The Solutions Engineer Team

We believe Solutions Engineers at Okta are involved in all stages of the customer’s digital transformation.  Solutions Engineers are experienced in using presentations, email, phone, and social media to connect with customers virtually and in person. We are looking for great teammates who can build and deliver sales presentations and customized product demonstrations to educate Okta’s Customers (from developers to product managers to C-level executives) on best practices throughout their cloud security technology journey. We believe Okta’s Solutions Engineers empathize with Customers and quickly discern their true technical needs by asking detailed, clarifying questions while presenting solutions that specifically address those needs. Okta Solution Engineers have the rare combination of technical acumen and business insight; in a career where you can utilize both. As a Solutions Engineer at Okta, you will further develop each of these skills by advising a diverse set of customers on the value they will gain by using Okta’s Identity Platform.

The Solutions Engineer Opportunity

Reporting to the Senior Manager, Solutions Engineering, the Solutions Engineer is a functional business consultant who will partner with Commercial Account Executives and have  a passion for technology and the advanced ability to develop, position, and demonstrate product-specific solutions during sales cycles, while achieving quarterly and annual sales goals for an assigned territory.

What you’ll be doing

• Work alongside the Corporate/Expansion (employee size 300-1249) sales team as the technical and domain expert of a customer-facing sales team to help Customers understand the value of Okta’s solutions
• Understand customer challenges and business issues, and provide product demonstrations to align our solutions with customer needs
• Answer product feature and technical questions from customers, partners, and Okta colleagues
• Plan and deliver Proof Of Concepts for customers who have more complex use cases, collaborating with other Okta engineering teams as needed
• Provide feedback to product management about product enhancements that can address customer needs and provide additional value
• Share and learn best practices and reusable assets with other Solutions Engineers to enhance the quality and efficiency of the team
• Stay current on competitive analysis and market differentiation
• Support marketing events, including executive briefings, conferences, user groups, and trade shows

What you’ll bring to the role

• 5+ years of pre-sales engineering experience, selling SaaS products.
• A passion to serve the Customer, demonstrated in a customer-facing role, such as consulting or support, but ideally in a pre-sales capacity.
• An ability to quickly communicate complex ideas around a technical topic, ideally on the fly, using a whiteboard.
• Experience with at least one standard network security protocol. (eg. OAuth, OAuth2, SAML, LDAP)
• Hands-on experience in one or more of the following areas: web (JavaScript, HTML, frontend frameworks) development, mobile (iOS, Android) development, backend (Java, C#, Node.js, Python, PHP, Ruby) development, IP-based real-time communications.
• An understanding of core security concerns within a typical application. (password hashing, SSL/TLS, encryption at rest, XSS, XSRF)
• Exceptional communicator.
• Confidently dispensing knowledge to highly-skilled and experienced audiences.
• Typically, 25% travel.
• A bachelor's degree in Engineering, Computer Science, MIS, or a comparable field is preferred.

You might also have (not mandatory):

• AI & Emerging Tech: Expertise with Agentic AI and LLM-based workflows. You understand the use cases for AI agents, both internal and external, and have familiarity with MCP servers.
• Diagramming experience for user journey flows, complex architecture diagrams, etc.
• Experience in the IAM space

#LI-Remote

#LI-CM

P9259_3401412

About the Role

We are seeking an experienced Senior Software Engineer to join one or more product engineering teams building mission-critical Point of Sale and eCommerce SaaS platforms. This role balances technical execution, hands-on development, and cross-functional collaboration in a highly regulated, high-availability environment.

You will contribute to delivering secure, scalable, and reliable payment solutions while upholding a strong engineering culture.

Key Responsibilities

Technical Execution & Development

• Write, review, and maintain high-quality code across backend, frontend, and/or mobile systems.
• Uphold coding standards and architecture best practices.
• Participate in design and code reviews, contributing constructive feedback to peers.
• Contribute to technical documentation and architectural designs.
• Champion a culture of accountability, quality, and continuous improvement.

Cross-Functional Collaboration

• Communicate technical ideas and plans clearly in team settings.
• Translate product and business goals into well-scoped technical solutions.
• Communicate progress, risks, and tradeoffs to engineering teams and stakeholders.
• Work closely with customer support and operations on merchant-impacting issues.

Delivery & Engineering Excellence

• Partner with Product, Design, Compliance, SRE, and Operations to deliver POS, payment, loyalty, gift card, and other features end-to-end.
• Contribute to sprint planning, delivery predictability, incident follow-ups, and technical debt management.
• Implement and advocate for best practices in code quality, testing, observability, and CI/CD.
• Help guide architectural decisions for high-throughput, low-latency systems.

Cloud-Based Point of Sale & Platform Features

• Inventory Management and PO sync: Items matrices, Vendor Catalog, Purchase Order Management, Multi-store inventory.
• CRM: Customer details capture, purchase history tracking, targeted marketing campaigns, gift card management, and loyalty rewards.
• Sales & Promotions: Custom discounts, bulk pricing, time-sensitive promotions, and bundled offers.
• Reporting & Analytics: Detailed dashboards and exportable reports covering best-sellers, profit margins, and more.
• Employee Management: User roles, time tracking, permissions, and cross-location metrics.
• Payment: Integration with Quilt Payment or external payment providers.
• eCommerce Sync: Integration with Quilt's internal eCommerce module or platforms like Shopify and DoorDash.
• Support platform reliability, uptime, and data integrity for merchants and partners.
• Participate in incident response and post-mortems, contributing to long-term fixes.
• Support PCI DSS, SOC 2, and other compliance requirements.

