9th grade algebra tutor (in-home/part-time)

afterschool stem instructor + tutor (k-8, ues, spring 2026)

part time reading tutor for 4th grader in nyc

9th grade algebra tutor (in-home/part-time) Jobs in New York

afterschool stem instructor + tutor (k-8, ues, spring 2026) Jobs in New York

part time reading tutor for 4th grader in nyc Jobs in New York

9th grade algebra tutor

In-Home Tutors

We have a need for a Tutor to work with a 9th grade student who needs help with Algebra. he is completing a course with FLVS. He comes to us through our partnership with Family Partnership, who helps students in foster care.You will be meeting face to face, at the student's home in Newport Richey 34652<ul><li>Job Type: Part-time (Independent Contractor)</li><li>Pay: $30.00/hour</li><li>Location: In-person tutoring at Newport Richey 34652</li><li>Schedule: 1-2 sessions per week for 1 hour each session</li><li>You&rsquo;ll report hours via our online system and are paid twice per month.</li></ul>Requirements<ul><li>Bachelor&rsquo;s Degree</li><li>Driver's License</li><li>Preference is given to tutors with a teaching or educational background.</li></ul>An ideal tutor is:<ul><li>Encouraging, patient, Dependable and consistent</li></ul>If you're passionate about helping students succeed and want to make a real difference, we&rsquo;d love to hear from you!Pay: $30.00 per hourApplication Question(s):<ul><li>We are Not an online company, Are you able to meet at the student's home in New Pt Richey, FL 34652?</li></ul>Education:<ul><li>Bachelor's (Required)</li></ul>Work Location: In person

9th grade Algebra Tutor (In-Home/Part-Time)

DataAnnotation

<div>
 We are looking for an advanced mathematician to join our team to train AI models. You will measure the progress of these AI chatbots, evaluate their logic, and solve problems to improve the quality of each model.
 
 
 In this role you will need to hold an expert level of mathematical reasoning. Other related fields include, but are not limited to: Applied Mathematics and/or Computer Science.
 
 
 
 Benefits
 
 
 
 <ul>
 <li>
 This is a full-time or part-time REMOTE position
 </li>
 <li>
 You&rsquo;ll be able to choose which projects you want to work on
 </li>
 <li>
 You can work on your own schedule
 </li>
 <li>
 Projects are paid hourly starting at $40+ USD per hour, with bonuses on high-quality and high-volume work
 
 
 </li>
 </ul>
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Give AI chatbots writing and editing tasks and evaluate their outputs
 </li>
 <li>
 Evaluate the quality produced by AI models for correctness and performance
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Fluency in English (native or bilingual level)
 </li>
 <li>
 Detail-oriented
 </li>
 <li>
 Proficient in arithmetic, algebra, geometry, calculus, probability, statistics, and inductive/deductive reasoning
 </li>
 <li>
 A current, in progress, or completed Master&rsquo;s or PhD is preferred but not required
 
 
 </li>
 </ul>
 
 Notes
 
 
 
 Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. Only applicants in the United States will be considered for this role. This is an independent contract position.
 
 
 #math
</div>

AI Training, Mathematics

Société Générale

<div><div><h2 class="jobSectionHeader">Responsibilities
</h2><div>DIVISION DESCRIPTION:
Global Banking and Advisory (GLBA) combines recognized wholesale coverage with world-class product, financing, and advisory expertise within one team, enabling us to best support our clients. On the one hand, our transversal, product-neutral coverage teams span all businesses to promote the bank's products and services to our clients globally, and on the other, we provide world-class capital raising, financing and advisory expertise.
We are seeking an experienced Systematic Trading Systems Strategist / Head of Algorithmic Trading Technology to lead the design and development of a next-generation systematic trading platform focused on U.S. investment-grade corporate credit. This role sits at the intersection of quantitative research, trading, and technology, with a mandate to scale real-time trading capabilities across cash bonds, ETFs, and credit derivatives. The position is highly cross-functional and involves close collaboration with global teams to build a consistent and scalable systematic framework across regions.
Responsibilities: 
 
