Forward Networks is transforming how the world’s most complex networks are managed and secured. Founded in 2013 by four Stanford Ph.D.s, we built the industry’s first network digital twin — a mathematically precise model of the production network that gives IT teams unmatched visibility, verification, and agility across every major cloud and vendor environment.

Our customers include global leaders such as Goldman Sachs, PayPal, S&P Global, IBM, and Dell, as well as fast-growing enterprises and government agencies. According to IDC, Forward Networks customers realize an average of $14.2 million in annual benefits through improved efficiency and security.

Backed by world-class investors including Andreessen Horowitz, Goldman Sachs, MSD Partners, and Threshold Ventures, Forward Networks offers a people-centric, innovative culture where brilliant minds are shaping the future of network reliability, security, and AI-ready operations.

Forward Networks seeks a pragmatic, end-to-end Data Scientist who can operate across the full data lifecycle, from ingestion and modeling to productionizing key data systems.  This is a high-impact, high-agency, "help steer the ship" role which reports directly to the CTO.  Modern AI-assisted development tools make this role possible, where the data scientist can now do real engineering, too. 

What You'll Do

• Collaborate closely with other teams (Sales, Finance, Product, Marketing, and more) to translate problems and needs into action-oriented data solutions
• Design, build, and maintain data pipelines for reliable ingestion and transformation
• Rapidly prototype and iterate using AI coding tools to accelerate development and reduce toil
• Drive rigor and best practices, with a focus on data quality, consistency, and transparency
• Develop and deploy statistical models and machine learning, where appropriate
• Build clear, decision-oriented visualizations and dashboards for stakeholders across multiple departments
• Own selected production data systems: selection, orchestration, monitoring, and tuning
• Communicate and shepherd key data results and analysis to executives

What We're Looking for

• Experience with B2B SaaS-relevant data, including Salesforce and financial metrics
• Strong communication skills and ability to work effectively across multiple departments and stakeholder groups
• Ownership mindset and ability to deliver end-to-end outcomes independently; must be a "startup type"
• Demonstrated ability to design data pipelines and work with imperfect, evolving data sources
• Sharp attention to data quality, including validation, anomaly detection, and root-cause analysis of inconsistencies
• Strong proficiency in Python and SQL; experience with modern data stack tools (e.g., dbt, Airflow, Spark, or equivalents, a plus)
• Experience with data visualization tools (e.g., Tableau, Looker, or similar)
• Some familiarity with infrastructure and related setup (databases, data warehouses, VMs)
• Knowledge of core machine learning concepts and when to apply them pragmatically

Example Initial Projects

• Build a likelihood-of-close model for Salesforce opportunities, which factors in relevant metadata and history
• Create a framework and initial implementation for an executive operational dashboard, working with a broad set of teams
• Define, validate, and implement key SaaS product-usage metrics

As we grow, you will, too, with the broad scope of a software startup.

Location: Bay Area preferred (HQ in Santa Clara), but open to the right remote candidate.

Salary Range: The base pay range for this role is between $170,000 and $190,000. Base pay will depend on your skills, qualifications, experience, and location

Forward Networks is transforming how the world’s most complex networks are managed and secured. Founded in 2013 by four Stanford Ph.D.s, we built the industry’s first network digital twin — a mathematically precise model of the production network that gives IT teams unmatched visibility, verification, and agility across every major cloud and vendor environment.

Our customers include global leaders such as Goldman Sachs, PayPal, S&P Global, IBM, and Dell, as well as fast-growing enterprises and government agencies. According to IDC, Forward Networks customers realize an average of $14.2 million in annual benefits through improved efficiency and security.

Backed by world-class investors including Andreessen Horowitz, Goldman Sachs, MSD Partners, and Threshold Ventures, Forward Networks offers a people-centric, innovative culture where brilliant minds are shaping the future of network reliability, security, and AI-ready operations.

Forward Networks is looking for an experienced Infrastructure Engineer. As an Infrastructure Engineer, you will support the deployment, operation, and evolution of internal platforms and applications.  

In this role, you'll have hands-on time with a wide breadth of systems and system types, going beyond just core “IT”, to frequent interactions with security and engineering teams.  As we grow our infrastructure, (both on-prem and in-cloud), and grow the team, you’ll have ample opportunities to learn.  Both Dev and Ops work is in scope.

Storage, Compute, Network, Cloud, or Application?  If you said ‘Yes’, you may be the right fit.

Must be able to work from the office in Santa Clara at least two days a week, and able to come in as needed.

Responsibilities:

• Drive development work for physical systems, network devices, and virtual machines - to add new systems, replace existing ones, or integrate new functionality
• Drive operations for corporate systems: handle tier-two escalations, write runbooks, and do knowledge transfer to systems engineers on the team
• Implement corporate security policies into all systems
• Drive updates and patching

Required background:

• Thirst for knowledge / desire to learn and grow
• Ability to effectively debug hard problems on a range of systems types
• Infrastructure Systems Experience: experience configuring, operating, and maintaining:
• Virtualization Hosts: (OpenShift/Kubernetes and VMware vCenter/ESX)
• DDI Systems (DNS, DHCP, IPAM)
• Network and security infrastructure (experience with routers/routing, switches/switching, and firewalls/network policy)
• Backup and disaster recovery systems
• Working knowledge of wireless networking and troubleshooting of them
• Comfort and working experience with CLI and Linux
• Understanding of application-relevant security concepts, including certificates, VPNs,  and encryption
• Understanding of network connectivity concepts, including IP address allocation, tunneling, L2/L3 routing and switching, firewalls, and proxies (ideally, CCNA-level knowledge or better)
• 3-5 years of hands on experience with network equipment and servers

Nice-to-have:

• Scripting: Practical scripting and automation experience, including git, Bash, Python, Ansible, Terraform, Kubernetes, REST APIs, etc.
• Comfort working with AI tools / processes and effective prompting
• Cloud: Experience provisioning and using resources in AWS (or other clouds)
• File servers and NAS (disk and flash-based) - basic knowledge and understanding of storage is required but specific / detailed knowledge of a specific system or format is not required
• iSCSI knowledge
• Access and identity systems (SSO, LDAP, VPN, …)

Examples of potential job tasks:

• Move Jira to the Cloud
• Fix issues (provisioning, resource allocation, performance, etc) in Kubernetes, bonus for VMWare
• Generate and deploy certificates to a running app
• Change a system to use Okta auth via SAML
• Write and maintain inventory discovery and reconciliation scripts
• Writing a runbook
• Writing a high / low level design document

Salary Range: The base pay range for this role is between $175,000 and $210,000. Base pay will depend on your skills, qualifications, experience, and location