Highly Motivated Jobs in New York City, NY

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Looking for Highly Motivated jobs in New York City, NY? Browse our curated listings with transparent salary information to find the perfect Highly Motivated position in the New York City, NY area.

Privacy Risk Analyst - USDS

Company: TikTok

Location: New York, NY

Posted Jul 28, 2025

This position requires a candidate who can take the initiative to champion meaningful process improvements, perform detailed analysis of technical and…

HVAC Technician

Company: Irving Haase & Co., Inc.

Location: New York, NY

Posted Jul 28, 2025

Valid driver’s license and clean driving record. Strong mechanical aptitude, problem-solving skills, familiarity with field service apps for work tickets etc.

UI Developer

Company: Galaxy Digital

Location: New York, NY

Posted Jul 28, 2025

Free virtual coaching and counseling sessions through Headspace. At Galaxy, we maintain a total compensation philosophy which consists of a competitive base…

Customer Experience Coordinator

Company: Arrive

Location: New York, NY

Posted Jul 28, 2025

Handle administrative duties such as: answering phones, emails, website chat and light space cleaning (eco-friendly policy), folding laundry to help maintain a…

VP, Corporate and Brand Communications - The Americas

Company: Estee Lauder

Location: New York, NY

Posted Jul 28, 2025

Media, and brand perception, driving strategic mitigation measures. Champion the use of digital tools (intranets, video updates, mobile apps, collaboration…

Plumbing Apprentice

Company: Service Ready

Location: Queens, NY

Posted Jul 28, 2025

*plumbing knowledge while assisting technicians on service calls. *Familiarize yourself with local plumbing codes, regulations, and standards, and ensure…

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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