Experience Requirements:

• Minimum 5 years experience as Backend Developer, developing Big Data cloud services on AWS cloud.

• Experience designing and optimizing secure data pipelines and efficient scalable storage

• Experience in data quality monitoring

• Strong Python (pandas, boto3) and Data Engineering skills

• Solid experience with AWS cloud services (IAM, ECS, Lambda, S3, CloudWatch, CloudFormation etc.)

Other Requirements:

• Experience with GitHub (and GitHub Actions)

• Experience with health APIs like Garmin, OURA, Strava, Withings etc. (Nice to have)

• Previous participation in healthcare, wearable projects. (Nice to have)

• Passionate about building products that users love

• Take responsibility for outcomes and not just tasks

• Disciplined working ethics in a mainly remote environment

Responsibilities:

• Work in agile teams collaborating with other developers, product managers, and designers.

• Integrate Health APIs like Strava, Garmin, OURA to fetch, process and harmonize health data

• Implement a scalable data architecture from scratch (greenfield project) that can handle big data loads

Experience Requirements:

• Strong proficiency in Swift and good knowledge of ObjectiveC.

• Strong proficiency in XCode and the iOS SDK

• Experience with Apple HealthKit

• Proficiency with http interfaces, REST APIs

• Experience with GitHub

Other Requirements:

• Good understanding of CI/CD processes and mobile security best practices.

• Experience in bridging native to React Native (plugin development) (Nice to have)

• Experience with GitHub Actions (Nice to have)

• Previous participation in healthcare, wearable projects. (Nice to have)

• Passionate about building products that users love

• Take responsibility for outcomes and not just tasks

• Disciplined working ethics in a mainly remote environment

Responsibilities:

• Build the native ONVY iOS SDK that reads health data from Apple HealthKit in our new Native SDK project team (greenfield project)

• Build a React Native plugin that will be used in our React Native apps

• Communicate with our backend team and Android native developers regarding API implementations

• Write and maintain clear documentation for our customers and internal usage

Experience Requirements:

• 3+ years of experience in developing mobile apps, ideally in a tech or health-related startup

• Strong React and TypeScript experience

• GitHub experience

• Experience with agile development and cross-functional teams

Other Requirements:

• Ability to turn complexity into simple, empowering interfaces

• Excellent communication skills in English (German is a plus)

• Experience with Apple AppStore, Google Play Store (App Management, Subscriptions, Offer Codes etc.) (Nice to have)

• Experience with GitHub Actions (Nice to have)

• Experience with Revenuecat (Nice to have)

• Experience with Fastlane (Nice to have)

• Experience with AWS (Nice to have)

• Previous participation in healthcare, wearable projects. (Nice to have)

• Passionate about building products that users love

• Take responsibility for outcomes and not just tasks

• Disciplined working ethics in a mainly remote environment

Responsibilities:

• Implement innovative features for our mobile app on iOS and Android using React Native

• Implement communication to the backend using GraphQL and REST

• Communicate with our UX team regarding new features

• Communicate with our backend team regarding API implementations

Benefits:

• Competitive Compensation

• Equity

• Commission

• Remote-First Culture

• Shape the Future of Healthcare

Experience Requirements:

• 5+ years leading customer success or post-sales for API or technical SaaS.

• Owned $10–50M+ ARR with clear NRR, GRR, churn, and upsell metrics.

• Proven builder of playbooks, segmentation, and health scoring.

• Enterprise relationship management with C-suite and clinical stakeholders.

• Strong cross-functional operator with Product, Sales, and Engineering.

Other Requirements:

• Ex-founder background or 0→1 org build.

• Healthcare or regulated industry experience. HIPAA familiarity.

• Gainsight administration and advanced Salesforce reporting.

Responsibilities:

• Stand up the Success org, metrics, and playbooks. Own NRR, GRR, churn, expansions.

• Design enterprise onboarding and health scoring for faster time to value.

• Run executive relationships and renewals across complex health systems.

• Close the loop from customer signal to roadmap. Drive product via structured feedback.

• Build dashboards in Salesforce or Gainsight. Forecast retention and expansion.

