuesdays, and Thursdays). This internship will take place from Jan 25 - Apr 16 and you will need to be able to work out of our NY or SF office during this time. ABOUT THE ROLE: Mobile devices have reshaped personal computing—the power of a desktop now fits in our pockets. By giving everyone the building blocks to create their own tools, we'll solve more problems wherever we go. A delightful, intuitive mobile experience: that's our guiding light, and we need Android and iOS engineers to make it a reality. During your 12-week internship, you will be paired with a mentor that will help guide you as you work closely with our team to build and ship impactful projects. These projects will drive valuable impact to our customers and engineers. Take a look at what our past intern cohort worked on with our Blog post here https://notion.notion.site/Notion-Intern-Spotlight-d0260c4e2317490db89f367d95cb4e68 and here https://www.notion.so/blog/saluting-notions-winter-interns and TikTok https://www.tiktok.com/@notionhq/video/7216440106356395306?lang=en post. WHAT YOU'LL ACHIEVE: - Write clean, secure, tested, and documented code. - You'll collaborate with the team to strategize, mold, and develop innovative features for our Android and iOS application. - At our core, we prioritize crafting top-tier applications. Your role could involve enhancing the Android or iOS app's performance, reliability, and overall refinement. Additionally, you'll have the opportunity to optimize aspects of the app within the web stack. QUALIFICATIONS - Pursuing a Bachelor's or Master’s degree in computer science, engineering, or another related field. Must graduate before December 2027. - Previous mobile internship experience. - Working towards a proficiency of one or more programming languages such as Kotlin, Java, Typescript, Node.js, Swift, Go, Python, or Rust. - You find large challenges exciting and enjoy discovering problems as much as solving them. - You are able to problem-solve and adapt to changing priorities in a fast-paced, dynamic environment. - This internship will take place from Jan - Apr and you will need to be able to work out of our SF or NY office during this time. SKILLS YOU'LL NEED TO BRING: - Thoughtful problem-solving: For you, problem-solving starts with a clear and accurate understanding of the context. You can decompose tricky problems and work towards a clean solution, by yourself or with teammates. You're comfortable asking for help when you get stuck. - Put users first: You think critically about the implications of what you're building, and how it shapes real people's lives. You understand that reach comes with responsibility for our impact—good and bad. - Not ideological about technology: To you, technologies and programming languages are about tradeoffs. You may be opinionated, but you're not ideological and can learn new technologies as you go. - Empathetic communication: You communicate nuanced ideas clearly, whether you're explaining technical decisions in writing or brainstorming in real time. In disagreements, you engage thoughtfully with other perspectives and compromise when needed. - Team player: For you, work isn't a solo endeavor. You enjoy collaborating cross-functionally to accomplish shared goals, and you care about learning, growing, and helping others to do the same. NICE TO HAVES: - You're proficient with any part of our technology stack: Kotlin, Jetpack Compose, Android SDK, Dagger, Swift, React, TypeScript, Postgres. - You've heard of computing pioneers like Ada Lovelace, Douglas Engelbart, Alan Kay, and others—and understand why we're big fans of their work. - You have interests outside of technology, such as in art, history, or social sciences. Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco or New York City, the estimated hourly range for this role is $57/hr for Bachelors or $61/hr for Master’s. By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550?pvs=74 and NYLL 144 https://notion.notion.site/Ashby-AI-Bias-Audit-2b0efdeead05803bbbfae159ec86c528. #LI-Onsite A NOTE ON AI You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on. EQUAL OPPORTUNITY & ACCOMMODATIONS We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.

Location: Strava SF Workplace: Hybrid ABOUT STRAVA Strava is the app for active people. With over 200 million athletes in more than 185 countries, it’s more than tracking workouts—it’s where people make progress together, from new habits to new personal bests. No matter your sport or how you track it, Strava’s got you covered. Find your crew, crush your goals, and make every effort count. Start your journey https://www.strava.com/subscription with Strava today. Our mission is simple: to motivate people to live their best active lives. We believe in the power of movement to connect and drive people forward. ABOUT THIS ROLE We are looking for a Senior Product Manager to lead and improve the subscription experience across Strava. In this role, you will shape and run our conversion and monetization strategy, running fast-paced experiments to increase subscriber growth and retention. You will own the strategy for how users discover and experience Strava's full value, working closely with engineering, design, data, research, and marketing to understand the holistic journey and improve it. We follow a flexible hybrid model that generally translates to around half of your time on-site in our San Francisco office—roughly three days per week. WHAT YOU'LL DO - Own the subscription strategy and roadmap to increase free-to-paid conversion and long-term subscriber retention. - Design and drive rigorous experiments that help us understand and learn about what drives purchase decisions across the full funnel – from pricing and packaging to messaging and value prop positioning. - Work closely with engineering, design, analytics, research, and marketing to deliver high-quality experiences. - Track and own core subscription health metrics—including conversion rates, churn, renewals, and lifetime value. - Communicate experimentation strategy, performance and trade-offs to product peers and leadership WHAT YOU'LL BRING TO THE TEAM - 5+ years of experience managing global subscription products, conversion funnels, or driving growth in consumer software. - Strong analytical skills with hands-on experience with experimentation and A/B testing and evaluating results (e.g. conversion rate, trial-to-paid, plan mix shift, LTV) - A calm, adaptable operator who thrives amidst rapid change, bringing clarity and focus to a fast-paced environment. - Action-oriented mindset with the ability to prioritize work and solve complex problems, balancing a high quality user experience with revenue impact. - Clear communication skills, with the ability to build consensus across product, engineering, data, design, research, marketing, and leadership teams. For information on benefits, please click here https://docs.google.com/document/d/e/2PACX-1vTkFMPz3eCjd0FgQ28VWnK4d2BEnzGyaSFGwATR-dQdBb9HxZgay6kboqnT0-V-qaBDzSvYIzI76vT5/pub. WHY JOIN US? Movement brings us together. At Strava, we’re building the world’s largest community of active people, helping them stay motivated and achieve their goals. Our global team is passionate about making movement fun, meaningful, and accessible to everyone. Whether you’re shaping the technology, growing our community, or driving innovation, your work at Strava makes an impact. When you join Strava, you’re not just joining a company—you’re joining a movement. If you’re ready to bring your energy, ideas, and drive, let’s build something incredible together. Strava builds software that makes the best part of our athletes’ days even better. Just as we’re deeply committed to unlocking their potential, we’re dedicated to providing a world-class, inclusive workplace where our employees can grow and thrive, too. We’re backed by Sequoia Capital, TCV, Madrone Partners and Jackson Square Ventures, and we’re expanding in order to exceed the needs of our growing community of global athletes. Our culture reflects our community. We are continuously striving to hire and engage teammates from all backgrounds, experiences and perspectives because we know we are a stronger team together. Strava is an equal opportunity employer. In keeping with the values of Strava, we make all employment decisions including hiring, evaluation, termination, promotional and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. California Consumer Protection Act Applicant Notice https://docs.google.com/document/d/e/2PACX-1vSc8y6On4NlP5s12hf4kmWe_pvenVyQ78TbtVaz_clROhj9ADQ6kY4YScglBIuY2joKFKalOReX7vP_/pub

