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Responsibilities
Optimization: Formulate and solve optimization problems for portfolioprioritization, investment and resource allocation, and capacity planningto maximize strategic value under constraints.
Simulation: Build simulation models (e.g., Monte Carlo, discrete-event) tostress-test portfolio plans, quantify risk and uncertainty, and forecastoutcomes across scenarios.
Predictive Modeling: Build, test, and refine models to predict deliverytimelines, portfolio outcomes, and investment performance.
Agentic AI: Design MCP (Model Context Protocol) interfaces that exposeoptimization, simulation, and predictive capabilities to Planview Anvi andother AI agents.
Qualifications
Required Qualifications
Master's degree in Industrial Engineering, Operations Research, Statistics,Data Science, or a related field.
3-7 years experience in Python and SQL, along with familiarity with libraries such aspandas and scikit-learn.
Experience with optimization and/or simulation methods (e.g.,linear/integer programming, heuristics, Monte Carlo, discrete-eventsimulation).
Demonstrated experience in translating customer challenges into data-driven product enhancements.
Strong knowledge of machine learning algorithms and statisticalmethodologies.
Strong written and verbal communication skills.
Preferred Qualifications
Familiarity with portfolio management and planning frameworks (e.g.,SAFe, Lean Portfolio Management, Agile, Waterfall).
Hands-on experience with AWS services such as Athena, SageMaker,Lambda, and Bedrock.
Experience with optimization solvers or simulation libraries.
Experience building with Large Language Models and agent frameworks,including exposure to the Model Context Protocol (MCP).
Basic understanding of knowledge graphs and ontologies.
Great Benefits and Fun Perks
At Planview, you’ll join our global team and culture which reflects the vibrant communities in which our employees live and work. To support you at Planview, you will enjoy:
Unplugged Days: 4 company-wide paid days off per year to recharge and relax.
Generous PTO offerings (region dependent).
Region specific competitive benefit plans to support you at any life stage including parental leave, retirement, medical plans, wellness support, and remote work support.
Paid time to volunteer through Planview’s Force for Good Week.
Employee Referral bonus program.
Weekly office lunches for hybrid team members and social events.
Flexible work hours/environment.
Now is a great time to join our team. If you are looking for a place to grow your career, innovate with best-in-class solutions, and build the future of connected work, Planview is the right place for you!