You will lead the end-to-end build-out of a systematic trading platform for spread-based investment-grade corporate bonds in the U.S., developing scalable infrastructure across signal generation, pricing, execution, portfolio construction, and risk management. This includes integrating relative value, liquidity, and pricing analytics into trading workflows.
You will work closely with global technology, quant, and trading teams to align development efforts, ensuring the platform reflects regional differences in market structure, liquidity, regulation, and data availability. You will also establish coordination frameworks and development standards to promote consistency across geographies while allowing for localized model calibration and execution approaches.
A central aspect of the role will be the development of real-time signal optimization and pricing frameworks, enhancing price formation through dynamic fair value models, liquidity-aware adjustments, and execution-sensitive signals embedded directly into trader decision-making tools.
You will develop portfolio trading and risk optimization capabilities to support efficient basket execution across credit markets, alongside robust hedging frameworks spanning factor-based, spread-based, and cross-asset strategies using ETFs, CDS, and indices. This includes implementing constraint-aware portfolio optimization and building technology supporting ETF primary market activity, including basket construction, pricing, creation/redemption workflows, NAV alignment, and arbitrage identification.
In parallel, you will build tools to identify, test, and deploy systematic strategies across a broad product universe, including single bonds, ETFs, CDS/CDX, and credit derivatives, supporting relative value, basis, arbitrage, and volatility-driven approaches.
You will also design and enhance execution strategies tailored to fixed income markets, addressing fragmented liquidity and RFQ-driven workflows, while improving performance through data-driven analytics, feedback loops, and transaction cost analysis, including portfolio-level execution for basket and ETF-related flows.
</div></div><div><h2 class="jobSectionHeader">Profile required
</h2><div>Skills and Qualifications:
The ideal candidate brings significant experience in systematic or algorithmic trading, with deep expertise in fixed income markets, particularly investment-grade credit, credit derivatives, and ETF market structure. Experience with portfolio trading, ETF primary market mechanics, or relative value strategies is highly valued, as is the ability to operate effectively in a global, cross-functional environment.
You have 8+ years of experience in systematic/algorithmic credit trading and related quantitative strategy and systems development.
You have a strong track record of building real-time trading systems or algorithmic platforms, along with solid programming skills (Python, C++, or Java) and a strong foundation in quantitative methods, portfolio construction, and optimization. 
 
You hold an advanced degree in computer science, engineering, quantitative finance, mathematics, or related field. 
Must Have:
Advanced degree in Computer Science, Engineering, Mathematics, Finance, or related field.
8&ndash;15+ years of experience in systematic trading, algorithmic trading, or quantitative strategy development.
Deep knowledge of fixed income markets, particularly, investment grade corporate bonds, credit derivatives (CDS/CDX), fixed income ETFs and ETF mechanisms (create/redeem)
Proven experience building real-time trading systems or algorithmic platforms.
Ability to translate quantitative insights into production-grade systems.
Strong understanding of cross-asset linkages (cash bonds, ETFs, derivatives).
Excellent cross-functional communication skills.
Strong problem-solving capability in complex, real-time environments.
Nice to Have:
Familiarity with machine learning applications in trading and signal generation.
Prior leadership experience in a global, multi-team environment. 
Proficiency in French. 
Series 7, 63, and 57.
</div></div><div><h2 class="jobSectionHeader">Business insight
</h2><div>Societe Generale is committed to offering an inclusive recruitment experience to all candidates. If you require any reasonable accommodations during the recruitment process, please do not hesitate to let our Recruiters know.
OUR CULTURE: 
At Societe Generale, we live by our 4 core values of commitment, responsibility, team spirit and innovation. We are engaged and demonstrate consideration for others. We act ethically and with courage. We focus our talent and energy on collective success. We experiment and propose new ideas. This way, we maximize our ability to serve client needs and anticipate market changes. Societe Generale is committed to strengthening bonds with colleagues, communities, and the world in which we live, because relationships are at the heart of how we operate. For more information about our Culture and Conduct initiatives, please visit this link (https://americas.societegenerale.com/en/careers/get-know-culture/)
DIVERSITY, INCLUSION &amp; BELONGING (&ldquo;DIB&rdquo;): 
Our DIB Mission: Recruit, develop, retain and advance a talented workforce that is united in our efforts to leverage our talent and further develop an inclusive environment that will enhance our competitive position and deliver innovative solutions to our clients. It seeks to foster an environment where employee differences are valued and where all employees feel engaged, supported, respected, and informed. For more information about our DIB initiatives, please visit this link: https://americas.societegenerale.com/en/careers/get-know-diversity/
COMPENSATION: 
Base salary range does not include overtime pay, bonus and/or other benefits, where applicable. Actual base salary offer will vary based on skills and experience. The role is eligible for an annual discretionary bonus and includes a competitive benefits package including 401(k) plan with company match, medical/dental/vision, and other benefits for fertility, wellness, student loans and commuters.
</div></div><div><div><div>Diversity and Inclusion
</div><div></div><div>Societe Generale is an equal opportunity employer, and we are proud to make diversity a strength for our company. We are committed to recognizing and promoting the talents and achievements of our employees and staff, regardless of race, religion, color, national origin, sex, disability, age, gender, sexual orientation, and any other characteristic or status protected under applicable law.</div></div></div></div>