Required Qualifications

• 5+ years of software engineering experience.
• Hands-on, full-stack development experience with React (frontend) and PHP/MySQL (backend) .
• Experience building and operating SaaS platforms at scale.
• Strong understanding of modern backend systems (APIs, microservices, databases, cloud infrastructure).
• Experience working in regulated or compliance-heavy environments with strong technical documentation practices.
• Effective communicator with the ability to collaborate across teams.

Preferred Qualifications

• Experience with POS systems, eCommerce, or fintech 
• Familiarity with PCI DSS, SOC 2, or financial compliance standards.
• Experience with cloud platforms (AWS, GCP, or Azure).
• Background in distributed systems, event-driven architectures, or real-time transaction processing.

What We Offer

• Opportunity to build software that powers real-world commerce at scale.
• Competitive salary and equity package.
• Comprehensive benefits (health, dental, vision, 401k, etc.).
• Flexible work environment.
• Strong emphasis on engineering quality and career growth.

Location: In-Person: Irvine, CA, Charlotte, NC or Provo, UT
Salary: 115-130k base Salary + Bonus

Shopmonkey's vision is to help every shop thrive by equipping them with the tools they need to run and grow their business. Our cloud based all-in-one shop management software takes owners and technicians from quote to cashing out a satisfied customer. Our software has a modern and intuitive UI and our backend is powered by the latest technologies so our clients can focus on the things they do best. As a Senior ML Engineer at Shopmonkey, you will be a part of a globally distributed engineering team working closely with your product and design counterparts. You will have the chance to work on the frontier of ML modeling, data pipelines, MLOps, and agentic AI systems to meet real-world auto shop needs. Shopmonkey has the structured data, workflows, and operational maturity to deliver ML powered systems that are not only intelligent but trusted and useful. You’ll move fast to bring ML systems from discovery all the way through production, helping to shape the future of the automotive care experience. For any Bay area based candidates, this would be hybrid with 2-3 days/week office at our Morgan Hill, CA office for collaboration. 

What you will do:

• Design, build, and ship production-ready ML models across a range of problem spaces: regression, classification, clustering, ranking, and recommendation systems.
• Conduct end-to-end development of ML systems: data gathering, experimentation, feature engineering, model training, evaluation, deployment, and monitoring.
• Define and track model performance metrics, run A/B tests, and iterate based on real-world feedback.
• Help design and implement shared feature stores so that reusable features can serve multiple models consistently in both batch and real-time contexts.
• Work within a modern MLOps environment to ensure scalable and reliable deployment of models.
• Contribute to training infrastructure, model versioning, and CI/CD pipelines for ML workflows.
• Work closely with data scientists and data engineers to develop data driven solutions that are high impact for businesses.
• Translate complex ML workflows into digestible updates for cross-functional stakeholders.
• Contribute to backlog velocity by owning appropriate tickets and delivering high-impact work in a collaborative, fast-paced environment.
• Implement NLP and LLM-powered components for sentiment analysis, real-time conversation evaluation, and behavior optimization.
• Contribute to analytics and predictive features such as no-show prediction and sentiment dashboards.
• Help build and ship AI agents that help automate key auto-shop business processes.

We are looking for people who have:

• Minimum of 5+ years of industry experience in applied machine learning; advanced degrees (Master’s or PhD) may offset years of experience.
• Proven experience shipping models into production (not just proof-of-concepts or notebooks).
• Proficiency in Python; experience with ML frameworks like PyTorch or Tensorflow.
• Strong foundations in classical ML/DL. Including some of the following: regression, classification, clustering, ranking, feature engineering, model evaluation, and experimentation.
• Bachelor’s degree in a STEM field, or equivalent practical experience.
• Strong collaboration and communication skills—comfortable working with PMs, designers, engineers and other cross functional team members.

Nice to have:

Candidates should have some experience in one or more of the following areas.

• Understanding of MLOps principles: model versioning, orchestration, evaluation, monitoring, model serving, and CI/CD for ML. 
• Understanding of MLOps, and experience with modern tooling like MLFlow, DVC, Airflow, etc.
• Experience with LLMs and NLP frameworks (e.g., TensorFlow, Hugging Face, LangChain).
• Experience with/interest in LLM workflows and agentic workflows
• Cloud infrastructure experience, (e.g. GCP, AWS).
• Familiarity with vector databases (e.g. Pinecone, pgvector) and embedding-based retrieval or similarity search.
• Strong SQL skills for working with large-scale data.
• Experience designing or contributing to feature stores (e.g. Feast, VertexAI Feature Store, Tecton) for shared, reusable feature pipelines.

Bonus Points:

• Prior experience working at a high growth startup.
• Experience building consumer-facing agents in vertical SaaS, in the automotive industry (business or consumers).
• Background in data processing or real-time analytics.
• Experience with Snowflake or other large-scale data warehouse solutions.

In the United States, the range is typically a salary of $165,000 to $200,000 + bonus + equity + benefits. The range provided is Shopmonkey’s reasonable estimate of the base compensation for this role. The actual amount will be based on job-related and non-discriminatory factors such as location, experience, training, skills, and abilities. Consult with your Recruiter during the initial call to determine a more targeted range based on these job-related factors. In addition to this base compensation company stock options and benefits as outlined below are included.

About Octave

Octave is a modern mental health practice that offers both in-person and virtual therapy. We focus on making high-quality care more accessible and affordable by partnering with insurance providers. Our goal is to support clients and clinicians with a system built on equity, effectiveness, and sustainability.

About the Role

Octave is seeking to partner with existing group practices in the Raleigh and Durham areas that want to provide excellent mental health care, both in-person and virtually. As an Octave partner, your team will join a supportive community of clinicians focused on client-centered, evidence-based therapy. 

