Salesforce Engineering Manager

Fanatics•New York, NY

29d

About The Position

Fanatics Betting & Gaming (FBG) is building the industry’s most trusted, scalable, and fan-centric sportsbook experience. Our internal platforms—including Salesforce, backend services, API layers, automation frameworks, and CRM workflows—enable our teams to deliver best-in-class customer operations, marketing, support, and risk management. As a Software Engineering Manager for Internal Platforms, you will lead a team of engineers who build and maintain both Java backend services and Salesforce platform capabilities. These engineers work across API development, microservices, integrations, Apex, Lightning Web Components, automation, and platform configuration. You will provide hands-on technical leadership, guide architectural direction, perform deep code reviews, troubleshoot complex issues, and ensure engineering excellence across all systems the team owns.

Requirements

2 or more years of engineering leadership experience with direct involvement in technical decision making.
5 or more years of engineering experience with strong proficiency in Java, Spring Boot, AWS, distributed systems, and API development.
Ability to deeply review and guide both Java and Salesforce engineering work
Experience troubleshooting distributed systems, backend integrations, and Salesforce platform issues.
Experience managing sprints, engineering capacity, and predictable delivery processes.
Excellent communication skills for working with Product, TPM, and cross-functional stakeholders.
Proven ability to mentor engineers and elevate engineering standards.

Nice To Haves

Experience with Kafka or other event-streaming systems.
Salesforce platform certifications (Administrator, Developer, Architect).
Experience integrating Salesforce with Java-based services, event-driven systems, or middleware.
Experience in high-availability, regulated industries such as gaming, fintech, or payments.
Experience managing remote or distributed engineering teams.
Familiarity with CI/CD pipelines, DevOps tools, and observability frameworks.

Responsibilities

Actively review and approve pull requests across Java and Salesforce codebases, maintaining a high bar for software quality and maintainability.
Dive deep into technical issues, leading troubleshooting and root-cause analysis across backend integrations, distributed systems, and Salesforce workflows.
Lead architecture and design discussions for APIs, microservices, data flows, and Salesforce platform components.
Mentor engineers across Java (Spring Boot, AWS, Kafka) and Salesforce (Apex, LWC, Flows) technologies.
Drive adoption of engineering best practices including testing strategy, CI/CD standards, instrumentation, and architectural consistency.
Own sprint planning, capacity modeling, and workload balancing to ensure predictable, high-quality delivery.
Develop milestone plans, proactively identifying dependencies, risks, and resource constraints.
Ensure sprint execution aligns with engineering standards, technical direction, and system reliability goals.
Monitor team throughput, quality metrics, and operational signals to drive continuous improvement.
Identify and mitigate engineering-level risks early, providing clear options and trade-offs.
Partner closely with Product Managers and TPMs to define requirements, refine scope, and translate features into actionable engineering tasks.
Collaborate with Operations, Support, Marketing, Data, Risk, and Compliance partners to ensure systems meet business and regulatory needs.
Communicate technical decisions, architectural changes, delivery timelines, and risks clearly and consistently.
Lead engineering contributions to change management, assessing system impacts, integration touchpoints, and rollout considerations.
Guide engineers in building and maintaining Java microservices, internal APIs, event-driven systems, and backend integration layers.
Ensure backend systems are performant, observable, resilient, and well-documented.
Drive improvements in reliability practices—including alerting, runbooks, dashboards, and post-incident processes.
Ensure clean integration patterns between backend services, Salesforce, and external systems.
Lead engineering work across Salesforce schema design, automation, Apex/LWC development, platform configuration, and environment strategy.
Ensure engineers apply scalable, maintainable patterns for Salesforce workflows, triggers, flows, and custom components.
Guide integration strategy between Salesforce and backend systems (REST APIs, events, streaming frameworks).
Maintain strong data integrity, access control, and security standards across the Salesforce ecosystem.
Lead root-cause analysis and post-incident reviews, driving long-term engineering improvements.
Ensure systems include strong observability (metrics, logging, tracing) and performance tuning.
Identify systemic issues—technical debt, architectural shortcomings, or process gaps—and drive targeted engineering solutions.
Foster a culture of accountability, reliability, and continuous learning.