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Partner Marketing Manager for Global and Regional System Integrators at Anthropic, you'll own marketing for our highest-performing services partners. That includes Global Premier GSIs and the regional systems integrators (RSIs) closing the most partner-attached Claude deals. You'll report to the lead for Services Partner Marketing and work alongside each partner's Partner Account Manager. You'll build a joint marketing plan with each partner and run executive programs and joint announcements. You'll also turn partner deliveries into the customer proof our field needs. Partners are now attached to a large and fast-growing share of Anthropic's biggest enterprise deals. Your job is to make those partnerships deliver more every quarter. This role is hands-on. You'll think strategically about each partner relationship while running the campaigns, events and enablement yourself. Our scaled programs team supports the rest of the partner network. You'll focus on the partners where hands-on marketing moves the most business, and use those scaled programs where they fit. Key responsibilities Partner Marketing Strategy & Execution Own joint marketing plans for an assigned group of high-performing GSI and RSI partners, including quarterly planning, campaign calendars, and success metrics tied to target accounts and pipeline goals Develop joint campaigns and executive programs (CXO dinners, executive briefings, tentpole event activations) aimed at C-suite and senior decision-makers at enterprise customers Work with Partner Account Managers and the Alliances team to identify priority accounts and build account-based plays that leverage partner relationships Lead joint announcements from first draft through approvals, holding partner copy to Anthropic's messaging and brand standards Spot RSIs gaining traction and help them grow into higher tiers Content, Proof & Enablement Build joint value propositions, messaging, and enablement materials (pitch decks, solution briefs, case studies) that help partners position Claude with their enterprise clients Turn partner deliveries into proof: capture wins for sellers, and work with Customer Marketing to produce partner-led customer stories that meet each partner's tier requirements Get your partners carrying Anthropic's priority messages and launches, and build them into Anthropic's own campaigns with the Campaigns team Put the team's co-marketing guidelines, campaign kits and self-serve assets to work across your partners Program Management & Measurement Lead end-to-end execution with your partners, coordinating across product marketing, demand generation, field marketing, events and agencies Manage partner funding (MDF/co-op) for your partners and track ROI on joint investments Track and report partner-sourced and influenced pipeline, story output, and campaign ROI, with 30/60/90-day pipeline tracking on every activation Represent Anthropic at partner events, executive briefings, and industry conferences as needed Feed what works back into playbooks the scaled programs team can run across the wider partner network Minimum qualifications Have built and run partner marketing programs with Global System Integrators, major consulting firms, or regional systems integrators, and can shift between large firms and smaller, faster-moving ones Understand enterprise buyer journeys and can create marketing programs that resonate with C-level executives Are skilled at developing joint value propositions that articulate clear business outcomes for enterprise customers Build trusted relationships with partner marketing and sales teams, and can move a partner on priorities you don't control Can own a partner portfolio end to end within a team strategy, and know when to escalate Are highly organized and detail-oriented, and can run multiple partner plans at once without dropping quality Write clearly and precisely, with experience creating executive-level content and holding partner copy to a high bar Are data-driven and comfortable tracking marketing metrics, analyzing performance, and optimizing programs based on results Thrive in fast-paced, high-growth environments and are comfortable with ambiguity and changing priorities Have a "get it done" mentality and aren't afraid to jump in wherever needed to ensure program success Care about the societal impacts of AI and are excited about enabling enterprises to adopt AI responsibly Preferred qualifications Have 7+ years of marketing experience, with significant focus on partner marketing in B2B technology environments Experience in the AI/ML industry or working with AI-powered products Established relationships within the GSI, consulting or regional SI ecosystem Worked on the partner side, at a GSI or SI, in alliance or technology partner marketing Experience with tiered partner programs, including benefits and promotion reviews Experience producing partner-led customer stories with enterprise customers Understanding of enterprise AI use cases across different industries and functions Experience with CRM systems (such as Salesforce) and partner relationship management tools Used Claude or other AI tools to scale their own marketing work Role-specific policy: For this role, we expect all staff to be able to work from our San Francisco, Seattle, or New York office at least 3 days a week, though we encourage you to apply even if you might need some flexibility for an interim period of time for relocation. If based in Seattle or New York, this role will require traveling to the San Francisco office once a month. Additionally, this role may require up to 20% of the time for partner meetings and partner events. Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $255,000 — $320,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Hybrid - SF Bay Area Location: Hybrid- San Francisco OR Palo Alto Office, Tuesday/Thursday Job Type : Full-time W2 About Midi Health Midi Health is the largest virtual care clinic for women in midlife navigating perimenopause, menopause, and other hormonal transitions. We combine expert clinicians, evidence-based protocols, and a modern technology platform to deliver care that has historically been underserved by the healthcare system. We're a fast-growing, mission-driven company building the infrastructure and products that define this new category of care. How We Work Hybrid by design. Two days a week in-office (Tuesday and Thursday) in Palo Alto or San Francisco. We believe high-trust teams are built in person and scaled remotely. AI-native engineering. We expect every engineer to be fluent with modern AI coding tools (Claude Code, Cursor, Copilot, and similar) and to actively push the frontier of how we build software. Low-ego, high-curiosity. We approach disagreement with humility and technical rigor, not politics. We invest in each other's growth. Outcome-oriented. We move fast, own our work end-to-end, and balance speed with the durability that healthcare demands. The Difference You Will Make You'll join a team building the products that power Midi's care — spanning the patient journey (discovery, booking, ongoing care) and the clinician and operational surfaces that deliver that care at scale. You'll drive significant projects from early brainstorming through architecture, execution, rollout, and iteration, shipping user-facing software that meaningfully changes how women experience healthcare. What You Will Do Design, build, and own full-stack features end-to-end across our patient, clinician, and operational products Partner closely with product, design, marketing, clinical, and operations stakeholders to turn ambiguous problems