Overview Working at Atlassian Atlassians can choose where they work – whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity. Interviews and onboarding are conducted virtually, a part of being a distributed-first company. Responsibilities - Analyze business objectives, customer needs, product adoption inhibitors and opportunities, industry trends, and based on these, in close collaboration with your stakeholders, define a long-term strategy and roadmap for your platform and product components. - Understand business objectives and translate them into technical systems problems that need to be prioritized solved in the current business environment. - Define specific systems programs and create a plan of action for realizing those programs. Such programs could be around capacity planning, migration efforts, high availability, network architecture, performance optimization, reliability improvements and more. - Use your technical understanding of Atlassian and related systems to partner with and influence engineers and architects in making progress on these problems. - Responsible for taking a systematic approach to engineering problems. This includes: prioritizing tasks, scoping out the project, defining objectives, and making consistent progress against each of these. - Be accountable for the success of these technical programs by managing the entire lifecycle from initiation to forecasting, budgeting, scheduling, etc. - Manage complex dependencies and projects with a broad scope across the company Qualifications Minimum Qualifications - 10+ years of experience on software teams as Development Manager or TPM - Strategic thinking and ability to understand business objectives to translate them into technical problems and programs. - Technical understanding of systems involved. Willingness to develop domain expertise in the area they operate - storage, networking, authentication, capacity management, service deployments, etc. - TPMs are not expected to write or read code, but are expected to understand system flows, block architectures, APIs and such. - Experience defining and running end-to-end complex technical programs - Strong leadership, organizational, and communication skills Compensation At Atlassian, we strive to design equitable, explainable, and competitive compensation programs. To support this goal, the baseline of our range is higher than that of the typical market range, but in turn we expect to hire most candidates near this baseline. Base pay within the range is ultimately determined by a candidate's skills, expertise, or experience. In the United States, we have three geographic pay zones. For this role, our current base pay ranges for new hires in each zone are: Zone A: $231,300 - $301,975 Zone B: $208,800 - $272,600 Zone C: $192,600 - $251,450 This role may also be eligible for benefits, bonuses, commissions, and equity. Please visit go.atlassian.com/payzones for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter. Benefits & Perks Atlassian offers a wide range of perks and benefits designed to support you, your family and to help you engage with your local community. Our offerings include health and wellbeing resources, paid volunteer days, and so much more. To learn more, visit go.atlassian.com/perksandbenefits. About Atlassian At Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together. We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines. To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them. To learn more about our culture and hiring process, visit go.atlassian.com/crh.

ABOUT PER SCHOLAS: For 30 years, Per Scholas has been on a mission to drive mobility and opportunity in the ever-advancing technology landscape by unlocking the untapped potential of individuals, uplifting communities, and meeting the needs of employers through rigorous tech training. By teaming up with dynamic employer partners, ranging from Fortune 500 companies to innovative startups, we're forging inclusive tech talent pipelines, fulfilling an ever-increasing need for skilled talent. With national remote training and campuses in 20+ cities and counting, Per Scholas offers no-cost training programs in the most sought-after tech skills, spanning Cloud, Cybersecurity, Data Engineering, IT Support, Software Engineering, and more. To date, 30,000+ individuals have been trained through Per Scholas, propelling their professional trajectories into high-growth tech careers with salaries three times higher than their pre-training earnings. Learn more by visiting PerScholas.org and follow us on LinkedIn, X, Facebook, Instagram, and YouTube. Per Scholas preferred hires reside within the following states: AZ, CA, CO, FL, GA, IL, IN, KS, MD, MA, MI, MO, NC, NJ, NY, OH, PA, TX, WA DEPARTMENT: National Program POSITION TITLE: Sr. Manager, Product Operations (contract) REPORTS TO: VP, Product Strategy & Innovation OFFICE: Remote Travel: 25% DURATION: 6-Month Contract (40 hours per week) WHO WE’RE LOOKING FOR Per Scholas is seeking a Senior Manager, Product Operations (Contractor) to strengthen operational rigor and execution reliability across the Product Services department. This role establishes the operating systems that enable curriculum products to move from intake through planning, delivery, launch readiness, and performance reporting with consistency and accountability. The Senior Manager, Product Operations (Contractor) owns portfolio execution operations during the engagement, including intake workflows, sprint and milestone cadences, dependency and risk management, launch readiness standards, documentation and decision-trail governance, and KPI (Key Performance Indicator) reporting infrastructure. The role partners closely with Product Management, Training Delivery, Revenue, and Research & Evaluation (R&E) to ensure shared visibility and disciplined follow-through. This role does not own product strategy, curriculum direction, evaluation methodology or analysis, or direct people management. It enables operational excellence so Product Managers can focus on roadmap and content decisions and Learner Evaluations can focus on study design, analysis, and learning impact. Final prioritization and tradeoff decisions sit with the VP, Strategy & Design. The contractor is expected to surface options, impacts, and recommendations to support