Benefits:

• Competitive Compensation

• Equity

• Remote-First Culture

• Shape the Future of Healthcare

• Early-Stage Impact

Experience Requirements:

• Founder / 0→1 experience — first in function, building QA processes and teams from scratch

• 6–8+ years in QA with strong expertise in Playwright

• 3–4+ years of people leadership experience

• Proven ability to automate functional UI and API test cases

• Hands-on with QA tools (Playwright, Cypress, PyTest, Postman)

Other Requirements:

• Experience scaling test automation and maintaining reliability

• Highly motivated, driven, and ownership-oriented

• Experience testing AI/LLM workflows

• Familiarity with dashboarding and observability tooling

• GitHub Actions CI/CD integration experience

Responsibilities:

• Own QA strategy, defining frameworks for automation, functional, performance, and compliance testing

• Build and scale Playwright-based test automation for UI and API coverage

• Ensure reliability by expanding automation coverage, monitoring dashboards, and resolving test failures quickly

• Guarantee accuracy, security, and compliance (HIPAA/SOC-2), partnering with Engineering and Clinical teams

• Recruit, mentor, and lead a high-performing QA team

Benefits:

• Competitive Compensation

• Equity

• Remote-First Culture

• Shape the Future of Healthcare

• Early-Stage Impact

Experience Requirements:

• 5+ years engineering leadership or senior engineering experience.

• Must have built dashboards, error / alerting pipelines, tracing/logging systems; comfortable selecting and integrating model selection and monitoring tools.

• Experience owning end-to-end reliability for critical systems (e.g., audio transcription, note output, EHR integrations).

• Responsibilities include code reviews, bug triage, and enforcing quality guardrails.

Other Requirements:

• Experience with healthcare standards (FHIR / HL7) and EHR system quirks

• Prior exposure to real-time or almost real-time streaming or chunked audio processing / diarization, and converting unstructured speech inputs into structured outputs

• Experience leading teams that integrate with front-end and extension platforms (web, mobile, browser extension) to maintain consistency and crash resilience.

Responsibilities:

• Align engineering team priorities by mapping dependencies, timelines, and deliverables.

• Facilitate and run daily/weekly Scribe standups to ensure progress, remove blockers, and sync cross-functional updates.

• Oversee and manage the Scribe team’s Linear board, prioritizing and assigning tasks each week for clarity and execution.

• Operationalize continuous note quality evaluation for improvement.

Benefits:

• Competitive Compensation

• Remote-First Culture

• Shape the Future of Healthcare

• Early-Stage Impact

• Solve Scalability Challenges

Experience Requirements:

• 5+ years leading technical implementations or programs for API products

• Proven delivery of integration projects using agencies or SI partners at scale

• Early-stage startup operator who drives outcomes in ambiguity and speed

• Expert project operations in Linear or Jira with dependency and risk management

• Exceptional communication and stakeholder management with customers and vendors

Other Requirements:

• Ex-founder or founding team experience

• Healthcare integrations across EHR, FHIR, HL7

• Background in technical customer success or solutions architecture

Responsibilities:

• Manage agency-led EHR integration projects end to end from scoping to production cutover

• Own vendor relationships with Epic, Cerner, Athenahealth and partner ecosystems with clear SLAs

• Define and track OKRs such as implemented customers without engineering involvement and time to production

• Compress delivery to under 3 months by controlling the critical path and removing blockers

• Build the implementation function with CS including playbooks, runbooks, and customer-facing comms

Benefits:

• Competitive Compensation

• Equity

• Remote-First Culture

• Shape the Future of Healthcare

• Early-Stage Impact

Experience Requirements:

• Senior-level full-stack experience in React, TypeScript, and Python.

• Proven ability to design, ship, and scale LLM-powered applications.

• Expertise in API design, streaming, and CI/CD pipelines.

• Strong cloud infrastructure background (AWS, GCP, or Azure).

• Track record of building reliable systems with measurable performance and error budgets.

Other Requirements:

• Experience with WebRTC or audio-aware UI design.

• Hands-on work with agentic AI frameworks.

• History of creating design tokens, SDKs, or cross-agent platforms.

