Engineering Manager, Document Platform Job at Harvey (San Francisco)

Engineering Manager, Document Platform

At Harvey, we’re transforming how legal and professional services operate — not ...

Location

United States , San Francisco

Salary:

260000.00 - 330000.00 USD / Year

Harvey

Expiration Date

Until further notice

Requirements

2+ years of experience in a software engineering management role, leading backend teams operating in technically complex domains
A track record of leading high-performing, engaged engineering teams
A strong foundation in backend systems, with 5+ years of hands-on experience designing and operating distributed systems in a cloud environment
Ideally, direct experience in architecting or scaling document ingestion and processing, search systems, or data infrastructure (e.g. OCR pipelines, Elasticsearch, vector databases)

Job Responsibility

Lead and grow a team of world-class engineers working on document ingestion, understanding, and retrieval
Define and execute a long-term technical roadmap for our document processing systems that aligns with Harvey’s product vision and the needs of our customers
Collaborate closely with Product, Infrastructure, and Applied AI teams to design robust systems that bridge cutting-edge research and production readiness
Stay hands-on: unblock engineers, participate in architecture reviews, and dive into code when needed
Cultivate a culture of engineering excellence, thoughtful experimentation, and continuous improvement

What we offer

Comprehensive health, dental and vision coverage
retirement benefits (401k match up to 4%)
flexible PTO
equity plan
bonus

Fulltime

Platform Engineering Manager

As Platform Engineering Manager at Power Design, you'll lead the buildout of our...

Location

United States , St Petersburg

Salary:

Not provided

Power Design

Expiration Date

Until further notice

Requirements

Education: Bachelor's degree in Computer Science, Computer Engineering, Information Systems, or a related field
equivalent professional experience considered
Experience: 7–10 years of progressive experience in infrastructure engineering, platform engineering, DevOps, or SRE — with meaningful time in both hands-on implementation and technical leadership
Preferred certifications: HashiCorp Terraform Associate, AWS/Azure Solutions Architect, CKA/CKAD, or equivalent cloud or platform engineering certifications
Hands-on production experience with at least one major cloud platform (Azure, AWS, GCP, or OCI)
breadth across multiple platforms strongly preferred
Demonstrated history of evaluating infrastructure decisions through a cloud-first lens, identifying when to leverage cloud services rather than defaulting to on-premises solutions
Hands-on expertise with Terraform or a comparable IaC framework
GitOps pipeline experience (GitHub Actions, Azure DevOps, GitLab CI, or similar)
Production experience implementing enterprise observability and AIOps tooling (Datadog, Dynatrace, New Relic, Prometheus/Grafana, or equivalent), including anomaly detection, event correlation, and automated remediation workflows

Job Responsibility

Design, build, and maintain automation for infrastructure provisioning, configuration, and lifecycle management — with security controls built in from the start
Lead the evaluation, selection, and implementation of Power Design's first enterprise observability and AIOps platform, owning the decision end-to-end from vendor assessment through production rollout
Develop and maintain observability tooling, dashboards, and automated remediation workflows covering metrics, logging, tracing, and alerting across cloud and on-premises environments
Build and enforce CI/CD pipelines for infrastructure and platform services using GitOps best practices
Continuously evaluate the infrastructure footprint and identify workloads where cloud migration would improve resilience, reduce complexity, or lower cost — and build the business case to act on it
Apply a security-first lens to every platform decision, including IAM/RBAC design, secrets management, Zero Trust implementation (Zscaler), and policy-as-code
Create self-service infrastructure workflows — provisioning automation, access workflows, and internal developer tooling — to reduce ticket volume and enable engineering teams to move faster
Leverage AI-assisted tooling for anomaly detection, event correlation, and operational insights to drive a proactive operations model
Establish and own design standards, architectural consistency, and IaC strategy across the Platform Engineering function
Provide technical leadership and mentorship to platform engineers

Fulltime

Platform Engineering Manager

As Microsoft continues to push the boundaries of AI, we are on the lookout for p...

