Procurement Operations Leader, Buy Desk
Social Media Manager
About the Team
This is where brand voice meets business impact. The Social Media Manager joins Outreach's Corporate Marketing and Communications function — a collaborative group of storytellers, strategists, and brand builders who believe that how a company shows up in the world is as important as what it ships. We work cross-functionally — alongside executives, product marketing, PR, and content teams — to ensure Outreach is visible, credible, and unmistakable in the market.
We're curious about what's next: in social media, in AI-powered content creation, and in the way modern buyers discover and engage with brands. We bring bold ideas, hold a high bar on quality, and take real ownership of outcomes — together.
The Role
Reporting to the Director of Communications, the Social Media Manager plays a pivotal role in shaping how Outreach shows up across global social channels. This is a highly visible role that blends strategic brand storytelling with executive enablement. It provides an opportunity to define the social voice of a category-defining company at the forefront of AI for revenue teams, with the creative freedom and executive access to make an outsized impact.
You'll lead the company's corporate social media presence, partner closely with Outreach executives to develop their social strategies, and work with our social media agency as the main point of contact, driving the social expression of our brand campaigns, customer stories, and AI leadership.
AI is transforming how teams create, distribute, and measure social content, and this role sits at that intersection. We're an AI-leading marketing team that uses emerging tools to work smarter, move faster, and build connections that resonate. We're looking for someone who brings that same mindset to every channel, campaign, and audience interaction.
Public Relations Manager
About the Team
The PR Manager will join the Outreach Marketing team, a team of communicators, creators, writers, demand gen pros, and product experts who push each other to do the best work of our careers while having each other's backs. We're proud to be the market leader, and we bring a little swagger to how we show up. The marketing team is remote-first, with teammates spread across the world. We work hard, hold a high bar for our craft, and act as trusted advisors across the org.
The Role
Outreach is seeking an experienced, full-time Public Relations Manager to help lead how we communicate our corporate narrative, product innovations, and market leadership. You'll research, write, and edit press releases, bylines, speeches, internal communications, and other strategic content, while owning key pieces of our PR strategy from concept to execution.
This role is built for someone focused on the media landscape: hungry to land the big story, skilled at building and maintaining relationships with reporters, driven to win major awards, and full of ideas for creative campaigns and events that raise Outreach's profile. You'll bring both strong individual craft and the experience to help shape and execute our broader PR strategy. This is a high-visibility role that partners with every department at Outreach, so expect to work with a wide range of people and stakeholders.
This role reports to the Director of Communications.
At Outreach, we're building AI into how we work, and communication is no exception. We're looking for someone who brings genuine curiosity about AI-powered tools to this role: from media monitoring and sentiment analysis to content drafting and performance tracking, the best PR pros are already using AI to work smarter and tell stronger stories.
Senior GTM AI Advisor
About the Team
Our AI Advisors are where the promise of the platform becomes real for our customers. We act as trusted advisors — to our customers and to each other — partnering across Sales, Product, Marketing, and Professional Services as one team working toward the same outcome: customers who see measurable value and keep coming back for more. AI is part of how we get there — sharpening the insights we bring to every customer conversation. We lead with a customer-first mindset, take ownership of the results we commit to, and bring the curiosity to keep learning as the way our customers' work continues to evolve.
The Role
We're looking for a strategic, data-driven Senior AI GTM Advisor to partner with customers in maximizing value from our platform — leveraging AI to drive efficiency, adoption, and business outcomes. This role blends traditional CSM responsibilities with a strong focus on AI enablement, insights, and automation. AI is transforming how our customers operate, and this role makes sure they adopt it while they realize its full value, moving from manual processes to intelligent, automated workflows that drive real business impact.
Success in this role shows up in the numbers our customers and Outreach both care about; Net Revenue Retention, Gross Retention, and AI feature adoption; because when customers realize value, growth follows.
Lead Sales Engineer (Remote)
Data quality is the bottleneck of the AI era. Every Fortune 500 is trying to solve it. We're the team they call.
Soda is the data quality layer for Disney, Ralph Lauren, CBRE, HelloFresh, 2K Games, and Nubank. The category is growing rapidly because AI doesn't work on bad data.
We're hiring a remote Lead Sales Engineer to own the technical side of our biggest enterprise deals and to bring up the SEs behind you. Direct line to the CRO, Director of Customer Engineering, and product team - no layers.
Who this is this for
Sales Engineers who've already done the job well and want more than another quota to support. You've owned the technical win on enterprise deals, and you're already the person junior SEs come to after a demo went sideways.
If you want a big-company SE org with an enablement team, this isn't it. If you want the hardest deals and the machine that makes everyone else better at them, this is it.