timely decisions. This engagement will transition ownership of the operating cadence, tooling governance, and reporting workflows to the full-time Senior Manager, Product Operations at the end of the contract term. WHAT YOU’LL DO Operating Rhythm, Planning, and Portfolio Execution ○ Lead the department’s operating cadence, including bi-weekly sprint planning, weekly execution reviews, monthly portfolio reviews, and quarterly planning support, with clear inputs, outputs, owners, and follow-through. ○ Convert portfolio priorities into executable plans, including milestones, critical paths, dependencies, and delivery checklists that support on-time, high-quality releases. ○ Maintain risk, dependency, and blocker logs; drive resolution by facilitating decision-making and escalating issues with clear options, impacts, and recommendations. ○ Provide capacity and resourcing visibility (load, throughput, constraints) in partnership with Product Management leadership to support transparent tradeoffs and protect delivery commitments. ○ Identify operational gaps and implement process improvements that reduce friction, improve cycle time, and increase delivery predictability across Product Services. Intake, Workflow Systems, and Tooling Governance ○ Own end-to-end intake operations, including request capture, triage, routing, prioritization support, stakeholder communications, and status transparency. ○ Administer and continuously improve Product Services systems of record: Asana and Smartsheet for projects; Airtable for the product catalog. Establish clear rules for where work is tracked and reported. ○ Establish and maintain SOPs (Standard Operating Procedures) and templates for planning, execution, launches, reporting, and documentation, including version control and decision-trail requirements. ○ Own standardization, documentation, and lifecycle management of Product Services course collateral for internal and external use, ensuring materials are current, version-controlled, and easily retrievable. ○ Design and maintain lightweight automations that improve communication and status visibility across departments (e.g., intake acknowledgements, milestone alerts, dashboard refresh routines). Launch Readiness and Change Control ○ Lead cross-functional launch readiness for new and refreshed products, ensuring readiness checklists, enablement needs, communications, and operational handoffs are complete prior to release. ○ Implement change control practices to document scope changes, decision rationale, and downstream impacts; ensure release notes and stakeholder communications are timely and consistent. ○ Ensure launch artifacts meet defined standards (runbooks, enablement materials, system readiness confirmations) before releases proceed. KPI Operations, Reporting, and Accountability ○ Operationalize KPI measurement in partnership with Product and R&E by maintaining KPI definitions, data sources, owners, refresh cadences, and data quality checks. ○ Produce executive-ready reporting on a consistent cadence, including monthly performance packets and dashboard updates, with clear status, context, and action plans (owner and due date). ○ Monitor and report execution health signals (throughput, cycle time, backlog aging, milestone variance) and drive corrective actions when performance trends decline. Team Collaboration and Innovation (10%): ○ Manage the operational execution of pilots and learning experiments, including timelines, instrumentation requirements, data capture readiness, and readout coordination. ○ Ensure evaluation work is operationally supported while R&E retains ownership of methodology, analysis, and findings. ACCOUNTABILITY & SUCCESS MEASURES ○ A 30-day baseline assessment will establish current-state performance and improvement targets for the remainder of the engagement. ○ Intake responsiveness: consistent triage turnaround and stakeholder updates; clear queue health and aging visibility. ○ Portfolio hygiene: roadmap initiatives and work items consistently include owner, status, dates, dependencies, and risks. ○ Milestone predictability: improved on-time delivery with documented variance drivers and corrective actions. ○ Launch readiness compliance: launch checklists completed prior to release; handoffs executed consistently. ○ Reporting reliability: monthly packets and dashboards delivered on time with defined completeness and action registers. ○ Decision-log discipline: major scope and priority changes documented promptly with rationale and downstream impacts. ○ Tool adoption and data quality: consistent use of the system of record; reduced duplicate tracking and manual follow-ups. ○ Collateral and catalog integrity: active products have current, version-controlled collateral and accurate product records (status, owner, links to artifacts). ○ Automation impact: measurable reduction in manual follow-ups and coordination overhead through maintained workflow automations. WHAT YOU’LL BRING TO US Required Skill Sets ● 6+ years of experience in product operations, program management, portfolio operations, or delivery operations in a cross-functional environment. ● Demonstrated success designing and running operating cadences, including dependency and risk management and executive-ready reporting. ● Strong fluency with work management and reporting tools, including Asana (or equivalent), Smartsheet (or equivalent), Airtable (or equivalent), Google Workspace, and dashboard workflows. ● Experience operationalizing performance measurement, including data definitions, refresh cadences, data quality checks, and recurring reporting routines. ● Bachelor’s degree required; advanced degree is a plus. Core Skill Sets ● Systems leadership: design repeatable workflows that scale across multiple products and stakeholders. ● Execution discipline: structure ambiguous work into plans, milestones, and measurable outputs. ● Stakeholder leadership: drive alignment, clarify decision rights, and secure closure on priorities and dependencies. ● Data rigor: maintain reliable operational metrics and translate performance signals into action. ● Communication excellence: produce concise, decision-ready updates and maintain clear documentation. Preferred Skill Sets ● Experience implementing workflow governance and SOPs across complex stakeholder environments. ● Experience building lightweight automations that reduce manual coordination and improve visibility. ● Experience in nonprofit, workforce development, education, or adjacent mission-driven environments. Professional Qualifications ● Bachelor's degree or equivalent practical industry experience. ● Excellent written communication and organizational skills with the ability to follow through on small details. ● Strong evaluation support and data management skills (operations, readiness, instrumentation), with analysis owned by R&E. Personal Characteristics ● Results-oriented and pragmatic, with a bias toward clarity and follow-through. ● High ownership and initiative; identifies gaps, builds systems, and sustains operating rhythms. ● Comfortable operating across multiple teams and business lines, balancing urgency with disciplined process. Compensation For this role specifically, we are targeting an hourly rate of $36.06 where the difference in salary is typically determined by several factors, including geography in which the selected candidate resides, and alignment with qualifications and experience. #LI-Remote QUESTIONS? If you have any questions about this role, please feel free to email our Talent team at jobs@perscholas.org. We look forward to viewing your application! Equal Employment Opportunity We're proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity or national origin. PII Policies Non-Discrimination Policy

Role Description This position will be working 100% Remotely from your home office in India as part of a distributed team in the USA, Canada, Europe, and several locations in India. Working hours should overlap with Central US time zone. We are growing and looking for an experienced Technical Program Manager. Responsibilities - Program Planning and Coordination: - Collaborate with Engineering teams, Product Owners, and leadership team (such as architects, and other stakeholders) to define program objectives, technical deliverables, and timelines for delivery. - Create and maintain roadmaps for one or several agile teams according to program objectives, including dependency management across multiple layers of the SaaS stack (e.g., application, infrastructure, security, go-to-market, and others). - Optimize delivery strategies while balancing team capacity with product requirements, complex technical requirements, ensuring scalable and secure solutions. - Proactively manage risks, dependencies, and delivery schedules, keeping cross-functional teams aligned and ensuring timely delivery. - Facilitate and support program planning and execution ceremonies for one or several agile teams, contribute to continuous improvement process for program evolution. - Oversee the delivery of program objectives within program increment cycles, ensuring they meet both technical and business requirements. - Agile Facilitation and Technical Delivery Management: - Facilitate Agile ceremonies (e.g., sprint planning, daily stand-ups, sprint reviews retrospectives) for globally distributed team(s), ensuring effective communication and participation despite time zone differences. - Act as a servant-leader by removing blockers, and ensuring that teams stay focused on delivering high-quality solutions. - Mentor team members to follow and improve Agile practices and drive accountability in remote and distributed environments. - Ensure that teams follow consistent standards for security, performance, and compliance across regions, particularly for fintech applications. - Serve as the primary point of contact for program updates and delivery status, ensuring alignment between engineering, product management, and senior leadership. - Communicate effectively with stakeholders at all levels, ensuring alignment of priorities and expectations, i.e., translate technical details of AWS-based SaaS solutions into business-friendly language for stakeholders, ensuring clear communication across borders. - Collaborate with engineering teams to define technical architecture, integrations, and best practices for SaaS solutions. - Ensure that solutions align with AWS best practices for security, cost optimization, and performance by close collaboration with DevSecOps team. - Metrics and Reporting: - Measure team KPIs, define success criteria based on SavvyMoney Agile Delivery Framework. - Create and present reports to leadership and stakeholders, providing transparency into progress, key risks, and technical improvements in a remote working context. - Monitor team performance, identifying bottlenecks and implementing solutions to improve throughput and remote collaboration. - Use data-driven insights to identify areas for improvement in team performance and product delivery/deployment processes. - Collaborate with your peers to continuously improve Delivery Framework standards. Qualifications - Bachelor's degree in Computer Science, Engineering, or a related field (Master’s degree preferred). - Able to communicate fluently in English. Requirements - 5+ years of experience managing technical programs or projects, ideally in SaaS development or deployment on AWS infrastructure within the fintech domain. - Proven experience leading globally distributed, remote teams, including managing time zone challenges and cross-cultural communication. - Solid understanding of cloud infrastructure, particularly AWS services (ECS, Lambda, S3, RDS), and SaaS delivery models. - Advanced knowledge of Agile methodologies such as Scrum, Kanban, or SAFe. - Proficient with Agile tools (e.g., Jira, Confluence). - Experience with SaaS application development, deployment, and scaling on AWS infrastructure. - Familiarity with AWS security, compliance standards (e.g., SOC-II, PCI-DSS), and cost optimization practices. - Background in software development and cloud architecture best practices. - Strong understanding of the regulatory and security requirements in the fintech space, including data privacy and financial regulations. - Proven experience managing remote or globally distributed teams, fostering communication and collaboration across multiple time zones. - Ability to coordinate cross-team activities and deliverables with global stakeholders, adapting to remote work challenges. Benefits - The annual Fixed Base salary for this position is between 22L - 39L depending upon experience + Variable.