Desk Head Quantitative Advisor

Achievement First

<div>
 
 School Year
 
 : 26-27
 
 
 
 Teaching At Achievement First
 
 
 
 Achievement First invites you to apply for a teaching role! This is an exciting opportunity for teachers dedicated to delivering exceptional instruction while continually growing in their craft. At AF, you'll be part of a vibrant, supportive community where professional development, collaborative planning, and personalized coaching from school leaders are a part of your weekly experience.
 
 
 In this role, you won't just be preparing students for college and career&mdash;you'll be inspiring them to lead lives of purpose, leadership, and impact. You'll create a learning culture in which scholars can discover their fullest potential and become agents of change, making a difference within their communities and beyond.
 
 
 At AF, we believe in nurturing the whole child, setting high academic standards, and fostering a classroom environment where students thrive both intellectually and emotionally&mdash;and can be their authentic selves. Together, we are building a more just and equitable world, one classroom at a time.
 
 
 Join us, and be part of a team that is transforming lives through the power of education.
 
 
 
 Responsibilities of an Achievement First Teacher will include but are not limited to:
 
 
 
 
 Outstanding academic achievement and personal development
 
 
 
 <ul>
 <li>
 Create a positive, achievement-oriented and structured learning environment that excites and invests students to reach ambitious goals.
 </li>
 <li>
 Build classroom community by partnering with families to facilitate children&rsquo;s academic success and personal development.
 </li>
 <li>
 Utilize data from Achievement First&rsquo;s interim assessments to drive instruction and intervention.
 </li>
 <li>
 Implement unit and lesson plans with the grade or subject team.
 </li>
 <li>
 Exemplify AF&rsquo;s core values in all interactions with students, families, and colleagues.
 
 
 </li>
 </ul>
 
 Professional learning, development and growth
 
 
 
 <ul>
 <li>
 Collaborate with coach, grade-level chair and school team to improve instructional, culture-building and leadership skills.
 </li>
 <li>
 Attend all professional development, team planning and data analysis meetings.
 
 
 </li>
 </ul>
 
 Skills And Characteristics
 
 
 
 <ul>
 <li>
 Strong instructional and classroom management skills.
 </li>
 <li>
 High level of personal organization and planning.
 </li>
 <li>
 Embraces feedback as an opportunity for growth, openly listening and reflecting on input from others.
 
 
 </li>
 </ul>
 
 Educational Background And Work Experience
 
 
 
 <ul>
 <li>
 Experience working with K-12 students, with two years of teaching experience preferred.
 </li>
 <li>
 Bachelor&rsquo;s degree with a GPA of at least 3.0; Master&rsquo;s degree preferred.
 </li>
 <ul>
 <li>
 If your GPA is between 2.5 and 3.0, you may submit additional recommendations to be considered.
 </li>
 </ul>
 <li>
 New York certified or in the process of obtaining a certification.
 </li>
 <ul>
 <li>
 NY: If you are not yet certified, you may learn more about the process at http://eservices.nysed.gov/teach/certhelp/CertRequirementHelp.do
 
 </li>
 </ul>
 </ul>
 
 Compensation &amp; Benefits
 
 
 
 <ul>
 <li>
 Employees at Achievement First are provided with a competitive salary. Our salaries are set through a lens of equity, and based on an individual&rsquo;s skills, education, and years of experience relevant to the role. Teacher salaries in NY range from $66,040-$113,198.
 </li>
 <li>
 As a regular full time employee of Achievement First, you will be eligible for benefits that include medical, dental, vision, and life insurance as well as a 403(b) retirement benefit package with match and paid Family Leave.
 