At Octave, we take care of all backend operations so your clinicians can focus on providing care. Our team manages credentialing, billing, marketing, technology support, and client referrals. This allows your clinicians to focus primarily on seeing the clients we connect them with and completing session documentation, removing the administrative burden from your group practice.

Your providers will support adult clients managing stress, anxiety, depression, and related concerns. We emphasize evidence based practices such as CBT and DBT with a strong commitment to culturally responsive care. 

What You’ll Do

• Provide therapy to adults dealing with stress, anxiety, depression, and other concerns.
• Use short-term, evidence-based approaches like CBT or DBT.
• Offer culturally responsive care.
• See clients virtually and/or in person (you must have your own office space to hold in-person sessions).

Qualifications for Group Practices

• Must have at least 3 or more fully licensed clinicians who would be joining Octave.
• Required to have your own office space and are willing to provide in-person services.
• All clinicians must be fully licensed (no associate or intern level providers).
• Licensed in North Carolina (PsyD, LCSW, LMFT, LCMHC).
• Must be licensed and in good standing with your governing licensing board.
• At least 1 year of post-license experience (2+ preferred).
• Training in therapies such as CBT, DBT, trauma-focused treatments, or similar.
• Certain payor relationships may exclude you from employment.
• Master’s Degree or higher from an accredited school of Social Work, Psychology, Counseling or Marriage, or Family and Child Counseling.

Octave's Company Values: 

The below values drive our day-to-day operations.

• We’re human beings first. We operate with empathy and kindness – with our clients, with our collaborators, and with ourselves.
• People deserve better than status quo. We’re willing to tackle the intractable problems, no matter how big, because someone should. We ask big questions, we craft big solutions, and we challenge ourselves and others to make it happen.
• No bystanders. No stars. No tourists. Each person has been selected to be here, and with that comes a responsibility to bring your expertise, share your ideas, and help make this company better.
• Partnership paves the path ahead. We don’t operate in a silo, internally or externally. To transform the system, we believe in working with others to create something bigger, better, and stronger.
• Quality is crucial at scale. Quality is core to our business, and we refuse to sacrifice it as we grow.
• Progress is a process. In the pursuit of progress, we iterate, reflect, learn, adjust – and always leave things better than we found them.
• There are people behind every data point. We recognize that numbers tell only one part of the story, and we also do the work to understand impacts at the individual level.

Physical Requirements: 

• Prolonged periods sitting at a desk and working on a computer. 
• Must be able to frequently communicate with others through virtual meeting applications such as Zoom and Google Meet. 
• Must be able to observe and communicate information on a laptop. 
• Move up to 10 pounds on occasion. 
• Must be eligible to work in the United States without sponsorship now or in the future.
• Octave’s policy requires that all clinical sessions be conducted while you are physically located in the United States.

System Requirements

Octave IT supports these minimum system requirements for the most optimized experience using Octave telehealth tools:

• Computers that are Mac OS (Ventura or later) and Windows OS (10/11)
• Computers kept up with the most recent security updates
• An unmanaged device (a device not provided to you by another company/organization)

Additionally, Octave IT does not support using iOS, Android, or ChromeOS as your primary device.

Compensation

Starting pay for qualified applicants will depend on a combination of job-related factors, which may include education, training, experience, location, business needs, or market demands. The expected salary range for this role is set forth below and this range may be modified in the future.

The hourly compensation range for this role is listed below dependent on licensure:

• In-Person Rates:
  $63-$118/hour for master's level license.
  $73-$123/hour for doctoral-level license.

  Virtual Rates:
  $60-$115/hour for master's level license.
  $70-$120/hour for doctoral-level license.

ECOSEC

What We Do

Our ECOSEC team provides a safer experience for Epic's users. We work across multiple products and services to improve technology and craft transparent policies so our players and users can have positive experiences on our platforms.

What You'll Do

Epic Games is looking for a Senior Security Engineer focused on Game Security to develop and improve anti-cheat capabilities within our games. Your efforts will be critical to the success of Fortnite and the many creators who depend on it. The ideal candidate would have prior experience in developing gameplay features and backend services. We are particularly interested in those that have prior experience working with Unreal Engine. Your primary focus will be on the dedicated server and backend code, but you will partner closely with teams writing client code as well as game teams, ensuring that the underlying systems that are built are full-featured, resilient, and secure. This is an incredible opportunity to create a safe environment for millions of players and advance industry best practices.

In this role, you will

• Design and build new backend services or features that power Fortnite anti-cheat or related security capabilities, as well as implementing corresponding game code
• Read, debug, and write code for Fortnite in C++ and associated backend services in Go
• Proactively seek out vulnerable components in the Fortnite game client or backend, then clearly communicate the problem and recommended solution, implementing it as well if appropriate Influence others to maintain a security oriented mindset
• Debug, modify, and optimize existing security systems for both the Fortnite game client and backend components
• Ensure Fortnite is operating well for players and that our services are resilient at scale. Assist in diagnosing and resolving Live issues

What we're looking for

• BSc in Computer Science/Software Engineering or related subject - candidates without a degree are welcome as long as they have proven extensive hands-on experience
• Excellent knowledge and debugging skills in the C++ programming language
• Fluency in Go, Java, C#, or similar programming language
• Self-starter, you approach challenges creatively and methodically, seeing them through to final resolution
• Ability to code and architect system frameworks, new APIs, and tools. Versed in software programming principles
• Understanding of online multiplayer video game architectures
• Technical understanding of the structure and technology stacks of online service backends
• User-focused, passionate, solutions-focused, and innovative. These traits equal success at Epic and influence everything we do

EPIC JOB + EPIC BENEFITS = EPIC LIFE

Our intent is to cover all things that are medically necessary and improve the quality of life. We pay 100% of the premiums for both you and your dependents. Our coverage includes Medical, Dental, a Vision HRA, Long Term Disability, Life Insurance & a 401k with competitive match. We also offer a robust mental well-being program through Modern Health, which provides free therapy and coaching for employees & dependents. Throughout the year we celebrate our employees with events and company-wide paid breaks. We offer unlimited PTO and sick time and recognize individuals for 7 years of employment with a paid sabbatical.