What you'll do
- Own the technical win on our largest enterprise deals - first technical call through architecture review, security review, PoC, and closed-won
- Scope PoCs against the customer's stated success criteria, and hold the scope so evaluations actually finish
- Own technical and security responses on RFPs, including SOC 2 and infosec questions from regulated buyers
- Ramp new US SEs - their onboarding, their first demos, and the call on when they're ready to go solo
- Coach demos and run technical deal reviews. Tell people what didn't land and why
- Build the reusable stuff - demo environments, PoC templates, competitive positioning
Hiring process
- Phone screen interview - 15 minute call with a founder
- Recorded demo - We'll give you access to the product. You'll record a short demo of Soda to a hypothetical customer.
- Deep dive interview - one deal you won, one you lost, and scoping a PoC from a short scenario
- Culture fit with the team
What you might not love
- Priorities move. Expansion phase, a lot of work, not a lot of process.
- No enablement team. If the PoC template doesn't exist, you write it.
Must have
- 6+ years as a Sales Engineer, Solutions Engineer, or Solutions Architect at a B2B SaaS company, on enterprise deals - $100K+ ACV, multiple stakeholders, three-month-plus cycles
- You've developed other SEs - onboarding, demo coaching, or mentoring. Tell us who you brought up and what you actually did
- Fluent in Python and SQL - you can read, write, and debug both in front of a customer
- Strong customer communication - clear, calm, and honest under pressure. You can explain something technically complex to a Data Engineer and to a CDO in the same conversation
- You give feedback that lands - specific, about the work and not the person. You'd rather have the awkward conversation this week than the same one in three months
- Builder mentality, humble, high-horsepower - you write docs without being asked, you'd rather automate a task than repeat it, and you'd rather learn what you're missing than bluff it
- Based in the US
Nice to have
- Experience selling data quality, governance, or observability tools
- Experience selling into regulated industries - financial services, pharma, energy, insurance
- Data stack fluency - Snowflake, Databricks, BigQuery, dbt, Airflow, Kafka
- Interest in growing into a management track
- Base salary: $160,000-$180,000
- Equity - everyone full-time at Soda is a shareholder
- Location: Remote (US-based)
- Benefits: PTO, 401k, medical insurance
Senior Analytics Engineer
Senior Analytics Engineer
Overview
HarmonyCares is a leading national value-based provider of in-home primary care services for people with complex healthcare needs. Headquartered out of Troy, Michigan, HarmonyCares operates home-based primary care practices in 14 states. HarmonyCares employs more than 200+ primary care providers to deliver patient-centered care under an integrated, team-based, physician-driven model.
Our Mission – To bring personalized, quality-based healthcare to the home of patients who have difficult accessing care.
Our Shared Vision – Every patient deserves access to quality healthcare.
Our Values – The way we care is our legacy. Every interaction counts. Go the extra mile. Empower and support each other.
Why You Should Want to Work with Us
- Health, Dental, Vision, Disability & Life Insurance, and much more
- 401K Retirement Plan (with company match)
- Tuition, Professional License and Certification Reimbursement
- Paid Time Off, Holidays and Volunteer Time
- Paid Orientation and Training
- Great Place to Work Certified
- Established in 11 states
- Largest home-based primary care practice in the US for over 28 years, making a huge impact in healthcare today!
More details about the benefits we offer can be found at https://careers.harmonycares.com/benefits.
Responsibilities
The Senior Analytics Engineer transforms complex healthcare business needs into scalable, governed, and analytics-ready data solutions. This role is highly collaborative, requiring deep healthcare data expertise and the ability to design, develop, and iterate on high-quality analytics solutions that power insights and decision-making. This position works closely with clinical and operational stakeholders to develop trusted datasets, semantic models, and data products that enable reporting, advanced analytics, and measurable outcomes across the organization. The role emphasizes building sustainable data foundations, improving data quality, and enabling both productized insights and self-service analytics at scale.