 
 </li>
 </ul>
 Achievement First is an equal opportunity employer and an organization that values diversity. People from all diverse backgrounds are strongly encouraged to apply. Spanish language proficiency is a plus. You can learn more about diversity at Achievement First here: http://achievementfirst.org/about-us/diversity/
</div>

26-27 TFA Teacher (NY TFA confirmed corps members ONLY)

ALICE + OLIVIA

<div>
 
 Location: New York, NY or Secaucus, NJ (Hybrid)
 
 
 Decision Science Engineer (Applied Data Scientist)
 
 
 
 
 
 
 POSITION SUMMARY:
 
 
 
 ALICE + OLIVIA is hiring a Decision Science Engineer to build, operationalize, and own predictive models that improve decision making across Planning, Merchandising/Buying, Customer 360, and Inventory Management. Working primarily within Palantir Foundry as the core analytics and deployment platform, this role bridges data science and platform engineering, translating real-world commercial constraints including seasonality, product lifecycle, allocations, replenishment, promotions/markdowns, and customer behavior into practical, production-grade, human-in-the-loop models.
 
 
 
 
 
 This is a highly cross-functional role with direct, ongoing exposure to business stakeholders and end users, from planners and buyers who consume and act on model outputs, to the teams working within Foundry Workshop applications day-to-day. Understanding how outputs are used in real workflows, and staying close to the people using them, is central to how this role operates. Sitting within the IT organization and serving the full business including DTC, wholesale, planning, and supply chain, this position carries direct visibility to executive business stakeholders. This role is focused on applied data science, decision-support modeling, and model operationalization, not reporting or core data engineering, while partnering closely with Engineering, BI, and the broader Enterprise Applications team.
 
 
 
 
 
 
 RESPONSIBILITIES:
 
 
 <ul>
 <li>
 Design, build, and maintain predictive and statistical models supporting retail planning, buying, inventory, and demand forecasting.
 </li>
 <li>
 Operationalize models within Palantir Foundry using Code Workbook and Code Repository, working against Snowflake as the primary data source and ensuring outputs are production-grade and maintainable.
 </li>
 <li>
 Own and evolve analytics logic and assumptions embedded in planning and buying workflows.
 </li>
 <li>
 Partner with Planning, Buying, Merchandising, and DTC teams to translate business needs into model-driven insights, maintaining direct, ongoing relationships with the stakeholders and end users consuming model outputs.
 </li>
 <li>
 Collaborate with the Enterprise Applications team on Workshop app development to ensure model outputs are surfaced effectively in business-facing Foundry applications.
 </li>
 <li>
 Build models for customer segmentation, CLV, retention/churn, propensity, and campaign targeting (Customer 360).
 </li>
 <li>
 Collaborate with Engineering, who owns data pipelines and Snowflake ingestion, to ensure model inputs are reliable, well-governed, and fit for purpose without owning the underlying data infrastructure.
 </li>
 <li>
 Support human-in-the-loop workflows where planners and buyers can interrogate, override, or adjust model outputs in real time.
 </li>
 <li>
 Validate model outputs against business reality and historical performance, closing the loop directly with end users on model accuracy and relevance.
 </li>
 <li>
 Document methodologies and assumptions to support long-term ownership and institutional knowledge.
 </li>
 </ul>
 
 
 
 
 
 QUALIFICATIONS:
 
 
 <ul>
 <li>
 4 to 8+ years of experience in data science, applied analytics, or predictive modeling.
 </li>
 <li>
 Strong experience building predictive or statistical models including forecasting, optimization, regression, and classification.
 </li>
 <li>
 Proficiency in Python for data analysis, modeling, and production-grade code.
 </li>
 <li>
 Strong SQL and hands-on experience with Snowflake or equivalent cloud data warehouse.
 </li>
 <li>
 Experience with Palantir Foundry strongly preferred, including familiarity with the Foundry Ontology layer, analytics and modeling tooling (Code Workbook, Code Repository), and how model outputs are surfaced through business-facing applications. Candidates who can reason within and contribute to an existing Ontology, and who understand how the semantic data layer connects to model design, will be prioritized.
 </li>
 <li>
 Familiarity with experiment design and causal inference.
 </li>
 <li>
 Experience with time-series forecasting at scale.
 </li>
 <li>
 Retail domain experience strongly preferred, including familiarity with demand vs net sales, sell-through, markdowns, planning vs buying workflows, seasons, price groups, and store vs e-commerce dynamics.
 </li>
 <li>
 Experience working with messy, real-world data and designing models that support business judgment.
 </li>
 <li>
 Ability to reason about semantic or ontology-based data models.
 </li>
 <li>
 Strong communication and relationship skills, comfortable working directly with planners, buyers, and business stakeholders, and able to translate model outputs into decisions, not just insights.
 </li>
 <li>
 Long-term ownership mindset for maintaining and evolving models over time.
 </li>
 <li>
 Hands-on experience building or contributing to Palantir Foundry Workshop applications.
 </li>
 <li>
 Background in wholesale or multi-channel retail, including familiarity with the operational differences between DTC, wholesale, and brick-and-mortar planning cycles.
 </li>
 <li>
 Exposure to agent-based or AI-assisted analytics workflows.
 </li>
 <li>
 Experience working within a formal data governance or steerco-driven prioritization structure.
 </li>
 <li>
 Familiarity with Snowflake-native development patterns including dbt, Snowpark, or similar.
 </li>
 </ul>
 
