Highly Motivated Jobs in Remote

160,571 open positions · Updated daily

Looking for Highly Motivated jobs in Remote? Browse our curated listings with transparent salary information to find the perfect Highly Motivated position in the Remote area.

MidLevel Java engineer creating new microservices collaborating with frontend developers

Mid-Level Java Engineer

Company: Vigil

Location: Remote

Posted Jan 30, 2025

The job posting is for a MidLevel Java engineer position in Portugal or Brazil. The role involves creating and maintaining microservices for a new payments solution, collaborating with various team members, and participating in Agile Scrum processes. The ideal candidate should have 4+ years of Java development experience, proficiency in Java 11+, Spring framework, SQL, JPA/Hibernate, RESTful web services, and Maven. Knowledge of Kafka, CI tools, and Agile development is also required. The company offers a collegial environment, ongoing training, and the possibility of travel.

View Details Apply on BuiltIn

Manager, Firmware Engineering

Company: Samsara Inc.

Location: Remote

Posted Jan 30, 2025

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Regional Vice President, Enterprise Sales - Segment (WEST)

Company: Twilio

Location: Remote

Posted Jan 30, 2025

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Contracts Manager

Company: ServiceNow

Location: Austin, TX / Remote

Posted Jan 30, 2025

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Channel Practice Development Lead, Rovo AI

Company: Atlassian

Location: San Francisco, CA / Remote

Posted Jan 30, 2025

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Senior Account Executive 2

Company: Equinix, Inc

Location: Mumbai, India / Remote

Posted Jan 30, 2025

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Senior Commercial Counsel, EMEA

Company: Abnormal Security

Location: Remote

Posted Jan 30, 2025

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leading AI observability and evaluation platform world-class software solution to improve AI applications Backend Engineering team builds scalable distributed services

Senior AI Product Engineer, Backend

Company: Arize AI

Location: Remote

Posted Jan 30, 2025

Arize is a leading AI observability and evaluation platform, offering a world-class software solution to improve AI applications. The Backend Engineering team builds scalable distributed services, primarily in Go, Python, Java, and TypeScript. The role involves writing maintainable, scalable, and performant backend code, building high-volume analytics systems, designing APIs for ML and LLM workflows, and collaborating with product design and customer engineering teams. The ideal candidate has 5+ years of experience with high-performance backend systems, strong experience in Go, Python, TypeScript, Node.js, Java, or similar languages, and a keen interest in the AI and LLM ecosystem. Bonus points for experience with distributed stream processing, OLAP systems, system observability tooling, and Machine Learning/Data Science.

View Details Apply on BuiltIn

Principal Solutions Engineer, India & SAARC

Company: Cloudflare

Location: Remote

Posted Jan 30, 2025

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leading AI observability and evaluation platform exceptionally motivated new graduates complex technical challenges

AI Product Engineer, New Grad

Company: Arize AI

Location: Remote

Posted Jan 30, 2025

Arize, a leading AI observability and evaluation platform, is seeking exceptionally motivated new graduates for an entry-level position. The role involves working on complex technical challenges, such as computing model evaluation metrics, creating AI agents, and building systems that handle millions of annotations per second. The company offers world-class mentorship, opportunities for career acceleration, and a competitive compensation package. Arize is committed to making AI work for people and promoting responsible AI practices.

View Details Apply on BuiltIn

Partner Sales Manager

Company: Sumo Logic

Location: Frankfurt, Germany / Remote

Posted Jan 30, 2025

View Details Apply on The Muse

Reliability Engineering Manager

Company: GE Vernova

Location: Williamsport, PA / Remote

Posted Jan 30, 2025

View Details Apply on The Muse

Frequently Asked Questions

What are the typical salary ranges by seniority for Highly Motivated roles?
Entry‑level Product Owners and Growth Analysts earn between $80,000 and $110,000 annually. Mid‑level positions, such as Product Managers or Growth Managers, command $110,000 to $150,000. Senior roles—including Senior Product Managers, Head of Growth, and Lead Data Scientists—typically range from $150,000 to $200,000+, with top performers at scaleable tech firms exceeding $250,000 including equity.
What skills and certifications are required for Highly Motivated professionals?
Core product skills include Certified ScrumMaster or Pragmatic Marketing certification, proficiency in JIRA, Confluence, and road‑mapping tools like Productboard. Growth professionals should be certified in Google Analytics, Mixpanel, and have hands‑on experience with A/B testing platforms such as Optimizely. Data‑centric roles demand Python, SQL, Tableau, and ML framework knowledge (TensorFlow, PyTorch). Advanced certifications like PMP, Lean Six Sigma Green Belt, or AWS Certified Solutions Architect are highly valued.
Is remote work available for Highly Motivated positions?
About 70% of the 1,034 listings are remote‑first, with many offering flexible hybrid schedules. Remote roles are common for product road‑mapping, growth experimentation, and data science, while solutions architecture positions may require occasional on‑site collaboration for infrastructure deployment.
What career progression paths exist within Highly Motivated roles?
Typical trajectories start at Associate PM or Growth Analyst, advance to Product Manager or Growth Manager, then to Senior Product Manager or Head of Growth, and culminate in Director or VP positions. Data roles progress from Data Analyst to Data Scientist, Lead Data Scientist, and Director of Analytics, often moving into product or strategy leadership.
What industry trends are shaping Highly Motivated roles today?
The field is increasingly driven by AI‑augmented product decisions, real‑time analytics, and continuous experimentation. Remote product teams leverage tools like Asana, Airtable, and Slack for collaboration. Growth teams adopt Growth‑as‑a‑Service platforms and focus on OKR alignment. Data scientists are integrating automated feature engineering pipelines and deploying models via MLOps workflows on cloud platforms.

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