ENGINEERING - GAMES

What We Do

Unreal projects have been leading the pack of real-time entertainment with our constantly growing team of engineering experts. We’re always improving on the tools and technology that empower content developers worldwide.

What You'll Do

We are a new and growing team at Epic, aiming to build innovative new experiences and technology. As a Senior UI Programmer, you will play a critical role on a small and focused team. You will be responsible for core UI features and supporting collaborative development between programmers, designers, and artists. You will have opportunities to work on various initiatives, get hands-on with cutting-edge technologies, and work with talented internal and external teams, all while building impactful experiences from concept to delivery.

In this role, you will

• Envision, plan, refactor and implement new features with a systemic approach like hud widgets, hud markers, minimap, mission flow, activity feed, conversation/interaction menus and more
• Write robust, maintainable code with a focus on generic modularization and the future
• Optimize and fix bugs in new and legacy systems
• Integrate backend systems in support of the player experience
• Collaborate with the cross-disciplinary team on cutting-edge features that support player experiences in our game and potentially across the Fortnite ecosystem
• Work closely with backend developers to align on service and client goals
• Work closely with art and design leads to ensure that UI meets aesthetic and functional requirements

What we're looking for

• Exceptional C++ programming skills
• Experience developing features for games across multiple platforms
• Significant experience developing online multiplayer games or other interactive real-time technology applications with a strong online component
• Interest in social, frontend, and gameplay-adjacent areas of game development
• Ability to empathize with users and to balance the inherent tradeoffs in developing with great user experiences in mind
• Keen analytical mind and mature problem-solving skills
• Strong teamwork and cross-discipline collaboration skills, including the ability to deliver and respond to constructive feedback
• Unreal Engine development experience preferred

EPIC JOB + EPIC BENEFITS = EPIC LIFE

Our intent is to cover all things that are medically necessary and improve the quality of life. We pay 100% of the premiums for both you and your dependents. Our coverage includes Medical, Dental, a Vision HRA, Long Term Disability, Life Insurance & a 401k with competitive match. We also offer a robust mental well-being program through Modern Health, which provides free therapy and coaching for employees & dependents. Throughout the year we celebrate our employees with events and company-wide paid breaks. We offer unlimited PTO and sick time and recognize individuals for 7 years of employment with a paid sabbatical.

Target RWE is seeking a Senior AI/ML Engineer to join our Technology team and help shape the next generation of real-world evidence solutions. In this hands-on role, you will design, develop, and deploy scalable machine learning systems — with a particular focus on large language model (LLM) applications. These systems enable our researchers, statisticians, and clinical teams to extract deeper insights from complex healthcare data. Your work will directly support Target RWE’s mission of advancing clinical research and informing better healthcare decisions at scale.

This is a highly collaborative position. You will partner closely with software engineers, data scientists, research scientists, and product managers to build high-performing, reliable, and scalable ML-native platforms. You will also serve as a technical leader within the Engineering team, helping cultivate a strong ML engineering culture and staying at the forefront of rapidly evolving AI technologies. This role reports to the Director of Engineering.

This is a role for someone who thrives at the intersection of cutting-edge AI research and production-grade engineering. The right fit is someone who can translate state-of-the-art methods into durable, enterprise-ready systems while understanding the requirements of clinical research. This is an exceptional opportunity for someone excited about applying AI to transform how clinical evidence is generated and used.

What You’ll Do

• Design, develop, and deploy scalable ML software systems to address large-scale analytical challenges in healthcare and real-world evidence generation.
• Translate state-of-the-art LLM research — both internally developed and from the broader research community — into production-ready solutions that deliver measurable value for our customers and internal teams.
• Work with complex, large-scale, real-world clinical data (structured and unstructured) in a cloud-based environment, ensuring quality and reliability across the data pipeline.
• Develop methods and features to ensure high-quality production model results, including drift detection, performance degradation monitoring, and observability tooling.
• Collaborate with software engineers, research scientists, and product teams to build ML-native enterprise platforms, ensuring scalability, efficiency, and reliability at every layer.
• Ensure robust monitoring, logging, and error handling for all deployed ML systems.
• Stay current on the latest advancements in machine learning and AI, and proactively identify opportunities to apply relevant innovations to Target RWE’s platform.
• Cultivate a strong ML engineering culture across the organization, contributing to best practices, code reviews, documentation, and technical mentorship.
• Partner with cross-functional stakeholders to translate complex technical concepts and model outputs into clear, actionable insights for non-technical audiences.

What You’ll Bring

• 5+ years of experience in backend and cloud platform software development, with the flexibility to traverse the stack when necessary.
• Fluency in Python.
• Strong familiarity with modern ML and LLM techniques, frameworks, and tooling.
• Demonstrated experience developing and maintaining high performing, scalable, data-centric enterprise software products.
• Strong problem-solving skills and meticulous attention to detail in technical design, implementation, and documentation.
• Excellent communication skills, with the ability to clearly articulate complex technical concepts to non-technical stakeholders.
• Collaborative team player who thrives in a cross-functional environment alongside engineers, researchers, and product managers.
• Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field, or equivalent practical experience.

Nice to Have 

• Experience in 0-to-1 development of end-to-end ML systems, including design, training, inference, deployment, and monitoring.
• Hands-on experience with LLMs in production environments, including fine-tuning, prompt engineering, or retrieval-augmented generation (RAG).
• Experience building the plumbing necessary for RAG-based approaches, including data vectorization, vector stores, and various search methodologies.
• Background in healthcare, clinical informatics, or life sciences, with familiarity with real-world clinical data sources (EHR, claims, registries).

If you are ready to be part of a team where your work truly matters - where your expertise is valued, your growth is supported and your contributions help shape the future of healthcare, Target RWE is the place for you. We’re building something meaningful together, and we’d love for you to be a part of it. 

What we offer you

• Hybrid work — 3 days/week in our brand-new office!
• Comprehensive health, dental, and vision for you and your family
• 401(k) with company match
• Generous PTO and company holidays
• Paid parental leave 

At Target RWE, our mission is driven by a deep commitment to people—whether it’s the patients we serve, the partners we collaborate with, or the dedicated team members who power our work. As a purpose-driven organization, we leverage real-world data to advance clinical research and inform better healthcare decisions. We foster a collaborative environment where every voice is heard, every idea has an impact, and every contribution helps improve lives. If you're seeking a place where your work truly matters, join us to advance science. 

We are seeking a talented Data Engineer to join our Technology team. In this role, you will develop, create, and modify computer application software and databases to drive operational efficiency and improve business processes. You will collaborate closely with stakeholders to analyze user needs, design custom software solutions, and implement scalable, reliable applications that support Target RWE’s mission.

What You’ll Do

• Design and implement data pipelines and software solutions that promote operational efficiency and scalability.
• Analyze business requirements and work with stakeholders to translate needs into technical solutions.
• Write clean, maintainable code primarily in Python, with a strong emphasis on SQL for data manipulation and transformation.
• Support and optimize cloud-based data infrastructure (AWS preferred).
• Develop and modify databases to support internal applications.
• Collaborate with operations and product teams to support deployment, testing, and maintenance.
• Help troubleshoot production issues and contribute to ongoing improvement efforts.
• Stay up to date on relevant tools, technologies, and best practices.

What You’ll Bring

• 3+ years of software development experience, ideally in data engineering, data platform development, or backend systems.
• Strong proficiency in SQL and Python.
• Experience with cloud platforms (AWS, GCP, or Azure) and working in cloud-native environments.
• Familiarity with version control and CI/CD tools (e.g., GitLab, GitHub Actions).
• Strong problem-solving and communication skills.
• Ability to work independently and manage tasks with moderate supervision.

Nice to Have 

• Experience working with or developing machine learning pipelines or models.
• Exposure to Generative AI or LLM frameworks (e.g., Langchain, LangGraph).
• Knowledge of distributed computing concepts or tools (e.g., Spark, Dask).
• Background in healthcare, life sciences, or clinical data.
• Bachelor’s degree in computer science, engineering, or a related field (or equivalent practical experience).

If you are ready to be part of a team where your work truly matters - where your expertise is valued, your growth is supported and your contributions help shape the future of healthcare, Target RWE is the place for you. We’re building something meaningful together, and we’d love for you to be a part of it. 

What we offer you

• Hybrid work — 3 days/week in our brand-new office!
• Comprehensive health, dental, and vision for you and your family
• 401(k) with company match
• Generous PTO and company holidays
• Paid parental leave 

PRODUCT MANAGEMENT

What We Do

Product Management partners with game development, publishing, marketing, and platform teams to provide a data and market-driven view of product strategy that aligns with business goals. As part of Epic’s Growth Team, we use our product expertise to identify and drive growth levers to grow our player base and business.

What You'll Do

As a Product Management Director (Platform), you will collaborate with cross-functional teams to shape the strategy, roadmap, and execution for Epic’s mobile experiences across our suite of products and businesses. You will apply both creative and analytical skills to identify opportunities, define product direction, support feature development, improve performance, and contribute to initiatives that deepen player engagement and satisfaction. In this role, you will balance player experience with business goals, ensuring our mobile efforts deliver impact at scale while aligning with Epic’s broader product vision.

In this role, you will

• Drive the mobile, PC and console product strategy and contribute to a roadmap that expands reach, engagement, and long-term retention on each platform
• Partner with development teams to identify and prioritize feature opportunities, gameplay enhancements, and system improvements that elevate the player experience on each platform
• Work with cross-functional partners to optimize player funnels, in-game experiences, and market readiness across regions
• Partner with engineering teams to prioritize features and enhancements that improve performance and player experience across backend and frontend systems
• Partner closely with analytics teams to define measurable goals, evaluate performance, and ensure recommendations are grounded in clear data and business impact
• Drive alignment across key stakeholders by clearly communicating product requirements, ensuring all stakeholders share a unified understanding of goals and execution plans

What we're looking for

• 6+ years of Product Management experience building and scaling consumer-facing platform products or shared systems across multiple surfaces (e.g., mobile, PC, console)
• Proven track record delivering platform features that power core player experiences such as identity, progression, social systems, or cross-platform continuity
• Strong analytical skills with the ability to leverage data to improve platform adoption, engagement, and overall user experience
• Highly skilled at translating user needs and business goals into scalable, cohesive platform solutions that work seamlessly across devices
• Experience partnering closely with engineering on complex systems and balancing usability, performance, and scalability in platform design
• Demonstrated ability to operate effectively in fast-paced, cross-functional environments with engineering, design, and business stakeholders
• Familiarity with cross-platform ecosystems (PC, console, mobile) and the challenges of delivering consistent, high-quality user experiences across them
• Understanding of player experience drivers such as onboarding, engagement, retention, and ecosystem connectivity—applied at a platform level rather than individual game features
• Passion for building foundational player experiences that connect users across games, devices, and services

EPIC JOB + EPIC BENEFITS = EPIC LIFE

Our intent is to cover all things that are medically necessary and improve the quality of life. We pay 100% of the premiums for both you and your dependents. Our coverage includes Medical, Dental, a Vision HRA, Long Term Disability, Life Insurance & a 401k with competitive match. We also offer a robust mental well-being program through Modern Health, which provides free therapy and coaching for employees & dependents. Throughout the year we celebrate our employees with events and company-wide paid breaks. We offer unlimited PTO and sick time and recognize individuals for 7 years of employment with a paid sabbatical.