 
 
 
 
 ADDITIONAL INFORMATION:
 
 
 
 This role sits within the IT organization, reporting to the VP of Information Technology, and operates across the full business including Planning, Merchandising/Buying, DTC, and Supply Chain. Engineering owns ETL, data pipelines, and Snowflake ingestion. BI owns reporting and dashboards. This role owns predictive modeling, decision-support analytics, and model operationalization within Palantir Foundry. Work is prioritized through a cross-functional steering committee with direct business stakeholder representation, ensuring this role has structured visibility into commercial priorities and executive-level exposure from day one.
 
 
 
 
 
 ALICE + OLIVIA is at an inflection point in how it uses data to make decisions. This role is central to that transformation, building the analytics capability that connects our Palantir Foundry investment to real commercial outcomes across every part of the business. This is not a role that maintains existing infrastructure or produces reports. It is a greenfield opportunity to own a strategic function, work directly with the teams making decisions, and build something that compounds in value over time. For the right person, it is a rare combination of technical depth, business proximity, and organizational support.
 
 
 
 
 
 $150,000 -175,000 base salary (This range represents the low and high end of the anticipated base salary range for this NY OR NJ - based position. The base salary will depend on numerous factors such as: experience and qualifications for the role, experience level, skillset, and balancing internal equity relative to other A+O employees.)
 
</div>

Data Scientist

Crédit Agricole CIB

<div>
 
 
 Team and position
 
 
 
 
 
 
 Credit Agricole is among world top 10 banking groups. Our NY based Leveraged Finance team is directly responsible for origination and execution of LBOs with leading Private Equity Funds in North America, as well as financings for leveraged (non-investment grade) corporates, across loans and HY bonds. In addition, the team is also in charge of event driven financings (M&amp;A and IPO related) for Investment Grade clients, and of leveraged / structured financing transactions in the TMT sector, including the current wave of infrastructure flavored deals (towercos, data centers, fibercos, GPU Financings) with Infrastructure Funds, across North America and Latam. It is referred to internally as the &ldquo;LATFG&rdquo; team (Leveraged, Acquisition &amp; TMT Finance).
 
 
 
 
 
 Building on its recent successes, the team is expanding to support its strong growth ambitions. In order to address the increasing volumes of credit and reporting management work generated by our expanding loan portfolio, we are setting up a portfolio management (PFM) team.
 
 
 We are opening a Portfolio Management analyst position. The analyst will report to the Director in charge of Portfolio Management, with regular interaction with the origination part of LATFG team.
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 
 
 1) Credit monitoring of our loan portfolio:
 
 
 Contribute to the ongoing credit monitoring work for part of the leveraged finance and TMT loan portfolio (current volume of about 75 deals): write up of annual reviews, credit papers in relation to
 
 
 waivers and amendments, quarterly write ups for distressed loans. In close coordination with
 
 
 respective deal/client teams.
 