Responsibilities:

• Architect and implement cross-agent systems that power core Sully.ai experiences.

• Build and scale full-stack product components using TypeScript/React and Python services.

• Integrate LLMs into production workflows with strong contracts, observability, and test coverage.

• Develop shared UI components and typed SDKs to unify cross-agent experiences.

• Lead engineering direction, collaborating with founders and cross-functional stakeholders.

Benefits:

• Competitive Compensation

• Equity

• Remote-First Culture

• Shape the Future of Healthcare

• Early-Stage Impact

Experience Requirements:

• Proven experience designing agentic processes and LLM evaluation/benchmarking frameworks.

• Strong Python and ML background (PyTorch/TensorFlow, Hugging Face, LangChain/LlamaIndex).

• Demonstrated ability to design rigorous experiments and translate findings into production.

• Track record of published research or deep applied work in LLMs and agent evaluation.

• Strong communication and technical writing skills to articulate complex findings clearly.

Other Requirements:

• Prior work in healthcare/clinical NLP with awareness of medical data standards.

• Experience running IRB-aligned or clinical-grade studies.

• Exposure to noisy/limited medical data and designing strategies to overcome constraints.

Responsibilities:

• Design and run experiments to measure accuracy, robustness, and hallucination rates in LLM agents.

• Build automated evaluation pipelines (LLM-as-judge + human review) with clinical-grade benchmarks.

• Partner with Research Ops/IRB to design efficacy studies and align with regulatory requirements.

• Translate research into production-ready evaluation systems, collaborating with engineering to land features 0→1.

• Develop error taxonomies, ablations, and guardrails to ensure safe and reliable agent behaviors.

Experience Requirements:

• Proven experience with Terraform, OpenTofu, and Ansible

• Strong knowledge of Kubernetes, Docker, and GitOps workflows (ArgoCD)

• Hands-on experience with Prometheus, Grafana, and modern observability stacks

• Proficiency with GitLab and/or GitHub CI/CD pipelines

• Strong Linux (Debian, Ubuntu) administration experience

Other Requirements:

• Excellent written and verbal communication in English

• Self-driven, collaborative, and comfortable with asynchronous remote work

Responsibilities:

• Design, implement, and maintain scalable, secure, and resilient cloud infrastructure.

• Build and operate production-grade Kubernetes clusters, container runtimes, and CI/CD workflows.

• Design and maintain robust CI/CD pipelines in GitLab and/or GitHub Actions.

• Profile, optimize, and refactor critical code paths to improve performance.

• Implement secure design patterns for communication, authentication, and infrastructure management.

Benefits:

• Competitive Pay: Strong base salary + uncapped commission

• Equity & Upside: Own a piece of what you're building

• Tools that Work for You: We arm our team with top-tier tech and modern sales tools—so you can focus on closing, not admin

• Remote-First Flexibility: Work from where you're most effective, with teammates around the globe

• Product Influence: Your voice matters—sales feedback directly shapes our roadmap

Experience Requirements:

• 4+ years of success owning the full sales cycle in SaaS or security technology sales, with a focus on public sector or regulated environments

• Current experience selling into state, local government, and/or education (K–12 or higher ed)—with a clear understanding of procurement processes and stakeholder dynamics

• Background in video security, physical security, or AI infrastructure solutions, ideally in SLED use cases

• Proven ability to prospect and build pipeline from the ground up, especially within long and complex sales cycles

• Experience navigating RFPs, budget cycles, and vendor approval processes in public sector accounts

Other Requirements:

• Familiarity with working through or alongside SLED channel partners, resellers, or systems integrators

• Strong communicator with the ability to tailor messaging to technical, operational, and executive-level audiences in government or education

• Proficient in sales tools such as Salesforce, ZoomInfo, Apollo, and LinkedIn Sales Navigator

• Comfortable operating in a fast-moving, resourceful, early-stage environment

• Must reside within the territory to effectively serve and travel to accounts

Responsibilities:

• Own the Full Sales Cycle: Lead every stage of the deal—from first outreach to close—including prospecting, consultations, product demos, proposals, and negotiations with SLED stakeholders.