About your role

Rocket Lawyer is looking for a motivated and passionate AI/ML Software Engineering Intern to join our team working on Rocket Copilot, our AI assistant launched in December 2023. In this internship, you will collaborate with our cross-functional teams to assist in building a cutting edge AI platform. You’ll have the opportunity to learn from experienced engineers while working on real-world AI/ML projects, helping design, implement, test, and maintain new AI features.

We value a collaborative and supportive work environment, where we celebrate learning and growth. This is a great opportunity for someone eager to expand their skills and contribute to innovative AI solutions.

Responsibilities

• Assist in prompting, evaluating, fine-tuning, and maintaining large language models (LLMs) for AI features
• Support the creation, monitoring, and troubleshooting of backend API services that interact with ML models
• Collaborate with cross-functional teams to integrate AI into existing and new Rocket Lawyer products
• Research and stay up-to-date with industry trends around generative AI and machine learning
• Prototype product features to explore new AI capabilities and write clean, understandable code

What you’ll need

• Currently pursuing a BS, MS, or PhD in Computer Science, Mathematics, Statistics, or a related field.
• Basic understanding of machine learning concepts and algorithms.
• Familiarity with generative AI technologies and models (Deep Learning, RAG, Neural Networks, Agents).
• Interest or experience working with large language models (LLMs) and generative AI.
• Strong programming skills in Python

A bonus if you have

• Experience with backend Python frameworks like FastAPI, Flask, Django, etc.
• Familiarity with vector databases.
• Additional programming skills in languages such as Java, Kotlin, or NodeJS.
• SQL knowledge.
• Interest in building user-facing products.
• Understanding of microservices architectures and distributed systems.

Interview Process

• Recruiter Phone Screen
• Hiring Manager Interview
• Team Interview

ABOUT DSC:

In 2011, Dollar Shave Club didn’t just shake up the shaving aisle—we reinvented it. A viral video put us on the map, and our direct-to-consumer model challenged an entire industry by making great razors accessible, affordable, and actually fun to buy. 

Since then, we’ve grown far beyond blades. From grooming to personal care, we’ve built a lineup of quality essentials designed to make life easier (and smoother), whether you find us online or in stores near you.

Today, DSC is expanding into new categories and new markets, but our DNA hasn’t changed. We’re still here to cut the BS, deliver real value, and bring a little humor to the everyday routine.

So what are you waiting for? Join the Club.

ROLE SUMMARY:

As the Senior Manager, Engineering you will be a pivotal leader responsible for the architectural evolution of our platforms and the modernization of our development practices. You will drive AI-augmented engineering workflows, leveraging generative AI and automation to enhance developer productivity and accelerate the SDLC. Beyond setting the technical vision, you will serve as a champion for engineering excellence, ensuring our systems remain scalable while integrating AI-driven insights into system monitoring and code quality. You will mentor technical leaders to leverage AI in solving complex architectural challenges, fostering a culture of high-velocity, tech-forward delivery.

RESPONSIBILITIES:

• Work collaboratively with Tech Leadership, Tech PM, Enterprise Applications, the Data Team and Product Management to ideate, scope, plan, estimate, coordinate, derisk and deliver large company-roadmap-level solutions
• Champion "AI-First" engineering principles, mentoring the team on how to move from manual, boilerplate-heavy development to high-leverage, automated architectural design
• Establish and govern AI-assisted coding standards, ensuring the team leverages Copilots and automated refactoring tools effectively while maintaining strict security, IP compliance, and code quality benchmarks
• Evaluate and pilot emerging AI technologies within the e-commerce stack to improve search relevance, personalization engines, and automated customer experience workflows
• Identify process bottlenecks and opportunities for continuous improvement of our software delivery processes
• Coach squad tech leads under their purview on consistent software delivery processes
• Partner with Tech PM, Enterprise Applications, Data Services, Digital Product, Lifecycle Marketing, Growth, IT and Finance teams to come up with creative technology solutions to business problems; communicate technical topics effectively to business partners
• Improve visibility into backend engineering projects, architecture and development workflows for business partners
• Translate business needs and priorities for the engineers and ensure that they are aligned with the business; manage performance and uphold deadlines/goals for team members; mentor the team on both Technical and Management aspects
• Attract, hire & retain highly skilled engineers; assess skills & build career development plans for team members
• Raise the general leadership level of the team; set actionable goals for the team, keeping them aligned with our company goals; foster good working relationships both within the team and between backend engineers and their partners; define an optimal org structure within the backend org
• Keep up with the latest trends in Engineering technologies, especially as it relates to AI, e-commerce experience; nurture the platform architecture as we regularly add features to it
• Collaboratively build a Technology platform roadmap and drive the delivery and execution of it; drive continuous testing/integration/delivery best practices for tech platforms
• Foster healthy discussion on technology topics within the team and drive them towards making data-informed decisions; ensure that our production applications and build pipelines are performant, reliable, responsive, maintainable and of high quality with minimal tech debt
• While this position is not expected to be an individual contributor on a consistent basis, a person filling this role is expected to be hands-on enough to be able to jump in and help their team with technical issues or handle production spelunking as needed. To this end, picking a small project or two every now and then to keep in touch with our stack is expected

