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eCommerce • Fintech • Hardware • Payments • Software • Financial Services
Own a local territory through highly field-driven, full-cycle sales. Generate pipeline via in-person outreach, networking, events, and partnerships; conduct demos; close deals; build seller relationships; support onboarding; and exceed quota. The role focuses on selling Square’s integrated commerce, software, hardware, and financial services solutions to restaurants, retailers, and service businesses while maintaining accurate Salesforce activity, forecasting, and pipeline management.
Top Skills:
Salesforce
eCommerce • Fintech • Hardware • Payments • Software • Financial Services
Coordinate cross-functional product go-to-market programs from planning through launch, adoption, and optimization. Build project plans, operating mechanisms, launch documentation, feedback loops, status updates, and decision logs. Partner with Product, Sales, Marketing, Enablement, Analytics, Finance, and leadership to align stakeholders, manage dependencies, identify blockers, and improve execution. Translate operational data and customer or field feedback into clear priorities and recommendations.
Artificial Intelligence • Cloud • Information Technology • Sales • Security • Software • Cybersecurity
Own and expand strategic enterprise accounts across Ohio, generating net-new business and growing existing revenue. Develop sophisticated sales strategies, engage senior technical and business executives, negotiate complex agreements, and exceed revenue targets. Partner with Sales Engineering, Customer Success, Sales Operations, and channel stakeholders to deliver tailored cybersecurity solutions and long-term customer value. The role requires strong SaaS and cybersecurity expertise, executive communication, independent territory management, and travel up to 50%.
Top Skills:
CloudCybersecurityGongLinkedin Sales NavigatorSaaSSalesforceSalesloftZoominfo
Design and build scalable, performant data ingestion systems that handle variable healthcare data formats using AI. Partner with product and engineering leaders, implement observability and CI/CD, mentor engineers, and deliver secure, maintainable solutions that accelerate onboarding of new data feeds.
Within Data Ingestion at Aledade we have two major problems: 1) Scale, 2) Variability. As an Ingestion AI Engineer at Aledade, you will be focused on the variability problem. Leveraging cutting edge AI tools you will design systems that handle the variability of data received from external sources. Within healthcare, while there are format standards, they are loosely followed and in many cases for the data we receive, no standard exists. Handling hundreds/thousands of disparate formats quickly is a challenge. The faster we are able to stand up new data feeds, the more information we have about our patient population, the better care we enable our providers to render. We're looking for engineers who know that writing new code is not always the solution to a problem, but when technological changes are needed they create secure, maintainable, performant, correct, scalable, and stable solutions to the complex and unique challenges in our corner of the healthcare industry.
They embrace strategies that minimize risk, leaning towards observability, alerting, metrics, high test coverage, and frequent releases that incrementally build value.
Primary Duties:
- Develop and implement scalable and performant solutions.
- Partner, as a peer, with Engineering Managers, Product Managers, and stakeholders throughout Aledade to develop and execute technical roadmaps using Agile processes.
- Mentor and coach more junior engineers including thorough pull request reviews for other developers and be receptive to critical feedback on your own work.
Minimum Qualifications:
- BS/BTech (or higher) in Computer Science, Engineering or a related field.
- 6+ years experience as an engineer doing backend or data engineering development as part of a cross-functional team.
- 3+ years of experience working with SQL or other database querying language on large multi-table data sets.
- 3+ years of experience acting as a trusted technical decision-maker in a team setting, solving for short-term and long-term business value.
- 3+ years of experience coaching other engineers.
Preferred KSA’s:
- Experience with health-tech systems, like Electronic Health Records, Clinical data, etc.
- Experience in designing, building and optimizing data pipelines and ETL processes.
- Proficiency in working with large datasets and knowledge of data storage technologies.
- Experience working with data ingestion systems and optimizing performance for handling large-scale data processing and analysis.
- In-depth knowledge of database systems.
- Experience in performance monitoring and optimization of data systems and infrastructure.
- Experience with containerization and orchestration technologies such as Docker and Kubernetes.
- Experience building continuous integration and continuous deployment(CI/CD) pipelines.
- Experience with security and systems that handle sensitive data.
- Expertise with statistical data techniques (such as causal inference, syntactic analysis, sampling methods, NLP etc), with experience in addressing challenges from incomplete, unrepresentative, and mislabeled data.
- 1+ years of experience building systems incorporate AI SDK access.
- Experience with prompt engineering, tool calling, MCP development, vector databases, or RAG.
- AI system design.
- Experience navigating considerations and tradeoffs regarding determinism vs LLM in the loop .
- Development of applications using foundational models.
- Experience with cloud computing platforms such as AWS, Azure or Google Cloud.
Physical Requirements:
- Sitting for prolonged periods of time. Extensive use of computers and keyboard. Occasional walking and lifting may be required.
What you need to know about the Seattle Tech Scene
Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.
Key Facts About Seattle Tech
- Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Amazon, Microsoft, Meta, Google
- Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Madrona, Fuse, Tola, Maveron
- Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute
