• Lead and develop engineering teams with a focus on high performance and individual growth. • Understand the company's strategic and operational plans, disseminating and connecting technical direction aligned with strategy. • Ensure delivery of technical solutions aligned with business needs, in partnership with PMs, Designers, and other leaders. • Facilitate communication between technical teams and stakeholders, ensuring transparency and alignment. • Promote an environment of collaboration, psychological safety, and continuous feedback. • Ensure the construction of technical strategies for the team's domains, promoting engineering best practices (Clean Code, TDD, CI/CD, DevSecOps). • Participate in defining and tracking OKRs and technical metrics (lead time, stability, test coverage, etc.). • Encourage Inner Source initiatives, use of RFCs, and a living documentation culture. • Handle ambiguous problems and challenging prioritization, balancing deadlines and quality. • Be influential in team decision-making on solution details. • Ensure quality, scalability, and best practices of the product/platform. • Define, collect, analyze, and monitor application/product health metrics.

Overview At TDS Telecom, connecting people is at the heart of everything we do. We are forward thinkers who leverage cutting-edge fiber internet technology to strengthen communities. We are dedicated to excellence, which drives us to succeed together, creating a better world through meaningful connections. Ready to make an impact? As a Manager- Network Engineering, you would be responsible for the management of TDS associates who are responsible for planning, engineering, coordinating and supervising engineering or construction activities in multiple locations and states. The role is expected to work closely with representatives from various internal and external business partners to ensure that the needs of the company are being met. This role will be responsible for the construction or engineering of network infrastructure while conforming to TDS and industry standards. This position is expected to oversee numerous construction or engineering projects, located in multiple locations and states. This role will continually monitor overall job progress to ensure that projects are completed on time, in scope and within budget. This position is responsible for working with and advising on contracts related to the construction or engineering functions. The position may be required to negotiate with municipalities, various regulatory entities and other utility companies from a network and a legal perspective. This position has the ability to work remotely in any of the 40+ States in which TDS Telecom operates. Minimal travel may be required. This position can be hired at a Manager - Network Engineer (2026-29093) or Manager - Network Engineer (2026-29094) level depending on the skills and qualifications of the candidate. Separate job postings outline the minimum requirements for each role. Please review both postings and apply to any level for which you are qualified and interested. Responsibilities - Provides personnel management and manpower apportionment necessary for completion of network projects. This includes managing internal staff as well as engaging professional consultant engineers during peak periods. Focus is on personnel development through performance assessments, coaching, recognition, and process improvement. - Coordination of work load from associate assignment and task delegation through completion of the project as documented by project management tools. Ensure the coordination of projects and personnel is consistent with on time, budget and scope requirements. - Engagement of internal partners and external vendors and teams to clarify scope and coordinate timing of necessary work function. This includes building and nurturing relationships with all partners. - Interfacing with the Supply Chain and procurement or purchasing functions up to and including business ownership of contracts and contracted work. Qualifications Required Qualifications - Bachelor's Degree (or higher) –OR- 4 years of professional work experience - 7+ years' experience in telecommunications or broadband related fields. - 5+ year's supervisory/leadership experience. - Must have and maintain a valid driver's license. Other Qualifications - Excellent leadership, customer relations and communications skills - Thorough understanding of Telecommunications industry and principals. - Ability to manage multiple priorities simultaneously. - Excellent written and oral communications skills - Proficient in Outlook, Excel and Office suite - Knowledge of GIS and ESRi - Advanced working knowledge of industry construction practices and engineering standards. - Ability to work in a cooperative and courteous manner with diverse work groups. - Must be self-motivated and self-reliant. - May be required to regular travel on an "as-needed" basis. Do you meet the Required Qualifications but are unsure if your experience aligns with the Other Qualifications? We encourage you to apply! Research shows that many candidates