2

Remote Python Financial Jobs in Santa Clara, CA (NOW HIRING)

GTM Engineer

San Jose, CA · Remote

$121K - $150K/yr

Remote, US (or hybrid HQ San Jose) Job Type: Full-time Axiad is the identity security company ... Mesh translates identity exposure into financial impact, prioritizes risk across human, machine ...

Staff Engineer, DevOps

San Jose, CA · On-site +1

$164K - $246K/yr

Our mission is to take manual, error-prone work out of financial close and give teams the tools ... Expertise in scripting and automation using Python, Bash, or Go. * Exceptional Communication:

Staff Engineer, DevOps

San Jose, CA · On-site +1

$164K - $246K/yr

Our mission is to take manual, error-prone work out of financial close and give teams the tools ... Expertise in scripting and automation using Python, Bash, or Go. * Exceptional Communication:

... Python or Java Strong SQL (Standard Query Language) skills Proficiency with Test Automation tools ... In addition to a full range of medical, financial, and/or other benefits, dependent on the position ...

We often work in regulated industries, such as healthcare, financial services, government and ... Mainly remote work: seeking candidates in the greater Los Angeles area to mainly work remotely with ...

Research Scientist

Redwood City, CA · On-site +1

$200K - $275K/yr

Redwood City or San Francisco OR REMOTE Main Responsibilities * Design, implement, and validate ... Proficiency in Python and machine learning frameworks (NumPy, Scikit-learn, Pandas, PyTorch ...

next page

Showing results 1-20

Remote Python Financial information

See Santa Clara, CA salary details

$15

$68

$101

How much do remote python financial jobs pay per hour?

As of Jun 28, 2026, the average hourly pay for remote python financial in Santa Clara, CA is $68.85, according to ZipRecruiter salary data. Most workers in this role earn between $56.73 and $78.22 per hour, depending on experience, location, and employer.

What is the difference between Remote Python Financial vs Remote Data Analyst?

AspectRemote Python FinancialRemote Data Analyst
Required CredentialsBachelor's in Finance, Economics, or related; Python programming skillsBachelor's in Statistics, Data Science, or related; proficiency in data analysis tools
Work EnvironmentFinancial institutions, fintech companies, or investment firmsCorporate, consulting firms, or tech companies
Industry UsageFinance, banking, investment managementBusiness, marketing, healthcare, tech
Common Search/ComparisonYesYes

Remote Python Financial professionals focus on developing financial models and algorithms using Python within finance-related industries. In contrast, Remote Data Analysts interpret data across various sectors, utilizing analytical tools to inform business decisions. While both roles require data analysis skills, Remote Python Financial emphasizes finance-specific knowledge and Python programming, making it distinct in industry focus and skill set.

What are popular job titles related to Remote Python Financial jobs in Santa Clara, CA? For Remote Python Financial jobs in Santa Clara, CA, the most frequently searched job titles are:
What job categories do people searching Remote Python Financial jobs in Santa Clara, CA look for? The top searched job categories for Remote Python Financial jobs in Santa Clara, CA are:
GTM Engineer

GTM Engineer

Axiad

San Jose, CA • Remote

$121K - $150K/yr

Other

Posted 25 days ago


Job description

Location: Remote, US (or hybrid HQ San Jose)

Job Type: Full-time

Axiad is the identity security company building Axiad Mesh - the identity risk decision platform for the IVIP era. Mesh translates identity exposure into financial impact, prioritizes risk across human, machine, and agentic identities, and drives remediation through existing operational systems.

The Mesh GTM motion is being built right now - and we need the engineer who wires the revenue engine together. The GTM Engineer is the operational backbone of the revenue team: you build and maintain the outbound infrastructure, CRM architecture, enrichment pipelines, agentic workflows, and automation that let a nimble team operate like one ten times its size. You're not configuring tools - you're designing systems that generate pipeline.

This is a builder role at the intersection of sales, data, and AI. You'll work directly with the CRO and revenue leadership, see the immediate impact of every workflow you ship, and have the rare opportunity to architect the GTM infrastructure from the ground up at a company entering a Gartner-endorsed category.