into shipped software Write thoughtful, scalable code that balances speed of execution with long-term maintainability Contribute to architecture decisions and raise the bar for code quality, testing, and CI/CD practices Review code, participate in technical discussions, and help teammates level up Use AI coding tools every day to multiply your output and help the team adopt better workflows About You 6+ years of experience building and shipping full-stack web applications at production scale Strong hands-on coding skills in a modern web stack — we use Django/DRF and React/Next.js, but equivalent experience is fine Seasoned at system design: you can take an ambiguous product problem and produce a clean, pragmatic architecture Solid command of AI coding tools; comfortable adopting and applying the workflows the team converges on Good mentorship instincts — you share context generously and help peers grow through code review and pairing Strong written and verbal communicator; collaborates well with non-engineering stakeholders Proactive ownership mindset; advocate for automated testing, CI, and high code quality Low-ego, curious, humble Nice to Have Experience in healthcare, EHR integrations, or other regulated domains Prior consumer-facing startup experience Interview Process: Recruiter Screen (30 min) Hiring Manager Screen (45 min) Live Technical Assessment (2 hours: 2 x 60 min sessions) On-Site Interview and lunch (3 hours) At this time, Midi Health is not able to sponsor or take over sponsorship of any employment visa (including H-1B, TN, or other work authorization). Applicants must be authorized to work in the U.S. without current or future visa sponsorship. While you are waiting for us to review your resume, here is some fun content to check out. Midi 2024 in Review Women Leaders Invest in Midi Patient Testimonials At Midi Health, we are committed to pay transparency and equity. The estimated salary range for this role is $180,000-$210,000 per year, based on factors such as experience and skills. In addition to base salary, employees are eligible for a wide range of benefits and equity in the company, We believe in fair and competitive compensation practices that align with our values of equity and inclusion. If you have any questions about how we determine pay, we’re happy to discuss further in the hiring process. #li-ps1 At this time, Midi is unable to provide visa sponsorship. All Candidates must be authorized to work in the United States without current or future sponsorship needs. Please note that all official communication from Midi Health will come from an @joinmidi.com email address. We will never ask for payment of any kind during the application or hiring process. If you receive any suspicious communication claiming to be from Midi Health, please report it immediately by emailing us at careers@joinmidi.com . Midi Health is an Equal Opportunity Employer. We are committed to pay equity and ensure that all qualified applicants receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. Our compensation philosophy is based on fair, objective criteria and the impact of the role, regardless of an applicant’s salary history. Please find our CCPA Privacy Notice for California Candidates here .

Location: Foster City, CA Workplace: Hybrid Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. ABOUT THE ROLE Replit enables people to build software with AI. The infrastructure underneath that experience must make it straightforward to launch services, isolate workloads, and run reliable systems at scale. We're hiring a hands-on Engineering Manager to lead Cloud Infrastructure: the shared infrastructure as code (IaC), networking, storage, compute, and service mesh platforms that Replit's product and platform teams depend on. You'll lead and grow an existing engineering team building and operating these foundations, including Kubernetes, shared edge networking, service mesh and workload identity. This is a platform-building role with production accountability. You should be comfortable going deep on a design or incident while developing a team that does not depend on you for every decision. WHAT YOU'LL DO - Own the cloud-platform roadmap. Lead the team's IaC, networking, storage, compute, and service mesh platforms. Translate product, platform, reliability, and security needs into sequenced outcomes, balancing foundational investment, lifecycle work, and delivery commitments against the team's capacity. - Make infrastructure repeatable and self-service. Build maintained IaC interfaces for services, cells, connectivity, identities, and shared resources. Enable internal customer teams to provision infrastructure without bespoke coordination or dependence on individual experts. - Operate what the team builds. Own platform availability, upgrades, isolation, recovery, and incident remediation. Maintain clear SLOs, sustainable on-call coverage, and primary and backup owners for critical systems. - Stay technically engaged. Review designs and production changes, debug difficult failure modes, and use AI coding tools—including Replit—to prototype and automate. Apply rigorous review and verification to AI-generated infrastructure changes. - Build and grow a high-ownership engineering team. Coach engineers, develop technical leaders, set clear expectations, manage performance, and hire against agreed needs. Delegate meaningful ownership as the team grows. WHAT YOU'LL BRING - Demonstrated engineering management. You have led and developed engineers, made prioritization and performance decisions, hired thoughtfully, and delivered through a team—not only acted as its strongest individual contributor. - Software-oriented infrastructure depth. You have built and operated cloud platforms or distributed systems and can reason across infrastructure code, Kubernetes, networking, service identity, and stateful dependencies. - Safe-change and production judgment. You have owned consequential migrations and incidents, can explain failure modes and rollback limits, and know when simplifying a system is better than adding another platform. - Platform-product and engineering judgment. You understand internal customers, create interfaces other teams adopt, and make clear tradeoffs among reliability, developer autonomy, engineering effort, and workload efficiency. NICE TO HAVE - Experience with multi-tenant, cellular, regional, or dedicated enterprise infrastructure. - Familiarity with GCP/GKE, Terraform or similar IaC systems, Cloudflare, Envoy/Istio, SPIFFE/SPIRE, and managed data services. - Experience with large-fleet rightsizing, infrastructure consolidation, or migrating CI compute without disrupting developer workflows. - A track record using AI tools to increase engineering output while preserving production safeguards. Full-Time Employee Benefits Include: 💰 Competitive Salary & Equity 💹 401(k) Program with a 4% match (US Only) ⚕️ Health, Dental, Vision and Life Insurance 🩼 Short Term and Long Term Disability 🚼 Paid Parental, Medical, Caregiver Leave 🏝 Flexible Time Off (FTO) + Holidays 🚗 Commuter Benefits (In-Office & US Only) 📱 Monthly Wellness Stipend 🧑‍💻 Autonomous Work Environment 🖥 In Office Set-Up Reimbursement (In-Office Only) 🚀 Quarterly Team Gatherings ☕ In Office Amenities (In-Office Only) Want to learn more about what we are up to? - Self-driving Company https://replit.com/blog/self-driving-company - Replit Agent at Scale https://replit.com/blog/evaluating-and-improving-agent-at-scale - AI Adoption https://replit.com/blog/ai-adoption - Build Open-Source Apps https://replit.com/build/open-source-app-builder   Interviewing + Culture at Replit - Operating Principles https://blog.replit.com/operating-principles - Reasons not to work at Replit https://blog.replit.com/reasons-not-to-join-replit To achieve our mission of making programming more accessible around the world, we need our team to be representative of the world. We welcome your unique perspective and experiences in shaping this product. We encourage people from all kinds of backgrounds to apply, including and especially candidates from underrepresented and non-traditional backgrounds.

