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Platform Manager Jobs in Hull, MA (NOW HIRING)

Sr Manager AI Platforms

Framingham, MA · On-site

$130K - $171K/yr

The Senior Platform Manager will define the platform vision and roadmap, connect current platform capabilities to future enterprise needs, and drive execution through an iterative, agile delivery ...

Sr Manager AI Platforms

Framingham, MA · Remote

$130K - $171K/yr

The Senior Platform Manager will define the platform vision and roadmap, connect current platform capabilities to future enterprise needs, and drive execution through an iterative, agile delivery ...

Platform Engineer

Quincy, MA · On-site

$90K - $157K/yr

Implement and manage Security event routing & SIEM platforms in a hybrid multi cloud environment using CI/CD processes by developing CloudFormation and Terraform templates * Scale systems sustainably ...

... Data management expertise (i.e., Snowflake, Data Bricks) • Sound knowledge of IT application architecture and design methodologies across multiple platforms • Understanding of applications ...

Manage and optimize AWS EMR clusters for large-scale data processing, ensuring efficient resource ... platform and infrastructure operations. * Configure SageMaker environments with network and ...

Manage and optimize AWS EMR clusters for large-scale data processing, ensuring efficient resource ... platform and infrastructure operations. * Configure SageMaker environments with network and ...

Platform Engineer

Boston, MA · On-site

$124K - $168K/yr

As a Platform Engineer I, you will help build and maintain a platform that is scalable, secure, and ... manage production cloud resources on AWS, including EC2, S3, IAM, and VPC * Enhance our CI/CD ...

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Showing results 1-20

Platform Manager information

See Hull, MA salary details

$40.4K

$135.1K

$153.6K

How much do platform manager jobs pay per year?

As of Aug 14, 2026, the average yearly pay for platform manager in Hull, MA is $135,053.00, according to ZipRecruiter salary data. Most workers in this role earn between $153,000.00 and $153,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a platform manager?

To thrive as a Platform Manager, you need expertise in platform architecture, project management, and a solid understanding of business operations, often supported by a relevant degree or industry certification. Familiarity with cloud platforms (such as AWS or Azure), API integrations, and product management tools like JIRA is typically required. Excellent communication, leadership, and problem-solving abilities help drive cross-functional collaboration and strategic decision-making. These skills ensure the platform's stability, scalability, and alignment with business goals, which are critical for organizational success.

What is the difference between Platform Manager vs Product Manager?

AspectPlatform ManagerProduct Manager
Primary FocusManaging and maintaining technology platforms and infrastructureDeveloping and guiding specific products or features
Required SkillsTechnical knowledge of platforms, systems integration, and infrastructureMarket research, user experience, and product development
Work EnvironmentIT teams, engineering departments, technical operationsCross-functional teams including marketing, design, and engineering
Industry UsageTechnology, SaaS, cloud servicesSoftware, consumer goods, digital services

While both roles involve technical expertise, a Platform Manager focuses on maintaining and optimizing the underlying technology infrastructure, whereas a Product Manager concentrates on developing and managing specific products to meet customer needs.

How do you become a platform manager?

To become a platform manager, candidates typically need a combination of experience in project management, technical knowledge of the platform's technology stack, and strong leadership skills. Relevant education often includes a bachelor's degree in computer science, information technology, or a related field, along with experience in managing digital platforms or software development projects. Certifications such as PMP or Agile can also enhance qualifications.

How does a platform manager typically collaborate with cross-functional teams to ensure platform reliability and scalability?

A Platform Manager frequently works with engineering, product, and operations teams to align platform capabilities with business goals. They facilitate regular communication between developers, system administrators, and other stakeholders to identify potential bottlenecks, address incidents, and plan for future growth. By establishing clear processes for incident management, change control, and performance monitoring, Platform Managers help ensure that the platform remains reliable and scalable while meeting user needs. This collaborative approach not only strengthens the technical foundation but also fosters a culture of shared responsibility across departments.

What is a platform manager?

