[Remote] IT Engineer at Swish Analytics

San Francisco, California, United States

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Not SpecifiedCompensation

N/AExperience Level

N/AJob Type

Not SpecifiedVisa

N/AIndustries

Requirements

4+ years of hands-on IT experience in fast-growth environments
Has personally supported 150+ users as primary or solo IT resource
Experience building IT function from scratch or early stage
Proven track record of scaling IT operations (doubling headcount within 2 years)
Mac-first environment expertise (deployment, MDM, troubleshooting at scale)
Google Workspace administration (user lifecycle, groups, security policies)
Atlassian administration (Jira, Confluence, etc)
Identity & Access Management - Has implemented SSO/SAML (Okta, OneLogin, or similar)
Scripting proficiency in at least one: Python, Bash, or PowerShell for automation
Cloud infrastructure literacy (AWS console navigation, IAM basics, cost awareness)
Built and documented IT processes from zero (onboarding, offboarding, asset management)
Experience with IT ticketing systems and SLA management
Asset lifecycle management at scale (procurement, deployment, refresh cycles)
Remote workforce support experience (shipping, returns, troubleshooting)
EDR deployment and management (CrowdStrike, SentinelOne, or similar)
Understanding of security frameworks
Device compliance and policy enforcement via MDM
Incident response experience
Self-starter - Comfortable with ambiguity and building structure
Credibility builder - Can influence without authority, earn trust quickly
Pragmatic - Knows when "good enough" beats perfect
Communicator - Can explain technical concepts to non-technical stakeholders

Responsibilities

Maintain and manage inventory of all company IT assets (laptops, peripherals, and other hardware)
Manage the lifecycle of company assets including procurement, configuration, delivery, repair, and decommissioning
Coordinate with HR, Security, and other teams to support onboarding, maintenance (permissioning, troubleshooting, testing), offboarding, and other IT/security-related workflows
Responsible for maintaining the strict confidentiality and security of sensitive company and client data hosted on managed servers and cloud platforms
Provide first-line support for IT troubleshooting (hardware & software), including primarily Apple environments with some Windows environments
Assist with IT/security-related projects, ensuring tasks are tracked, updated, and delivered on time
Assist with documentation of IT processes and procedures for compliance and security purposes
Managing user accounts on different platforms such as account creation, password reset, etc
Work with Security and Infrastructure team to develop and execute a plan to scale SSO
Utilize basic coding/scripting skills to automate repetitive IT tasks or support integration
Apply AWS knowledge for cloud environment tasks or support

Skills

Swish Analytics

Sports analytics and optimization tools provider

About Swish Analytics

Swish Analytics specializes in sports analytics and optimization tools for daily fantasy sports and sports betting, focusing on major U.S. leagues like the NFL, MLB, NBA, and NHL. The company uses an advanced machine learning system to analyze large datasets, providing accurate sports predictions and optimized lineups. This helps users, including individual bettors and professional operators, make informed decisions about their bets and fantasy picks. Swish Analytics differentiates itself by being an Authorized MLB Data Distributor, establishing trust in the sports betting community. Operating on a subscription-based model, users can access various levels of tools and analytics, starting with a free trial. The goal of Swish Analytics is to maximize return on investment for clients by identifying the best bets and balancing risk and reward for long-term success.

San Francisco, CaliforniaHeadquarters

2014Year Founded

$6.5MTotal Funding

EARLY_VCCompany Stage

Fintech, AI & Machine Learning, Financial ServicesIndustries

51-200Employees

Benefits

Remote Work Options

Risks

Increased competition from AI-driven startups could erode Swish Analytics' market share.

Consumer privacy concerns may impact Swish Analytics' data collection practices.

Potential regulation of sports betting advertising could affect Swish Analytics' revenue streams.

Differentiation

Swish Analytics uses proprietary algorithms for accurate sports predictions and optimized lineups.

The company is an Authorized MLB Data Distributor, enhancing its credibility in sports betting.

Swish Analytics offers a subscription model with free trials, attracting diverse user segments.

Upsides

Increased legalization of sports betting in the U.S. expands Swish Analytics' market opportunities.

The rise of AI-driven personalized betting experiences aligns with Swish Analytics' machine learning expertise.

Growing interest in micro-betting offers Swish Analytics a chance to expand its offerings.

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