Location

United States , Redmond

Salary:

163000.00 - 296400.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
OR Master's Degree in Computer Science or related technical field AND 10+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
OR equivalent experience
8+ years' experience building scalable services on top of public cloud infrastructure like Azure, AWS, or GCP. Extensive use datastores like RDBMS, key-value stores, etc.
8+ years' experience building distributed systems at scale and extensive systems knowledge that spans bare-metal hosts to containers to networking
6+ years people management experience
Experience working with AI platforms, frameworks, and APIs
Experience using Machine Learning frameworks, including experience using, deploying, and scaling language learning models, either personally or professionally
Ability to identify, analyze, and resolve complex technical issues, ensuring optimal performance, scalability, and user experience
Dedication to writing clean, maintainable, and well-documented code with a focus on application quality, performance, and security

Job Responsibility

Build secure and performant AI Platform services that power Copilot
Work collaboratively with other Platform, infrastructure, application engineers as well as AI Researchers to build next generation AI products and services
Ship high-quality, well-tested, secure, and maintainable code
Find a path to get things done despite roadblocks to get your work into the hands of users quickly and iteratively
Enjoy working in a fast-paced, design-driven, product development cycle
Embody our Culture and Values

Fulltime

Manager, Platform Engineering

As Manager, Platform Engineering, you'll lead the infrastructure team that empow...

Location

Canada

Salary:

160000.00 - 196000.00 CAD / Year

KOHO

Expiration Date

Until further notice

Requirements

5+ years in platform engineering, SRE, or DevOps roles with hands-on experience building and operating cloud infrastructure (AWS or equivalent, Kubernetes, Terraform, Cloud Infra CI/CD) in production environments at scale
Experience managing engineering teams (4-6+ people), with demonstrated success coaching engineers, managing performance, driving team delivery, and building inclusive high-trust team cultures
You excel at taking high-level business objectives and translating them into actionable technical strategies
You can define technical roadmaps and improve team processes
You can translate complex technical concepts for non-technical stakeholders, write clear documentation, and build strong cross-functional relationships
You understand how infrastructure decisions cascade through developer velocity, product delivery, costs, security, and business outcomes
Team management experience: 2-4 years successfully managing a single engineering team
Strong track record owning production operations, setting and maintaining SLAs, and handling incident response for critical systems
Hands-on experience with infrastructure technologies and ability to guide engineers through complex technical challenges
Demonstrated ability to learn, adapt, and continuously improve both yourself and your team

Job Responsibility

Empowering engineering teams to build, ship, and operate products faster and more reliably through world-class platform infrastructure
Lead critical infrastructure & reliability initiatives: Drive cloud infrastructure architecture, disaster recovery capabilities, high-availability systems design, and compliance-ready infrastructure for a regulated financial services environment
Build and lead a high-performing platform team: Manage a team of cloud infrastructure engineers through complex technical challenges while creating clear career growth paths and maintaining a culture of continuous learning and operational excellence
Own production operations & site reliability: Ensure exceptional availability and reliability of production systems through proactive monitoring, incident response, performance optimization, and cost efficiency
Enable security & regulatory compliance: Implement and maintain infrastructure for industry security standards and regulatory requirements while managing vulnerability remediation and access controls in partnership with our Cyber Security team
Drive platform strategy & innovation: Define the technical roadmap for cloud infrastructure, Cloud Infra CI/CD, container orchestration, Infrastructure as Code, and developer infra tooling while leveraging AI and automation to reduce operational toil

What we offer

Competitive compensation & equity
Fantastic, Deeply Engaged Team
Generous vacation + Wellness days + Flex Days + holiday closure
Remote-first environment + coworking support + yearly all hands retreat
Access to coaching & growth programs
Parental top-up & leave policies
Comprehensive health benefits
Power-up budgets for books, home office setup, phone & internet, AI tools, and professional development

Fulltime

Engineering Manager - Data Platform

We are seeking an Engineering Manager to lead our Measurement Data Engineering t...