Location: Annapolis, MD Position Objective: Contributes to the provision of high-quality, cost-effective healthcare as a provider of direct and indirect patient care and by effective of the health care team. Functions as a competent member of the health care team. 1. Clinical Decision Making/Judgment Demonstrates clinical nursing knowledge and skill in the specialization of the unit. Demonstrates the ability to apply the nursing process effectively in the care of culturally diverse patients and families. Demonstrates the ability to utilize all applicable laws, policies, standards, guidelines and evidence-based practice in the provision of patient/family care. Organizes and reprioritizes patient care activities based on subtle and overt and/or environmental changes. Consistently and thoroughly assesses patients to collect data and identify learning needs according to established standards and policies. Utilizes a systematic, continuous and complete analysis of assessment data to develop individualized problem lists for assigned patients. Develops and individualizes a plan of care for each patient in accordance with established standards, appropriate prioritization of problems/needs, and mutually agreed upon goals. Efficiently implements the patients plan of care in accordance with applicable standards, policies, procedures and guidelines. Demonstrates proficiency in medication administration, pain management and other unit or initiative specific skills. Continuously evaluates the effectiveness of the plan(s) of care, making revisions and recommendations based on analysis of patient responses to interventions. 2. Nurse-Patient Family Relationships Demonstrates the ability to assess the patients/familys learning needs, readiness to learn, learning style, and presence of barriers to learning. Demonstrates the ability to develop, implement and evaluate teaching plans for patient populations in unit specialty in accordance with applicable standards. Demonstrates the ability to apply knowledge of growth and development across the life span to the care of patients. Provides direct patient care to patients and families in a culturally, developmentally and ethically appropriate manner. Plans of care address the physical, psychosocial, spiritual and learning needs of the patient/family. 3. Clinical Scholarship Participates in QI, CPI and risk management activities at the unit, department or organizational level. Demonstrates the ability to effectively perform and improve all processes in order to achieve excellence with regard to Luminis Healths quality standards and benchmarks. Supports the use of evidence based guidelines and organizational policies and procedures to promote safe patient care and a safe practice environment. 4. Clinical Leadership Participates in unit shared governance according to departmental standards. Participates in the education and orientation of new staff. Delegates patient care activities as appropriate; evaluates delegated activities for expected patient care outcomes. Employs real time computer documentation when completing patient record. Educational/Experience Requirements: Graduate of an accredited school of nursing Adherence to the credentialing requirements of Luminis Health as stated in the nursing bylaws. Where applicable, completion of a BSN is required within 5 years of date of hire Required License/Certifications: Current licensure as a registered nurse by the Maryland Board of Nursing BLS - American Heart Association Health Provider If serving as a bilingual/multilingual interpreter, certification in Medical Interpretation is required to perform the duties of a qualified interpreter. Additional requirements by department: PALS Requirement: The following department(s) require PALS: Pediatrics Unit, Postanesthesia Care Unit, Endoscopy, Procedural Care Unit, Interventional Radiology. ACLS Requirement: The following department(s) require ACLS: Heart and Vascular Unit, Neuro Care Unit, ICU/IMU, Interventional Radiology, Postanesthesia Care Unit, Progressive Care Unit, Resource Nurses, Emergency Department, Prep, Telemetry, Outpatient Infusion, DRCC Bowie, Observation Unit, Endoscopy, Procedural Care Unit, Cardiac Cath Lab, Flex Nursing Unit, Operating Room (LHDCMC only), Cardiac Cath Lab, Observation Unit, DCMC IP Mental Health, and Edwards Pre-Op and PACU. New Grad and New to Specialty RN’s in ICU must get their ACLS within 6 months Chemotherapy/Immunotherapy Certification requirement: Certification within 6 months of hire if experienced or within 1 year for new graduate nurse The following department(s) require a Chemotherapy/Immunotherapy Certification: Oncology Unit NRP - Neonatal Resuscitation requirement: The following department(s) require NRP - Neonatal Resuscitation: Mother and Baby Unit, Neonatal Intensive Care Unit, Labor and Delivery Unit, and Women's Surgical Unit. BLS requirement: The following department(s) require BLS: Employee Health, Performance Improvement, Special Pathogens Unit, Neuro Care Unit, Pre-Anes Testing, Wound Care Center, Medical Staff Office, Nursing Administration, Nursing Graduate Program, Women's Surgical Unit, Joint and Spine Unit, 4 Medical, IV Therapy, Nursing Quality and Research, HSCRC Nursing Grant, Flex Nursing Unit, ICU, Operating Room, Short Stay Unit, Postanesthesia Care Unit, Progressive Care Unit, 4TH FLOOR, DCH 3 East Med Surg Telemetry, 3 West Oncology, Emergency Room, Oncology Unit, ACE Unit and 2 EAST OBS, Vascular Access Team. Working Conditions, Equipment, Physical Demands: There is a reasonable expectation that employees in this position will be exposed to blood-borne pathogens. Physical Demands - The physical demands and work environment that have been described are representative of those an employee encounters while performing the essential functions of this position. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions in accordance with the Americans with Disabilities Act. The above job description is an overview of the functions and requirements for this position.  This document is not intended to be an exhaustive list encompassing every duty and requirement of this position; your supervisor may assign other duties as deemed necessary. Pay Range $34 — $54 USD Luminis Health Benefits Overview: •    Medical, Dental, and Vision Insurance •    Retirement Plan (with employer match for employees who work more than 1000 hours in a calendar year) •    Paid Time Off •    Tuition Assistance Benefits •    Employee Referral Bonus Program •    Paid Holidays, Disability, and Life/AD&D for full-time employees •    Wellness Programs •    Employee Assistance Programs and more *Benefit offerings based on employment status Opt-in for text notifications! Luminis Health's two-way SMS texting platform lets you receive notifications and messages from our Talent Acquisition team directly on your phone. To enable this feature, select "yes" when asked to "opt-in to receive text messages" and to "Receive updates from a recruiter about this job via SMS" when completing your application. Once you are opted in, you can easily opt-out at any time. Standard text messaging rates may apply based on the candidate's mobile carrier plan. Luminis Health is not responsible for any charges incurred by the recipient. Candidates are encouraged to review their mobile carrier's plan for applicable text messaging rates and usage charges.