• Source Your Own Pipeline: Proactively identify and pursue new business opportunities across state, local government, and education accounts using tools like ZoomInfo, Apollo, and LinkedIn.

• Drive Public Sector Wins: Consistently exceed quarterly targets by navigating complex SLED procurement cycles, building trust with decision-makers, and closing strategic deals.

• Know the Tech Cold: Master Lumana’s AI-powered security platform and how it outperforms legacy solutions—position it confidently in highly regulated, budget-conscious environments.

• Outbound Discipline: Maintain a high-velocity outreach cadence through calls, emails, InMails, and targeted campaigns to engage public sector buyers and influencers.

Benefits:

• Competitive Pay: Strong base salary + uncapped commission

• Equity & Upside: Own a piece of what you're building

• Tools that Work for You: We arm our team with top-tier tech and modern sales tools—so you can focus on closing, not admin

• Remote-First Flexibility: Work from where you're most effective, with teammates around the globe

• Product Influence: Your voice matters—sales feedback directly shapes our roadmap

Experience Requirements:

• 4+ years of proven success owning the full sales cycle in a mid-market SaaS environment, ideally with experience as a founding AE or early sales hire.

• Current experience selling in the video security, physical security, or AI infrastructure space

• Experience selling into one or more of the following industries: retail, education, healthcare, manufacturing, government, or hospitality

• Familiarity with working through or alongside channel partners

• Strong outbound prospecting ability and track record of building pipeline from scratch

Other Requirements:

• Clear and persuasive communicator with strong business storytelling skills

• Proficient in CRM and sales tools such as Salesforce, ZoomInfo, Apollo, and LinkedIn Sales Navigator

• Comfortable working in a fast-moving, early-stage startup environment

• Willingness to travel 1–2 times/month for customer meetings, territory coverage, and events

• Must reside in the territory to provide effective coverage

Responsibilities:

• Own the Full Sales Cycle: Drive every stage of the deal from first touch to close—including prospecting, outbounding, consults, demos, proposals, and negotiations.

• Source Your Own Pipeline: Actively hunt and generate net-new business using tools like ZoomInfo, Apollo, and LinkedIn.

• Quota-Crushing Execution: Consistently exceed quarterly targets by developing and closing mid-market deals with urgency and precision.

• Product Mastery: Become an expert on Lumana’s platform and how it outperforms legacy security systems—position it confidently in a competitive market.

• Activity Discipline: Maintain a high-output cadence of calls, emails, InMails, and outbound campaigns to drive top-of-funnel activity and conversions.

Benefits:

• Innovative culture

• Growth paths

• Learning & development (annual discretionary stipend)

• Social travel (annual discretionary stipend)

• Annual company offsite

Experience Requirements:

• Strong full-stack engineering skills (Python, SQL)

Other Requirements:

• Builder mindset

• Deep product intuition

• Passionate about AI (experience with data, AI agents, LLMs, prompting, and common integration patterns across tools and systems)

Responsibilities:

• Own the design and implementation of internal tools and infrastructure that directly support our revenue teams.

• Build AI agents to automate processes, surface insights, and integrate data across multiple tools and resources.

• Partner with strategy and operations teams to deeply understand the customer and sales lifecycle, then automate, optimize, and reimagine it with code.

• Own & launch experiments to identify new ways to scale and optimize ElevenLabs operations, and drive their development and implementation.

• Design and deliver technical enablement that makes insights actionable across the ElevenLabs teams, through education, tooling, and streamlined workflows.

Benefits:

• Innovative culture

• Growth paths

• Learning & development (annual discretionary stipend)

• Social travel (annual discretionary stipend)

• Annual company offsite

Experience Requirements:

• 3+ years industry experience as a Machine Learning Engineer, with a key emphasis on constructing data pipelines, as well as developing and implementing machine learning models.

Other Requirements:

• Demonstrating the capacity to autonomously evaluate novel concepts or enhance current machine learning projects, with the potential outcome of contributing to published works.

• Extensive background in conducting exploratory research to enhance the excellence of gathered data, particularly within the realm of audio and text-to-speech domains.