A Platform Manager is a professional responsible for overseeing the development, maintenance, and optimization of a specific technology platform within an organization. They coordinate between technical teams, stakeholders, and users to ensure the platform meets business needs and operates reliably. Platform Managers may also be involved in strategic planning, vendor management, and implementing new features or integrations. Their role is crucial for ensuring platforms are scalable, secure, and aligned with organizational goals.

What job categories do people searching Platform Manager jobs in Hull, MA look for?

The top searched job categories for Platform Manager jobs in Hull, MA are:

What cities near Hull, MA are hiring for Platform Manager jobs?

Cities near Hull, MA with the most Platform Manager job openings:

Infographic showing various Platform Manager job openings in Hull, MA as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 13% Part Time, and 1% Contract. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution, with an average salary of $135,053 per year, or $64.9 per hour.

Generative AI Platform Manager, Vice President

State Street Global Advisors

Quincy, MA

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 21 hours ago


Job description

About the Role

We're seeking a strategic, hands-on VP to lead the design and delivery of our enterprise Generative AI platform. Primary depth required in AWS Bedrock, Azure AI Foundry, Azure OpenAI, and Databricks, with strong skills in IaC authorship, Harness CI/CD, FinOps, and AI-assisted developer tooling. You'll set technical direction, author production-grade constructs, mentor senior engineers, and enable data scientists and application teams to ship Gen AI solutions at scale.

Key Responsibilities

AWS Bedrock Platform (Primary)

  • Own enterprise Bedrock strategy: model access governance, provisioned throughput, cross-region inference, multi-account architecture
  • Operationalize Knowledge Bases, Agents, Guardrails, Prompt Management, Flows, and Model Evaluation
  • Lead FM lifecycle across Claude, Nova/Titan, Llama, Mistral, and Cohere
  • Design RAG on Bedrock with OpenSearch Serverless, Aurora pgvector, and Kendra
  • Optimize consumption: on-demand vs. PT, model routing, prompt caching, token efficiency

Azure AI Foundry & Azure OpenAI (Primary)

  • Own Foundry hub/project architecture, model catalog governance, and quota management
  • Lead Azure OpenAI patterns (PTU vs. PAYG, capacity planning, content filters) across GPT-4o, GPT-4.1, and o-series models
  • Architect RAG/agent workloads with AI Search, prompt flow, and Agent Service
  • Implement Content Safety, private networking, Entra ID, CMK, and data residency controls

Databricks & Data-Centric AI (Primary)

  • Own Databricks strategy on AWS and Azure: workspace architecture, Unity Catalog, cluster policies
  • Lead Mosaic AI adoption: Model Serving, Vector Search, Feature Store, AI Gateway, MLflow
  • Architect fine-tuning/pretraining pipelines and lakehouse-native RAG on Delta Lake
  • Establish DBU cost controls and serverless governance

Infrastructure as Code & Golden Paths

  • Author L2/L3 CDK constructs (TypeScript/Python), Bicep modules, and Terraform for multi-cloud AI infra
  • Codify secure-by-default "golden paths" enabling teams to launch Gen AI workloads in hours
  • Standardize config-as-code, secrets management, and drift detection

Harness CI/CD

  • Own Harness pipelines, templates, and delegates for Bedrock, Azure OpenAI, Foundry, and Databricks Asset Bundles
  • Integrate with GitOps, Terraform/CDK/Bicep, OPA policy-as-code, and approval gates
  • Establish reference pipelines with linting, security scanning, model eval, and cost checks

Developer Experience

  • Champion Claude Desktop, MCP servers, and AI coding assistants (Copilot, Cursor, Claude Code)
  • Build internal MCP servers exposing enterprise systems to agentic clients
  • Define secure usage patterns for regulated environments; measure productivity impact