Location: Lanham, MD Title: Clinical Supervisor Job Code: 000747 FLSA Status: Non – Exempt Reports To : Clinical Director - Nursing Position Objective The Clinical Supervisor directly supervises staff and is a clinical expert practitioner specific to the unit at education/staff development functions as well as designated management functions to promote high quality, cost effective health care. This position has authority to perform supervisory duties including but not limited to hiring, evaluating performance, issuing final disciplinary actions under the review of Human Resources, and recommending discharge in collaboration with members of management and Human Resources Essential Functions 1. 1. Clinical Decision Making/Judgment · Demonstrates expert clinical knowledge and skill in the specialization of the unit or initiative. · Provides for the coordination of patient care throughout the continuum for areas of responsibility. · Serves as an expert clinician, acting as a clinical resource for the staff. · Works collaboratively with other disciplines in problem analysis and resolution for pathways, protocols · And patient care delivery. · Expertly organizes and reprioritizes patient care activities based on subtle and overt and/or environmental changes. · Assists others in prioritizing patient care. 2. 2. Nurse-Patient Family Relationships · Expertly provides direct patient care to patients and families in a culturally, developmentally and ethically appropriate manner. · Demonstrates expert skill in managing and planning care for complex patient/family scenarios including physical, psychosocial, spiritual and learning needs of the patient/family. 3. 3. Clinical Scholarship · Effectively performs and improves all processes in order to achieve excellence with regard to AAMC’s quality standards and benchmarks. · As part of unit leadership, collaborates in developing, monitoring and changing practice as a result of performance improvement initiatives. · As part of unit leadership, collaborates to provide direction for staff development activities and orientation programs and staff meetings · Member of a professional organization specific to unit/initiative. · Maintains certification in specialty. · Supports Evidence Based Practice in clinical specialty to guide nursing practice, development of plans of care and interventions. 4. 4. Clinical Leadership · Demonstrates the ability to enhance skills and performance of others in order to achieve professional and organizational goals.  The competency is demonstrated by systematically providing clear objectives, performance-specific feedback, effective coaching and developmentally experience/opportunities. · Demonstrates the ability to optimize utilization of staff, matching staff talents and proficiencies to organizational needs in making, evaluating and reorganizing patient care assignments. · As part of unit leadership, manages daily operational throughout process in collaboration wth other unit leaders, Administrative Coordinator, Care Management, other nursing unit and support services to include room assignments, rounds/huddles, transfers/discharges.  Bed Board, full capacity protocol initiation, and effective communication with other disciplines and departments. · As part of unit leadership is responsible for review and implementation of the Joint Commission standards in collaboration with other unit leaders, including participation in Tracers. · Fosters interdisciplinary collaboration by chairing or serving as a representative for nursing on hospital-wide and service line committees and/or councils. · As part of unit leadership, participates in goals setting and prioritization. · As Unit Supervisor, is responsible for human resource management including but not limited to staffing and scheduling, performance evaluation, disciplinary action, orientation/development, and staff selection. · Educates and precepts new staff. · Demonstrates competency in computer documentation when completing patient records and serves as a resource. · Participates in fiscal management of unit to include ParEX oversight, managing repair requests and follow up for broken equipment, evaluation of new equipment and daily management of schedule to insure appropriate staffing levels for volume and acuity. Knowledge/Experience: Required Minimum Education: BSN Preferred: MSN Required Minimum Experience: 3 years as an RN in specialty related field Required License / Certification: Maryland RN license BLS Where applicable, specialty certifications are required by entity and must be obtained within 12 months of hire. Working Conditions/Physical Requirements: Medium Medium work. Exerting up to 50 pounds of force occasionally, and/or up to 30 pounds of force frequently, and/or up to 10 pounds of force constantly to move objects. There is reasonable expectation that employees in this position will be exposed to blood-borne pathogens. Pay Range $40 — $60 USD Luminis Health Benefits Overview: •    Medical, Dental, and Vision Insurance •    Retirement Plan (with employer match for employees who work more than 1000 hours in a calendar year) •    Paid Time Off •    Tuition Assistance Benefits •    Employee Referral Bonus Program •    Paid Holidays, Disability, and Life/AD&D for full-time employees •    Wellness Programs •    Employee Assistance Programs and more *Benefit offerings based on employment status Opt-in for text notifications! Luminis Health's two-way SMS texting platform lets you receive notifications and messages from our Talent Acquisition team directly on your phone. To enable this feature, select "yes" when asked to "opt-in to receive text messages" and to "Receive updates from a recruiter about this job via SMS" when completing your application. Once you are opted in, you can easily opt-out at any time. Standard text messaging rates may apply based on the candidate's mobile carrier plan. Luminis Health is not responsible for any charges incurred by the recipient. Candidates are encouraged to review their mobile carrier's plan for applicable text messaging rates and usage charges.

Location: San Francisco; Toronto Workplace: OnSite Lavendo partners with startups and high‑growth companies to help them hire top‑tier sales, GTM, and technical talent. This role is with one of our clients; we’ll share full details about the company and interview process as we get to know you and confirm mutual fit. ABOUT THE COMPANY Our client builds the data layer that AI agents run on. One API call turns any URL into clean, structured, LLM-ready data. It is already the default way a huge number of developers pull web data into their AI systems. The numbers back it up: 8 figures in ARR in year one, more than doubled that in year two, and 180,000+ GitHub stars, placing its open-source project among the top 50 repositories of all time. They just closed a $75M Series B. The company is small, moving fast, and hiring people who want to build the next chapter with them. THE MISSION They believe developers and AI agents should not have to fight the web to get useful data out of it. Every hour spent maintaining a scraper, dealing with stale pages, or working around brittle retrieval systems is an hour taken away from the actual product. Their job is to make that problem disappear: give AI systems reliable access to the live web, then make the results clean, current, structured, and useful enough to power real products. THE OPPORTUNITY As a Search Engineer, you will own ranking quality and relevance for an LLM-driven search and retrieval product. This is a role for an engineer whose primary, hands-on discipline is production search quality. You have personally shipped ranking or re-ranking changes, measured their impact, and can clearly describe the relevance, recall, conversion, or other search-quality metric you improved—including the result. You will work directly with the Head of Search and a small team across crawling, indexing, retrieval, and search serving. These systems are central to delivering excellent results at scale, but they are not substitutes for relevance ownership. Your role is to improve search quality while navigating the real constraints of web-scale retrieval: freshness, deduplication, latency, reliability, and cost per query. WHAT YOU’LL DO - Own ranking quality and relevance for LLM-driven retrieval - Design and build the crawling, indexing, and retrieval systems - Push down latency and cost per query while search volume grows - Own services end to end: design, ship, monitor, and iterate in production - Work directly with the Head of Search and the rest of the search team on the roadmap WHAT YOU BRING - 3+ years of experience building and operating search or retrieval systems in production, with ranking and relevance as your primary, owned discipline - A specific example of a ranking or re-ranking change you personally owned, the search-quality or business metric it moved, and the numerical impact achieved - Hands-on information-retrieval depth across BM25 and lexical retrieval, semantic/vector retrieval, hybrid retrieval, re-ranking, retrieval evaluation, or RAG evaluation - Experience measuring search quality through relevance, recall, conversion, CTR, NDCG, MRR, query satisfaction, or comparable production metrics - End-to-end ownership of search services: you have designed, shipped, monitored, debugged, measured, and iterated on production systems - Strong backend systems programming skills in Go, Rust, Python, or a comparable language. - Experience balancing relevance, latency, cost, correctness, and reliability under real production constraints - Comfort working through ambiguity, setting technical direction, and shipping quickly with a build-measure-iterate operating style KEY SUCCESS DRIVERS The people who do well here have personally owned search quality in production, think end-to-end about relevance, crawling, indexing, serving, latency, and cost, and thrive in ambiguity by shipping, measuring, and iterating quickly without needing a fully defined playbook. WHY JOIN? - Compensation & Equity: San Francisco: $235,000–$260,000 USD base salary, plus competitive equity. Toronto: $217,000–$233,000 CAD base salary, plus competitive equity. - Traction: 8 figures in ARR in year one, more than doubled in year two. 180,000+ GitHub stars and a developer base showing up before you even start selling to them. $75M Series B closed in 2026, backed by top-tier investors - Team: ~40 people total, real visibility with the founders and leadership. No layers, no committees, fast decisions, short feedback loops - Benefits: 100% employer-paid medical, dental, and vision (50% for spouse and kids); employer-paid life, short-term, and long-term disability insurance; 401(k), pre-tax FSA, and commuter benefits; pet insurance; 15+ days PTO; 12 weeks fully paid parental leave for moms and dads; $100/month wellness stipend; $1,000/year learning and development budget; 3-month paid sabbatical after 4 years; team offsites twice a year; SF HQ perks and a loaner e-bike for commuting - Visa: not open to visa sponsorship on this one (Candidates must be authorized to work in the United States or Canada). INTERVIEWING PROCESS 1. Intro Chat 2. Technical Chat 3. Founders Chat 4. Paid Work Trial (~40 hours) We are proud to be an equal opportunity workplace and consider all qualified applicants without regard to race, color, religion, national origin, age, sex, marital status, ancestry, disability, genetic information, veteran or military status, gender identity or expression, sexual orientation, or any other characteristic protected by law.