 <ul>
 <li>
 Proactively flag to client teams any early warning signals of credit deterioration, concerns, or ideas for commercial opportunities
 </li>
 <li>
 Ensure timely propagation of internal risk rating decisions within the internal IT systems.
 </li>
 <li>
 Occasionally represent the team in the various credit committees (NY credit committee, CLF credit committee, CRC) and monitoring committees (Quarterly committees for underperforming loans or loans under watchlist &ldquo;SARs&rdquo; and &ldquo;SACs&rdquo;), underperforming or under watch loans
 </li>
 <li>
 Coordinate with CLF Loan Operations team to monitor evolution of the portfolio (increases or reductions via amortization, prepayments, secondary trades etc)
 </li>
 <li>
 Coordinate with CLF Loan Operations and respective deal/client teams to ensure authorizations recorded in internal systems are accurate and up to date.
 </li>
 <li>
 Maintain close coordination on all of the above tasks with respective LATFG client teams. Interact with clients whenever necessary to clarify credit related questions, in coordination with the LATFG client team.
 </li>
 <li>
 Review quarterly or annual information provided by client, connect to lender or investor calls organized by clients and relay summaries of meaningful information to LATFG team manager and respective LATFG client team.
 </li>
 <li>
 Depending on deal flow, there will also be occasional opportunities to get involved in live, new deals as part of the origination deal team.
 </li>
 </ul>
 
 
 
 
 2) Contribute to Internal and Regulatory Reporting:
 
 <ul>
 <li>
 Collect data and under PFM Director, assist with the regular requests for reporting from our
 </li>
 </ul>
 
 internal stakeholders (HO business line, COO teams, RPC): monthly anomaly reports, monthly
 
 
 LevFin excel pipeline, quarterly portfolio review files, &ldquo;deals world&rdquo; database for LBOs, etc
 
 <ul>
 <li>
 Contribute to recurring, ad hoc, and annual audits (NY annual and quarterly Compliance Loan Review, ad hoc NY portfolio reviews, Internal Audit &ldquo;Inspection Generale&rdquo;, add hoc CUSO reviews)
 </li>
 <li>
 Assist team manager and respective deal teams in ensuring that the CLF pipeline tool (&ldquo;Diamond&rdquo;) is up to date.
 </li>
 <li>
 Contribute to occasional ad hoc information requests when and as required
 </li>
 <li>
 Assist LATFG manager with periodic estimate of landing vs budget and other planning tasks
 </li>
 </ul>
 
 
 
 
 
 Candidate background / experience
 
 
 <ul>
 <li>
 Ideally 1-2 years experience in either a leveraged finance environment (portfolio management, credit analyst or origination and execution), or a credit risk / credit underwriting and monitoring function.
 </li>
 <li>
 Relevant academic background (BA/BS degree with economics/finance major coursework, ideally Master's degree &ndash; Msc Finance or MBA).
 </li>
 </ul>
 
 
 
 
 
 Skills
 
 
 <ul>
 <li>
 Strong quantitative and qualitative analytical skills
 </li>
 <li>
 Prior experience in financial analysis, cash flow modeling experience will be a plus
 </li>
 <li>
 Reliability, attention to detail and quality outputs,
 </li>
 <li>
 Good organizational skills: ability to keep track of deadlines, to organize its own work
 </li>
 <li>
 Good communication and interpersonal skills (ability to communicate seamlessly with various front office deal teams, and capacity to interact convincingly and forcefully with internal partners, in particular with risk &amp; senior representatives from business line or coverage)
 </li>
 <li>
 MS Office suite proficiency
 </li>
 <li>
 Fluency in a second language (in particular French, Portuguese, Spanish) is a plus.
 </li>
 </ul>
 