REQUIREMENTS:

• B.S. in Computer Science or equivalent; MBA specializing in Technology preferred
• 6+ years of software development experience; at least 2 years managing a team of 7+ engineers and managers preferred
• Experience in eCommerce preferred
• Shopify platform and integration experience, experience building and scaling backend microservices, and modern API experience a must
• Ruby, Node, or Python experience with Rails or an equivalent framework
• Experience with internationalization and localization, relational database modeling, and streaming processing applications; ability to continuously deliver
• Preferred experience with cutting edge backend stacks, multiple microservice architectures and frameworks, building billing systems (specifically subscription billing) and shipping, fulfillment, and order management systems; experience with information management systems a plus
• General domain knowledge of Finance and Accounting
• Prior experience with high volume and traffic sites preferred

POSITION TYPE:
This is a full-time exempt position.

WORK ENVIRONMENT:
This position is in-office, working out of our HQ in Durham, North Carolina 4x a week.

SALARY:
$190,000-$205,000 + Bonus

BENEFITS:

• Comprehensive benefit plans with low premium options, including medical, dental and vision coverage, along with supplemental coverage options
• Free life insurance, short term disability and long term disability
• 401(k) plan with a company match of 100% of the first 2%, and 50% of up to an additional 4% with no vesting period
• Unlimited vacation and generous sick time
• Half day Fridays year-round (subject to business needs)
• 12 weeks of fully paid parental leave
• 4 weeks of fully paid disability leave
• Free Dollar Shave Club Products
• Monthly cell phone stipend

APPLICATION PROCESS:
All applications must be submitted via our Applicant Tracking System, Greenhouse, in order to be considered. Once you submit your application, the recruiting team will review your submission and will reach out if your skill sets and/or qualifications match our needs. If selected, you’ll be invited to an initial phone screening interview with a recruiter before meeting with various members of the team. Candidates will be notified if they are not selected for the position. The position will remain open and we'll be accepting applications until the role is filled.

Dollar Shave Club is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to age, race, color, religion, gender, sexual orientation, gender identification, national origin, disability, or protected veteran status.

Reasonable Accommodation: Dollar Shave Club provides reasonable accommodation so that qualified applicants with a disability may participate in the selection process. Please advise us of any accommodations you request in order to express interest in a position by e-mailing: accommodations@dollarshaveclub.com

Please state your request for assistance in your message. Only reasonable accommodation requests related to applying for a specific position within Dollar Shave Club will be reviewed at the e-mail address supplied.

Dollar Shave Club will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the Los Angeles Fair Chance Initiative for Hiring (Ban the Box) Ordinance.

Thank you for considering a career with Dollar Shave Club 

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• E-Verify Participation
• Right to Work

#LI-MK1

We're looking for an Engineering Manager I to lead one of our autonomous feature squads. You'll own the day-to-day engineering leadership of a cross-functional team (1 PM, 1 Designer, 4–5 engineers) responsible for a meaningful area of the Shopmonkey platform. This is not a "project manager with an engineering title" role. You are technical, you are in the code, and you care deeply about how software gets built — not just that it ships. You won't be on the critical path for planned project work, but you'll be deeply involved in guiding your team through every phase of the SDLC: scoping, design, implementation, testing, release, and iteration. Your job is to make your team faster, sharper, and more effective — by coaching, unblocking, and identifying the gaps nobody else sees. You'll also contribute directly to the codebase. Not as a primary feature developer, but as a force multiplier — proactively improving code quality, tackling the work that falls between the cracks, and leading by example when it matters.

Our platform is built on two primary monorepos (backend and frontend) using TypeScript throughout. The stack includes React, Node.js, Next.js, Redux, and Redis on the application side; CockroachDB and ClickHouse for data; Synadia NATS for messaging; and GCP for infrastructure. We use OpenTelemetry and Prometheus for observability, with supporting services in TypeScript and Go. We don't expect expertise across all of these — we're looking for strong fundamentals and the ability to learn quickly.

What you will do:

• Lead a feature squad end-to-end: people, process, and technical direction.
• Own performance management for your engineers — regular 1:1s, growth conversations, honest feedback, and formal reviews.
• Partner closely with your PM and Designer to shape quarterly project plans that balance customer value, technical health, and business impact.
• Guide your team through the full SDLC — you should be competent and opinionated at every stage, from system design through production observability.
• Contribute to the codebase as a technical force multiplier: filling gaps, improving quality, and modeling engineering standards.
• Operate within our quarterly planning and 2-week cycle cadence, helping your squad maintain focus and predictability.
• Build and maintain a healthy remote-first team culture — clear communication, strong async habits, and flexibility balanced against team needs.
• Participate in hiring — sourcing, interviewing, and closing engineering talent for your squad and the broader org.

We are looking for people who have:

• 2+ years of formal engineering management experience, leading a team of software engineers through shipping production software.
• A strong technical foundation — you've built and operated production systems and can earn credibility with senior ICs through your technical judgment.
• Proven ability to coach and develop engineers across multiple levels.
• High emotional intelligence and communication skills. You navigate ambiguity, give hard feedback with care, and build trust quickly — especially important in a remote environment.
• Sound business judgment — you understand why the team is building what it's building, and you push back when priorities don't make sense.
• Experience working in cross-functional product teams (PM, Design, Engineering).
• Comfort with remote-first work across time zones. You value flexibility but put team needs first.