Location: AZ_Mesa_HQ Who we are… Verra Mobility is a global leader in smart mobility. Verra Mobility Commercial Services creates smart roadways, serving the world's largest commercial fleets and rental car companies to manage tolling transactions and violations for more than 8.5 million vehicles. Verra Mobility is a leading provider of connected systems, processing nearly 165 million transactions each year through connectivity with more than 50 individual tolling authorities and more than 400 issuing authorities. Arizona-based Verra Mobility Corp. currently operates in 15 countries and in 22 languages. The company is constantly looking toward the future, ensuring it creates relevant solutions today that will work tomorrow. Seeking to understand new customers, regions, and businesses that will shape tomorrow’s smart mobility experiences, Verra Mobility strives to ensure more people around the world reach their destination safely and easily. Keeping its core principles front and center, Verra Mobility is fueled by relationships, driven by impact, guided by what’s right, and energized by what’s next. Culture Verra Mobility Corporation is a rapidly growing, entrepreneurial company that operates with a people-first philosophy and approach. The company lives by its core values—Do What’s Right, Lead with Grace, Win Together, and Own It—in everything it does for its customers and team members. The company seeks to grow aggressively, both organically and through acquisition, to continue to be the undisputed market leader with these five core competencies: bias for action, customer focus, teamwork, drive for results, and commitment to excellence. Position Overview: Verra Mobility is seeking a Senior Software Developer candidate to design, develop, modernize, and support enterprise applications across both modern and legacy technology stacks.  The ideal candidate is a strong hands-on engineer who can build new cloud-native applications using C#, modern .NET, React, microservices, APIs, and micro frontends, while also maintaining and incrementally modernizing legacy applications built with .NET Framework, C#, and ASP.NET . This role requires strong software design skills, practical application of SOLID principles and design patterns, effective use of AI-assisted/code-generation tools, and the ability to mentor other engineers and raise engineering standards across the team. Essential Responsibilities: Design and develop scalable, secure, maintainable applications using C#, modern .NET Core, REST APIs, React, microservices, and micro frontend architectures. Translate business and product requirements into effective technical designs, APIs, services, components, data models, and integration solutions. Apply SOLID principles, clean architecture, separation of concerns, dependency injection, domain-driven design concepts, and appropriate software design patterns. Design services with appropriate boundaries, minimizing coupling while supporting independent development, testing, deployment, and scaling. Build and deploy applications in a cloud environment, using cloud-native services, containers, CI/CD, configuration management, logging, monitoring, and observability Develop and integrate RESTful APIs, asynchronous messaging/events, and third-party/external system integrations. Navigate the iterative development and release management processes within the Scrum framework. Collaborate closely with Product Managers, Tech Leads, Architects, QA, DevOps, application support, security, and other engineering teams in an Agile/Product Operating Model Mentor junior and mid-level developers in software design, coding standards, debugging, testing, AI-assisted development, and engineering best practices. Troubleshoot complex production issues, perform root-cause analysis, and implement sustainable corrective and preventive solutions. Develop and maintain comprehensive technical documentation. Take ownership of assigned capabilities from technical design through development, testing, deployment, production validation, and ongoing support. Qualifications: Bachelor’s degree in Computer Science, Information Technology, or Engineering (or equivalent experience). Typically, 10+ years of professional software development experience, with substantial hands-on experience developing enterprise applications using C# and .NET. Strong experience designing and developing full-stack enterprise applications rather than primarily maintaining existing applications. Demonstrated ability to independently take a complex requirement from analysis and technical design through implementation and production deployment. Excellent communication (written & verbal), knowledge sharing, and collaboration skills. Experience within team environments and Agile project methodologies is a must. Technical Expertise: Strong hands-on expertise with C#, modern .NET Core, ASP.NET Core, Web API, RESTful services, dependency injection, asynchronous programming, LINQ, Entity Framework/EF Core, and enterprise application development. Strong experience with React, JavaScript/TypeScript, HTML5, CSS, component-based development, state management, API integration, and modern frontend development. Experience with micro frontends is strongly preferred. Demonstrated ability to design applications using SOLID principles, clean code, design patterns, layered/clean architecture, microservices, API-first design, event-driven concepts, domain modeling, resiliency patterns, and loosely coupled architectures. Experience developing and operating applications in a public cloud environment—Azure preferred—including CI/CD pipelines, containers, cloud services, application configuration, secrets management, monitoring, logging, and observability. Strong SQL/PLSQL and relational database skills, preferably SQL Server, along with experience designing data access layers, integrations, APIs, messaging/event-based integrations, and performance-efficient database interactions. Maintain a solid understanding of security practices, including authentication and authorization services. Strong experience with automated unit testing, mocking, integration testing, API testing, code-quality practices, static analysis, secure coding, and automated quality gates. Create, update, and enhance Stored Procedures, SSRS reports, and SSIS packages. Demonstrated ability to effectively use generative AI and code-generation tools throughout the SDLC—not simply generate code—including requirement clarification, technical design, implementation, refactoring, test generation, debugging, documentation, and PR/code review. Verra Mobility Values An ideal candidate for this role naturally works in alignment with the Verra Mobility Core Values: Own It. We focus on high performance and drive toward breakthrough outcomes. Our employees ensure accountability, optimize and align work, focus on the customer, and cultivate innovation. Do What’s Right. We champion integrity and good character. Our team members model ethical behavior, demonstrate good judgment and are courageous. Choose Courage Over Comfort. We lean into the conversations, decisions and actions that move the business forward, even when they feel uncomfortable. We challenge assumptions, address issues early and prioritize progress over ease. Win Together. We believe in growing and inspiring people together. We seek people who collaborate, value differences, think and act globally, foster an engaging work environment, and recognize and develop others. With your explicit consent which you provided as part of the application process, we will retain candidate personal data solely for the business purpose for which it was collected. In no event will we retain such data more than two (2) years following the closure of the recruitment process relating to the role for which you applied or in the event other related job opportunities arise within the company. Verra Mobility Applicant Privacy Notice Verra Mobility is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. .