Role Responsibilities
  • Design, build, and maintain the programmatic outbound engine - signal-based prospecting, multi-channel sequencing, enrichment workflows, and deliverability systems that generate qualified pipeline at scale.
  • Own the CRM architecture - lead routing, lifecycle stages, scoring models, attribution, and data hygiene. Ensure the system of record is the single source of truth for every deal, not a data graveyard.
  • Evaluate, implement, and integrate the tools the revenue team runs on - sequencing platforms, conversation intelligence, proposal automation, and pipeline visibility dashboards.
  • Build AI-powered workflows that automate research, personalization, account scoring, and outreach at a level of quality and scale that manual processes cannot match. Orchestrate across Clay, Regie.ai, LLM APIs, and internal data.
  • Create closed-loop pipeline automation from signal detection through booked meeting - trigger-based outreach, automated follow-up sequences, and real-time pipeline alerting that keeps deals moving.
  • Serve as the operational force multiplier for the entire revenue team. Your infrastructure is what lets a nimble team operate like a department.
  • Instrument every workflow. Track conversion at each stage, run experiments on messaging and sequencing, and optimize based on data - not assumptions.
What We're Looking For
  • Systems builder: You think in workflows and integrations, not tasks. You've built outbound engines, enrichment pipelines, or CRM automation from scratch - and you architect systems that compound over time.
  • Technical fluency: Comfortable with SQL, Python or JavaScript, REST APIs, and no-code/low-code platforms (Clay, Zapier, Make). You write scripts, query data, and build integrations without waiting for engineering.
  • AI-native operator: You use LLMs, agentic frameworks, and AI tooling as core infrastructure - not novelty. You build AI-powered research, personalization, and scoring workflows that run autonomously.
  • Revenue instinct: You understand the sales cycle, have empathy for sellers, and build systems that serve pipeline outcomes - not vanity metrics. You've been close to revenue in a prior role and it shows.
  • Data-disciplined: Obsessive about data hygiene, attribution, and measurement. You know that bad data in CRM poisons every downstream decision.
  • High agency: Speed-oriented, comfortable building in ambiguity. You move without waiting for a playbook, iterate fast, and ship daily. Energized by a nimble team where your work directly moves the number.
Experience & Qualifications
  • 3-5+ years in GTM engineering, revenue operations, growth engineering, sales engineering, or a technical role within a B2B SaaS go-to-market team. What you've built matters more than how long you've been building.
  • Hands-on experience with CRM platforms (Salesforce or HubSpot) at the architecture level - not just as an end user. You've designed lead routing, built automation, and maintained data integrity.
  • Proficiency with modern GTM tooling - enrichment and orchestration platforms (Clay, ZoomInfo, Clearbit), sales engagement platforms (Regie.ai, Outreach, Salesloft), and workflow automation (Zapier, Make, n8n).
  • Working knowledge of SQL and at least one scripting language (Python or JavaScript) and debug a broken workflow is a plus.
  • Demonstrated experience building AI-powered workflows - prompt engineering, LLM API integration, agentic task automation. You've shipped AI systems that run in production, not just prototyped in a notebook.
  • Understanding of outbound deliverability fundamentals - domain warm-up, SPF/DKIM/DMARC, inbox placement, and sender reputation management.
  • Prior SDR, BDR, AE, or revenue-adjacent experience that gives you intuition for what sellers actually need is highly valued.

Experience in B2B SaaS, cybersecurity, or enterprise sales environments is strongly preferred.

Why This Role

You're not inheriting a legacy stack - you're building it. Axiad's Mesh GTM motion is being stood up right now: new product, new category, new revenue team. You'll have direct access to the CRO, work shoulder-to-shoulder with revenue leadership, and see the immediate impact of every system you build. This is a rare chance to architect revenue infrastructure from the ground up at a company entering a Gartner-endorsed category with real enterprise customers.

$140,000 - $175,000 OTE + equity based on experience

ABOUT US

We are a fast-moving company and are looking for candidates with growth potential, eager to learn and who can demonstrate their abilities and motivation to contribute in a fast-paced environment. Axiad offers a competitive compensation and benefits. You will work in a fun and creative environment with a talented group of individuals that have a passion for building great solutions.