Responsibilities:

• Creating and upholding a reliable and expandable data management system specialized for text-to-speech projects. This includes establishing guidelines for versioning and ensuring data quality.

• Establishing a streamlined process for autonomously training, assessing, and launching text-to-speech models. This encompasses implementing procedures for dynamic learning, as well as routines for fine-tuning and refreshing validation data.

• Investigating cutting-edge approaches and strategies in machine learning, deep learning, and algorithms pertaining to text-to-speech technology.

Experience Requirements:

• 5+ years of hands-on Splunk engineering experience (design, deployment,tuning, and troubleshooting)

• Expertise in Splunk architecture, SPL (Search Processing Language), anddashboard development

• Experience with Splunk Enterprise Security (ES), IT Service Intelligence(ITSI), or Splunk Observability Suite

• Strong scripting skills (Python, Bash, PowerShell) for automation and dataenrichment

• Familiarity with Linux security hardening and system auditing

Other Requirements:

• Experience with cloud-based Splunk (AWS, Azure, GCP) and integrations withcloud-native logging solutions

• Familiarity with Infrastructure-as-Code (Terraform, Ansible) and CI/CDpipelines

• Certifications such as Splunk Certified Admin, Splunk Certified Architect, orSplunk Certified Security Analyst or RHCE (Red Hat Certified Engineer)

Benefits:

• Comprehensive Health, Dental, and Vision coverage beginning on the first day for employees and their families

• 401(k) program with up to 2% company matching

• Equity grant participation

• Flexible PTO with a FlexExperience budget ($900 annually) to help you make the most of your time away from work

• FlexWellness program ($1,800 annually) to help support your personal health goals

Experience Requirements:

• 7+ years of experience as a Customer Success Manager in a SaaS environment (preferably Martech)

• 3+ years of experience managing enterprise accounts and achieving commercial targets

• Proven expertise in managing complex accounts, strategic renewals, and long-term customer success with enterprise-level customers

• Experience presenting to large and diverse audiences, with excellent communication and influencing skills

• Strong organizational skills with the ability to prioritize accounts and manage time effectively

Other Requirements:

• Exceptional interpersonal skills and a track record of building strong relationships across various levels, including C-suite executives

• Demonstrated ability to orchestrate cross-functional resources to ensure customer success

• Excitement for a dynamic startup environment and the opportunity to help scale the Customer Success team

Responsibilities:

• Own and manage a focused portfolio of 10-25 enterprise customers, tailoring strategies to drive renewals, identify growth opportunities, and ensure account retention.

• Develop and execute engagement strategies to help customers leverage Jasper's AI solutions across various industries and business functions.

• Serve as a trusted advisor, ensuring customers achieve maximum value and broad product adoption.

• Become a product expert and develop best practices to help customers unlock Jasper's full functionality.

• Collaborate closely with Sales, Support, Product, and Engineering teams to share customer feedback, resolve escalations, and deliver outstanding customer experiences.

Benefits:

• Comprehensive Health, Dental, and Vision coverage beginning on the first day for employees and their families

• 401(k) program with up to 2% company matching

• Equity grant participation

• Flexible PTO with a FlexExperience budget ($900 annually) to help you make the most of your time away from work

• FlexWellness program ($1,800 annually) to help support your personal health goals

Experience Requirements:

• 5+ years of experience in post-sales Marketing SaaS implementation and customization.

• Strong technical aptitude in the subject matter of AI prompting and architecting complex technical solutions including APIs.

• Comfort working with scripting or programming languages (e.g., Python, JavaScript, Ruby) is helpful but not required.

• Great project management skills, including strong communication around project timelines, and the ability to manage multiple projects simultaneously.

• Excellent communication and interpersonal skills as well as experience working with customers in a training capacity.

Other Requirements:

• Ability to work well in a fast-paced, dynamic environment.

Responsibilities:

• Partner with Customer Success Managers and Implementation Consultants to identify, plan, scope, and deliver customized technical implementations to high-value customers.

• Collaborate with customers to successfully manage and customize technical use cases of Jasper. This may include building custom applications, integrated workflows, and API implementations.

• Create and deliver use-case-specific training to ensure customers are successful at using Jasper to meet their content needs.