Location: AZ_Mesa_HQ Who we are… Verra Mobility is a global leader in smart mobility. Verra Mobility Commercial Services creates smart roadways, serving the world's largest commercial fleets and rental car companies to manage tolling transactions and violations for more than 8.5 million vehicles. Verra Mobility is a leading provider of connected systems, processing nearly 165 million transactions each year through connectivity with more than 50 individual tolling authorities and more than 400 issuing authorities. Arizona-based Verra Mobility Corp. currently operates in 15 countries and in 22 languages. The company is constantly looking toward the future, ensuring it creates relevant solutions today that will work tomorrow. Seeking to understand new customers, regions, and businesses that will shape tomorrow’s smart mobility experiences, Verra Mobility strives to ensure more people around the world reach their destination safely and easily. Keeping its core principles front and center, Verra Mobility is fueled by relationships, driven by impact, guided by what’s right, and energized by what’s next. Culture Verra Mobility Corporation is a rapidly growing, entrepreneurial company that operates with a people-first philosophy and approach. The company lives by its core values—Do What’s Right, Lead with Grace, Win Together, and Own It—in everything it does for its customers and team members. The company seeks to grow aggressively, both organically and through acquisition, to continue to be the undisputed market leader with these five core competencies: bias for action, customer focus, teamwork, drive for results, and commitment to excellence. Position Overview: Verra Mobility is seeking a Senior Software Developer candidate to design, develop, modernize, and support enterprise applications across both modern and legacy technology stacks.  The ideal candidate is a strong hands-on engineer who can build new cloud-native applications using C#, modern .NET, React, microservices, APIs, and micro frontends, while also maintaining and incrementally modernizing legacy applications built with .NET Framework, C#, and ASP.NET . This role requires strong software design skills, practical application of SOLID principles and design patterns, effective use of AI-assisted/code-generation tools, and the ability to mentor other engineers and raise engineering standards across the team. Essential Responsibilities: Design and develop scalable, secure, maintainable applications using C#, modern .NET Core, REST APIs, React, microservices, and micro frontend architectures. Translate business and product requirements into effective technical designs, APIs, services, components, data models, and integration solutions. Apply SOLID principles, clean architecture, separation of concerns, dependency injection, domain-driven design concepts, and appropriate software design patterns. Design services with appropriate boundaries, minimizing coupling while supporting independent development, testing, deployment, and scaling. Build and deploy applications in a cloud environment, using cloud-native services, containers, CI/CD, configuration management, logging, monitoring, and observability Develop and integrate RESTful APIs, asynchronous messaging/events, and third-party/external system integrations. Navigate the iterative development and release management processes within the Scrum framework. Collaborate closely with Product Managers, Tech Leads, Architects, QA, DevOps, application support, security, and other engineering teams in an Agile/Product Operating Model Mentor junior and mid-level developers in software design, coding standards, debugging, testing, AI-assisted development, and engineering best practices. Troubleshoot complex production issues, perform root-cause analysis, and implement sustainable corrective and preventive solutions. Develop and maintain comprehensive technical documentation. Take ownership of assigned capabilities from technical design through development, testing, deployment, production validation, and ongoing support. Qualifications: Bachelor’s degree in Computer Science, Information Technology, or Engineering (or equivalent experience). Typically, 10+ years of professional software development experience, with substantial hands-on experience developing enterprise applications using C# and .NET. Strong experience designing and developing full-stack enterprise applications rather than primarily maintaining existing applications. Demonstrated ability to independently take a complex requirement from analysis and technical design through implementation and production deployment. Excellent communication (written & verbal), knowledge sharing, and collaboration skills. Experience within team environments and Agile project methodologies is a must. Technical Expertise: Strong hands-on expertise with C#, modern .NET Core, ASP.NET Core, Web API, RESTful services, dependency injection, asynchronous programming, LINQ, Entity Framework/EF Core, and enterprise application development. Strong experience with React, JavaScript/TypeScript, HTML5, CSS, component-based development, state management, API integration, and modern frontend development. Experience with micro frontends is strongly preferred. Demonstrated ability to design applications using SOLID principles, clean code, design patterns, layered/clean architecture, microservices, API-first design, event-driven concepts, domain modeling, resiliency patterns, and loosely coupled architectures. Experience developing and operating applications in a public cloud environment—Azure preferred—including CI/CD pipelines, containers, cloud services, application configuration, secrets management, monitoring, logging, and observability. Strong SQL/PLSQL and relational database skills, preferably SQL Server, along with experience designing data access layers, integrations, APIs, messaging/event-based integrations, and performance-efficient database interactions. Maintain a solid understanding of security practices, including authentication and authorization services. Strong experience with automated unit testing, mocking, integration testing, API testing, code-quality practices, static analysis, secure coding, and automated quality gates. Create, update, and enhance Stored Procedures, SSRS reports, and SSIS packages. Demonstrated ability to effectively use generative AI and code-generation tools throughout the SDLC—not simply generate code—including requirement clarification, technical design, implementation, refactoring, test generation, debugging, documentation, and PR/code review. Verra Mobility Values An ideal candidate for this role naturally works in alignment with the Verra Mobility Core Values: Own It. We focus on high performance and drive toward breakthrough outcomes. Our employees ensure accountability, optimize and align work, focus on the customer, and cultivate innovation. Do What’s Right. We champion integrity and good character. Our team members model ethical behavior, demonstrate good judgment and are courageous. Choose Courage Over Comfort. We lean into the conversations, decisions and actions that move the business forward, even when they feel uncomfortable. We challenge assumptions, address issues early and prioritize progress over ease. Win Together. We believe in growing and inspiring people together. We seek people who collaborate, value differences, think and act globally, foster an engaging work environment, and recognize and develop others. With your explicit consent which you provided as part of the application process, we will retain candidate personal data solely for the business purpose for which it was collected. In no event will we retain such data more than two (2) years following the closure of the recruitment process relating to the role for which you applied or in the event other related job opportunities arise within the company. Verra Mobility Applicant Privacy Notice Verra Mobility is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. .