Essential Duties and Responsibilities
- Collaborate across clinical, operational, and business teams to deeply understand business processes and workflows, translating needs into scalable data models, curated datasets, standardized metrics, and AI-ready data assets that support analytics, machine learning, and decision-making
- Simplify and operationalize complex data and AI requirements by decomposing problems, identifying key assumptions, and designing maintainable, production-grade data and feature pipelines
- Design, build, and optimize data transformation pipelines and analytics models using cloud platforms (e.g., Azure Data Factory, Databricks, Microsoft Fabric)
- Develop and maintain feature engineering pipelines to support machine learning use cases (e.g., risk scoring, readmission prediction, utilization forecasting)
- Build reusable data marts and feature stores that serve both BI and AI/ML workloads
- Partner with data scientists and ML engineers to prepare high-quality, model-ready datasets and ensure consistency between training and inference data
- Help embed AI/ML outputs into clinical and operational workflows (e.g., alerts, prioritization queues, decision support tools)
- Develop and optimize semantic models, curated datasets, and dashboards in Databricks/Power BI/Tableau, ensuring alignment with standardized metrics and ML-derived insights
- Work hands-on with healthcare datasets, including claims, clinical, and operational data, ensuring correct interpretation for both analytics and ML use cases
- Ingest, transform, and normalize healthcare data using standards such as ICD-10, CPT, NDC, ensuring interoperability and consistency
- Employees will be required to perform other job-related assignments as requested
Qualifications
Required Knowledge, Skills and Experience
- Bachelor’s degree in information technology, Computer Science, or a related field, or equivalent experience
- 5+ years of experience working with healthcare data in analytics engineering, data engineering, or related data-focused roles, with increasing ownership of data modeling and analytics solutions
- Strong prior experience working with claims and clinical datasets across payer and/or provider environments, with the ability to translate data into actionable insights
- Prior experience designing and building scalable data models, curated data marts, and semantic layers to support BI and analytics use cases
- Deep understanding of healthcare data standards and vocabularies (e.g. ICD-10, CPT, SNOMED) and their application in analytics and interoperability use cases
- Experience with cloud data platforms (Azure preferred; AWS or GCP acceptable), including modern data stack components such as data lakes/lakehouses, distributed processing (e.g., Databricks/Spark), and orchestration tools
- Strong proficiency in SQL and experience with at least one programming language such as Python or Scala, with an emphasis on data transformation, validation, and performance optimization
- Familiarity with feature engineering and preparing ML-ready datasets, including assembling training datasets and supporting data pipelines for predictive use cases
- Demonstrated ability to move from ambiguity to clarity by translating business problems into structured data solutions, with a focus on scalability over one-off builds
- Experience in a healthcare services, payer, or provider organization
- Strong communication skills with the ability to translate complex technical concepts into business-friendly insights and influence both technical and non-technical stakeholders
- Hands-on experience with Databricks (Spark, notebooks, Delta Lake, workflows) preferred
- Knowledge of CI/CD, infrastructure-as-code, or data platform automation preferred
Preferred Knowledge, Skills and Experience
- Prior experience with healthcare integration engines like Rhapsody, Mirth etc.
- Prior experience with data governance, HIPAA compliance, and PHI handling
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Principal Software Development Engineer
About the Team & Role
- Own end-to-end systems architecture across data pipelines, AI/ML platforms, semantic layers, and application interfaces — designing for modularity, scale, and durability from day one.
- Build and evolve the data integration layer: ingestion, normalization, and orchestration across structured and unstructured sources, using API-first design principles (REST, GraphQL, gRPC) and real-time streaming technologies like Kafka and Apache Pulsar.
- Architect the semantic intelligence layer: knowledge graphs, ontology design, vector embeddings, and RAG techniques that give Auger context-aware reasoning across the full enterprise data fabric.
- Design and operate scalable AI/ML platforms for training, deployment, and model lifecycle management — integrating LLMs, embeddings, and multimodal models into production applications via MLOps tooling (MLflow, SageMaker, Databricks).
- Drive AI into the application layer: partner with product and design to ship agentic, adaptive user experiences that surface intelligence at the moment operators need it.
- Set architectural direction across the platform: make layer boundaries, evolution strategies, and tradeoffs explicit — and document decisions the team can execute against with confidence.
- Raise the bar on operational rigor: fault tolerance, high availability, observability, and performance at enterprise scale are non-negotiable properties, not afterthoughts.
- Mentor engineers on system design, coding standards, and operational excellence — and hold a high bar on what ships.
- Bachelor or Master's degree in Computer Science, Engineering, or a related field.
- 10+ years of experience in systems architecture, software engineering, and platform development — with a proven track record building scalable data platforms or AI-driven systems at enterprise scale.
- Deep programming expertise in Python, Java, or C++, and hands-on experience building distributed systems in cloud-native environments (Azure, AWS, or GCP, including multi-cloud).
- Fluency in real-time data processing and analytics frameworks (Spark, Kafka, Flink) and big data technologies (Databricks, Snowflake, Hadoop).
- Advanced understanding of semantic modeling, knowledge graphs, and ontology design — including graph databases, graph embeddings, link prediction, and GNNs.
- Hands-on experience with AI/ML pipeline design and deployment, including frameworks such as TensorFlow, PyTorch, or equivalent, and familiarity with architectural patterns including microservices, event-driven architectures, and domain-driven design.
- Technical leadership through ambiguity: you set direction, communicate tradeoffs clearly to technical and non-technical partners, and write crisp architecture decisions when the stakes are high.
Staff ML Engineer, Agent Training & Environments
Sr. Event Marketing Manager, Field Programming
Solutions Architect - Financial Services
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