hesitate to apply unless they meet 100% of the qualifications, even when they possess the skills and experience needed to succeed in the role. Experience and skills come in many forms, and they may not always match exactly what’s listed on paper, but they can still lead to success. If you meet the Required Qualifications and believe you have the potential to thrive in this role, we encourage you to apply today! Benefits We believe in taking care of our team, which is why we offer comprehensive benefits to support your health, financial well-being, and overall happiness. Join us and experience a work environment where your well-being is a top priority! Associates scheduled to work 20 or more hours per week have access to: - Medical Coverage - Dental Coverage - Vision Coverage - Life Insurance - 401(k) Plan - Generous Vacation & Paid Sick Leave - Seven Paid National Holidays & One Floating Holiday - Paid Parental Leave (6 weeks after 12 months of employment) - Adoption & Surrogacy Assistance - Employee Assistance & Wellness Programs Associates working 30 or more hours per week additionally have access to: - Short-Term & Long-Term Disability - TDS Service Discounts - Education Assistance - Paid Volunteer Time In addition to these benefits, all associates will have the opportunity to participate in our Associate Resource Groups, which are designed to encourage community and facilitate professional development. To learn more, click here. Who is TDS Telecom? TDS Telecom provides high-speed internet, TV entertainment, and phone services to a diverse range of communities, including small to mid-sized urban, suburban, and rural areas across the U.S. With over 50 years of experience, TDS is committed to building and expanding fiber optic networks that bring cutting-edge connectivity to neighborhoods nationwide. Serving over 1 million connections, our mission is to create a better world by delivering innovative communication solutions that enhance the way people live, work, and connect. Visit tdstelecom.com to learn more! At TDS, we are committed to Equal Employment Opportunity (EEO) and value the difference of backgrounds, experiences and perspectives in our workforce. We consider all qualified applicants without regard to race, color, age, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other status protected by law. Pay Transparency The listed pay range reflects the minimum and maximum base salary. Actual offers will be based on factors such as skills, qualifications, experience, location, and role-specific competencies. Some positions may also offer additional compensation, such as bonuses or equity awards. Pay Range (Hr./Yr.) $110,400.00/Yr. - $179,400.00/Yr.

Lithic is the modern card issuing and processing platform empowering ambitious financial companies to build the future of payments. Our infrastructure powers card programs for 100+ innovative clients, from fintechs reimagining credit and digital banking to platforms transforming disbursements and spend management. Companies like Mercury, Flex, and Novo rely on Lithic's developer-friendly APIs, direct network connections, and flawless reconciliation to launch and scale card programs in weeks, not years. We're building a future where access to better financial products materially improves people's lives, free from the constraints of 30-year-old mainframes and legacy processors. We're proud to be backed by world-class investors who share that vision, including Bessemer Venture Partners, Index Ventures, Spark Capital, Stripes, and Mastercard, along with many others. We're a team of 160+ across 26 states and 7 countries, headquartered in New York City. We are hiring an Engineering Manager for our Issuing team to lead Lithic’s next phase of growth. The Issuing team is responsible for getting a card into an end user’s literal and figurative hand or wallet. We own core parts of the card and account lifecycle, including KYC/KYB flows for account holders, card issuance (physical and virtual), tokenization for digital wallets, and the data models and APIs that power these experiences. This team owns some of our most critical customer facing paths at the heart of our offering. The systems we maintain have high standards of reliability and correctness, because they sit on the critical path for customers launching and operating card programs. The team primarily uses Python, Rust, and AWS, and interfaces with a broader service ecosystem across Lithic. What You'll Do: - Ensure high reliability and correctness for the Issuing surface area, including APIs and services powering core card and account lifecycle flows - Lead delivery of new features and improvements across card issuance (physical + virtual), onboarding (KYB/KYC), and tokenization-related capabilities - Raise the bar on operational excellence: observability, incident response, on-call readiness, and pragmatic reliability improvements - Own initiatives from planning to launch, keeping stakeholders informed and aligned along the way - Partner closely with Product and cross-functional stakeholders to clarify requirements early and keep engineering time focused