Location: AZ_Mesa_HQ Who we are… Verra Mobility is a global leader in smart mobility. Verra Mobility Commercial Services creates smart roadways, serving the world's largest commercial fleets and rental car companies to manage tolling transactions and violations for more than 8.5 million vehicles. Verra Mobility is a leading provider of connected systems, processing nearly 165 million transactions each year through connectivity with more than 50 individual tolling authorities and more than 400 issuing authorities. Arizona-based Verra Mobility Corp. currently operates in 15 countries and in 22 languages. The company is constantly looking toward the future, ensuring it creates relevant solutions today that will work tomorrow. Seeking to understand new customers, regions, and businesses that will shape tomorrow’s smart mobility experiences, Verra Mobility strives to ensure more people around the world reach their destination safely and easily. Keeping its core principles front and center, Verra Mobility is fueled by relationships, driven by impact, guided by what’s right, and energized by what’s next. Culture Verra Mobility Corporation is a rapidly growing, entrepreneurial company that operates with a people-first philosophy and approach. The company lives by its core values—Do What’s Right, Lead with Grace, Win Together, and Own It—in everything it does for its customers and team members. The company seeks to grow aggressively, both organically and through acquisition, to continue to be the undisputed market leader with these five core competencies: bias for action, customer focus, teamwork, drive for results, and commitment to excellence. Position Overview: Verra Mobility is seeking a Senior Software Developer candidate to design, develop, modernize, and support enterprise applications across both modern and legacy technology stacks.  The ideal candidate is a strong hands-on engineer who can build new cloud-native applications using C#, modern .NET, React, microservices, APIs, and micro frontends, while also maintaining and incrementally modernizing legacy applications built with .NET Framework, C#, and ASP.NET . This role requires strong software design skills, practical application of SOLID principles and design patterns, effective use of AI-assisted/code-generation tools, and the ability to mentor other engineers and raise engineering standards across the team. Essential Responsibilities: Design and develop scalable, secure, maintainable applications using C#, modern .NET Core, REST APIs, React, microservices, and micro frontend architectures. Translate business and product requirements into effective technical designs, APIs, services, components, data models, and integration solutions. Apply SOLID principles, clean architecture, separation of concerns, dependency injection, domain-driven design concepts, and appropriate software design patterns. Design services with appropriate boundaries, minimizing coupling while supporting independent development, testing, deployment, and scaling. Build and deploy applications in a cloud environment, using cloud-native services, containers, CI/CD, configuration management, logging, monitoring, and observability Develop and integrate RESTful APIs, asynchronous messaging/events, and third-party/external system integrations. Navigate the iterative development and release management processes within the Scrum framework. Collaborate closely with Product Managers, Tech Leads, Architects, QA, DevOps, application support, security, and other engineering teams in an Agile/Product Operating Model Mentor junior and mid-level developers in software design, coding standards, debugging, testing, AI-assisted development, and engineering best practices. Troubleshoot complex production issues, perform root-cause analysis, and implement sustainable corrective and preventive solutions. Develop and maintain comprehensive technical documentation. Take ownership of assigned capabilities from technical design through development, testing, deployment, production validation, and ongoing support. Qualifications: Bachelor’s degree in Computer Science, Information Technology, or Engineering (or equivalent experience). Typically, 10+ years of professional software development experience, with substantial hands-on experience developing enterprise applications using C# and .NET. Strong experience designing and developing full-stack enterprise applications rather than primarily maintaining existing applications. Demonstrated ability to independently take a complex requirement from analysis and technical design through implementation and production deployment. Excellent communication (written & verbal), knowledge sharing, and collaboration skills. Experience within team environments and Agile project methodologies is a must. Technical Expertise: Strong hands-on expertise with C#, modern .NET Core, ASP.NET Core, Web API, RESTful services, dependency injection, asynchronous programming, LINQ, Entity Framework/EF Core, and enterprise application development. Strong experience with React, JavaScript/TypeScript, HTML5, CSS, component-based development, state management, API integration, and modern frontend development. Experience with micro frontends is strongly preferred. Demonstrated ability to design applications using SOLID principles, clean code, design patterns, layered/clean architecture, microservices, API-first design, event-driven concepts, domain modeling, resiliency patterns, and loosely coupled architectures. Experience developing and operating applications in a public cloud environment—Azure preferred—including CI/CD pipelines, containers, cloud services, application configuration, secrets management, monitoring, logging, and observability. Strong SQL/PLSQL and relational database skills, preferably SQL Server, along with experience designing data access layers, integrations, APIs, messaging/event-based integrations, and performance-efficient database interactions. Maintain a solid understanding of security practices, including authentication and authorization services. Strong experience with automated unit testing, mocking, integration testing, API testing, code-quality practices, static analysis, secure coding, and automated quality gates. Create, update, and enhance Stored Procedures, SSRS reports, and SSIS packages. Demonstrated ability to effectively use generative AI and code-generation tools throughout the SDLC—not simply generate code—including requirement clarification, technical design, implementation, refactoring, test generation, debugging, documentation, and PR/code review. Verra Mobility Values An ideal candidate for this role naturally works in alignment with the Verra Mobility Core Values: Own It. We focus on high performance and drive toward breakthrough outcomes. Our employees ensure accountability, optimize and align work, focus on the customer, and cultivate innovation. Do What’s Right. We champion integrity and good character. Our team members model ethical behavior, demonstrate good judgment and are courageous. Choose Courage Over Comfort. We lean into the conversations, decisions and actions that move the business forward, even when they feel uncomfortable. We challenge assumptions, address issues early and prioritize progress over ease. Win Together. We believe in growing and inspiring people together. We seek people who collaborate, value differences, think and act globally, foster an engaging work environment, and recognize and develop others. With your explicit consent which you provided as part of the application process, we will retain candidate personal data solely for the business purpose for which it was collected. In no event will we retain such data more than two (2) years following the closure of the recruitment process relating to the role for which you applied or in the event other related job opportunities arise within the company. Verra Mobility Applicant Privacy Notice Verra Mobility is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. .