Location

Canada , Vancouver

Salary:

Not provided

Two Circles

Expiration Date

Until further notice

Requirements

6+ years of experience in software engineering, data engineering, or a closely related technical field
2+ years of experience managing, coaching, or formally leading engineers
Experience leading engineering teams in a fast-paced, agile product environment
Strong understanding of modern data engineering concepts, including data pipelines, data quality, orchestration, batch processing, cloud infrastructure, and production operations
Experience working with cross-functional stakeholders such as Product Management, QA, Support, Client Enablement, Engineering Directors, and business teams
Experience supporting performance management, goal setting, career development, feedback conversations, and team planning
Experience improving engineering processes, delivery predictability, team collaboration, and operational maturity
Experience participating in hiring, onboarding, and growing engineering teams
Strong people leadership skills with the ability to coach, motivate, and develop engineers at different career stages
Proven ability to create clarity, alignment, and accountability within a team

Job Responsibility

Lead, coach, and support a team of data engineers through regular 1:1s, performance conversations, feedback, and career development planning
Drive team effectiveness across regions by improving ways of working, delivery processes, collaboration patterns, and engineering practices
Partner with Product, QA, Engineering Leadership, Support, and Client Enablement to align priorities, clarify expectations, and ensure successful delivery
Foster a culture of ownership, accountability, technical excellence, collaboration, and continuous learning
Support the growth of the India-based engineering hub by contributing to hiring, onboarding, and team development
Manage multiple data engineers, providing line management, coaching, feedback, and performance support
Build and maintain a high-performing engineering team by setting clear expectations, creating development plans, and supporting individual career growth
Own goal setting, performance planning, and regular performance conversations for team members
Partner with the Engineering Director to translate engineering strategy into actionable team goals and priorities
Work closely with Product Management to understand roadmap priorities, clarify scope, and support predictable delivery

Fulltime

Principal Software Engineering Manager, Simulation Platform - CoreAI

The AI Frameworks team at Microsoft develops AI software that enables running AI...

Location

United States , Multiple Locations

Salary:

163000.00 - 296400.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science, or related technical discipline
5+ years of experience building/managing team of software engineers
5+ years of experience managing a software project
10+ years of experience in computer architecture and/or embedded systems/software
10+ years of software development experience
10+ years of experience with C++ based object-oriented programming and design
Ability to meet Microsoft, customer and/or government security screening requirements
1+ years’ experience with Python
A deep technical background and solid foundation in computer architecture, system/hardware simulation, embedded software development and/or firmware
Experience designing and/or managing large C++ OOP, scalable, multi-threaded and multi-process software

Job Responsibility

Managing a team of software engineers
Managing development of AI chip simulator, which involves writing requirements, scoping and planning solutions, estimating and assigning work, scheduling and tracking deliverables, integration and releases to partner team, documentation
Technical contribution to design, code quality reviews, and capable to step in with hands-on code development when necessary (C++ and Python)
Collaborate broadly across multiple disciplines and with various partner teams from hardware designers to AI models developers

Fulltime

Engineering Manager - Data Platform & Analytics

Fluent is building the next-generation advertising network, Partner Monetize & A...

Location

United States

Salary:

160000.00 - 225000.00 USD / Year

Fluent, Inc

Expiration Date

Until further notice

Requirements

6+ years of experience in Data Engineering or Analytics, with at least 2 years managing or leading teams
Deep Databricks expertise: Workflows, Delta Lake, Unity Catalog, and platform administration
Strong Spark experience: PySpark, Spark SQL, and understanding of distributed processing internals
Business intelligence expertise: dashboard development, KPI frameworks, and analytics tooling (Tableau, Looker, Power BI, or similar)
Experience with streaming architectures: Kafka, event-driven processing, and real-time pipelines
Proven people management skills: hiring, mentoring, performance management, and team development
AWS experience: S3, IAM, and cloud infrastructure fundamentals
Strong communication skills for partnering with technical and business stakeholders