on the highest-impact work - Lead efforts to improve systems, processes, and documentation so new team members can ramp quickly - Participate in and help evolve the team’s on-call rotation What You Bring - Experience managing and growing engineers, including coaching, feedback, and hiring - Strong technical judgment and system design skills, especially for API-driven, high-reliability distributed systems - Comfort staying close to the work. This is a player-coach role where the manager can unblock, review designs, and occasionally contribute hands-on when needed - Experience shipping and operating production services, with a bias toward measurable reliability and pragmatic iteration - Experience with or interest in learning the Issuing domain (cards, KYC/KYB, tokenization) and the realities of operating critical-path systems - Experience with Python and AWS (or closely related stacks), and an ability to ramp quickly where the stack is unfamiliar - Strong cross-functional communication skills and an ability to keep teams aligned under time pressure - Growth mindset and continuous desire to learn and improve - An interest in fintech and payments is preferred The annual Canadian salary range for this role is CA$232,000 - $333,000 plus equity. This salary range is inclusive of several career levels at Lithic and will be narrowed during the interview process based on the candidate's experience and qualifications. This is a remote position. We do not offer visa sponsorship or assistance. Crack the code A hidden code is tucked into this application. Find it and enter it below to continue. 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 Benefits for Full-Time US Employees: - Unlimited PTO - 12-weeks fully paid parental leave - 4-Week Fully Paid Sabbatical (earned at your 5-year anniversary) - Work From Anywhere: work from anywhere in the world 4-weeks each year - 3% cashback on card purchases with your complimentary Privacy.com employee account - Health, vision, and dental insurance; HSA Contribution Match - 401(k) match - Voluntary Life Insurance and STD/LTD NYC-based employees work from our SoHo office three days a week. Tuesdays and Thursdays are our core days, and you'll choose a third day that works for your schedule and team needs. In-office employees receive: - Commuter benefit - Catered lunch every Tuesday and Thursday

Position Overview  We are seeking a highly skilled and compliance-minded AI Specialist to design, build, and deploy artificial intelligence and machine learning solutions that drive automation, operational efficiency, and intelligent decision-making across the organization. This role sits at the intersection of AI engineering, cloud infrastructure, and data security — requiring someone who can build powerful AI systems while operating within strict compliance frameworks including HIPAA and SOC 2.    The ideal candidate is a strong programmer with hands-on AI/ML development experience, deep familiarity with AWS cloud services, and a genuine understanding of what it means to build and deploy AI in regulated, security-sensitive environments. This is not a theoretical role — you will be building, integrating, and shipping.    Key Responsibilities  AI & Machine Learning Development  - Design, develop, and deploy AI and machine learning models to solve real business problems and automate workflows  - Build and maintain end-to-end ML pipelines from data ingestion and preprocessing through model training, evaluation, and production deployment  - Develop natural language processing (NLP), large language model (LLM) integrations, and generative AI solutions as applicable  - Fine-tune and optimize pre-trained models (including GPT, Claude, or open-source alternatives) for specific use cases  - Evaluate model performance, monitor for drift, and implement improvements based on real-world feedback  - Research and apply emerging AI techniques, frameworks, and tools to continuously improve solution quality    AI Integration & Automation  - Integrate AI models and APIs into existing applications, platforms, and workflows  - Build intelligent automation solutions that reduce manual effort and improve operational throughput  - Develop AI-powered features including chatbots, recommendation engines, document processing, and predictive analytics  - Design and implement RAG (Retrieval-Augmented Generation) architectures for knowledge-based AI applications  - Collaborate with product and operations teams to identify high-value AI use cases and deliver solutions    Programming & Software Engineering  - Write clean, well-documented, production-quality code primarily in Python, with additional languages as needed (JavaScript, SQL, Bash, etc.)  - Build APIs, microservices, and data pipelines that support AI workloads at scale  - Apply software engineering best practices including version control (Git), code review, testing, and CI/CD  - Maintain and refactor existing codebases for performance, reliability, and maintainability  - Document technical architectures, implementation decisions, and system behaviors clearly    AWS Cloud Infrastructure  - Architect, deploy, and manage AI and data workloads on AWS cloud infrastructure  - Utilize AWS services including SageMaker, Lambda, EC2, S3, RDS, Bedrock, Step Functions, and API Gateway  - Build scalable, cost-efficient cloud architectures that support model training, inference, and data processing  - Implement infrastructure-as-code using AWS CloudFormation, CDK, or Terraform  - Monitor cloud resource utilization and optimize for performance and cost  - Ensure all AWS environments are configured in alignment with security and compliance requirements    HIPAA Compliance  - Design and develop all AI systems and data pipelines in full compliance with HIPAA Privacy and Security Rules  - Ensure Protected Health Information (PHI) is handled, stored, transmitted, and processed with appropriate safeguards  - Implement technical controls including encryption at rest and in transit, access controls, and audit logging for all PHI-adjacent systems  - Participate in HIPAA risk assessments and support remediation of identified vulnerabilities  - Maintain documentation required for HIPAA compliance including data flow diagrams, system inventories, and access logs  - Stay current on HIPAA regulatory developments and ensure AI systems remain compliant as regulations evolve    SOC 2 Compliance  - Build and maintain AI systems and cloud infrastructure in accordance with SOC 2 Trust Service Criteria (Security, Availability, Confidentiality, Processing Integrity, and Privacy)  - Implement and maintain security controls required for SOC 2 Type I and Type II certification  - Support audit preparation by maintaining evidence, access logs, and system documentation  - Participate in vulnerability management, penetration testing, and incident response processes  - Collaborate with security and compliance teams to ensure all AI deployments meet SOC 2 standards  - Monitor systems continuously for security events and compliance gaps    Data Management & Security  - Design secure data architectures that protect sensitive information throughout the AI pipeline  - Implement role-based access controls, data masking, and anonymization techniques where appropriate  - Ensure data governance practices are followed for all datasets used in model training and inference  - Maintain data lineage documentation and audit trails for compliance and reproducibility    Collaboration & Documentation  - Work closely with engineering, product, operations, and compliance teams to align AI solutions with business needs and regulatory requirements  - Communicate complex technical concepts clearly to non-technical stakeholders  - Produce thorough technical documentation for all systems, models, and integrations  - Mentor junior team members on AI development practices and compliance standards    Required Qualifications  - 3 or more years of hands-on experience in AI, machine learning, or data science engineering roles  - Strong programming skills in Python — this is the primary development language for this role  - Demonstrated experience building and deploying ML models or AI-powered applications in production environments  - Proficiency with AWS cloud services — particularly those relevant to AI/ML workloads (SageMaker, Lambda, S3, EC2, Bedrock, or equivalent)  - Working knowledge of HIPAA requirements and experience building systems that handle PHI in compliance with applicable regulations  - Familiarity with SOC 2 compliance frameworks and the technical controls required to support certification  - Experience with LLMs, NLP, or generative AI frameworks such as LangChain, OpenAI API, Hugging Face, or similar  - Strong understanding of data security, encryption, access control, and audit logging best practices  - Excellent written and verbal communication skills, including the ability to document technical work clearly    Preferred Qualifications  - AWS certifications such as AWS Certified Machine Learning Specialty, AWS Solutions Architect, or AWS Security Specialty  - Experience with MLOps practices and tools including model versioning, monitoring, and automated retraining pipelines  - Familiarity with vector databases such as Pinecone, Weaviate, or pgvector for RAG implementations  - Experience in a HIPAA-covered entity or business associate environment  - Background in healthcare technology, health informatics, or digital health platforms  - Experience with additional programming languages such as JavaScript, TypeScript, Go, or Java  - Familiarity with containerization and orchestration tools including Docker and Kubernetes    Technical Stack  Core  - Python — primary language  - AWS — SageMaker, Lambda, S3, EC2, Bedrock, Step Functions, API Gateway, CloudFormation / CDK  - LLM frameworks — LangChain, OpenAI API, Anthropic API, Hugging Face    Data & Infrastructure  - SQL and NoSQL databases  - Vector databases for semantic search and RAG  - Git / GitHub — version control and CI/CD  - Docker / Kubernetes — containerization and orchestration    Compliance & Security  - HIPAA Privacy and Security Rule compliance  - SOC 2 Trust Service Criteria  - AWS security services — IAM, KMS, CloudTrail, GuardDuty, Security Hub