Governance & Leadership

  • Establish security, compliance, and responsible AI controls (red-teaming, audit logging, guardrails)
  • Build observability across CloudWatch, Azure Monitor, Databricks system tables, Grafana, Datadog
  • Partner with Data, MLOps, Security, and Application leadership; recruit and mentor a top-tier team
Required Skills
  • Bedrock: Knowledge Bases, Agents, Guardrails, Flows, PT; Claude, Nova, Llama, Mistral; RAG and vector stores (OpenSearch, pgvector, Pinecone, Kendra); agent frameworks (Bedrock Agents, LangGraph, Strands)
  • Azure AI: Foundry hubs/projects, prompt flow, Agent Service; Azure OpenAI (GPT-4o/4.1, o-series, PTU); AI Search; Content Safety
  • Databricks: Mosaic AI, Vector Search, AI Gateway, MLflow, Unity Catalog, Asset Bundles, Delta Lake
  • IaC: CDK L2/L3 (TS/Python), Bicep, Terraform (multi-cloud), secrets management
  • CI/CD: Harness (YAML pipelines, delegates, templates, GitOps), OPA/Rego, GitHub Actions, Azure DevOps
  • FinOps: Token/PTU/DBU governance, tagging, chargeback, capacity planning, token/model optimization
  • Dev Tooling: Claude Desktop, MCP server authoring, Claude Code, Copilot, Cursor
  • Cloud: Deep AWS + Azure (networking, IAM/Entra ID, private endpoints); Docker/Kubernetes (EKS/AKS); serverless; API design; complementary GCP/Vertex AI
  • Data: Delta Lake, Unity Catalog, RAG/fine-tuning data pipelines, governance/lineage
  • Observability: CloudWatch, Azure Monitor, App Insights, Grafana, Arize, Datadog
  • Languages: Python (primary), TypeScript
  • Leadership: Scaling senior teams hands-on, executive communication, owning budgets/roadmaps
Education & Experience
  • Bachelor's or Master's in CS, Engineering, or IT
  • 10+ years in platform/cloud/SRE engineering
  • 5+ years hands-on AWS and Azure with production depth in Bedrock, Azure OpenAI/Foundry, and Databricks
  • 3+ years in technical leadership or people management
  • Financial services or regulated-industry experience strongly preferred
Preferred Qualifications
  • Published CDK construct libraries, Bicep registries, or Terraform modules consumed enterprise-wide
  • Enterprise-scale Harness pipeline authoring and rollout
  • Fine-tuning/continued pretraining experience (LoRA, QLoRA, RLHF, DPO) on Mosaic AI, Azure OpenAI, or Bedrock Custom Models
  • Model optimization: quantization, distillation, prompt caching, speculative decoding
  • PTU/PT capacity planning at scale
  • Production MCP servers and Claude Desktop deployments in regulated environments
  • Agentic frameworks (Bedrock Agents, Azure AI Agent Service, Databricks Agent Framework, LangGraph, Strands)
  • AI safety/guardrail frameworks (Bedrock Guardrails, Azure Content Safety, NeMo, Guardrails AI)
  • Measurable FinOps wins (token/DBU/inference cost reduction)
  • Open-source contributions (CDK, Terraform providers, MCP)
  • Multi-tenant AI platforms with chargeback/showback
  • Board/regulator-level presentation experience
Certifications (one or more preferred)
  • AWS: Solutions Architect Pro, ML Specialty, DevOps Engineer Pro
  • Azure: AZ-305, AI-102, AZ-400, OP-100
  • Databricks: Data Engineer Pro, ML Pro, or Generative AI Engineer Associate
  • GCP: Professional Cloud Architect or ML Engineer (complementary)
  • Harness: Certified Expert (CD or Platform)
  • Anthropic: Claude Builder or partner credentials

Salary Range:

$120,000 - $202,500 Annual

The range quoted above applies to the role in the primary location specified. If the candidate would ultimately work outside of the primary location above, the applicable range could differ.

Employees are eligible to participate in State Street's comprehensive benefits program, which includes: our retirement savings plan (401K) with company match; insurance coverage including basic life, medical, dental, vision, long-term disability, and other optional additional coverages; paid-time off including vacation, sick leave, short term disability, and family care responsibilities; access to our Employee Assistance Program; incentive compensation including eligibility for annual performance-based awards (excluding certain sales roles subject to sales incentive plans); and, eligibility for certain tax advantaged savings plans.

For a full overview, visit https://hrportal.ehr.com/statestreet/Home.

About State Street

Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success.

We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential. As an essential partner in our shared success, you'll benefit from inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most. Join us in shaping the future.

As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law.

Discover more information on jobs at StateStreet.com/careers

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It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.