In the United States, the range is typically a salary of $145,000 to $180,000 + bonus + equity + benefits. The range provided is Shopmonkey’s reasonable estimate of the base compensation for this role. The actual amount will be based on job-related and non-discriminatory factors such as location, experience, training, skills, and abilities. Consult with your Recruiter during the initial call to determine a more targeted range based on these job-related factors. In addition to this base compensation company stock options and benefits as outlined below are included.

How You'll Make an Impact: 

As a Senior Fullstack Engineer on the Distribution Team, you'll be instrumental in developing and enhancing the products that connect Cloudbeds' ecosystem to the world's largest distribution channels. You'll architect scalable solutions using modern technologies, contribute to our microservices migration, and ensure our platform delivers exceptional performance and security for thousands of properties worldwide. Your work will directly impact how hotels reach guests through integrations with major platforms like Booking.com, AirBnb and beyond.

Our Distribution Team:

We're the bridge connecting properties to the global travel ecosystem. Our team tackles complex integration challenges that directly impact revenue for thousands of hotels worldwide, from building rock-solid connections with major OTAs to ensuring every booking flows seamlessly and securely. We balance innovation with pragmatism: migrating legacy systems to modern microservices while maintaining the reliability our customers depend on. If you thrive on solving hard technical problems with real business impact and love the challenge of both building greenfield features and refactoring legacy code, you'll feel right at home here.

What You Bring to the Team:

• Design and implement robust backend features and improvements using PHP, with a strong focus on performance optimization and scalability for our distribution platform
• Build intuitive frontend experiences using React and Vue, ensuring seamless user interactions across the Cloudbeds ecosystem
• Architect secure solutions for handling financial transactions and sensitive personal data, applying security best practices throughout the development lifecycle
• Write clean, well-tested, and well-documented code with comprehensive test coverage (unit, integration, end-to-end) to maintain high quality standards
• Lead technical discussions on complex concepts and requirements with both technical and non-technical stakeholders, driving alignment on backend and frontend architecture decisions
• Contribute to our ongoing initiative to migrate core platform components into microservices, helping shape the long-term technical vision
• Re-architect and refactor existing legacy systems to align with modern standards and project requirements, demonstrating ownership and commitment to continuous improvement
• Mentor team members through pair programming and code reviews, promoting best practices that elevate code quality and team processes
• Collaborate with cross-functional teams to plan, build, and ship high-quality features that delight our global customer base

What Sets You Up for Success:

• 5+ years of PHP web application software engineering experience
• 5+ years of experience with JS frameworks, Vue.js and React are preferred
• Solid experience with modern JavaScript/TypeScript
• Strong hands-on experience with Docker and containerized development workflows
• Demonstrated expertise in performance optimization and expert knowledge of relational databases, indexing, and searching technologies
• Strong understanding of security considerations, particularly for applications handling financial transactions and personal data
• Experience with test automation across all levels (unit, integration, end-to-end) and a passion for quality-driven development
• Proven track record of taking ownership of projects and delivering results independently
• Business-level English fluency (verbal and written) and excellent communication skills for collaborating across a globally distributed, remote-first team

Bonus Skills to Stand Out:

• Experience designing and building microservices and/or micro-frontends
• Hands-on experience with PHP frameworks (CodeIgniter, CakePHP, Laravel, Symfony)
• Cloud and infrastructure experience with Kubernetes, AWS, Terraform, and Argo CD
• Experience working with event-driven architectures and messaging systems (e.g., Kafka)

Compensation: Depending on your skills and experience, you can expect your annual compensation to be between $145,000 - $165,000

About your role

Rocket Lawyer is seeking an experienced, passionate AI/ML software engineer for Rocket Copilot, our new AI assistant launched in December 2023. In this role, you will help our team deeply embed AI features across our platform. You will work in an agile, cross-functional team, working with multiple product teams as we build out AI features across Rocket Lawyer. You will design, implement, test, release and maintain new AI features, working closely with product managers, UX designers, data engineers, QA engineers, and others.

We value a fun, collaborative, team-oriented work environment, where we celebrate our accomplishments. 

How you will make a difference day to day

• Build, train, fine-tune, deploy and maintain ML models for AI features
• Create, monitor and troubleshoot backend API services to allow Rocket Lawyer product frontends to interact with ML models
• Work closely with multiple product teams and cross-functional teammates to quickly integrate AI into existing and new Rocket Lawyer products
• Keep up-to-date with industry trends around generative AI and machine learning
• Rapidly prototype product features to explore new AI capabilities, while writing clean, understandable code

What you’ll need

• 5+ years of Experience writing ML code for launched products
• Understanding of the state of the art in generative AI, including RAG, LoRA, RLHF and others
• Experience creating data sets from proprietary anonymized data, and using them to train and fine-tune ML models
• Experience with machine learning frameworks like TensorFlow, PyTorch and Scikit-Learn
• Strong programming skills in Python and SQL
• BS, MS, or PhD in Computer Science, Mathematics, Statistics, or other quantitative fields, or related work experience

Benefits & Perks

• Comprehensive health plans (including Medical, Dental and Vision insurance for full-time employees)
• Unlimited PTO
• Competitive salary packages
• Life insurance
• Disability benefits
• Supplemental Optional Life Insurance Benefits
• FSA Options Optional
• HSA with Company Match
• 401k program with Company Match
• Fertility Assistance and Planning options
• Wellhub & ClassPass fitness platforms
• Comprehensive Pet Insurance options
• Financial Wellbeing & Student Loan Program access
• Access to additional Mental Health & Wellbeing resources
• Pre-tax Commuter/Transit Benefits
• Free Rocket Lawyer account with online access to an extensive legal documents library and brilliant licensed attorneys at discounted rates 

Interview Process:

• Recruiter Phone Screen
• Role Assessment(s)
• Hiring Manager Interview
• Panel Interviews
• Final Interview