• Provide ongoing support and answer questions from customers including delivering training, providing technical support, troubleshooting, and helping ensure the customer is set up and effectively utilizing Jasper.

• Continuously improve service delivery processes and methodologies.

Benefits:

• Freedom and ownership of meaningful work

• Personal development budget

• Meal allowance

• Sporting activities

• Free beers

Education Requirements:

• Degree in IT, Computer Science, Engineering, or a related field.

Experience Requirements:

• Experience as a Technical Implementation Manager, Solutions Engineer, or Technical Project Manager in AI, automation, or enterprise software

• Strong background in OOTB product implementation and configuration

• Knowledge of Javascript

• Experience with database management (SQL, Postgres, MongoDB)

• Experience with AI/ML platforms, API integrations, and technical project delivery

Other Requirements:

• Excel at breaking down complex problems and delivering clean, effective solutions.

• Data driven mindset, skill in making quick, well-founded decisions by considering various options and selecting the best solution.

• Capacity to generate new and effective solutions to challenging problems by thinking "outside the box" and applying creative approaches.

• Proficiency in project management methodologies and delivery frameworks

• Understanding of technical standards, architecture, and compliance requirements

Responsibilities:

• Implement AI solutions using OOTB products and standard approaches

• Execute technical project phases according to defined timelines and budgets

• Manage scope adherence and prevent scope creep through technical controls

• Own technical implementation from handoff through go-live

• Implement and maintain technical standards across all deliveries

Benefits:

• Mentorship from our legal expert

• Top market compensation package including company shares

• Personal development budget

• Meal allowance

• Free beers

Experience Requirements:

• Deep hands-on expertise with LLMs, AI agents, RAG, embeddings, and orchestration frameworks (LangChain, LangGraph, CrewAI, MCP, etc.)

• Strong track record in AI productization (building features beyond prototypes)

• Experience with enterprise automation domains (finance, GBS, ERP systems like SAP/Oracle/Workday, etc.) is a plus

• Proven ability to work cross-functionally with Product, Engineering, and Delivery teams

• Leadership qualities: able to coach, mentor, and inspire a growing AI team

Other Requirements:

• Pragmatic builder: combines research curiosity with execution discipline

• Be at the forefront of AI-native enterprise automation

• Work with leading global clients and partners

• Shape the future of our AI organization and products

• Join a collaborative, ambitious, and international team

Responsibilities:

• Lead applied AI research in LLMs, agent frameworks, RAG, embeddings, and multimodal document understanding.

• Drive productization: transform prototypes into scalable, reliable SaaS and on-prem solutions.

• Design and refine AI pipelines for automation (prompting, orchestration, validation, continuous learning).

• Collaborate with Product, PS, and CS teams to ensure customer requirements translate into robust AI features.

• Mentor and grow AI engineers, delivery specialists, and researchers; help define team structure.

Benefits:

• Freedom and ownership of meaningful work

• Personal development budget

• Meal allowance

• Sporting activities

• Free beers

Education Requirements:

• Education in the field of IT, Computer Science, Engineering or similar

Experience Requirements:

• Experience as a Technical Support Engineer, DevOps Engineer, or SRE in enterprise software or SaaS environments

• Strong background in system monitoring, troubleshooting, and incident management

• Experience with AI/ML systems, APIs, and integration platforms is a strong plus

• Proficiency in monitoring tools (Prometheus, Grafana, ELK stack, or similar)

• Understanding of cloud platforms (AWS, Azure, GCP) and containerization

Other Requirements:

• Customer service mindset with ability to communicate technical issues clearly

• Collaborative approach, working effectively with delivery and product teams

• Strong problem-solving skills with ability to architect complex automated solutions

• Data driven mindset, skill in making quick, well-founded decisions by considering various options and selecting the best solution.

• Understanding of technical standards, architecture, and compliance requirement

Responsibilities:

• Respond to technical incidents with defined SLA compliance

• Diagnose and resolve complex technical issues across the AI stack

• Escalate critical issues to appropriate technical teams when needed

• Monitor AI solution performance across all customer environments

• Implement proactive monitoring systems and alerting mechanisms