Role Description Lead AI/ML program execution, ensuring timely delivery of scalable, production-grade RAG/LLM/Agentic solutions. - Define program roadmaps through PI planning sessions, milestones, and deliverables for AI-driven initiatives across multiple teams. - Manage LLM infrastructure, GPU optimization, AI inferencing pipelines, and large-scale model deployment strategies. - Oversee the implementation of RAG, Agentic Workflows, multi-agent LLM systems, and Retrieval-augmented QA pipelines. - Manage client engagement and delivery per terms of the contract expectations. - Manage project delivery, team and ensure positive customer relations. - Drive project margins optimization using Gen AI based tools, accelerators. - Collaborate with our diverse and global teams to deliver committed results to our clients. - Lead AI-driven engagements, ensuring alignment with business goals, technical feasibility, and governance frameworks. - Develop and execute strategic roadmaps for LLM-based solutions, including RAG (Retrieval-Augmented Generation), Agentic RAG, and Agent-driven workflows. - Manage cross-functional teams, including ML engineers, data scientists, software developers, and consultants to deliver AI solutions. - Collaborate with stakeholders to define technical architecture, infrastructure requirements, and optimization techniques. - Implement scalable AI agent architectures, ensuring integration with LangChain, NVIDIA NeMo, and Triton Inference Server. - Track project performance, set KPIs, and provide executive-level reporting on outcomes and ROI. - Guide AI model evaluation, MLOps pipeline integration, and fine-tuning strategies for scalable AI solutions. - Travel to client location as needed. - Support AI compliance strategies, ensuring alignment with data privacy, security, and responsible AI practices. Qualifications - 7 plus years of Program Management experience. - Strong leadership and multi-stakeholder management skills. - Multi-Workstream Project Management ensuring customer success & account growth. - Maintaining positive work environment & ensure career growth of the team members. - Tight Delivery execution and reporting to senior management at client organization and at Quantiphi. - Mentoring team members for career progression & upskilling to drive better solution outcomes. - Team leading experience and ability & experience to work as project lead. - Excellent Communication, presentation & storytelling skills. - Must have experience with Cloud GCP or AWS or Azure (LLM hosting, GPU-based inference, cost optimization). - Experience managing large-scale AI projects leveraging LLMs (e.g., Llama, GPT, Claude, Mistral). - Strong expertise in RAG, Agentic RAG, AI Agents, Vector DBs (e.g., FAISS, Pinecone, Weaviate, ChromaDB). - Knowledge of LLM-based fine-tuning techniques, Low-Rank Adaptation (LoRA), Quantization (AWQ, GPTQ, FP8, INT4). - Familiarity with Multi-GPU parallelization, model pruning, and knowledge distillation. - Understanding of Governance frameworks (e.g., AI Ethics, Explainability, Risk Mitigation). - Proficiency in NVIDIA NeMo, Triton Inference Server, and LangChain for Agentic workflows. - Bachelor's degree in CompSci, Business IT, or other related fields or equivalent work experience. MBA is highly desirable. Benefits - Make an impact at one of the world’s fastest-growing AI-first digital engineering companies. - Upskill and discover your potential as you solve complex challenges in cutting-edge areas of technology alongside passionate, talented colleagues. - Work where innovation happens - work with disruptive innovators in a research-focused organization with 60+ patents filed across various disciplines. - Stay ahead of the curve—immerse yourself in breakthrough AI, ML, data, and cloud technologies and gain exposure working with Fortune 500 companies. - If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!