Job Responsibility

Own Databricks platform strategy: architecture decisions, Unity Catalog migration, cost optimization, and operational excellence
Drive data pipeline development: real-time and batch pipelines using PySpark, Spark Structured Streaming, and Delta Lake
Establish data quality standards: validation frameworks, monitoring, alerting, and SLA management
Partner with Data Architects to translate Enterprise Data Models into performant physical implementations
Integrate streaming infrastructure: Kafka-based event-driven ingestion and processing
Build reporting capabilities: dashboards, KPIs, and self-service analytics for internal and client-facing use
Drive data storytelling: executive presentations, client reporting, and strategic business insights
Develop metrics frameworks: campaign performance, audience quality, and platform health KPIs
Support ad-hoc analysis for campaign optimization and business questions
Lead and grow DE and Analytics teams: hiring, mentoring, performance management, and career development

What we offer

Competitive compensation
Ample career and professional growth opportunities
New Headquarters with an open floor plan to drive collaboration
Health, dental, and vision insurance
Pre-tax savings plans and transit/parking programs
401K with competitive employer match
Volunteer and philanthropic activities throughout the year
Educational and social events

Fulltime

Senior Engineering Manager, ML Platform

We’re looking for hands-on builders–intellectually curious, deeply technical lea...

Location

United States , San Francisco, CA; Los Angeles, CA; New York, NY; Seattle, WA

Salary:

255000.00 - 345000.00 USD / Year

Whatnot

Expiration Date

Until further notice

Requirements

4+ years of engineering management experience developing production machine learning systems at consumer-scale loads
Bachelor’s degree in Computer Science, Statistics, Applied Mathematics or a related technical field, or equivalent work experience
5+ years of hands-on software engineering experience building and maintaining production systems for consumer-scale loads
1+ years of professional experience developing software in Python
Ability to work autonomously and drive initiatives across multiple product areas and communicate findings with leadership and product teams
Experience with operational, search, and key-value databases such as PostgreSQL, DynamoDB, Elasticsearch, Redis
Experience working with with ML-specific tools and frameworks such as MLFlow, LitServe, TorchServe, Triton
Firm grasp of visualization tools for monitoring and logging e.g. DataDog, Grafana
Familiarity with cloud computing platforms and managed services such as AWS Sagemaker, Lambda, Kinesis, S3, EC2, EKS/ECS, Apache Kafka, Flink
Professionalism around collaborating in a remote working environment and well tested, reproducible work

Job Responsibility

Own the infrastructure powering AI and ML models across critical business surfaces–supporting growth, recommendations, trust and safety, fraud, seller tooling, and more
Guide the prototyping, deployment, and productionization of novel ML architectures that directly shape user experience and marketplace dynamics
Help design and scale inference infrastructure capable of serving large models with low latency and high throughput
Oversee and evolve real-time feature pipelines that feed both our online and offline stores, ensuring single-second feedback from behavioral signals, high reliability, and model training fidelity
Drive feature platform improvements and expand scope to cover non-ML use cases such as fraud rules where point-in-time backtesting is also critical
Lead the development of distributed training and inference pipelines leveraging GPUs and both model and data parallelism
Optimize system performance by managing resource utilization and developing intelligent feature caching strategies
Empower scientists to iterate faster by building abstractions, APIs, and developer tools that simplify the development of near-realtime features and model iteration
Roll out ever-better ergonomics around model training and deployment
Stretch beyond your comfort zone to take on new technical challenges as we scale AI across Whatnot’s ecosystem

What we offer

Generous Holiday and Time off Policy
Health Insurance options including Medical, Dental, Vision
Work From Home Support
Home office setup allowance
Monthly allowance for cell phone and internet
Care benefits
Monthly allowance for wellness
Annual allowance towards Childcare
Lifetime benefit for family planning, such as adoption or fertility expenses
Retirement

Fulltime

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Engineering Manager, Document Platform

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