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.

Chief of Staff

Company: Verse Medical

Location: New York City, NY

Posted Jan 24, 2025

Verse Medical is a company building modern software infrastructure for hospital-quality care at home, addressing the challenges of the current patchwork in-home care process. They operate across 47 states and are backed by top investors in technology and healthcare. They are hiring a Chief of Staff to partner closely with the CEO, ensuring operational excellence, and driving critical initiatives. The role involves operational support, analytical and reporting, strategic focus, and process and organization improvements. The ideal candidate should have a strong work ethic, analytical excellence, detail-oriented skills, a technical background, problem-solving abilities, excellent communication skills, and the ability to work in-person in their NYC office.

Duane Reade Shift Leader

Company: Walgreens

Location: New York, NY

Posted Jan 24, 2025

Internal Audit - Compliance/Legal Audit-Salt Lake City-Associate

Company: Goldman Sachs

Location: Salt Lake City, UT

Posted Jan 24, 2025

Goldman Sachs is seeking a detail-oriented Internal Audit, Compliance & Legal Associate. The role involves assessing the firm's controls, ensuring compliance with laws and regulations, and advising on control solutions. The ideal candidate should have a strong risk and control mindset, analytical skills, and the ability to work in a fast-paced global environment. Goldman Sachs values diversity and offers comprehensive support to its employees. The firm is committed to fostering an inclusive culture and providing growth opportunities.

Corporate Planning & Management, Software Engineer, Spend Platform

Company: Goldman Sachs

Location: New York, NY

Posted Jan 24, 2025

Goldman Sachs is seeking a Software Engineer with 0-5 years of experience. The role involves software design and development, using best open source software, databases, cloud solutions, and programming languages. The engineer will work with various teams to build and automate solutions, contributing to the firm's position on the cutting edge. Basic qualifications include a Bachelor's Degree, proficiency in MS Office, strong organizational skills, and the ability to manage multiple projects. Preferred qualifications include expertise in Java, C++, Python, React/Angular/Redux, and NoSQL databases. Goldman Sachs offers competitive compensation and benefits, fostering a culture of diversity and inclusion.

Software Engineer (Technical Leadership) - Machine Learning

Company: Meta

Location: New York, NY

Posted Jan 24, 2025

Meta is recruiting for a Machine Learning Engineer position, targeting candidates with extensive experience in various classification and optimization problems. The ideal candidate should have a strong background in areas such as payment fraud, click-through rate prediction, and text/sentiment classification. The role involves applying these skills to tackle significant social data and prediction problems. Key responsibilities include driving team goals, communicating complex features, understanding industry trends, and developing scalable classifiers. The minimum qualifications include a Bachelor's degree in a relevant field, experience leading projects with industry-wide impact, and proficiency in programming languages like Python, C++, Java, or R.

Data Scientist, Financial Crimes - USDS

Company: TikTok

Location: New York, NY

Posted Jan 24, 2025

TikTok U.S. Data Security (USDS) is a subsidiary of TikTok in the U.S., focusing on data protection and content assurance. The Financial Crime Compliance team within USDS seeks a Data Scientist to leverage machine learning, analytics, and visualization techniques to detect and prevent financial crimes. The role involves developing machine learning models, analyzing large datasets, and creating visualizations to identify patterns and potential risks. The ideal candidate should have a degree in Computer Science, Data Science, Statistics, or a related field, and 2+ years of experience in data analysis, machine learning, or data visualization with a focus on financial crime compliance.

Quantitative Engineer, Digital Lifecycle Advice-New York-Associate-Asset & Wealth Management

Company: Goldman Sachs

Location: New York, NY

Posted Jan 24, 2025

Goldman Sachs is seeking innovative and problem-solving Engineers to join their Technology Division and global strategists groups. The role involves building scalable software and systems, architecting low latency infrastructure solutions, and leveraging machine learning in financial engineering. Engineers will work on dynamic asset allocation methodologies, strategic asset allocation model construction, and financial planning methodologies. They will design, model, implement, test, debug, and enhance financial advice methodology for goal- and risk-based solutions. The ideal candidate should have an advanced degree in Computer Science, Operational Research, Applied Mathematics, or Quantitative Finance/Economics, with a PhD preferred. They should have 3 years of experience in the financial advice industry and strong software engineering skills. The position is based in New York, with a salary range of $115000-$180000.

Travel Nurse RN - PACU - Post Anesthesia Care - $2,393 per week

Company: Fusion Medical Staffing-Nursing

Location: Oklahoma City, Oklahoma

Posted Jan 24, 2025

Fusion Medical Staffing is seeking a travel nurse RN for a 13-week PACU - Post Anesthesia Care assignment in Oklahoma City, Oklahoma. The job offers competitive pay, comprehensive benefits, and a supportive clinical team. Fusion Medical Staffing emphasizes making a positive impact, providing opportunities for personal and professional growth, and fostering a traveler-first mentality. The role involves collaborating with healthcare team members, administering medications, and monitoring patients' responses to interventions.

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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