 
</div>

Leveraged, Acquisition & TMT Finance Americas – Portfolio Management - Analyst

HONEYDEW

<div><h2 class="jobSectionHeader">About Honeydew
</h2>No one should suffer from a treatable skin disease because they couldn't access care. That's what Honeydew is fixing &mdash; a platform connecting hundreds of millions of people to licensed dermatologists, FDA-approved treatments, and ongoing skin health support. We've helped 40,000+ patients get life-changing results, we're growing 5x YoY, and we're just getting started.<h2 class="jobSectionHeader">
Opportunity
</h2>We're building a growth team where strong creative drives real results. Design, performance, and iteration all work together &mdash; and this role sits right at the center of it.
We're looking for a Videographer &amp; Video Editor who can own both sides of the camera and hit the ground running. We're looking to start this role part-time (20+ hours/week), with the expectation of transitioning to full-time for the right fit. If you're talented, aligned, and ready to grow with us, let's talk. We're building for the long-term.
This is a hybrid role: you'll travel to shoot with patients, dermatologists, brand ambassadors, and content creators across the U.S., then come back and edit what you filmed &mdash; plus cut concepts across our social and paid pipeline. Your work will live on Meta, TikTok, YouTube, organic, and web. You know how to shoot and cut for each one, and it shows.
You're the right person if you:<ul><li>
Are equally at home behind a high-def camera in a clinical setting and color-grading branded ads in post</li><li>
Can produce polished, hi-fi content without a full production crew behind you</li><li>
Know when &quot;good enough fast&quot; beats &quot;perfect eventually&quot;</li><li>
Stay scrappy, move quickly, and don't rattle under pressure</li><li>
Sweat the details &mdash; not because you need the fanciest gear, but because quality is just how you work</li></ul>
You&rsquo;ll join the Honeydew Growth team led by Connor Kreutz, and you&rsquo;ll report directly to Creative Lead Marina Pantoliano, who are both based in New York City.<h2 class="jobSectionHeader">
What You&rsquo;ll Do:</h2>
Field Production<ul><li>
Travel to shoot patients, Honeydew&rsquo;s CEO, dermatologists, brand ambassadors, and content creators across the U.S.</li><li>
Capture cinematic footage for hero brand content, testimonials, educational videos, UGC-style content, and social-first formats</li><li>
Own the full on-site process: shot planning, directing talent, lighting, audio, and broadcast-quality output</li><li>
Operate professional-grade equipment (your own preferred; equipment fees and rentals covered)</li><li>
Adapt across environments &mdash; medical offices, studios, outdoors</li></ul>
Post-Production<ul><li>
Edit your own field footage end-to-end, from rough cut through final export</li><li>
Cut native social (organic) and branded paid content when you're not in the field</li><li>
Execute color grading, audio mixing, motion graphics, and text overlays to brand standards</li><li>
Stay organized: file management, project archiving, and fast turnarounds in a deadline-driven environment</li></ul>
Collaboration<ul><li>
Partner with the Creative Lead and growth team to concept new creative</li><li>
Contribute to shot lists, production planning, and logistics for upcoming shoots</li><li>
Stay sharp on platform trends (Reels, TikTok, YouTube) and bring fresh ideas</li></ul><h2 class="jobSectionHeader">
Qualifications:</h2>
Required<ul><li>
4+ years of videography and editing experience, with a strong portfolio of hi-fi brand content</li><li>
Ability to travel regularly, including occasional overnight trips</li><li>
Ownership of professional-grade camera and audio equipment (Sony FX series, Canon Cinema line, BMPCC, RED, or equivalent)</li><li>
Expert-level proficiency in Adobe Premiere Pro and/or DaVinci Resolve</li><li>
Experience producing content across multiple formats: long-form brand films, :15/:30 paid social ads, vertical short-form, and interview/testimonial content</li><li>
Comfortable directing non-actor talent (patients, doctors, real people) on camera</li><li>
Highly organized with strong project management and communication skills</li></ul>
Nice to Have<ul><li>
Demonstrated experience shooting for consumer brands or lifestyle verticals</li><li>
Experience in healthcare, wellness, or dermatology content</li><li>
Familiarity with drone operation (FAA Part 107 certification a plus)</li><li>
Motion graphics or animation skills in Adobe After Effects or similar</li><li>
Basic photography skills for behind-the-scenes or supplemental still content</li><li>
Strong understanding of native and paid social content best practices across Meta, TikTok, and YouTube</li></ul><h2 class="jobSectionHeader">
Compensation &amp; Benefits</h2>
Part-time: $100&ndash;$120/hr (or project-based, commensurate with experience). Rate is flexible and we're happy to talk through what makes sense based on your experience.
Path to full-time for the right fit. Which would include:<ul><li>
Equity in Honeydew</li><li>
Flexible PTO</li><li>
Health, vision, and dental insurance (in the case of a full-time commitment)</li><li>
401k with company match</li><li>
One Medical, Kindbody, Talkspace, and HealthAdvocate memberships</li><li>
Company MacBook + monthly internet stipend</li><li>
All travel fully covered</li></ul>
Location: The team is NYC-based, but we&rsquo;re open to this being a remote position.
If this doesn&rsquo;t seem right for you, but you know a good candidate, please forward this along!<h2 class="jobSectionHeader">
More about Honeydew
</h2>Honeydew was started by David Futoran (Wharton) and the dermatologist who cleared his skin, Joel Spitz, MD (Princeton, Columbia), after David spent years struggling to access care.</div>

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